JP5239797B2 - Body accuracy trend management system - Google Patents

Description

  The present invention relates to a vehicle body accuracy trend management system.

  Conventionally, the vehicle assembly accuracy management method of Patent Document 1 has been proposed when performing quality control such as assembly in vehicle body manufacturing. Patent Document 1 uses assembly position data for each vehicle component and the like as explanatory variables in a vehicle production line, and reference assembly position data representing the assembly accuracy of a final or intermediate completed vehicle as an objective variable. A regression analysis is performed based on the explanatory variable and the objective variable, a component having a relatively high contribution rate is specified, and the objective variable is adjusted to an appropriate assembly accuracy.

  In Patent Document 2, quality data is received from a terminal, a statistical value is calculated to calculate a characteristic value for quality control of the product, a control chart in which the characteristic value is plotted is created, There has been proposed a quality control system that warns when an abnormal point is detected and there is an abnormality in the process from which quality data is collected.

  Further, in Patent Document 3, a production line that takes in a measured value for each inspection process provided in a production line of a manufacturing process and diagnoses whether the measured value is within an allowable range stored in a process abnormality diagnosis database. A process abnormality automatic diagnosis system has been proposed.

  Further, in Patent Document 4, means for accumulating inspection results including pass / fail judgments in the inspection process and measurement values for each inspection item, control limits for the defect rate and measurement values for each inspection item, the control limit values and the number of continuous increases In addition, a quality management system has been proposed having a continuous management frequency and a defect management table defined by an increase rate and a decrease rate. In this quality control system, the defect rate is calculated periodically every time the inspection results are collected. If the defect rate exceeds the control limit set in the defect management table, the defect rate and management over a certain period in the past are managed. A graph showing the time transition of the measured value of the inspection item exceeding the limit is output.

In Patent Document 5, information indicating the dimensional standard of a component, information indicating a design specification of a unit used for determination of quality of a unit, information regarding variation in a component dimension obtained by actually measuring the component, and Based on the above, there has been proposed a system for obtaining a unit assembly failure rate.
JP 2006-264521 A JP 2006-79354 A Japanese Patent Laid-Open No. 10-206200 JP-A-2-98632 JP 2006-23238 A

  However, in Patent Document 1, a component having a relatively high contribution rate is specified and the objective variable is adjusted to an appropriate assembly accuracy. Although it is possible to specify the target variable and adjust the target variable to an appropriate assembly accuracy, it does not look at a time series change in the assembly accuracy of each part or assembly itself.

  In Patent Document 2, Patent Document 3 and Patent Document 4, it is determined whether there is an abnormality in the process of collecting quality data, whether the measured value is within an allowable range, or whether the defect rate exceeds a control limit. Will be determined. However, these can be dealt with for quality control after the occurrence of an abnormality, but it is desirable to be able to deal with before the abnormality occurs in order to perform quality control. Further, in Patent Document 5, since the defect rate of the unit is merely obtained, there is a problem that the countermeasure for improving the quality control is not sufficient if only the defect rate is known.

  An object of the present invention is to provide a vehicle body accuracy trend management system that enables a quality manager to predict signs of abnormality in vehicle body accuracy, and to improve quality and reduce development and management costs.

In order to solve the above-mentioned problems, the invention according to claim 1 is characterized in that a plurality of measurement values (hereinafter referred to as measurement value groups) measured in inspections provided in various steps of vehicle body manufacturing are measured for each inspection item. An input means for inputting together with the measurement time, a measurement value database for storing the input measurement value group in time series for each inspection item, statistical processing of the measurement value group for each inspection item, and a predetermined time Statistical processing means for calculating the average value and standard deviation for each unit, or the maximum value and the minimum value of the average value and the measured value, the cause information that causes the tendency pattern drawn by the statistical processing result graph of the statistical processing means, and the tendency The tendency pattern countermeasure information input means for inputting the countermeasure information for canceling the pattern and the countermeasure confirmation information for which the result of the countermeasure has been confirmed, the input cause information, countermeasure information, and countermeasure confirmation information Trend And trend pattern correspondence information database that stores in association with over emissions, and the graph in time series the results of the statistical processing, and an output means for outputting the reference value of the graph and the test items, and the output means, the specific When there is a trend pattern obtained based on a new measurement value group in the inspection item, a similar trend pattern is searched from the past trend patterns related to the inspection item in the trend pattern correspondence information database. Thus , the gist of the vehicle body accuracy tendency management system is characterized by outputting cause information, countermeasure information, and countermeasure confirmation information regarding the tendency pattern .

