JP3757063B2 - Circulating manufacturing process logistics control method and apparatus - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
  The present invention relates to a physical distribution control method and apparatus in a production line having a circulation type production process of various types of manufactured products such as semiconductor wafers, liquid crystal display panels, and plasma CRTs.
[0002]
[Prior art]
  Lines for manufacturing semiconductor wafers, liquid crystal display panels, and plasma CRTs may have hundreds of processing steps, and the manufacturing equipment for each process is very expensive. A system that uses the same manufacturing equipment repeatedly in different processes and advances the processing by using the job shop method instead of arranging them in a line (a manufacturing process having such a method is referred to as “circulation” in this specification. The mold manufacturing process is often used. FIG. 31 shows an example in which the same manufacturing apparatus is repeatedly used in the circulation type manufacturing process. In the figure, the equipment a film forming apparatus 311 is repeatedly used.
[0003]
  Therefore, a plurality of workpieces are set in each manufacturing apparatus of a manufacturing line having a circulation type manufacturing process regardless of the order of loading. Furthermore, the delivery date of the work in progress varies depending on the product type. For example, the work immediately after loading and the work immediately before warehousing work on the same manufacturing apparatus as in steps 1, 4, and 7 shown in FIG. In some cases. In the figure, “sei” represents a film forming apparatus, “photograph” represents a photographic apparatus, and “note” represents an injection apparatus.
  Therefore, under the influence of the fluctuation of the input quantity, the processing load of each manufacturing apparatus fluctuates every day as shown in FIG. 33, and so-called bottleneck apparatuses change daily. For example, as shown in the figure, since the required production quantities of the product types 1 and 2 vary, the loads on the film forming apparatus group and the implantation apparatus group used by the respective products also vary.
[0004]
  Conventionally, in factories that have adopted a large-scale job shop production line format, the mathematical engineering optimization method using the operations research method and the knowledge engineering batch scheduling method using the neural network are problematic. It is difficult to carry out realistic physical distribution control due to its large scale and complexity, and for this reason, the so-called dispatching method is often used as basic control.
  In this method, several techniques are used to determine the rules for determining the work to be processed next from the pre-process inventory, that is, the dispatching rule, when the work currently being processed is completed. It is shown.
[0005]
  For example, as a widely used method, there is a first-in first-out (FIFO) method in which processing is performed simply in order from the earliest arrival. FIG. 34 is a diagram for explaining a FIFO that performs workpiece processing in the order of arrival in the work-in-process storage shelf 341. In the figure, the work of the product type 1 and the process 1 arrives at the work-in-process work storage shelf 341 earliest in the drawing, and is therefore processed with the highest priority.
  This method has a problem that even if there is a work whose work period has been delayed for a long time, it must be processed in the order of arrival according to the first-in first-out rule, and the work period is not stable. For example, in FIG. 35, even if a workpiece 352 with a delivery deadline of 0 arrives on the work-in-process work storage shelf 341, if a workpiece 353 with a delivery margin of 9 days arrives earlier than this workpiece, the workpiece without a delivery deadline. 352 is postponed.
[0006]
  Therefore, in order to realize a production system with a stable construction period, for example, in the one disclosed in Japanese Patent Laid-Open No. 9-123041, the dispatching rule is improved. FIG. 36 shows a flowchart of the operation for determining the processing priority order. This method includes a part that measures the work period and work in progress in the production system and a part that receives the input information from the production system status input unit and determines the processing order from the relationship with the work delay time based on the time reference value, The distribution control is performed by outputting the processing order determined there through the processing command output unit.
  FIG. 37 is an explanatory diagram showing an example of the operation of this method. In the initial state 371, it is assumed that the device α is loaded with workpieces (1) to (9) in the order of delay time to the device. When the processing is advanced from this state, since the processing is performed in the order of the delay time in the device α, the work in progress is accumulated in the device β one after another as shown in the state 372 after the processing progress. Since no work-in-process is supplied to γ, there may be a disadvantage that the apparatus operating rate deteriorates.
[0007]
  In particular, for the input into a process that becomes a bottleneck, for example, in the technique described in Japanese Patent Laid-Open No. 5-73574, a delivery time margin for each product is calculated, and dispatching is performed based on a certain algorithm. (Production) A production control device including means for determining a rule is disclosed.
  Further, as a technique for preventing the bottleneck equipment from being left empty in the variable variable job shop production line, for example, the technique disclosed in JP-A-5-61507 takes into account the dynamics of the variable variable job shop production line. In addition, there is disclosed a job shop production management system that incorporates a simulation model for comprehensively grasping various trade-off relationships such as manufacturing lead time and output (processing quantity), or a work-in-progress margin for failure.
[0008]
  Alternatively, as a method capable of shortening or extending the time required for manufacturing a specific product, for example, in Japanese Patent Application Laid-Open No. 5-61879, each product awaiting input for each process on the manufacturing line Each of which is stored with a process order product waiting product memory and provided with a priority order change accepting means, so that when a priority order change request from the outside is generated, the priority order change registering means A method for changing the order of input is disclosed.
  Further, in order to avoid the complexity of the arithmetic processing for determining these processing priorities, for example, in the one disclosed in Japanese Patent Laid-Open No. 9-167175, grouping is performed by paying attention to the same processing content of the production material. A method of assigning priorities among the groups, giving priorities to the production materials within the group, and assigning the production from the group with the highest priority to the work with the highest priority in the group Is disclosed.
[0009]
  In addition, as a framework that can flexibly set a strategy for dispatching to a resource such as a manufacturing apparatus in a simulation method with respect to a created work request, for example, what is disclosed in Japanese Patent Laid-Open No. 9-153090, Release rules that determine the input start date for each production order, filtering rules that preliminarily select work, routing rules that select releases of equipment, etc., and subsequent dispatching based on that information immediately after dispatching There are machining process production planning devices that have post-processing rules to add control.
  Further, as a method of performing partial rescheduling when a disturbance such as equipment failure occurs, for example, what is disclosed in Japanese Patent Laid-Open No. 5-108138 is a target for determining a job start order and a target equipment group There is a manufacturing plan creation device having equipment group determination means.
[0010]
[Problems to be solved by the invention]
  There are many work-in-process workpieces in a production line that has a recirculating manufacturing process, and when deciding the processing order, the simple dispatching rule represented by FIFO does not stabilize the work period and volume. was there.
  Therefore, in order to solve the above problem, a method such as Japanese Patent Laid-Open No. 9-123041 is shown as a technique aiming at stabilization of the work period. However, in this method, the dispatching rule becomes complicated, and the number of work pieces in progress In a production line with many circulation type manufacturing processes, the larger the number of workpieces in process, the more time it takes to determine the processing priority, and the more time it takes to work. . This is (Problem 1).
  In addition, although the method disclosed in Japanese Patent Application Laid-Open No. 9-123041 can stabilize the work period of each work, it is not a method for controlling the pouring of the work into the bottleneck device. It is difficult to determine what kind of workpiece processing should be given the highest priority in a production line that has high priority, and it is difficult to maintain the maximum production volume. Challenges arise. This is (Problem 2).
  In the example of FIG. 37, since the processing is performed in descending order of the delay time, the apparatus operating rate is deteriorated.
[0011]
  Regarding the complexity avoidance of the priority determination operation processing in the above (Problem 1), it is disclosed in JP-A-5-61879, JP-A-9-167175, JP-A-9-153090, and JP-A-5-108138. Has been. However, the technique disclosed in Japanese Patent Laid-Open No. 5-61879 is a technique showing a method for quickly adjusting under optimum conditions with respect to a change in the priority order of a specific workpiece. Since it is necessary to prioritize workpieces by some method in advance but the method is unknown, it is not a technique for solving the problem of the complexity of the dispatching rule calculation process after all.
