JP6339935B2 - Work sequence planning device, work sequence planning method, and work sequence planning program - Google Patents

Description

  The present invention relates to a work order planning apparatus, a work order planning method, and a work order planning program.

  A car body such as an automobile is composed of many parts and has many processes such as assembling. As an example of a certain process, an operation of painting a bumper (buffer) is assumed. For example, bumpers of different body types are carried out one by one to the work place. The worker then paints the bumper. In another example, bumpers of different body types are lined up one after another to the workplace. Then, the industrial robot paints the flow with different specifications for each type of vehicle body. At this time, there is a problem in which order the bumpers of a plurality of types of vehicle bodies are carried out or flown to the work place. This is because there is a large difference in work efficiency depending on the work order. In recent years, therefore, it has become a popular practice to plan work orders at production sites using computers.

  Patent Document 1 discloses “a method for determining an unloaded vehicle body for PBS (Painted Body Storage)”. When attention is paid to FIG. 2 of Patent Document 1, one vehicle body is carried out to a trim buffer one by one from one of storage lanes arranged in parallel for each type of vehicle body. At this time, the carrying body determination method plans the carrying out order of what kind of car body to carry out in what order by “Tali calculation”. Details of the Thali calculation will be described later, but here, the main points of the determination method will be described.

  In the method for determining the carry-out vehicle body, (i) the number of each vehicle body type is divided by the total number to obtain the appearance probability for each vehicle body type. For example, there are three types of vehicle bodies (A, B, and C), the appearance probability of A is “0.2”, the appearance probability of B is “0.3”, and the appearance probability of C is “ It is assumed that it is 0.5 ″. (Ii) The carry-out vehicle body determination method sets the initial value common to the three types to “0.0”, and the appearance probabilities “0.2” and “0.3” for the initial value. And “0.5” is added. If it does in this way, in the nth addition, the added value will be computed for every kind of body. This added value is called a “determination value”.

  (Iii) And, for example, when the judgment value of C reaches “1.0” by the n-th addition, C is taken out. When the determination value of the types of a plurality of vehicle bodies reaches “1.0”, the plurality of vehicle bodies are carried out at a time. Furthermore, when the determination value of any vehicle type does not reach “1.0”, the vehicle body to be carried out is “None”. (Iv) When such processing is repeated, a permutation type work order of “(none, C, none, B and C, A,...)” Is obtained. In this example, A is carried out twice, B is carried out three times, and C is carried out five times by the 10th addition, and these ratios coincide with the appearance probability.

Japanese Patent Laid-Open No. 11-348850 (paragraphs 0018 to 20, FIG. 2)

  In an actual site, conditions such as stocking of raw materials necessary for work, working conditions of workers, availability of industrial robots, etc. change on a daily basis. Therefore, the user (factory manager) often has to manually change the work order planned by the thali calculation based on the appearance probability.

For example, suppose that a situation occurs in which the work for C must be performed first after the work for the vehicle type A is postponed. That is, the user wants to change the type of the vehicle body to be carried out “m” times from A to C. To that end, it is considered that the “m” -th determination value of A is decreased by “x”, and instead, the determination value of C is increased by “y”. It is very difficult to make judgments and actual operations intuitively because, if attention is again paid to the above “(none, C, none, B and C, A,...)”, The nth time. There are cases where there is no corresponding type of vehicle body, and there are cases where there are a plurality of types, that is, the n-th time and the type of vehicle body do not correspond one-to-one.
Accordingly, an object of the present invention is to create a work order that is easy to change intuitively by a user.

Work sequence planner of the present invention receives a number of articles for each type of article, based on the number of received goods, to calculate the subtraction value for each type of article, based on the calculated difference value, each article The initial value common to the two is calculated, and as a first process, a determination value that is a result of subtracting the subtraction value from the initial value is calculated for each article type, and the article type with the smallest determination value is determined as a work target. As the next process, the initial value is added to the determination value of the article type determined as the work target in the first process or the immediately preceding next process, and the article other than the determination value after the addition and the article type determined as the work object A determination value that is a result of subtracting the subtraction value from the determination value of each type is calculated for each item type, and the subtraction value is calculated from the determination value after addition and the determination value of the item type other than the item type determined as the work target. Subtracted The control unit repeats the next process a predetermined number of times after the end of the first process, and the determined work object in the order of the first process and the next process. A storage unit that stores the data in association with each other.
Other means will be described in the embodiment for carrying out the invention.

  According to the present invention, it is possible to create a work order that is easy for the user to change intuitively.

It is a figure explaining work content. It is a figure explaining the work schedule in an existing technique. It is a figure explaining the work schedule in this embodiment. It is a figure explaining the other example of work content. (A) is an example of the appearance probability in the existing technology. (B), (c), and (d) are examples of the judgment value transition table in the existing technology. (A) is an example of a subtraction value in the present embodiment. (B) And (c) is an example of the judgment value transition table in this embodiment. It is a figure explaining the structure of a work order planning apparatus. It is a flowchart of a work order creation processing procedure. It is a flowchart of a work order re-creation process procedure.

  Hereinafter, a mode for carrying out the present invention (referred to as “the present embodiment”) will be described in detail with reference to the drawings. This embodiment is an example in which the present invention is applied to an operation of painting a bumper attached to a vehicle body. Of course, the present invention can be applied to other work, and can also be applied to work on an article other than a vehicle body related article.

(Example of work contents)
The work content will be described with reference to FIG. Ten bumpers are temporarily placed in the unpainted space. These bumpers are bumpers that should be painted in one day. There are three types of bumpers: bumper A for vehicle body A (abbreviated as “bar A” in FIG. 1, and other bumpers are the same), bumper B for vehicle body B, and bumper C for vehicle body C.
In work sequence 1, one of the bumpers temporarily placed in the unpainted space is carried out to the work place as a work target. Here, for example, “bumper C” is carried out. Then, a worker (not shown) applies predetermined coating to the bumper C at the work place. The painted bumper is then moved to the painted space.