The invention of claim 2, Oite to claim 1, for each of the test items, by comparing with a reference value measurement constituting the trend pattern the graph depicts, tendency patterns showed abnormal trends comprising an evaluation means for evaluating whether it is, the trend pattern in the measurement database, and storing, in association with the measurement value group of trend patterns of the test item and the evaluation.

According to a third aspect of the present invention, in the second aspect , the output means is capable of outputting a list of component parts used for manufacturing a vehicle body, and when the list is output, the component parts related to the inspection item are output. On the other hand, the evaluation of the tendency pattern relating to the inspection item is displayed.

According to a fourth aspect of the present invention, in the third aspect , the evaluation means divides the tendency pattern into levels according to which reference value deviates from the tendency pattern based on the comparison with the reference value, and the output means When the list is output, the component parts related to the inspection item are identified and displayed according to the classified class of the trend pattern related to the inspection item.

  According to the invention of claim 1, statistical processing is performed for each inspection item on the measurement value groups measured in the inspections provided in the various processes of manufacturing the vehicle body, and the statistical processing results are graphed in time series, Since the graph and the reference value of the inspection item are output, the quality manager can predict signs of abnormality in the vehicle body accuracy. As a result, quality can be improved and development / management costs can be reduced.

In addition , when there is a tendency pattern obtained based on a new measurement value group in a specific inspection item, the output means , from among the past trend patterns related to the inspection item in the trend pattern correspondence information database Then, similar tendency patterns are searched, and cause information, countermeasure information, and countermeasure confirmation information regarding the tendency patterns are output. As a result, it is possible to efficiently obtain cause information, countermeasure information, and countermeasure confirmation information corresponding to the new trend pattern, and it is possible to promptly take measures to improve accuracy.

According to the invention of claim 2 , the evaluation means compares the measured value constituting the tendency pattern drawn by the graph for each inspection item with the reference value to determine whether or not the tendency pattern shows an abnormal tendency. And the tendency pattern is stored in the measurement value database in association with the measurement value group of the trend pattern of the evaluated inspection item, so that the evaluation of the trend pattern obtained in the past is obtained for the inspection item. be able to.

According to the invention of claim 3 , the output means can output a list of component parts used for vehicle body manufacture, and when the list is output, the inspection is performed on the component parts related to the inspection item. Since the evaluation of the trend pattern regarding the item is displayed, it is possible to immediately determine which component is to take an action for improving the vehicle body accuracy.

According to the invention of claim 4 , when the list is output by the output means, the component parts related to the inspection item are identified and displayed according to the classified class of the tendency pattern related to the inspection item. Therefore, it is possible to determine which component causes an action for improving the body accuracy according to the class.

Hereinafter, an embodiment in which the present invention is embodied in a vehicle body accuracy tendency management system provided in a factory or a management center for manufacturing a vehicle body will be described with reference to FIGS.
FIG. 1 is a block diagram schematically showing a main part of the vehicle body accuracy trend management system. As shown in the figure, the vehicle body accuracy trend management system includes a processing device 10 including a computer, an input device 20 including a keyboard and a mouse (not shown), a display 30, a printing device 40, and a storage device 50. Prepare. The processing device 10 communicates with the CPU 12, a ROM 14 storing a predetermined program and a calculation program for performing statistical processing, a RAM 16 for temporarily storing various data, and a plurality of external measuring devices (not shown). Part 18. For example, the communication unit 18 can communicate with the plurality of measurement devices via a LAN or the like, and can input accuracy measurement information. The processing device 10 corresponds to statistical processing means and evaluation means, and the input device 20 corresponds to input means and trend pattern countermeasure information input means. The display 30 corresponds to output means.

Next, the storage device 50 of the vehicle body accuracy trend management system configured as described above will be described.
First, the storage device 50 includes a basic information database 52, a trend pattern correspondence information database 54, and a measurement value database 56.

  The basic information database 52 includes various types of vehicle information related to vehicle body manufacturing, various types of component information (including an assembly) that configures the vehicle for each vehicle, and at least one measurement site information of various types of components. The vehicle information is information for specifying a vehicle.