  Japanese Patent Application Laid-Open No. 9-167175 discloses a technique for avoiding the complexity of arithmetic processing by performing pre-priority grouping. However, since this is grouped according to the identity of processing contents, In a production line having a cyclic manufacturing process of products, the number of groups increases on the basis of the grouping based on the identity of processing contents, and it is difficult to give priority among the groups classified as such.
[0012]
  Japanese Patent Laid-Open No. 9-153090 discloses a filtering rule for preliminarily selecting a dispatching rule and a process operation in a production plan based on a simulation method in order to minimize a change in a machining plan in response to a change in production order. This is an effective method when it is possible to arrange a group of devices that perform each process work in a row, but what is the same work like a production line with a cyclic manufacturing process? When the same manufacturing apparatus is repeatedly used, the work that has been filtered and excluded has a great influence on other work, and the influence of the filtering process is not considered along the time axis.
  In JP-A-5-108138, a facility group to be rescheduled is selected so that a manufacturing plan is not required many times for disturbances such as minor equipment failures within the planning period. Although it is a technology that is a manufacturing plan creation device having a target facility group determination means to reduce the calculation time by limiting the range of rescheduling, even in this case, the facility group to be calculated is selected unexpectedly It is limited at the time of rescheduling when equipment trouble occurs, and does not reduce the calculation time when creating a production plan periodically.
[0013]
  Further, regarding the improvement in the work volume by the work control to the bottleneck device in the above (Problem 2), the techniques are disclosed in JP-A-5-73574, JP-A-5-61507, and JP-A-5-108138. However, Japanese Patent Laid-Open No. 5-73574 discloses a production control device that calculates production status information including a bottleneck work center and a job delivery deadline by a production status grasping means and determines a production control policy in the bottleneck work center. However, in a production line having a complicated circulation type manufacturing process, the bottleneck situation is not fixed but dynamic, so that it is difficult to apply.
  Japanese Patent Laid-Open No. 5-61507 discloses a technique for calculating an appropriate work-in-process amount for the entire production line by using simulation in order to prevent a vacancy in a bottleneck facility in a dynamic production line, and controlling the input of the line. This is a technology that uses the best operating point of the entire line for line introduction, and does not perform assignment control for dynamically changing bottleneck equipment.
  In JP-A-5-108138, in the equipment group in which a failure has occurred, when the ratio of the scheduled processing time is small with respect to the accumulated time value that can be operated within the planning target period and there are few devices in progress, This is a technology that reschedules the manufacturing plan by using the fact that the influence does not affect other equipment groups, but this is only used to dynamically select the equipment to be scheduled, and identifies the bottleneck equipment. It is not used as a technology.
[0014]
  In the present invention, as shown in (Problem 1), the processing of the dispatching rule calculation method used for instructing a processing instruction for a work in a production line having a circulation type manufacturing process is complicated. To prevent the increase of the computation time due to becoming, and to reduce this, and as shown in (Problem 2), in the production system having the circulation type manufacturing process, the distribution control to the bottleneck apparatus which fluctuates dynamically It is an object of the present invention to provide a physical distribution control method and apparatus capable of stabilizing the work period and maintaining a high output per unit time by instructing an accurate processing instruction.
[0015]
[Means for Solving the Problems]
  Claim 1The circulation type manufacturing process distribution control method according to the above is based on the production target quantity information, the current production system status information, and the production standard information for the work in the production line. In addition to determining the target follow-up recommendation level, which is the desirability of progress, the work supply recommendation level, which is the desirability of supplying the work to the manufacturing apparatus according to the bottleneck degree of each manufacturing apparatus, is determined. And workpiece progress recommendation level for determining the processing priority of each workpiece based on the workpiece supply recommendation levelAccording to the following (Formula 1)Judgment.
(Work progress recommendation degree) = (1-target follow recommendation degree) × (1-work supply recommendation degree) (Equation 1)
[0016]
  The circulation type manufacturing process distribution control method according to claim 2 is a distribution line control method for a production line having a circulation type manufacturing process, wherein production target quantity information, current production system status information, Based on the production standard information, the target follow-up recommendation degree, which is the desirability of progress according to the degree of follow-up to the production target of each work, is determined, and the work supply to the production equipment according to the bottleneck degree of each production apparatus Determining the work supply recommendation level, which is the desirability, and the progress recommendation class, which is a work group for which machining processing is desirable based on the target follow-up recommendation level, and the progress stop, which is a work group for which machining processing is not desirable Three types of work information with a target tracking class for a class and a judgment pending class, which is a work group that cannot be judged either, and the above work supply recommendation level Work supply class with three work supply classes: a work supply recommended class that is a work group for which work supply is desired, a work supply stop class that is a work group for which work supply is not desirable, and a judgment pending class that is a work group that cannot be determined either Information is created, and based on a matrix of the work information with the target following class and the work information with the work supply class, the work progress recommendation degree for determining the processing priority of each class is determined.
[0017]
  Claim 3The circulation type manufacturing process distribution control method according toClaim 1 or claim 2In the description, the production target quantity information consists of the production target quantity upper value and the production target quantity lower value that is smaller than this, and the production results included in the production system status information, the production target quantity upper value, and the lower value The target follow-up recommendation degree is determined by comparing the value.
[0018]
  Claim 4The circulation type manufacturing process distribution control method according toClaim 3Based on the standard processing amount information set for each product type / process and the standard work schedule information set for each product type, the standard in-process quantity information is calculated, and this standard in-process quantity information and the current production system status Based on the information and the production standard information, the production target quantity upper value and the production target quantity lower value are calculated for each type and process.
[0019]
  Claim 5The circulation type manufacturing process distribution control method according toClaim 4In the description, the reference work schedule information has a plurality of reference work schedules for the same product type, and uses a plurality of reference work schedules according to the desired progress speed.
[0020]
  Claim 6The circulation type manufacturing process distribution control method according toClaim 1 or claim 2In the description, the equipment load status, which is the status of the load applied to each manufacturing device, is measured, and the device congestion status, which is the processing waiting status of the workpieces in progress on each manufacturing device, is measured, and the measured device load The bottleneck degree of each manufacturing apparatus is measured based on the situation information and the apparatus congestion situation information, and the work supply recommendation degree to the manufacturing apparatus is determined for each work according to the bottleneck degree.
[0021]
  Claim 7The circulation type manufacturing process distribution control device according to the present invention comprises a schedule planning computer for managing production target quantity information, a device controller for managing production system status information, a host computer for managing production standard information, and a distribution control computer system. Based on the production target quantity information, production system status information, and production standard information from the scheduling computer, equipment controller, and host computer, the logistics control computer system can make progress according to the degree of follow-up of each workpiece to the production target. A first arithmetic unit that determines a target follow-up recommendation degree, and a second arithmetic unit that determines a work supply recommendation degree that is the desirability of supplying a work to the manufacturing apparatus according to the bottleneck degree of each manufacturing apparatus; First to store the target follow-up recommendation degree determined by the first arithmetic unit Based on the storage device, the second storage device storing the work supply recommendation degree determined by the second arithmetic device, and the target follow-up recommendation degree and the work supply recommendation degree stored in the first and second storage devices. , The work progress recommendation degree to determine the processing priority of each workDetermined by the following (Equation 2)A third arithmetic unit for determination.