  As time elapses, in the work sequence 2, one of the bumpers temporarily placed in the unpainted space is carried out to the work place as a work target. Here, for example, “bumper B” is carried out. Then, the worker applies predetermined coating to the bumper B at the work place. The painted bumper is then moved to the painted space. Similarly, further time elapses, and the bumper A is painted in the work order 3 and then the bumper C is painted in the work order 4 in the work place. As a matter of course, the paint specifications differ depending on the type of bumper. Therefore, the work contents such as the skill of the worker working in the workplace, the paint used, the method of painting, the work time, and the like differ for each type of bumper.

  In FIG. 1, a work time of 30 minutes is assigned to bumper A, a work time of 40 minutes is assigned to bumper B, and a work time of 45 minutes is assigned to bumper C. Here, the work time is set longer in order to give priority to easy understanding. In practice, on a state-of-the-art production site, the working time is much shorter than this example.

  FIG. 1 corresponds to the case where a work sequence of (C, B, A, C,...) Is created by Thali calculation. Each of C, B, A, C,... Included in this work order appears to be associated with the addition of the “n-th” occurrence probability. However, that is not the case. As described above, in the Thali calculation, when the determination value of a certain bumper type reaches “1.0” by the n-th addition, the bumper of that type is carried out.

  Conversely, if the determination value of any bumper type does not reach “1.0” by the nth addition, the type of bumper to be carried out is not determined. Further, when the determination value of the plurality of bumper types reaches “1.0” by the n-th addition, two bumper types to be carried out are determined. That is, each component of the work order (C, B, A, C,...) Is not associated one-to-one with the position coordinate number as a result of the “n-th” addition, It is simply a list of the results output as the type of bumper to be carried out in the order of output.

  In some cases, each component of the work order (C, B, A, C,...) Is associated with the “n-th” one-to-one by chance. As is apparent from the above, if the only bumper type to be carried out is determined at the time of adding the nth occurrence probability, each of the work orders (C, B, A, C,...) The components will be associated one-to-one “n times”. However, this result is a coincidence.

  Hereinafter, the calculation result in which “n-th” and “bumper type” correspond one-to-one may be referred to as “ideal type”. In general, Thali calculations ensure that various bumpers disappear from unpainted space almost simultaneously. Furthermore, since the “n-th” and “bumper type” have a one-to-one correspondence, the ideal type also has a feature that the user can easily change the work order (detailed later). It is a feature of the present invention that such an “ideal type” work order can always be determined.

  In the following, first, what is concretely the creation / change of the work order will be described using an example of a “work schedule”. Next, another example of the work contents will be described in order to further clarify the characteristics of the present invention. Thereafter, a process of actually creating / changing the work order by the work order planning apparatus 1 (see FIG. 7 described later) will be described with an example of a “determination value transition table”.

(Work schedule)
The work schedule in the existing technology will be described with reference to FIG. The work schedule table 51 of FIG. 2 shows a work order created by a known Thali calculation. The work process table 51 shows a work schedule for October 30 and is created by, for example, batch processing at night on the previous day. In the work schedule table 51, in association with the work order described in the work order field 52, the work time field 53 describes the work time period, and the work object field 54 describes the type of bumper to be worked. Yes.

  The work schedule 51 corresponds to “(None, C, None, B and C, A,...)” Described above. That is, the work order in the work order column 52 corresponds to “addition of the nth occurrence probability”, and the work target in the work target column 54 is “bumper type” determined to be carried out to the work place. It corresponds. The work time in the work time field 53 describes the work time (start time and end time) only when a work object occurs in the work order.

The work sequence is not ideal as follows.
-In work order 1, 3, and 9, the work object is not described. Therefore, “play time” occurs, and the user needs to set some work target in these work orders. Of course, the work for the bumper in the next work order should be applied to the work order of “play time” ahead of schedule. However, some processing (manual operation) is required for the output result.
In the work orders 4 and 10, a plurality of work objects are described in duplicate. Therefore, when there is no room in the work area, the user needs to select any one work target in these work orders. After all, some processing (manual work) is required for the output result.

Therefore, the user changes the work schedule 51 to the work schedule 61 in the morning of October 30. The changes are as follows.
In the work orders 1, 3, and 9, for example, bumper C, bumper C, and bumper B are described as work targets, respectively.
In the work orders 4 and 10, for example, bumper C and bumper A are selected as the only work objects, respectively.
As a result, an ideal type corresponding to one bumper type for all work orders is completed. And in work order 1-10, the appearance frequency of bumper A, bumper B, and bumper C is 2 times, 3 times, and 5 times, respectively. However, it is actually difficult for the user to change to such an ideal type without trial and error.

After changing to the work schedule table 61, for example, at around 16:30, it is found that “the paint for the bumper A has run out and an emergency order has been placed with the paint manufacturer, but it takes 60 minutes to reach the site”. . Therefore, the user changes the work schedule 61 to the work schedule 71. The changes are as follows.
In work order 8, the work object is changed from Pamper A to Bumper B.
In the work order 9, the work target is changed from Pamper B to Bumper A.

  Next, the work schedule in the present embodiment will be described with reference to FIG. A work schedule table 81 in FIG. 3 shows a work order created by the improved thali calculation of the present embodiment. The work process table 81 indicates a work schedule for October 30 and is created, for example, by batch processing at night on the previous day. In the work schedule table 81, the work order (1, 2,..., 10) in the work order field 52 and the work object (bumper type) in the work object field 54 have a one-to-one correspondence. Therefore, processing such as changing from the work schedule 51 to the work schedule 61 in FIG. 2 is not necessary.

For example, suppose at around 10:30, it becomes clear that “the paint for the bumper A has run out and an emergency order has been placed with the paint manufacturer, but it takes 60 minutes to reach the site”. Therefore, the user changes the work schedule 81 to the work schedule 91. The change point is “change work target from bumper A to bumper C in work order 3”.
Then, the work order planning device 1 changes the work target in the work orders 4 to 10. In the work orders 1 to 10 of the work schedule table 81 and the work schedule table 91, the number of appearances of the bumper A, the bumper B, and the bumper C to be worked are 2, 3, and 5, respectively.