  The component information (including the assembly) is information for specifying a component that constitutes the vehicle, and is associated with the vehicle information of the vehicle. When the component is an assembly, a sub-assembly or a single component constituting the assembly is associated with the assembly so as to have a hierarchical structure. FIG. 2 shows an example of a shell body assembly of a vehicle. A shell body assembly is associated with a front-around mounting (assy), and a lower layer includes a hood assembly and a fender assembly constituting the front-around mounting. Associated. The lower part of the hood assembly is associated with the hood outer, hood inner, hood phosphorus hose, and hood hinge phosphorus hose constituting the hood assembly. The component information is associated with image information representing each component and is stored in the basic information database 52 and can be output to the display 30 and the printing device 40. FIG. 3 shows an example in which the component parts of the hierarchical structure (in this embodiment, a tree structure) shown in FIG. 2 are displayed based on the image information.

In this way, a list display of components constituting the vehicle (a list in a tree structure) is possible by selecting a list display mode via the input device 20.
The measurement part information is information for specifying a part necessary for measurement of inspection in each component part, and is associated with the component part information. For example, when there are three measurement parts in a specific assembly, information for specifying the three measurement parts is associated with the assembly (component). In the measurement site information, various conditions such as “exact size”, “reference tolerance”, and “limit value” of the measurement site are input (registered) by the input device 20 for each measurement site. Associated with information.

  The basic information is registered in the basic information database 52 by the input device 20. The basic information may be input via the communication unit 18 using an input device provided in another terminal as an input unit.

The measurement value database 56 stores accuracy measurement information.
The accuracy measurement information includes a group of measurement values for each measurement site by inspections provided in various processes at the time of vehicle body manufacture, and time information when the measurement site was measured, that is, measurement time (year, month, day, hour, minute) The information is associated with each other, is associated with the measurement site information, and is filed for each measurement site information in the basic information database 52. The measurement site corresponds to an inspection item.

  The accuracy measurement information is taken (that is, registered) into the measurement value database 56 via the input device 20 or from the measurement device (not shown) in real time. Since this accuracy measurement information includes the time information, a history of measurement values for each measurement site can be obtained. In this case, the measuring device corresponds to an input means.

  The trend pattern correspondence information database 54 includes cause information, countermeasure information, countermeasure confirmation information, and statistical processing result information for a certain period of the trend pattern. The time information of the associated accuracy measurement information is associated with a specific period. This specific period is a period during which a later-described trend pattern appears in a statistical process result when a later-described statistical process is performed.

  Here, the statistical processing is performed by calculating the average (xbar) and standard deviation σ of these measured values or the average of measured values (xbar ) And extraction processing of the maximum and minimum values of the measured values. Here, the predetermined time is a group of measurement times of the measurement site, and in the present embodiment, the predetermined time is any one of hour unit, day unit, week unit, and month unit. The predetermined time unit is not limited to these units, but may be a certain unit such as every 2 hours, every 3 hours, every 2 weeks, or every 2 months. is not.

  Moreover, as a tendency pattern, the tendency pattern as shown to Fig.7 (a)-(e) can be mentioned, for example. 7A to 7E, the vertex of the upward arrow indicates + 3σ in the measured value, and the vertex of the downward arrow indicates −3σ of the measured value. When the measured value shows a normal distribution, 99.73% of the measured value exists in the range of the average value ± 3σ.

  FIG. 7A shows a “median value change type”. When there is a management upper limit value and a management lower limit value across the median value, the average value of the measured values gradually changes over time. FIG. 7B shows a “variation expansion type”, in which + 3σ and −3σ of the measurement values at each measurement time increase in difference with time. FIG. 7C shows a “insufficient process capability type” in which + 3σ and −3σ of measured values at each measurement time are originally largely varied. FIG. 7D shows a “median deviation type”, and the average value is deviated from the median at any measurement time. FIG. 7E shows a “sudden variation expansion type”, where the difference between the measured values + 3σ and −3σ is suddenly larger than that at other measurement times at a certain measurement time.

In addition, these tendency patterns are illustrations, Comprising: A tendency pattern is not limited to these.
If there is a tendency pattern as described above, the cause information is information indicating the cause or problem of the tendency pattern. The countermeasure information is information indicating a countermeasure for eliminating the trend pattern as described above. The countermeasure confirmation information is information on the result of the above countermeasures.