(Work progress recommendation degree) = (1-Target follow recommendation degree) × (1-Work supply recommendation degree) (Equation 2)
[0022]
  Claim 8The circulation type production process distribution control device according to the present invention is a distribution control device for a production line having a circulation type production process, a schedule planning computer for managing production target quantity information, a device controller for managing production system status information, and production standard information. The distribution control computer system includes a host computer for management and a distribution control computer system. The distribution control computer system is based on the production schedule quantity information, the production system status information, and the production standard information from the schedule planning computer, the device controller, and the host computer. Desirability of supply of work to the manufacturing apparatus according to the first computing device for determining the target follow-up recommendation degree that is the desirability of progress according to the degree of follow-up to the production target of the work and the bottleneck degree of each manufacturing apparatus The second performance to determine the recommended work supply level A first storage device that stores the target follow-up recommendation degree determined by the first arithmetic device, a second storage device that stores the work supply recommendation degree determined by the second arithmetic device, and Based on the target follow recommendation degree and the work supply recommendation degree stored in the first and second storage devices,Three target follow-ups: a progress recommendation class that is a work group for which machining processing is desirable, a progress stop class that is a work group for which machining processing is not desirable, and a judgment pending class that is a work group that cannot be determined either Three works: a work supply recommendation class that is a work group for which work supply with class and work supply is desirable, a work supply stop class that is a work group for which work supply is not desirable, and a judgment pending class that is a work group that cannot be determined either Create work information with supply class, based on the matrix of work information with target tracking class and work information with work supply class,And a third arithmetic unit that determines a work progress recommendation degree for determining the processing priority of each class.
[0023]
DETAILED DESCRIPTION OF THE INVENTION
Embodiment 1 FIG.
  FIG. 1 is a functional block diagram showing a physical distribution control method according to Embodiment 1 of the present invention. This embodiment is a method for achieving (Problem 1) among the above-mentioned problems. In the figure, reference numerals 11 to 14 denote first to fourth steps.
  As shown in the drawing, after the first step 11 for instructing the instruction generation processing time point, and before the third step 13 for performing processing priority ordering, all the works in the production line are preliminarily “progress recommended class” “ A second step 12 is provided for stratification into three classes: “progress stop class” and “determination pending class”. By this stratification, the time resources for calculating the processing order can be reduced by excluding the work belonging to the “progress stop class” from the target for instructing the processing instruction. However, in the conventional cyclic manufacturing process typified by the semiconductor wafer process, when determining the processing priority of each workpiece, a so-called “processing that is desirable to perform” such as a workpiece that has less days to delivery. However, it is difficult to select “a workpiece for which processing is not desirable”. It is one of the characteristics of the cyclic manufacturing process, and the processing is performed because the same workpiece is repeatedly processed by the same manufacturing device in the process section from the start of the process to the completion of the process. This is because there is a concern about the magnitude of the effects caused by selecting a workpiece that does not exist. Therefore, “work that is undesirable to be processed” has not been positively selected.
[0024]
  Therefore, details of each step in this embodiment will be described with reference to FIGS. First, the first step 11 will be described with reference to FIG.
  FIG. 2 is an explanatory view showing an operation example of the first step 11 for instructing the instruction generation processing time point of the distribution control.
  The time transition management means 21 stores the time interval data defined by the command time interval setting data 22 and the line pause data 24 that stores the time that the production line was paused between the previous command time data 23 and the current time. Based on this, the next command time data 25 is managed.
  For example, the previous command time 23 is “yyyy year mm month nn day 00:00”, the command time interval setting data 22 is “04 hours 00 minutes”, and the line pause data 24 is “01 hours 30 minutes”. If there is, the next command time 25 is “yyyy mm month nn day 00:00” + “04 hours 00 minutes” + “01 hours 30 minutes”, that is, “yyyy year mm month nn days 05:30” Is calculated.
  The distribution control command generation process time instruction means 26 compares the next command time 25 managed by the time transition management means 21 with the current time, and when the current time coincides with the next command time 25, the process time instruction 27 Is output.
[0025]
  The line pause data 24 may be automatically collected from the operation status of the apparatus, or may be registered by an operator. In the circulation type manufacturing process, the same manufacturing apparatus is repeatedly used at a time interval shorter than one day. Therefore, determining the “work not to be processed” in one day, that is, at an interval of 24 hours greatly affects the operating status of the manufacturing apparatus, and therefore involves a risk. In addition, when each workpiece arrives at the manufacturing apparatus (event occurrence), the determination is made sequentially, that is, in real-time processing, there is a problem that calculation time increases. That is, the command time interval setting data 22 is set to a time interval shorter than one day and longer than each device arrival event occurrence interval.
  FIG. 3 is an explanatory diagram for illustrating a method for determining a set value of the command time interval setting data 22.
  From the manufacturing procedure information 111 and the processable device information 112, a usable device is selected for each process, and the manufacturing device flow information 31 is generated. The required time Σx between processes using the same manufacturing apparatus is obtained from the manufacturing apparatus flow information 31. In the example shown in the figure, the time for returning from the device A to the same device A between the steps 1 to 5 for the product type B is 4.0 hours. The value is calculated for every manufacturing apparatus, and the result is stored in the interval data 32. In this example, the command time interval calculation result 33 is obtained from the average value of the interval data 32.
  Further, the command time interval setting data 22 may be obtained by using the command time interval calculation result 33 or by an operator empirically such as “every hour” or “every 4 hours” in advance. It is also possible to register.
[0026]
  Next, the operation of the second step 12 will be described with reference to FIG. FIG. 4 is an explanatory diagram showing an operation example of the second step 12 in which all the works in the production line are divided into three classes.
  The work information data 104 holds work information including information unique to the work such as the lot number (lot No.) and the number of days for delivery due to all works (the work is indicated by the lot No., the same applies hereinafter). This work information can be processed by, for example, a work group that clearly has no deadline due to the number of days for delivery, that is, a work group that desirably performs processing, and a work group that clearly has a margin for delivery, that is, machining. Sort into undesired workpiece groups and classify the remaining workpieces as workpiece groups that cannot be determined either. This is stored as work information 41 with class as a classification result.
  In this example, it is desirable to process a work group that is preferably processed with a deadline margin of 2 days or less, that is, a “progress recommended class” (hereinafter referred to as group A), and perform a process with a deadline of 7 days or more. An undesired work group, that is, a “progress stop class” (hereinafter referred to as C group), was selected as a work group that could not be determined as belonging to any class, that is, a “determination pending class” (hereinafter referred to as B group).
  In this example, the number of days for delivery is used as a determination variable that serves as a selection criterion. However, it is also possible to make a determination based on delay time, inventory margin, stagnation time, and the like. Further, the method for setting the threshold value for each selection criterion is not particularly limited.
[0027]
  Next, the operation of the third step 13 will be described with reference to FIG. FIG. 5 is an explanatory diagram showing the operation of the third step 13 for calculating and adding the processing priority in each class.
  In general, a workpiece to be processed by each manufacturing apparatus after the present time, the current processing is completed, and the event occurrence point at which the workpiece to be processed is sequentially counted as the in-process for the next process is used as a trigger. The workpiece to be processed next in the manufacturing apparatus is selected in real time from the workpieces in the processable state in the manufacturing apparatus based on a certain priority order. As a method for determining the priority order, an arrival order (FIFO) rule is typical, and there are several rules.
[0028]
  In the present embodiment, the work information 41 describing the process in which each work is currently in progress (stagnation) includes the second step 12 for classifying all the works in the production line into three classes. The layered information is added via this, and based on this and the processable device information 112, the in-process work set information 51 for each manufacturing device is generated. This information is a set of pieces of workpieces that can be processed by the manufacturing apparatus now or next, and the second step 12 stratifies all the workpieces in the production line into three classes. It has class information stratified. For this reason, when performing the selection work 52 based on a certain priority order from among the work in progress that can be processed by the manufacturing apparatus, first, if there is a work that belongs to the “recommended progress class”, the class is selected. If it does not exist, the priority addition processing 53 is performed only for the work belonging to the “determination pending class”, and the processing waiting file 54 is rearranged in the descending order of priority and generated.