(Other examples of work contents)
Another example of the work content will be described with reference to FIG. This example clarifies the problems of the existing technology and the effects of this embodiment. A plurality of bumpers A (abbreviated as “A” in FIG. 4, the same applies to other bumpers), a plurality of bumpers B, and a plurality of bumpers C are arranged in three rows in an unpainted space. The number of bumpers is arbitrary, but the ratio of the numbers is assumed to be A: B: C = 2: 3: 5. Bumper A, bumper B, or bumper C are carried out one by one from the unpainted space to the knitting yard. The bumpers carried out to the formation yard are arranged in a line like a train in order from the left side.

  A group of bumpers like this train is called "organization". The knitting is grouped into 10 bumpers and conveyed by a belt conveyor to a “painting platform” which is a kind of industrial robot. The left and right length of the painting platform is equal to the knitting length. The knitting stops when the position of the front end (left end) of the knitting is aligned with the position of the left end of the coating platform. In FIG. 4, “knitting” has stopped at the painting platform after leaving the knitting yard. When creating a composition, the work order planning apparatus 1 transmits a composition instruction [C, B, C, A, C, B, C, A, B, C] to the composition yard.

  The coating platform has a structure in which ten plate-like packages P1 to P10 for spraying paint on the bumper overlap in the left-right direction. Each package P1 to P10 has a nozzle A for spraying paint for bumper A, a nozzle B for spraying paint for bumper B, and a nozzle C for spraying paint for bumper C from top to bottom. doing. The position of the left and right method of each package is fixed.

  However, the painting platform slides each package up and down in three stages to adjust any nozzle to the painting level. The left and right positions on the coating platform of the first to tenth bumpers from the left (top) of each knitted train of 10 cars coincide with the left and right positions of the nozzles of the packages P1 to P10, respectively. When a signal is sent to the nozzle at the painting level, the paint corresponding to each bumper is sprayed onto the bumper, and ten bumpers are painted simultaneously.

  When painting the knitting, the work sequence planning apparatus 1 transmits a painting instruction <C, B, C, A, C, B, C, A, B, C> to the painting platform. This painting instruction naturally corresponds to the knitting instruction [C, B, C, A, C, B, C, A, B, C]. As long as the painting platform is functioning normally, it is sufficient for the work sequence planning apparatus 1 to transmit the composition instruction and the painting instruction showing only the permutation of the bumper type as described above.

Now, the work order planning device 1 is configured to perform a knitting instruction [C, C, B, A, C, B, C, A, B, C] and a painting instruction <C, C for the next knitting (not shown). , B, A, C, B, C, A, B, C> have been created (before failure). However, the work sequence planning apparatus 1 has not yet transmitted these instructions to the knitting yard and the painting platform. In this paragraph, it is assumed that the fourth package P4 from the left of the coating platform has failed and nozzle A can no longer spray paint. In order to cope with this situation, the work order planning device 1 changes the composition instruction [C, C, B, B ^♭ , C ^♭ , A ^♭ , C ^♭ , A ^♭ , B ^♭ , C ^♭ ] after the change and the change painting instruction after <C, C, B, B ♭, C ♭, a ♭, C ♭, a ♭, B ♭, C ♭> a, must be transmitted to each knitting yard and coating platform (after a failure) . “♭” on the right shoulder means “after change”. Here, the changed knitting instruction and the changed coating instruction may be any as long as the fourth from the left is other than “A”.

  Therefore, in the existing technology, the user who has to deal with the situation of the failure of the package P4 first looks at the composition instruction before the change and the painting instruction before the change, and first appears from the left (the “fourth” appearance). “A” is not found. Next, in the process in which it is determined that “A” should be carried out, the determination value of “B” is manually increased so that, for example, “B” is carried out instead. If the user correctly locates the fourth "A" from the left, but erroneously finds the eighth "A" from the left, and determines "B" in the process in which it is determined that the "A" should be carried out If the value is increased manually, defective products are generated. That is, the fourth bumper A from the left is not painted at all due to the failure of the nozzle A of the fourth package P4 from the left.

  Such an error is caused by a configuration in which the knitting instruction and the painting instruction are simply arranged in the type of bumper. For example, the paint instruction is <1; C, 2; C, 3; B, 4; A, 5; C, 6; B, 7; C, 8; A, 9; B, 10; If the configuration is such that the type of bumper is associated with the position (coordinate value) from the left of the package in a one-to-one relationship, the user can definitely find “4; A”.

(Work order and processing order)
The term “work order” described so far can be said to be the order seen from the standpoint of an engineer or an industrial robot performing work in the workplace. The worker or the like is not interested in what information processing is performed by the work order creation device 1. Therefore, a new term “processing order” is introduced.

  The processing order is a process in which the work order creation device 1 that executes repetitive processing of addition of an appearance probability to a determination value (existing technology) or subtraction of a subtraction value from the determination value (this embodiment, detailed later) performs information processing. The order from the viewpoint. In short, the processing order is the order in which the number of repeated processes is counted from the beginning. That is, the work order planning apparatus 1 solves the problem by determining one bumper type (work target) in association with one “processing order” and adopting it as the “work order” as it is. The name “work sequence creation device” is adopted from the standpoint of a worker or an industrial robot. “Processing order” and “the order” in the claims correspond to “processing order” here.