The cause information, countermeasure information, and countermeasure confirmation information can be input from the input device 20 as a trend pattern countermeasure information input means.
(Function)
Now, the operation of the vehicle body accuracy trend management system configured as described above will be described.

  Note that basic information is stored in advance in the basic information database 52 by an input means such as the input device 20, a past measurement value group is stored in the measurement value database 56, and the measurement data is stored in the trend pattern correspondence information database 54. It is assumed that cause information, countermeasure information, and countermeasure confirmation information corresponding to various tendency patterns stored in the value database 56 are stored.

  In the vehicle body accuracy trend management system, a measurement value group is input at a predetermined measurement time with respect to a certain measurement part of a certain component, and a file of accuracy measurement information is stored via the communication unit 18 or the input device 20. ing.

  Here, when statistically processing a file of a specific measurement site, the quality manager inputs a file name for designating the specific measurement site in the file name column 72 of the display screen 70 on the display 30. In addition, the aggregation section column 74 of the display screen 70 is provided with an item column for selecting an hour unit, a day unit, a week unit, and a month unit, and the quality manager selects and inputs one of the item columns.

  Further, the totaling area 73 of the display screen 70 is provided with a period input setting field 75 for dividing the display range of measured values in terms of time, and the quality manager displays the display range in the period input setting field 75. input. Further, in the display / non-display selection area 71 of the display screen 70 of the display 30 shown in FIG. 4, “average (xbar)”, “3σ”, “max / min” can be selected. In “value” and “management value”, the standard value and management value of the measurement site to be displayed can be input and set. Therefore, the quality manager selects and inputs desired items among these.

  Then, the quality manager selects and inputs one of them in the display / non-display selection area 71, and operates the “open” button key 72 a on the file name column 72 of the display screen 70 with the input device 20. In response to this, the CPU 12 reads the file in the file name field 72 and selects it in the display / non-display selection area 71 for each unit selected in the totaling field 74 during the period set in the display range. The statistical processing of the measurement value group input is performed according to the instruction of the entered item, and the statistical processing result is graphed and displayed in the graph display area 80. In addition, the CPU 12 displays the “standard value” and “management value” that have been input and set. “Standard value” and “control value” correspond to the reference value. These values may be displayed numerically, or may be displayed on the display screen 70 together with the graph when the statistical processing result is graphed.

  In the example of FIG. 4, since “average (xbar)” and “3σ” are selected and the daily unit is set, the CPU 12 calculates the average value and the standard deviation σ of the measured value on a daily basis. Then, the CPU 12 displays the statistical processing result on the graph display area 80 of the display 30 with an average (xbar) and ± 3σ.

  In the statistical process, when “average (xbar)” or “max / min” is selected, the CPU 12 extracts the average (xbar) of the measurement values and the maximum and minimum values of the measurement values, Display in xbar-R control chart. The xbar-R control chart is a graph of the average (xbar) and R (range: “maximum value-minimum value” of the measured values).

  As described above, FIG. 4 is an example. Here, the display screen of the display 30 is an example. The measurement time unit of the “measurement hole” of a certain measurement site is defined as one day, and the statistical processing result (ie, average ( xbar) and ± 3σ) over time. That is, as shown in the figure, the time range of the measured value display (in the example shown, 2008/06/27 to 2008/07/04) is set, and the statistical processing results for this period are in units of days. It is graphed every time. In FIG. 4, the statistical processing result is displayed in a graph in the graph display area 80. In the present embodiment, as shown in FIG. 4, the measurement values are displayed in a table format in the table display area 90 of the display screen of the display 30.

  Here, as shown in FIG. 5, when the statistical processing result becomes a tendency pattern exceeding the management value or the standard value, the quality manager operates the input device 20 to set the comment entry mode. Then, the CPU 12 receives this and enters the comment entry mode, and displays the accuracy problem comment entry column 100, the countermeasure comment entry column 110, and the countermeasure confirmation comment entry column 120 on the display 30 as shown in FIG. In this display state, the quality manager enters a comment in each column by key input on the keyboard of the input device 20. In the accuracy task comment entry column 100, the cause and the task in which such a tendency pattern occurs are entered as comments. In the countermeasure comment entry column 110, a countermeasure for eliminating such a trend pattern is entered as a comment. In the countermeasure confirmation comment entry column 120, the confirmed items as a result of the countermeasures are entered as comments.