[0029]
  Further, since the processing priority addition processing is not performed for the “progress stop class”, even if such a work is included, it is excluded from the calculation processing target. When there is only a work belonging to the “progress stop class”, the manufacturing apparatus does not perform the next processing. Further, the second step 12 for stratifying all the works in the production line into three classes instructs the distribution control command generation processing time point to be started at an interval longer than the real-time event generation interval. Since it is managed by the first step 11, the data processing amount can be reduced from several tenths to several hundredths compared with the case where prioritization work is performed every time an event occurs. It becomes.
  Any method may be adopted as the processing priority order rule added in each class, and a conventional rule such as FIFO may be adopted.
[0030]
  Next, the operation of the fourth step 14 will be described with reference to FIG. FIG. 6 is an explanatory diagram showing the operation of the fourth step 14 for instructing a machining instruction.
  For each manufacturing apparatus, the final command of the workpiece to be processed next is the third step in which class A is given priority over class B, and processing priority is calculated and added for each class. This is performed via the fourth step 14 for instructing a processing instruction based on the order written in the processing-waiting file 54 (order with the highest priority) added by 13.
[0031]
Embodiment 2. FIG.
  FIG. 7 is a block diagram showing the configuration of the physical distribution control apparatus according to Embodiment 2 of the present invention, and the physical distribution control method described in Embodiment 1 can be realized by the apparatus of FIG.
  In a production system in which an apparatus controller 72 that controls the manufacturing apparatus 71 and a host computer 73 that manages production standard information are connected by a LAN 74, a physical distribution control computer 75 is connected to the LAN 74. The distribution control computer 75 includes a timing controller 76 that manages the instruction generation processing point of distribution control and issues a command, an arithmetic device 77, and a storage device 78. The arithmetic device 77 has a classify module 79 for stratifying workpieces and a dispatching module 80 for adding processing priority to the workpieces.
[0032]
  Next, the operation will be described. The same operations as those in the first to fourth steps described in the first embodiment are performed. When an instruction generation processing point instruction, that is, a timing instruction is issued from the timing controller 76 to the arithmetic unit 75, the class phi module 79 performs a work in the production line as shown in the second step of the first embodiment. Are classified into three classes: a progress recommendation class, a progress stop class, and a judgment suspension class. Next, the dispatching module 80 calculates and adds the processing priority of the work within each class for each class. Then, the result is sent to the storage device 78 and written in the processing waiting file 54 in descending order of processing priority. The data in the processing waiting file 54 is transmitted to the host computer 73 and the device controller 72 via the LAN 74, and processing commands are commanded from the device controller 72 to each manufacturing device 71 according to the processing priority.
[0033]
Embodiment 3 FIG.
  This embodiment has been made to achieve (Problem 2) among the above-mentioned problems, and FIG. 8 is a functional block diagram showing a physical distribution control method according to Embodiment 3 of the present invention. As shown in FIG. 8, based on the production target quantity information 81, the production system status information 82, and the production standard information 83, the work target follow-up degree calculated from the work target follow-up recommendation determining means 84, and the work supply recommendation degree The work progress desirability index information derived by the work progress recommendation degree comprehensive judgment means 86 is calculated using both of the work supply levels of the apparatus calculated from the judgment means 85 as input information.
  Details of the above will be described with reference to FIGS.
[0034]
  FIG. 9 is an example of production target quantity information. Production target quantities for each process of varieties to be produced as production line targets are listed by date.
  FIG. 10 is an example of production system status information. This is information that represents the current situation of the production line, including changes over time, and includes data that indicates the point in time for collecting information such as the date and time of the month. For example, the in-process quantity information 101 lists in-process quantities for each product type / process at a certain point in the production line. The production performance information 102 lists the production performance, that is, the processing performance quantity for each product type / process at a certain point in the manufacturing line. The apparatus operation information 103 lists the operation state of the apparatus at a certain point in the manufacturing line. The work information 104 lists in-process processes for each work at a certain point in the production line.
  FIG. 11 is an example of production standard information. It is information that is the basis for production that does not change with time. For example, the manufacturing procedure information 111 is information relating to a process procedure required for completing a product for each product type, and includes information including the order of process processing and the processing time required for each operation. The processable apparatus information 112 is information on a manufacturing apparatus that can be processed for each type and process. Manufacturing capability information 113 is capability information of each manufacturing apparatus.
[0035]
  FIG. 12 is an explanatory diagram of an operation example of the workpiece target follow-up recommendation degree determination means 84 shown in FIG.
  Using the production target quantity information 81 and the production performance information 102 as input information, a production target achievement degree table 122 is generated via the type / process target achievement degree calculation unit 121. The achievement level that is an item in the production target achievement level table 122 is, for example,
                (Achievement) = (Production results) ÷ (Production target quantity)
As such, it is calculated for each product type / process. It is judged that it is desirable to preferentially perform the processing for the process with a lower degree of achievement.
  Then, referring to the achievement level of the production target achievement degree table 122 for the current work in progress process of each work described in the work information 104, the value is set as the target follow-up recommendation degree. The work information 124 with the target follow-up recommendation degree can be generated via the target follow-up recommendation degree calculation unit 123 for each work.
[0036]
  Next, FIG. 13 is an explanatory diagram of an operation example of the work supply recommendation level determination means 85 shown in FIG.
  The planned use device list table 132 is created via the planned use device list table creation unit 131 using the work information 104, the manufacturing procedure information 111, and the processable device information 112 shown in FIGS. 10 and 11 as input information. This scheduled use device list table 132 is list information of manufacturing devices that will be used in the future starting from the current work-in-process for each workpiece.
  Also, the device capability consumption list table 134 is created via the device capability consumption list table creation unit 133 using the production performance information 102 and the production capability information 113 shown in FIGS. 10 and 11 as input information. This apparatus capability consumption list table 134 is a ratio information of production performance to date with respect to the manufacturing capacity per day held for each manufacturing apparatus, that is, list information of capacity consumption. This consumption is, for example,
                  (Consumption) = (Production results) / (Manufacturing capacity)
In this way, this is calculated for each manufacturing apparatus. It is determined that it is desirable to perform processing preferentially for a manufacturing apparatus with a lower consumption level.
[0037]
  Then, the scheduled use device consumption capability list information 135 for each work is synthesized from the planned use device list table 132 and the device capability consumption list table 134. This work-by-work scheduled device consumption capability list information 135 is a list of capability consumption levels of the manufacturing devices that will be used in the future starting from the current work-in-process for each workpiece, and manufacturing with the least consumption capability for each workpiece. The apparatus is a bottleneck apparatus, and this minimum value is maintained. For example, for the work having the lot number 001, 33% of the apparatus A which is the minimum value among the apparatuses A and B is held.
  The workpiece information with workpiece supply recommendation 136 holds the capability consumption level in the bottleneck device as the workpiece supply recommendation. However, the bottleneck or bottleneck device referred to in this specification includes not only the case where the equipment capacity is small and the work is crowded, but also the case where the equipment capacity is not utilized due to the small number of workpieces supplied as described above. It means a point that needs to be managed with particular emphasis in the process flow.
[0038]
  Next, FIG. 14 is an explanatory diagram of an operation example of the work progress recommendation degree comprehensive determination means 86 shown in FIG.
  Using the work information with target follow-up recommendation 124 and the work information with work supply recommendation 136 shown in FIGS. 12 and 13 as input information, the work progress recommendation degree comprehensive determination unit 141 generates work information with work progress recommendation degree 142. To do.
  The work progress recommendation level is based on two different value reference values: the target follow-up recommendation level added from the viewpoint of achieving the target of each process and the work supply recommendation level added from the viewpoint of capacity consumption of the manufacturing equipment. As long as it is the recommended degree of progress for each workpiece,
(Work progress recommendation degree) = (1-Target follow recommendation degree) × (1-Work supply recommendation degree)
It can also be calculated as follows.