(Judgment value transition table)
The appearance probability and determination value transition table in the existing technology will be described with reference to FIG. FIG. 5A stores appearance probabilities in association with bumper types. Assume that there are a total of 10 bumpers that must be completed in a certain work period (for example, one day). The breakdown includes two bumpers A, three bumpers B, and five bumpers C. Then, the appearance probability of the bumper A is 0.2 (= 2/10), the appearance probability of the bumper B is 0.3 (= 3/10), and the appearance probability of the bumper C is 0.5 (= 5/10). )

  FIG. 5B is a determination value transition table 101 created by batch processing, and corresponds to the work schedule table 51 of FIG. On the horizontal axis of the judgment value transition table 101, except for “−1.0” (detailed later) between “n-th” and “n + 1”, the number of appearance probabilities is added (how many times). . In this sense, the horizontal axis represents the “processing order” described above. However, one bumper type does not always correspond to the “processing order”. Therefore, the work schedule 51 and the like need to be changed manually by the user. The vertical axis represents the bumper type and the selection result. The selection result is the type of bumper carried out from the unpainted space to the work place in FIG. A determination value is stored at the intersection of the vertical axis and the horizontal axis.

The work order planning apparatus 1 performs the following processing (see FIG. 5B).
(First time) Appearance probability of each bumper is added to the initial value of each bumper to obtain the determination value of each bumper for the first time. The initial value of each bumper is “0.0”. Therefore, the determination value of the first bumper A is “0.2”, the determination value of the first bumper B is “0.3”, and the determination value of the first bumper C is “0.5”. . None of the three determination values has reached “1.0”. Therefore, the “first time right-1.0” column is skipped and the process proceeds to the second time.

(Second time) The appearance probability of each bumper is added to the determination value of each bumper for the first time to obtain the determination value of each bumper for the second time. Then, the determination value of the second bumper A is “0.4”, the determination value of the second bumper B is “0.6”, and the determination value of the second bumper C is “1.0”. . The determination value of the second bumper C has reached “1.0”. Therefore, the bumper C is selected as a bumper to be carried out. Note that the determination value of the selected bumper is shaded (the same applies hereinafter).

  Further, the process proceeds to the column “−1.0 immediately to the right of the second time”, and the determination value of each bumper is stored in the column. At this time, for the determination value of the bumper C selected at the second time, a value obtained by subtracting “1.0” (sum of the appearance probability of each bumper) from the determination value “1.0” of the second bumper C “ 0.0 ”is stored. For the determination values of bumper A and bumper B that are not selected, the second determination value is stored as it is. Therefore, in the column of “−1.0” immediately to the right of the second time, the determination value of bumper A remains “0.4”, and the determination value of bumper B also remains “0.6”. The determination value of the bumper C is “0.0”.

(Third) The appearance probability of each bumper is added to the determination value of each bumper in the column of “-1.0 immediately to the right of the second time” to obtain the determination value of each bumper for the third time. Then, the judgment value of the third bumper A is “0.6”, the judgment value of the third bumper B is “0.9”, and the judgment value of the third bumper C is “0.5”. . None of the three determination values has reached “1.0”. Therefore, skip the column of “-1.0 right to the third time” and go to the fourth time.

(Fourth) Appearance probability of each bumper is added to the determination value of each bumper for the third time to obtain the determination value of each bumper for the fourth time. Then, the determination value of the fourth bumper A is “0.8”, the determination value of the fourth bumper B is “1.2”, and the determination value of the fourth bumper C is “1.0”. . The determination value of the fourth bumper B and the determination value of the fourth bumper C have reached (exceeded) “1.0”. Therefore, bumper B and bumper C are selected as bumpers to be carried out (overlapping).

  Further, the process proceeds to the “fourth-right-1.0” column, and the determination value of each bumper for the fourth time is stored in the column. At this time, for the determination value of the bumper B selected in the fourth time, a value obtained by subtracting “1.0” (sum of appearance probability of each bumper) from the determination value “1.2” of the fourth bumper B “ Memorize 0.2 ". Similarly, for the determination value of the bumper C selected in the fourth time, a value obtained by subtracting “1.0” (sum of appearance probability of each bumper) from the determination value “1.0” of the fourth bumper C “ 0.0 ”is stored. For the determination value of the bumper A that is not selected, the fourth determination value is stored as it is. Therefore, in the column of “−1.0” on the right side of the fourth time, the determination value of the bumper A remains “0.8”, the determination value of the bumper B becomes “0.2”, and the bumper C The determination value is “0.0”.

(Fifth and subsequent times) Since the fifth and subsequent processing are the same as the processing up to the fourth time, detailed description thereof is omitted. As a result, one (one type) bumper is selected for each of the fifth, sixth, seventh and eighth times. In the 9th time, no bumper is selected. In the tenth time, three (three types) bumpers are selected. By the tenth time, bumper A is selected twice, bumper B is selected three times, and bumper C is selected five times. This result is consistent with the appearance probability.

  FIG. 5C is a determination value transition table 102 obtained by manually changing the determination value transition table 101 (FIG. 5B) created by batch processing. The user sees the judgment value transition table 101 and thinks that the problem is that the bumper is not selected at the first time. The user is going to change (manually input) one of the determination values so that one of the bumpers is selected at the first time. For example, the user manually adds “0.5” to the determination value “0.5” of the first bumper C to obtain “1.0”. The changed bumper judgment value is shaded slightly darker (the dots are finer) (the same applies hereinafter).

  Then, the work order planning apparatus 1 selects the bumper C at the first time. The work order planning apparatus 1 also performs subsequent processing continuously. However, no bumper is selected at the 2nd, 6th and 8th times, and 2 (2 types) bumpers are selected at the 5th, 7th and 10th times. It does not lead to.

  FIG. 5D is a determination value transition table 103 in which the determination value transition table 102 (FIG. 5C) is manually changed. The user views the determination value transition table 102 and thinks that the problem is that the bumper is not selected in the second time. The user is going to change (manually input) one of the determination values so that one of the bumpers is selected in the second time. For example, the user manually adds “0.4” to the determination value “0.6” of the second bumper B to obtain “1.0”. Then, the work order planning device 1 selects the bumper B in the second time. The work order planning apparatus 1 also performs subsequent processing continuously. However, the bumper is not selected at the fourth and eighth times, and two (two types) bumpers are selected at the fifth and ninth times, so that the problem cannot be completely solved.

As is apparent from the above, the existing technology does not always determine the “n-th” for adding the appearance probability and the “bumper type” in a one-to-one correspondence. Due to this, the following problems occur.
-The work schedule (judgment value transition table) created by batch processing often has to be manually changed by the user.
-When the user changes, it is difficult to intuitively understand how many times the judgment value should be increased.
-The user is forced to repeat the change work until reaching the ideal type of one-to-one.

  A subtraction value and determination value transition table in the present embodiment will be described with reference to FIG. FIG. 6A stores the subtraction value in association with the bumper type. As in the example of FIG. 5, there are 10 bumpers in total, of which 2 are bumpers A, 3 are bumpers B, and 5 are bumpers C. Then, the subtraction value of bumper A is 20 (= 2/10 × 100), the subtraction value of bumper B is 30 (= 3/10 × 100), and the subtraction value of bumper C is 50 (= 5/10 × 100). )

  FIG. 6B is a determination value transition table 111 created by batch processing, and corresponds to the work schedule table 81 of FIG. On the horizontal axis of the judgment value transition table 111, the number of subtractions of the subtraction value (how many times) is between “nth” and “n + 1” except “+100” (detailed later). In this sense, the horizontal axis represents the “processing order” described above. In this embodiment, one bumper type always corresponds to one processing order. Then, the processing order matches the “work order”. That is, the processing order matches the “work order” in the work schedule table 81 or the like. The vertical axis represents the bumper type and the selection result. A determination value is stored at the intersection of the vertical axis and the horizontal axis.

The work order planning apparatus 1 performs the following processing (see FIG. 6B).
(First time) The subtraction value of each bumper is subtracted from the initial value of each bumper to obtain the determination value of each bumper for the first time. The initial value of each bumper is “100” (initial value = total of subtraction values of each bumper). Therefore, the determination value of the first bumper A is “80”, the determination value of the first bumper B is “70”, and the determination value of the first bumper C is “50”. The smallest of the three judgment values is “50” of the bumper C. Therefore, the bumper C is selected as a bumper to be carried out.

  Further, the process proceeds to the column “+100 immediately to the right of the first time”, and the determination value of each bumper for the first time is stored in this column. At this time, for the determination value of the bumper C selected at the first time, the initial value “100” (100 = total of subtraction values of each bumper) is added to the determination value “50” of the first bumper C. The value “150” is stored. For the determination values of bumper A and bumper B that are not selected, the first determination value is stored as it is. Therefore, in the “+100” column immediately to the right of the first time, the determination value of bumper A remains “80”, the determination value of bumper B also remains “70”, and the determination value of bumper C is “150”.

(Second time) The subtraction value of each bumper is subtracted from the determination value of each bumper in the column of “+100 immediately to the right of the first time” to obtain the determination value of each bumper for the second time. Then, the determination value of the second bumper A is 60, the determination value of the second bumper B is 40, and the determination value of the third bumper C is 100. The smallest of the three judgment values is “40” of the bumper B. Therefore, the bumper B is selected as a bumper to be carried out.

  Further, the process proceeds to the column “+100 immediately to the right of the second time”, and the determination value of each bumper for the second time is stored in this column. At this time, the initial value “100” (100 = total of subtraction values of each bumper) is added to the determination value “40” of the second bumper B for the determination value of the bumper B selected the second time. The value “140” is stored. For the determination values of bumper A and bumper C that are not selected, the second determination value is stored as it is. Therefore, in the column of “+100” immediately to the right of the second time, the determination value of bumper A remains “60”, the determination value of bumper C also remains “100”, and the determination value of bumper B is “140”.

(3rd and subsequent times) Since the third and subsequent processing are the same as the processing up to the second time, detailed description is omitted. In the third time, “out of paint for A” is exclusively for the explanation of FIG. 6C, and is ignored in the explanation of FIG. 6B. As a result, the “n-th” and “bumper type” have a one-to-one correspondence. The number of times of selection up to the tenth time is 2 times for bumper A, 3 times for bumper B, and 5 times for bumper C, which coincide with the number of bumpers of each type. In the fifth time, the determination value of bumper B is “50”, and the determination value of bumper C is also “50”. At this time, the bumper B is selected based on a preset priority order (for example, when A → B → C in the order of higher priority order, B has a higher priority order than C). Incidentally, the judgment value transition table 111 is an ideal type in which the “nth” and “bumper type”, which are the order of the iterative processing for subtracting the subtraction value, correspond one-to-one.

  FIG. 6C is a judgment value transition table 112 obtained by manually changing the judgment value transition table 111 (FIG. 6B) created by the batch processing, and the work schedule table 91 of FIG. Corresponding to For example, it is assumed that the user learns at around 10:30 that “the paint for the bumper A has run out and an emergency order has been placed with the paint manufacturer, but it takes 60 minutes to reach the site”. At this time, in order to postpone the work of the bumper A, the user manually subtracts “20” from the determination value “50” of the third bumper C to obtain “30”. Then, the work sequence planning apparatus 1 selects the bumper C at the third time. The work order planning apparatus 1 also performs subsequent processing continuously. The judgment value transition table 112 is also an ideal type, and the user does not need to make additional changes thereafter.

(Work order planning device)
The configuration of the work order planning apparatus 1 will be described with reference to FIG. The work order planning device 1 is a general computer and includes a central control device 11, an input device 12, an output device 13, a main storage device 14, and an auxiliary storage device 15. These are connected to each other by a bus. The auxiliary storage device 15 stores a work schedule table 81 (91) and a judgment value transition table 111 (112). The work order creating unit 21 and the work order recreating unit 22 in the main storage device 14 are programs. Thereafter, when the subject is described as “XX section”, the central control device 11 reads out each program from the auxiliary storage device 15 and loads it into the main storage device 14, and then the function of each program (detailed later). Shall be realized.