  This progress recommendation degree information can be used for determining a processing priority in descending order and instructing a processing instruction as index information indicating the desirability of progress of each work in the distribution control.
[0039]
Embodiment 4 FIG.
  FIG. 15 is a block diagram showing the configuration of the physical distribution control apparatus according to Embodiment 4 of the present invention, and the physical distribution control method shown in Embodiment 3 can be realized by the apparatus of FIG.
  In the figure, reference numeral 151 denotes a physical distribution control computer system, which is a target follow-up recommendation degree calculation CPU 155a, a work supply recommendation degree CPU 155b, a work progress recommendation degree comprehensive judgment CPU 155c, and first and second as first to third arithmetic devices. It has first and second RAMs 156a and 156b as storage devices. Reference numerals 152a, 152b, and 152c denote schedule planning computers, device controllers, and host computers that manage production target quantity information, production system status information, and production standard information, respectively, and the distribution control computer system 151 via the interfaces 153a to 153c, respectively. Are connected to the internal storage devices 154a to 154c.
[0040]
  Next, the operation will be described. The third embodiment is based on information stored in the storage devices 154a to 154c from the schedule planning computer 152a, the device controller 152b, and the host computer 152c, that is, production target quantity information, production system status information, and production standard information. As shown, the target follow-up recommendation degree calculation CPU 155a determines the target follow-up recommendation degree that is the desirability of progress according to the degree of follow-up of each workpiece to the production target, and the result is temporarily stored in the first RAM 156a. In addition, the work supply recommendation degree calculation CPU 155b determines the work supply recommendation degree that is the desirability of supplying the work to the manufacturing apparatus according to the bottleneck degree of each manufacturing apparatus, and the result is stored in the second RAM 156b. Hold temporarily. These determination processes can be performed in parallel to save computation time.
[0041]
  Based on the target follow-up recommendation degree and the work supply recommendation degree temporarily held in the first and second RAMs 156a and 156b, as shown in the third embodiment, the work progress recommendation degree comprehensive determination CPU 155c The work progress recommendation degree for determining the work processing priority order of the work is comprehensively determined, and the result is held in the storage device 154d. The data is sent out of the physical distribution control computer system 151 via the interface 153d, for example, to the device controller 152b.
[0042]
Embodiment 5. FIG.
  What has been exemplified as the first embodiment and the second embodiment is a technique related to a circulation type manufacturing process distribution control method and apparatus for solving (Problem 1), and the capacity balance between the manufacturing apparatuses in the line is relatively If the production line is uniform and hardly changes in the bottleneck, it is sufficiently effective without considering the control of pouring the work into the bottleneck device.
  In addition, what is exemplified as Embodiment 3 and Embodiment 4 is a technique related to a circulation-type manufacturing process distribution control method and apparatus for solving (Problem 2), and the number of work pieces in the production line is relatively small. In the case of a small number, even if the processing priority addition calculation is sequentially performed in real time, it is not necessary to consider the calculation time so much, and it is sufficiently effective.
  However, in a production line with many recirculating manufacturing processes that exist in reality, there are hundreds to thousands of workpieces in the production line, and additional calculation of processing priority to be added to each workpiece It is difficult to ignore time, and bottleneck devices also vary and exist. This embodiment is a method for solving both (Problem 1) and (Problem 2) at the same time. As shown in FIG. 16, the circulation type manufacturing process physical distribution control method and the embodiment described in the first embodiment are used. The circulation type manufacturing process physical distribution control method described in 3 is used in combination.
  It should be noted that a description of the same points as in the first or third embodiment will be omitted.
[0043]
  FIG. 16 is a functional block diagram illustrating a physical distribution control method according to the fifth embodiment. In the figure, 11, 13, and 14 are the same as those in FIG. 161 corresponds to the second step 12 of FIG.Production lineThis is a step of stratifying all the workpieces into three classes, the contents of which are basically the same as those shown in FIG. 8, and the details will be described with reference to FIG.
[0044]
  FIG. 17 is an explanatory diagram showing the operation of step 161 for stratifying the workpiece of FIG. First, with respect to the operation of the target follow-up recommendation level judgment means 84 in FIG. 16, the target follow-up class is determined for each work based on the target follow-up recommendation degree in the work information 124 with the target follow-up recommendation level obtained as shown in FIG. Is added. For example, when the target follow-up recommendation degree is 100% or more, it is class C, when it is 20% or less, it is class A, and otherwise it is class B. This result is held in the work information 171 with a target tracking class.
  Further, regarding the operation of the work supply recommendation level determination means 85, a work supply class is added for each work based on the work supply recommendation level in the work information with work supply recommendation level 136 obtained as shown in FIG. To do. For example, when the recommended work supply is 100% or more, it is class C, when it is 40% or less, it is class A, and otherwise it is class B. The result is held in the work information 172 with work supply class.
  As for the operation of the workpiece progress degree comprehensive determination means 86, a recommended progress class is determined using the workpiece progress recommendation class determination matrix 173 from the workpiece information 171 with target tracking class and the workpiece information 172 with workpiece supply class. The result is held in the work information with class 174. This class-equipped work information 174 can be used in the same manner as the class-equipped work information 41 in FIG. 4, and both (Problem 1) and (Problem 2) can be solved simultaneously.
[0045]
Embodiment 6 FIG.
  FIG. 18 is a functional block diagram illustrating a physical distribution control method according to the sixth embodiment. In this embodiment, in order to efficiently calculate the processing instruction, in the method of Embodiment 3 or Embodiment 5, the production target quantity upper value 181 and the production target quantity upper value 181 are added to the production target quantity information 81 as shown in FIG. Also, two types of lower production target quantity lower values 182 are provided.
  FIG. 19 is an explanatory diagram showing the operation in the sixth embodiment. In calculating the target follow-up recommendation, the method using the target achievement level calculation unit 121 for each product type / process in FIG. 12 must calculate the target achievement level for each product type / process. Is done. Therefore, an upper value and a lower value are set in advance in the production target quantity information and used as production target quantity information (with upper and lower values) 191.
[0046]
  This method uses the production target quantity information (with upper and lower values) 191, the production performance information 102, and the work information 104 as input information, and the work information 171 with class directly through the work recommended progress class / stratification unit 192. Is a method of generating In other words, the progress recommended class for each work / stratification unit 192 determines the difference between the production target quantity upper value and the production result for each type and process, that is, the upper value remaining number, and the difference between the production target quantity lower value and the production result, that is, the lower value. The class A is added to the work for the lower value remaining number, and the class C is added to the work that exceeds the upper value remaining number, with respect to the work that is being processed in the previous process from the remaining number, Class B is added to the work in between. For example, in product type A and process N, upper value remaining number = 16−8 = 8 and lower value remaining number = 12−8 = 4. Therefore, 4 works close to process N are class A, 5 to 8 works. Class B and the 9th work and above are stratified as class C.
[0047]
Embodiment 7 FIG.
  This embodiment is provided with means for calculating production target quantity information 81 as shown in FIG. 20 in the method of the embodiment 6 in order to calculate the processing instruction with high accuracy.
  FIG. 20 is a functional block diagram showing the physical distribution control method according to the seventh embodiment. Based on the reference processing amount information 201 and the reference work period information 202, the reference in-process quantity calculation unit 203 calculates the reference in-process quantity information 204, Together with this, the production system status information 82 and the production standard information 83, the production target quantity calculation means 205 calculates the production target quantity information 81. The subsequent steps are the same as in the sixth embodiment. Details up to the calculation of the production target quantity information 81 will be described with reference to FIGS.