(Processing procedure)
Hereinafter, the processing procedure of this embodiment will be described. There are two processing procedures, which are a work order creation processing procedure and a work order re-creation processing procedure. The work sequence creation processing procedure is mainly executed as a nighttime batch process. The work order re-creation process procedure is executed only when the work plan table and the judgment value transition table need to be changed on the assumption that the work order creation process procedure has already been executed.

(Work order creation processing procedure)
A work sequence creation processing procedure will be described with reference to FIG. 8 (see also FIG. 6B as appropriate).
In step S201, the work order creation unit 21 of the work order planning apparatus 1 calculates a subtraction value for each bumper. Specifically, firstly, the work order creation unit 21 accepts that the user inputs the number of bumpers to be worked in a predetermined period for each bumper type via the input device 12. Here, it is assumed that the work order creation unit 21 receives “(type and number of bumpers) = (A, 2), (B, 3), (C, 5)”.

  Second, the work order creation unit 21 calculates a subtraction value based on a predetermined subtraction value calculation formula. Here, it is assumed that the predetermined subtraction value calculation formula is “subtraction value = number of bumpers / total number of bumpers × 100”. In this case, the subtraction value of bumper A is 20, the subtraction value of bumper B is 30, and the subtraction value of bumper C is 50.

  In step S202, the work order creation unit 21 calculates an initial value for each bumper. Specifically, the work order creation unit 21 sets the sum of the subtraction values of the bumpers calculated in “second” in step S201 as an initial value common to the bumpers. That is, the initial value of bumper A, the initial value of bumper B, and the initial value of bumper C are all 100. The work order creation unit 21 may accept that the user inputs another initial value via the input device 12.

  In step S203, the work order creation unit 21 sets “processing order 1” as the calculation start order. Specifically, the work order creation unit 21 assigns “1” to the counter variable “n” indicating the order of the repetitive processing (n-th).

  In step S204, the work order creation unit 21 substitutes an initial value as a determination value in the calculation start order. Specifically, the work sequence creation unit 21 holds (nth, determination value of bumper A, determination value of bumper B, determination value of bumper C) = (1, 100, 100, 100).

  In step S205, the work order creation unit 21 subtracts the subtraction value from the determination value for each bumper. Specifically, the work order creation unit 21 temporarily holds (1, 100, 100, 100) and then (1, 100-20, 100-30, 100-50) = (1, 80 , 70, 50) are temporarily held (corresponding to each determination value of “first time” in FIG. 6B). Hereinafter, (1, 80, 70, 50) may be referred to as a “first determination value vector”. Similarly, the nth subtraction result may be referred to as an “nth determination value vector”.

In step S206, the work order creation unit 21 selects a bumper having the smallest determination value. Specifically, first, the work order creation unit 21 selects a bumper type corresponding to the smallest determination value of the “first determination value vector” in step S205. Among the determination value “80”, the determination value “70”, and the determination value “50”, the minimum determination value is “50”. Therefore, the bumper C is selected. Even if there are a plurality of minimum determination values, the work order creation unit 21 selects one bumper type based on a predetermined priority.
Second, the work order creation unit 21 temporarily holds [nth, selected bumper] = [1, C] (corresponding to the “first” selection result in FIG. 6B). [1, C] may be hereinafter referred to as “first selection information”. Similarly, the nth selection result may be referred to as “nth selection information”.

In step S207, the work order creation unit 21 adds an initial value to the determination value of the bumper having the smallest determination value. Specifically, the work sequence creation unit 21 adds the initial value “100” to the determination value of the bumper C of the first determination value vector (1, 80, 70, 50), and (1 ^* , 80, 70, 50 + 100) = (1 ^* , 80, 70, 150) is temporarily held (corresponding to each determination value of “+100” immediately to the right of “first time” in FIG. 6B). The initial value “100” here is the sum of the subtraction values of the bumpers. The reason why the initial value is added to the determination value of bumper C is that the determination value of bumper C is the smallest. That is, the first selection information includes the selection bumper “C”. (1 ^* , 80, 70, 150) may be hereinafter referred to as “first right determination value vector”. Similarly, the nth addition result may be referred to as an “nth right determination value vector”. The symbol “*” attached to the upper right of the processing order “1” indicates that the vector including itself is the “right determination value vector”.

  After step S207, the work sequence creation unit 21 increments the counter variable “n” by “1” and then returns to step S205. Thereafter, the work order creation unit 21 repeats the processes of steps S205 to S207 a predetermined number of times. The predetermined number of times is usually equal to the total number of bumpers. Then, data based on the judgment value transition table 111 in FIG. 6B is generated one after another.

  In step S205 in the iteration loop after n (n ≧ 2), “subtract the subtraction value from the determination value for each bumper” means “subtract from the determination value of the n−1th right determination value vector” It is read as “Subtract the value”. In the final iteration loop, the work order creation unit 21 does not execute step S207.

The work order creation unit 21 exits the loop after executing the repeated loop process 10 times. Information (referred to as “loop processing acquisition information”) temporarily held by the work order creation unit 21 at this time is as follows.
-Nth judgment value vector (n = 1, 2,..., 10)
Nth right judgment value vector (n = 1, 2,..., 9)
-Nth selection information (n = 1, 2,..., 10)

In step S208, the work order creation unit 21 displays and registers the work target and the determination value. Specifically, firstly, the work order creation unit 21 creates a work schedule table 81 and a determination value transition table 111 based on the loop process acquisition information, and displays them on the output device 13. At this time, the work order creation unit 21 displays the work target and the determination value in association with the processing order.
Secondly, the work order creation unit 21 stores the work schedule table 81 and the determination value transition table 111 in the auxiliary storage device 15. At this time, the auxiliary storage device 15 stores the work target and the determination value in association with the processing order.
Thereafter, the work order creation processing procedure ends.

(Work order re-creation processing procedure)
The work sequence re-creation processing procedure will be described with reference to FIG.
In step S221, the work order recreating unit 22 of the work order planning apparatus 1 calculates a subtraction value for each bumper. This process is the same as step S201. However, this step is passed only when there is a change in the type of bumper or the number of bumpers to be worked in a predetermined period. If there is no change, the work order re-creating unit 22 omits step S221.