[0048]
  FIG. 21 shows an example of the reference work period information 202. For each product type, a time that is a target standard required from the time of input to the first process of the process to the completion time of the final process of the process is listed according to the manufacturing procedure. For example, the process 4 of the product type A is described to be processed on the second day after the process is input.
  FIG. 22 is an explanatory diagram for the reference processing amount information 201. The reference processing amount information 201 is quantity information set for each kind / process desired to be produced per day. For example, when the input record information 221 for the process of the product type A is given in the same manner as the standard work period information 202 of the product type A, the input results of the process 3 to the process 5 on the 2nd day of the standard work schedule are input on the date one day ago. The standard is to perform the processing of a certain quantity. That is, if the current day is x month 3, the input result of x month 2, that is, 4 lots becomes the reference processing amount.
[0049]
  FIG. 23 is an explanatory diagram showing the operation of the production quantity information calculation means using the reference work period and the reference processing amount.
  A reference work quantity 204 is calculated from the reference work period information 202 and the reference processing amount information 201 via the reference work quantity calculation means 203. This standard work-in-process quantity 204 is calculated based on the idea that, in order for the production quantity of the next day to achieve the standard processing amount, the quantity is charged in advance within the same standard work period at the end of the day. For example, the in-process quantity in steps 3 to 5 belonging to the process section (1) on the second day of the reference work period in FIG. 23 is equal to the reference processing amount on the next day, and the process section ( 6 lots equal to the standard processing amount of 2).
  Then, the production target quantity information 81 is calculated via the production target quantity calculation means 205 using the reference in-process quantity 204, the in-process quantity information 101, and the production capability information 113 as input information. The production target quantity for each process on the day is planned so as to secure the standard work-in-process quantity within the same standard work period section after processing the standard process quantity. For example,
    (Production target quantity) = (Standard work in process)-(Current work in process) + (Standard process)
The production target quantity calculated as is the minimum production quantity necessary to establish both the standard work period and the standard processing quantity, and is therefore equal to the “production target quantity lower value”. However, when a quantity that exceeds the production capacity of the production apparatus is calculated, the “production target quantity upper value” is set with the production apparatus capacity value as the upper limit.
[0050]
Embodiment 8 FIG.
  In this embodiment, in order to accurately calculate a processing instruction, a plurality of reference work schedules are set for the same product in the reference work schedule information 241 as shown in the functional block diagram of FIG. According to this, these standard work schedules are used properly. Others are the same as in the case of the seventh embodiment, and a description thereof will be omitted. FIG. 25 is an explanatory diagram of the reference work schedule information. The standard work schedule is the standard value of the time required from the time when the process starts to the end of the process. The figure shows the standard work schedule as the standard work schedule, which is set when the progress is urgent. It is illustrated that two types of normal work schedules set when the progress speed is acceptable are maintained. The express construction period is set so that the manufacturing procedure proceeds in less days than the standard construction period. Since the work period information is set finely in this way, it is possible to provide a highly accurate instruction for the processing instruction.
[0051]
Embodiment 9 FIG.
  In this embodiment, in order to calculate the machining instruction with high accuracy, in the third embodiment or the fifth to eighth embodiments, as shown in the functional block diagram of FIG. A load status measuring unit 261 that measures the load status, a congestion status measuring unit 262 that measures the congestion status due to work waiting for the manufacturing apparatus, and an apparatus bottleneck degree measuring unit 263 that measures the bottleneck degree of the manufacturing apparatus therefrom. As a result, a work supply recommended class adding unit 264 for adding a work supply recommended class to each work is provided. Details thereof will be described with reference to FIGS. The rest of the configuration is the same as that of the above embodiment, and a description thereof will be omitted.
[0052]
  FIG. 27 is an explanatory diagram illustrating an operation example of the load state measurement unit 261 in FIG.
  The production target remaining number calculation 271 is performed using the production target quantity information 81 and the production result information 102 as input information. The remaining production target for each product type / process is
            (Remaining production target) = (Production target quantity)-(Production results)
The calculation result is written in the production target remaining number information 272.
  Subsequently, the production target remaining number total 273 for each manufacturing apparatus is calculated from the processable apparatus information 112 and the production target remaining number information 272, and the apparatus load remaining number information 274 is generated using the result as the apparatus load remaining number. The remaining device load is the result of load accumulation on a manufacturing device that can use the remaining target production for each product type / process.
[0053]
  On the other hand, based on the manufacturing capability information 113 and the remaining operation time 275 up to the current day, remaining capability calculation 276 is performed for the remaining operation time for each manufacturing apparatus. The remaining equipment capacity
    (Remaining equipment capacity) = (Production capacity per day) x (Remaining operation time ÷ 24 hours)
For example, when the current time is 2:00 pm, the remaining operation time is 10 hours, and the manufacturing capacity per day of the apparatus A is 21 hours, the remaining apparatus capacity is 21 × (10 ÷ 24) = 8.75≈9
Is calculated. This device capacity remaining is written in the device capacity remaining information 277.
  Then, the device load class information 278 is generated by adding the device load class for each manufacturing device based on the device load remaining number information 274 and the device capacity remaining information 277.
  For example, the device load class is added by adding class C if the remaining load time + 4 ≦ remaining capacity, adding class A if remaining load ≧ remaining capacity, and adding class B otherwise. In other words, it is necessary to preferentially supply workpieces in order to perform more work in manufacturing devices that have less time (remaining capacity) compared to the amount of work (remaining load time) that must be processed. is there.
[0054]
  Next, FIG. 28 is an explanatory diagram illustrating an operation example of the congestion state measurement unit 262 of FIG. Using the production target remaining number information 101 and the processable apparatus information 112 as input information, the in-process quantity is totaled for each manufacturing apparatus. This total result is the number of work-in-process workpieces that can be processed immediately for each manufacturing apparatus, and so to speak, represents the congestion status of each apparatus. For example, since the in-process quantity of the product A process 1 is 4 and the manufacturing apparatus that can be processed is the apparatus A, the congestion time of the apparatus A is calculated as in-process quantity per apparatus × processing time, that is, 4 × 2 = 8 hours. . This result is recorded in the device congestion time information 282.
  Then, a device congestion class is added to each manufacturing device from the device congestion time information 282 to generate device congestion class information 283.
  For example, the device congestion class is added by adding class C if the congestion time ≧ 12 hours, adding class A if the congestion time ≦ 4 hours, and adding class B otherwise. In other words, in a state where a larger number of workpieces are collected in front of the manufacturing apparatus, even if more workpieces are supplied to the manufacturing apparatus, more traffic congestion occurs, so it is necessary to stop the supply of the workpieces. is there.
[0055]
  FIG. 29 is an explanatory diagram showing an operation example of the apparatus bottleneck degree measuring unit 263 of FIG.
  The apparatus bottleneck class information 292 is generated using the apparatus bottleneck class matrix 291 using the apparatus load class information 278 and the apparatus congestion class 283 as input information.
  The equipment bottleneck class information is a classification of the bottleneck degree of the production equipment that is considered from both the amount of work (load situation) that the production equipment must handle and the degree of congestion due to work in progress (congestion situation). is there. For example, since the device load class is B and the device congestion class is B for the device A, the bottleneck class is B from the device bottleneck class matrix 291.
[0056]
  FIG. 30 shows an operation example of the work supply recommended class adding unit 264 of FIG.
  The apparatus bottleneck class information 292 and the scheduled use apparatus list table 132 shown in FIG. 13 are combined to generate the scheduled use apparatus bottleneck class list information 301 for each work. Based on this work-by-work scheduled use device bottleneck class list information 301, a work supply class is added to each work to generate work information 172 with work supply class. The work supply class addition method for each work is as follows. If there is A in the bottleneck class of the use scheduled apparatus for each work in the work use scheduled apparatus bottleneck class list information 301, A, A is not present, and B is present. B and C are added to the rest.
  The work supply recommendation degree is increased in the order of the work supply classes A, B, and C obtained as described above, and the work is preferentially supplied to the apparatus.
[0057]
【The invention's effect】
  Claim 1According to the circulation type manufacturing process physical distribution control method according to the above, to the manufacturing apparatus corresponding to the target follow-up recommendation degree that is the desirability of progress according to the degree of follow-up to the production target of each work and the bottleneck degree of each manufacturing apparatus Based on the work supply recommendation level, which is the desired level of work supply, the work progress recommendation level for determining the processing priorityAccording to the following (Formula 1)Since the determination is made, it is possible to stabilize the work period and maintain a high production volume with a precise processing instruction.
(Work progress recommendation degree) = (1-target follow recommendation degree) × (1-work supply recommendation degree) (Equation 1)
[0058]
  According to the circulation type manufacturing process distribution control method according to claim 2, in the distribution control method of the manufacturing line having the circulation type manufacturing process, the production target quantity information and the current production system status for the work in the manufacturing line. Based on the information and the production standard information, a target follow-up recommendation degree, which is a desirability of progress according to the degree of follow-up to the production target of each workpiece, is determined, and the manufacturing apparatus according to the bottleneck degree of each manufacturing apparatus is determined. It is a work recommendation group that determines the work supply recommendation level, which is the desirability of workpiece supply, and a work group for which machining processing is desirable based on the target follow-up recommendation level, and a work group for which machining processing is not desirable The work information with three target tracking classes of the progress stop class and the judgment suspension class, which is a work group that cannot be judged either of them, and the above-mentioned work supply recommendation Three work supply classes: a work supply recommendation class that is a work group for which work supply is desirable based on the degree, a work supply stop class that is a work group for which work supply is not desirable, and a judgment pending class that is a work group that cannot be determined either Since the work progress recommendation degree for determining the processing priority of each class is determined based on the matrix of the work information with the target tracking class and the work information with the work supply class, Sorting according to the degree of recommendation is unnecessary, and the calculation speed is improved.
[0059]
  Claim 3According to the circulation type manufacturing process distribution control method according toClaim 1 or claim 2In this method, since the production target quantity upper value and the production target quantity lower value are provided, it is possible to efficiently instruct a processing instruction.
[0060]
  Claim 4According to the circulation type manufacturing process distribution control method according to the above, the production target quantity upper value and the lower value are calculated from the reference in-process quantity information calculated based on the reference processing amount information and the reference work period information. It is required with high accuracy.
[0061]
  Claim 5According to the circulation type manufacturing process physical distribution control method according to the above, since the reference work period information has a plurality of reference work periods for the same product type, it is possible to instruct an accurate processing instruction.
[0062]
  Claim 6According to the circulation type manufacturing process physical distribution control method according to the above, since the apparatus load situation and the apparatus congestion situation are measured, and the work supply recommendation degree is determined based on the bottleneck degree of the production apparatus obtained from these, accurate processing Commands can be commanded.
[0063]
  Claim 7According to the circulation type manufacturing process logistics control device according toA schedule planning computer that manages production target quantity information, an apparatus controller that manages production system status information, a host computer that manages production standard information, and a logistics control computer system, and this logistics control computer system includes a scheduling computer and apparatus A first target follow-up recommendation degree which is a desirability of progress corresponding to the degree of follow-up of each workpiece to the production target is determined based on the production target quantity information, production system status information and production standard information from the controller and the host computer. Arithmetic device and the manufacturing equipment according to the bottleneck degree of each manufacturing equipment Determining by the second arithmetic unit for determining the work supply recommendation level, which is the desirability of workpiece supply, the first storage unit for storing the target follow-up recommendation level determined by the first arithmetic unit, and the second arithmetic unit In order to determine the processing priority for each workpiece based on the second storage device that stores the recommended workpiece supply recommendation, and the target follow-up recommendation and the workpiece supply recommendation stored in the first and second storage devices. Since it has the 3rd arithmetic unit which determines the work progress recommendation degree of following by (Formula 2),It is possible to efficiently instruct a processing instruction even for a large number of workpieces. .
(Work progress recommendation degree) = (1-Target follow recommendation degree) × (1-Work supply recommendation degree) (Equation 2)
[0064]
  According to the circulation type manufacturing process distribution control apparatus according to claim 8, in the distribution control apparatus of the production line having the circulation type manufacturing process, the schedule planning computer for managing the production target quantity information, and the apparatus controller for managing the production system status information , A host computer for managing production standard information, and a distribution control computer system, the distribution control computer system comprising production schedule quantity information, production system status information and production standard information from the schedule planning computer, device controller and host computer. Based on the first arithmetic unit for determining the target follow-up recommendation degree, which is the desirability of progress according to the degree of follow-up to the production target of each workpiece, and the manufacturing apparatus according to the bottleneck degree of each manufacturing apparatus Determine the work supply recommendation level, which is the desirability of work supply. A second storage device that stores the target follow-up recommendation degree determined by the first operation device, and a second storage device that stores the work supply recommendation degree determined by the second operation device. Based on the storage device, the target follow-up recommendation degree and the work supply recommendation degree stored in the first and second storage devices, a progress recommendation class that is a work group in which it is desirable to perform the machining process, and the machining process are performed. Work stoppage, which is a work group that is not desirable, and work information with three target tracking classes and a work supply recommendation class, which is a work group for which work supply is desirable, Three work supply classes: a work supply stop class, which is a work group for which supply is not desired, and a judgment pending class, which is a work group that cannot be determined either A third operation for creating work information and determining a work progress recommendation degree for determining a processing priority of each class based on a matrix of the work information with the target following class and the work information with the work supply class Therefore, rearrangement according to the recommended degree of progress is unnecessary, and the calculation speed is improved.
[Brief description of the drawings]
FIG. 1 is a functional block diagram showing a physical distribution control method according to Embodiment 1 of the present invention.
FIG. 2 is an explanatory diagram of a first step in the first embodiment of the present invention.
FIG. 3 is an explanatory diagram of a command time interval setting method according to Embodiment 1 of the present invention;
FIG. 4 is an explanatory diagram of a second step in the first embodiment of the present invention.
FIG. 5 is an explanatory diagram of a third step in the first embodiment of the present invention.
FIG. 6 is an explanatory diagram of a fourth step in the first embodiment of the present invention.
FIG. 7 is an explanatory diagram of a configuration of a physical distribution control apparatus according to Embodiment 2 of the present invention.
FIG. 8 is a functional block diagram showing a physical distribution control method according to Embodiment 3 of the present invention.
FIG. 9 is an explanatory diagram of production target quantity information according to Embodiment 3 of the present invention.
FIG. 10 is an explanatory diagram of production system status information according to Embodiment 3 of the present invention.
FIG. 11 is an explanatory diagram of production standard information according to Embodiment 3 of the present invention.
FIG. 12 is an explanatory diagram of the operation of a target follow-up recommendation degree determination unit according to Embodiment 3 of the present invention.
FIG. 13 is an explanatory diagram of an operation of a workpiece supply recommendation degree determination unit according to Embodiment 3 of the present invention.
FIG. 14 is an explanatory diagram of the operation of a work progress degree comprehensive determination means in Embodiment 3 of the present invention.
FIG. 15 is an explanatory diagram of a configuration of a physical distribution control apparatus according to Embodiment 4 of the present invention.
FIG. 16 is a functional block diagram showing a physical distribution control method according to Embodiment 5 of the present invention.
FIG. 17 is an explanatory diagram of an operation of a step of stratifying workpieces in the fifth embodiment of the present invention.