  In step S222, the work order recreating unit 22 sets an initial value for each bumper. This process is the same as step S202. However, this step is passed only when there is a change in the type of bumper or the number of bumpers to be worked in a predetermined period. If there is no change, the work order re-creating unit 22 omits step S222.

  In step S223, the work order recreating unit 22 receives the calculation restart order. Now, the work order re-creating unit 22 displays the work schedule table 81 (FIG. 3A) or the judgment value transition table 111 (FIG. 6B) on the output device 13. These tables also correspond to the “knitting instruction before change and painting instruction before change” described above in the description of FIG. 4. It is assumed that the user is looking at them and is going to change the bumper A selected in the “third time” to, for example, the bumper C. At this time, the work order re-creating unit 22 accepts that the user inputs “third time” via the input device 12. Then, “3” is substituted into the counter variable “n”. Note that this “third time” is the starting point of the iterative process.

In step S224, the work order re-creating unit 22 acquires the determination value immediately before the calculation restart order. Specifically, the work order recreating unit 22 holds (nth, determination value of bumper A, determination value of bumper B, determination value of bumper C) = (2 ^* , 60, 140, 100) ( Corresponding to each determination value of “+100” immediately to the right of “second time” in FIG. 6B). (2 ^* , 60, 140, 100) is the case where steps S221 and S222 are omitted, that is, when there is no change in the type of bumper or the number of bumpers to be worked in a predetermined period. The second right determination value vector ”.

  In the case of going through steps S221 and / or S222, the work order re-creating unit 22 performs the processing of steps S205 to S207 in FIG. 8 based on the changed subtraction value and / or initial value. Execute again to the column of +100 ". Then, the work order recreating unit 22 uses the “second right determination value vector” after execution again. Hereinafter, for simplification, a case where steps S221 and S222 are omitted will be described.

  In step S225, the work order re-creating unit 22 receives the changed determination value in the calculation restart order. Now, the third determination value vector before the change is (3, 40, 110, 50). For example, the user wants to change the determination value “50” of the bumper C to “30”, for example. At this time, the work order recreating unit 22 accepts that the user inputs “bumper C” and “30” (corresponding to the determination value of the “third” bumper C in FIG. 6C). Then, the difference “20” (20 = 50−30) between the determination values before and after the change is temporarily held.

In step S226, the work order recreating unit 22 subtracts the subtraction value from the determination value for each bumper. Specifically, the work order recreating unit 22 subtracts the subtraction value from the determination value of the second right determination value vector. That is, the subtraction value is subtracted from (2 ^* , 60, 140, 100), and the changed third determination value vector (3, 60-20, 140-30, 100-70) = (3, 40, 110, 30) is temporarily held (corresponding to each determination value of “third time” in FIG. 6C). Here, the work order re-creating unit 22 subtracts “70” from the determination value “100” of the bumper C. Of these “70”, “50” is a subtraction value that should be subtracted originally, and the remaining “20” is the “difference” held in step S225.

  In step S227, the work order recreating unit 22 selects a bumper having the smallest determination value. This process is the same as step S206.

  In step S228, the work order recreating unit 22 adds the initial value to the determination value of the bumper having the minimum determination value. This process is the same as step S207.

The work order re-creating unit 22 executes the repeated loop process 8 (8 = 10− (3-1)) times, and then exits the loop. The loop process acquisition information temporarily held by the work order recreating unit 22 at this time is as follows.
-Nth judgment value vector (n = 3, 4,..., 10)
-Nth right judgment value vector (n = 3, 4,..., 9)
-Nth selection information (n = 3,4, ..., 10)

  In step S229, the work order re-creating unit 22 displays and registers the work target and the determination value. Specifically, first, the work order re-creating unit 22 performs the work schedule table 91 based on loop process acquisition information (values updated in the work order re-creation process procedure for n = 3 and later). And the judgment value transition table 112 is created and displayed on the output device 13. At this time, the work order recreating unit 22 displays the work target and the determination value in association with the processing order. Note that the work order re-creating unit 22 may highlight the changed contents when the work target in the same processing order is changed.

Secondly, the work order recreating unit 22 stores the work schedule table 91 and the determination value transition table 112 in the auxiliary storage device 15. At this time, the auxiliary storage device 15 stores the work target and the determination value in association with the processing order.
Thereafter, the work order creation reprocessing procedure is terminated.

(Supplementary explanation about subtraction value and initial value)
As described above, in this embodiment, “subtraction value of each bumper = number of bumpers / total number of bumpers × 100” and “initial value = total of subtraction values of each bumper” are established. As a matter of course, the work order planning apparatus 1 functions sufficiently even if at least one of these is not established. However, it is desirable to establish both of these bumpers in order to make use of the advantage of the Thali calculation that unpainted objects disappear at almost the same timing. It is assumed that the work target (bumper type) selected by the user is changed at the final stage of the ninth and tenth times. At this time, the ratio of the number of work objects selected up to the tenth to the total number may not completely match the appearance probability. However, it is known that if the number of selections further increases, the ratio converges to the appearance probability (theoretical value).

(Effect of embodiment)
The work sequence planning apparatus 1 of the present embodiment has the following effects.
(1) The process is stored so that the order of the repetitive processing and the work object correspond one-to-one. Therefore, when the stored contents are displayed, the user can find a work target to be changed (article selected as a work target in the processing order) naturally and easily.
(2) When a work target needs to be changed, a processing order as a starting point is accepted. Therefore, the user can change the work target using easy-to-understand information such as “n-th” as a key.
(3) One work object is determined based on a predetermined priority among a plurality of work objects having the smallest determination value. Therefore, it is ensured that the processing order and the work target correspond one-to-one.