FIG. 18 is a functional block diagram showing a physical distribution control method according to Embodiment 6 of the present invention.
FIG. 19 is a diagram for explaining an operation in the sixth embodiment of the present invention.
FIG. 20 is a functional block diagram showing a physical distribution control method according to Embodiment 7 of the present invention.
FIG. 21 is an explanatory diagram of reference work period information according to the seventh embodiment of the present invention.
FIG. 22 is an explanatory diagram of reference processing amount information according to the seventh embodiment of the present invention.
FIG. 23 is an explanatory diagram of the operation of the production target quantity calculation means in the seventh embodiment of the present invention.
FIG. 24 is a functional block diagram showing a physical distribution control method according to Embodiment 8 of the present invention.
FIG. 25 is an explanatory diagram of reference work period information according to the eighth embodiment of the present invention.
FIG. 26 is a functional block diagram showing a physical distribution control method according to Embodiment 9 of the present invention.
FIG. 27 is an explanatory diagram of the operation of the load situation measuring unit according to Embodiment 9 of the present invention.
FIG. 28 is an explanatory diagram of the operation of the congestion status measurement unit according to the ninth embodiment of the present invention.
FIG. 29 is an explanatory diagram of the operation of the device bottleneck degree measuring unit according to Embodiment 9 of the present invention.
FIG. 30 is an explanatory diagram of the operation of the work supply recommendation class adding unit according to the ninth embodiment of the present invention.
FIG. 31 is a block diagram showing an embodiment of a circulation type manufacturing flow.
FIG. 32 is a diagram for explaining that a plurality of workpieces that are not related to the loading order are set in the same manufacturing apparatus.
FIG. 33 is a diagram for explaining a load variation of the manufacturing apparatus.
FIG. 34 is an explanatory diagram showing a conventional physical distribution control method.
FIG. 35 is an explanatory diagram showing a conventional physical distribution control method.
FIG. 36 is a flowchart showing a conventional physical distribution control method.
FIG. 37 is an explanatory diagram showing a conventional physical distribution control method.
[Explanation of symbols]
  11 1st step, 12 2nd step, 13 3rd step,
14 Fourth step, 151 Logistics control computer system.

Claims (8)

In the logistics control method of a production line with a recirculating manufacturing process, to the production target of each workpiece based on the production target quantity information, current production system status information, and production standard information for the workpieces in the production line Determining the target follow-up recommendation degree, which is the progress desirability according to the degree of follow-up, and determining the work supply recommendation degree, which is the desirability of supplying work to the manufacturing apparatus according to the bottleneck degree of each manufacturing apparatus, A circulation type manufacturing process physical distribution control method characterized in that a work progress recommendation degree for determining a processing priority of each work is determined by the following (Equation 1) based on the target follow-up recommendation degree and the work supply recommendation degree. .
(Work progress recommendation degree) = (1-Target follow recommendation degree) × (1-Work supply recommendation degree) (Equation 1) In the logistics control method of a production line with a recirculating manufacturing process, to the production target of each workpiece based on the production target quantity information, current production system status information, and production standard information for the workpieces in the production line To determine the target follow-up recommendation degree that is the desirability of progress according to the following degree of follow-up, to determine the work supply recommendation degree that is the desirability of supplying the work to the manufacturing apparatus according to the bottleneck degree of each manufacturing apparatus, Progress recommendation class, which is a work group for which machining processing is desirable based on the target follow-up recommendation level, progress stop class, which is a work group for which machining processing is not desirable, and judgment pending, which is a work group for which neither can be judged Based on the work information with three target tracking classes of the class and the above work supply recommendation degree, work supply is a work group for which work supply is desirable. Create work information with three work supply classes: a recommended class, a work supply stop class that is a work group for which work supply is not desirable, and a judgment pending class that is a work group that cannot be determined by either, A circulation type manufacturing process physical distribution control method for determining a work progress recommendation degree for determining a processing priority of each class based on a matrix of information and the work information with work supply class . The production target quantity information includes a production target quantity upper value and a production target quantity lower value that is smaller than the production target quantity upper value. The production result included in the production system status information and the above production target quantity upper value 3. The circulation type manufacturing process physical distribution control method according to claim 1, wherein the target follow-up recommendation degree is determined by comparing the value and the lower value . Based on the standard throughput information set for each product type / process and the standard work period information set for each product type, the standard work in progress quantity information is calculated, and this standard work in progress quantity information, current production system status information, and production standard information. 4. The circulation type manufacturing process physical distribution control method according to claim 3, wherein an upper production target quantity value and a lower production target quantity lower value are calculated for each kind and process . 5. The circulation type manufacturing process physical distribution control method according to claim 4, wherein the reference work period information has a plurality of reference work periods for the same product type, and uses the plurality of reference work periods in accordance with a desired progress speed . While measuring the device load status, which is the status of the load given to each manufacturing device, and measuring the device congestion status, which is the processing waiting status of the workpieces in progress in each manufacturing device, the measured device load status information and 2. The bottleneck degree of each manufacturing apparatus is measured based on apparatus congestion status information, and a work supply recommendation degree to the manufacturing apparatus is determined for each work according to the bottleneck degree. Or the circulation type manufacturing process physical-flow control method of Claim 2 . In a distribution control device of a production line having a circulation type manufacturing process, a schedule planning computer for managing production target quantity information, a device controller for managing production system status information, a host computer for managing production standard information, and a distribution control computer system This logistics control computer system is based on the production target quantity information, production system status information, and production standard information from the schedule planning computer, the device controller and the host computer according to the degree of follow-up of each workpiece to the production target. Desired progress A first calculation device that determines a target follow-up recommendation degree that is the likelihood, and a second calculation that determines a workpiece supply recommendation degree that is the desirability of supplying workpieces to the manufacturing apparatus according to the bottleneck degree of each manufacturing apparatus A first storage device that stores the target follow-up recommendation degree determined by the first arithmetic device, a second storage device that stores the work supply recommendation degree determined by the second arithmetic device, and Based on the target follow-up recommendation degree and the work supply recommendation degree stored in the first and second storage devices, the work progress recommendation degree for determining the processing priority of each work is determined by the following (Equation 2). A circulation type manufacturing process physical distribution control device.
(Work progress recommendation degree) = (1-Target follow recommendation degree) × (1-Work supply recommendation degree) (Equation 2) In a distribution control device of a production line having a circulation type manufacturing process, a schedule planning computer for managing production target quantity information, a device controller for managing production system status information, a host computer for managing production standard information, and a distribution control computer system This distribution control computer system is based on the production target quantity information, production system status information, and production standard information from the schedule planning computer, the device controller and the host computer according to the degree of follow-up of each workpiece to the production target. A first computing device that determines the target follow-up recommendation level that is the progress desirability, and a second that determines the work supply recommendation level that is the desirability of supplying the workpiece to the manufacturing device according to the bottleneck degree of each manufacturing device. And the eye determined by the first arithmetic device. A first storage device that stores a follow-up recommendation degree, a second storage device that stores a work supply recommendation degree determined by the second arithmetic device, and targets stored in the first and second storage devices Based on the follow-up recommendation level and the workpiece supply recommendation level, it is not possible to determine either the progress recommendation class, which is a work group for which machining processing is desirable, or the progress stop class, which is a work group for which machining processing is not desirable. The work information with three target tracking classes of the judgment pending class that is a work group and the work supply recommended class that is a work group for which work supply is desirable and the work supply stop class that is a work group for which work supply is not desirable are judged. Create work information with three work supply classes for the judgment pending class that is a work group that cannot be Based on a matrix of the serial work supply classes with work information, recycling manufacturing process stream, characterized in that a third arithmetic unit determines the work progress recommendation degree for determining the processing priority of each class Control device.

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