(4) A subtraction value is calculated for each type of article based on the percentage of the number of articles for each type in the total number of articles. Therefore, it is possible to take advantage of the known Thali calculation.
(5) The initial value is the sum of the subtraction values calculated for each type of article. Therefore, it is possible to take advantage of the known Thali calculation.
(6) Accept the changed subtraction value or initial value. Therefore, it is possible to flexibly cope with a change in the number of articles.

(7) The work target is displayed for each processing order. Therefore, it is easy to determine the processing order as a starting point when changing the work target.
(8) Display the judgment value for each processing order. Therefore, it is easy to understand how much the judgment value should be changed when the work target is changed.
(9) The work target before and after the change is displayed for each processing order. Therefore, the user can easily confirm that the work content has been changed in the desired processing order.

In addition, this invention is not limited to an above-described Example, Various modifications are included. For example, the above-described embodiments have been described in detail for easy understanding of the present invention, and are not necessarily limited to those having all the configurations described. Further, a part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. Further, it is possible to add, delete, and replace other configurations for a part of the configuration of each embodiment.
Each of the above-described configurations, functions, processing units, processing means, and the like may be realized by hardware by designing a part or all of them with, for example, an integrated circuit. Each of the above-described configurations, functions, and the like may be realized by software by interpreting and executing a program that realizes each function by the processor. Information such as programs, tables, and files that realize each function can be stored in a recording device such as a memory, a hard disk, or an SSD (Solid State Drive), or a recording medium such as an IC card, an SD card, or a DVD.
In addition, the control lines and information lines are those that are considered necessary for the explanation, and not all the control lines and information lines on the product are necessarily shown. In practice, it may be considered that almost all the components are connected to each other.

1 Work order planning device 11 Central controller (control unit)
12 Input device 13 Output device 14 Main storage device (storage unit)
15 Auxiliary storage device (storage unit)
21 work order creation unit 22 work order re-creation unit 81 work schedule 111 judgment value transition table

Claims (11)

Accept the number of articles for each type of article,
Based on the number of received articles, a subtraction value is calculated for each type of article,
Based on the calculated subtraction value, an initial value common to each article is calculated,
As the first process,
A determination value that is a result of subtracting the subtraction value from the initial value is calculated for each type of the article,
Determining the type of the article with the smallest determination value as a work target;
As the next process,
Add the initial value to the determination value of the type of article determined as a work target in the first process or the next process immediately before,
A determination value that is a result of subtracting the subtraction value from a determination value of an article type other than the article type determined as the work target after the addition is calculated for each type of article,
The article type that minimizes the judgment value, which is the result of subtracting the subtraction value from the judgment value of the article type other than the judgment value after the addition and the article type determined as the work target, is determined as the work target. ,
A control unit that repeats the next process a predetermined number of times after the end of the initial process;
A storage unit that stores the determined work target in association with the order of the initial process and the next process;
A work order planning apparatus comprising: The controller is
Accept the order associated with the work target that needs to be changed among the orders,
Starting from the initial process or the next process in the received order, repeating the initial process or the next process after the received order;
The work order planning apparatus according to claim 1. The controller is
When there are a plurality of types of articles that have the smallest determination value,
Determining one of the work targets based on a predetermined priority;
The work order planning apparatus according to claim 2. The controller is
Calculating the subtraction value based on the percentage of the number of articles for each type of article in the total number of articles;
The work order planning apparatus according to claim 3. The controller is
The total value of the subtraction values calculated for each type of article is the initial value,
The work order planning apparatus according to claim 4. The controller is
Accept the subtracted value after change or the initial value after change,
Executing the initial process or the next process based on the received subtraction value after change or the initial value after change;
The work order planning apparatus according to claim 5. The controller is
Displaying the determined work target in association with the order;
The work order planning apparatus according to claim 6. The controller is
Displaying the calculated determination value in association with the order;
The work order planning apparatus according to claim 7. The controller is
Displaying the work target determined after receiving the order associated with the work target requiring the change and the work target determined before receiving the order associated with the work target requiring the change for each order;
The work order planning apparatus according to claim 8. The control unit
Accept the number of articles for each type of article,
Based on the number of received articles, a subtraction value is calculated for each type of article,
Based on the calculated subtraction value, an initial value common to each article is calculated,
As the first process,
A determination value that is a result of subtracting the subtraction value from the initial value is calculated for each type of the article,
Determining the type of the article with the smallest determination value as a work target;
As the next process,
Add the initial value to the determination value of the type of article determined as a work target in the first process or the next process immediately before,
A determination value that is a result of subtracting the subtraction value from a determination value of an article type other than the article type determined as the work target after the addition is calculated for each type of article,
The article type that minimizes the judgment value, which is the result of subtracting the subtraction value from the judgment value of the article type other than the judgment value after the addition and the article type determined as the work target, is determined as the work target. ,
After the completion of the initial process, the next process is repeated a predetermined number of times,
The storage unit
Storing the determined work target in association with the order of the initial process and the next process;
A work order planning method for a work order planning apparatus comprising the control unit and the storage unit. For the control unit of the work sequence planning device,
Accept the number of articles for each type of article,
Based on the number of received articles, a subtraction value is calculated for each type of article,
Based on the calculated subtraction value, an initial value common to each article is calculated,
As the first process,
A determination value that is a result of subtracting the subtraction value from the initial value is calculated for each type of the article,
Determining the type of the article with the smallest determination value as a work target;
As the next process,
Add the initial value to the determination value of the type of article determined as a work target in the first process or the next process immediately before,
A determination value that is a result of subtracting the subtraction value from a determination value of an article type other than the article type determined as the work target after the addition is calculated for each type of article,
The article type that minimizes the judgment value, which is the result of subtracting the subtraction value from the judgment value of the article type other than the judgment value after the addition and the article type determined as the work target, is determined as the work target. ,
After the completion of the initial process, the process to repeat the next process a predetermined number of times is executed,
For the storage unit of the work order planning device,
Causing the determined work target to be stored in association with the order of the initial process and the next process;
A work order planning program for causing the work order planning apparatus to function.

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