  The comments (contents) entered in the accuracy task comment entry field 100, the countermeasure comment entry field 110, and the countermeasure confirmation comment entry field 120 are cause information, countermeasure information, and countermeasure confirmation information, respectively. After the entry, when the quality manager operates the registration keys 102, 112, and 122 displayed corresponding to the respective columns with a mouse or the like (not shown), the following processing is performed.

  That is, the CPU 12 is displayed on the display screen 70 during which the trend pattern is present (that is, the period set in the display range) in the time information of the accuracy measurement information associated with the measurement site information of the measurement value. The comment entered in each column is stored in the trend pattern correspondence information database 54 in association with the specific period. At the time of this storage, identification data for reading the trend pattern is associated with the trend pattern so that the quality manager can later retrieve the trend pattern for each measurement site. In addition, the statistical processing result of a specific period in which the trend pattern appears is also stored in the trend pattern correspondence information database 54 in association with the identification data as statistical processing result information of a specific period with the trend pattern. In addition, a management attention flag is added to the component information related to the measurement part where the tendency pattern in which the statistical processing result exceeds the management value or the standard value is generated in this way, and stored in the basic information database.

  Each time a trend pattern is generated in this way, the trend pattern correspondence information database 54 is registered by registering the comments entered in the accuracy task comment entry field 100, the countermeasure comment entry field 110, and the countermeasure confirmation comment entry field 120, respectively. Is built. When searching for this trend pattern, by inputting the measurement site information and the identification code of the trend pattern, the trend pattern to which the identification code is assigned is read from the trend pattern correspondence information database 54 and the specified pattern The trend pattern of the period is displayed on the display 30.

  For example, when a certain trend pattern is observed when a statistical processing result of a new measurement value group is graphed for a certain measurement site, the quality manager displays a trend pattern similar to the past for the measurement site. In order to search, the measurement part information of the measurement part and the identification code of the tendency pattern that seems to be applicable are input via the input device 20. Based on the input measurement site information and the identification code, the CPU 12 searches for a past trend pattern from the trend pattern correspondence information database 54 and displays the search result on the display 30.

This search can be performed by inputting a plurality of identification codes and searching for “OR” conditions.
FIG. 6 shows the results displayed on the display 30 with the identification codes of a plurality of tendency patterns as “OR” conditions and the measurement site information as “AND” conditions. FIG. 6 shows a display 30 on which various trend patterns are displayed on the display 30 by the CPU 12, and cause information and countermeasure information are displayed. For convenience of explanation, the countermeasure information is not shown in FIG. 6. However, when the display screen of the display 30 is scrolled in FIG. 6, for example, countermeasure confirmation information corresponding to each tendency pattern is also displayed. Is done. In FIG. 6, K1 and K2 are an upper limit value and a lower limit value, respectively, and T is a median value.

  In the present embodiment, a graph of statistical processing results in which a trend pattern is output, cause information, countermeasure information, and countermeasure confirmation information are displayed. You may make it display a graph, cause information, and countermeasure information.

Thus search to cause information given on historical trends patterns, by countermeasure information and the correction verification information is displayed, quality administrator, the statistical processing result of the new measurement value group, certain If there is a trend pattern, it is possible to search and display the corresponding historical trend pattern, sets the most appropriate measures for measurement site a new trend pattern occurs.

  In the present embodiment, the list display of the components constituting the vehicle (the list in the tree structure) is performed by selecting the list display mode via the input device 20 to display the list of the components constituting the vehicle on the display 30. A list can be displayed (see FIG. 3).

  As described above, when the CPU 12 displays an image of a component having a hierarchical structure (in this embodiment, a tree structure), the image of the component having the component information with the management attention flag as the evaluation result is displayed. In order to make the color different from the normal display color, for example, the background color of the image information is changed from white to red so as to call attention. As a result, when various component parts constituting the vehicle are displayed in a list as in a tree structure, the quality manager configures the vehicle if image information with a color for alerting is displayed. It is possible to visually recognize which component has a problem among the components to be performed. As a result, it is possible for the quality manager to take early measures against the component parts having problems. In addition, instead of color display, in order to call attention, the display image of the component having the component information with the management attention flag as the evaluation result may be flash-displayed. Is not limited. In addition, for example, a warning mark such as an X mark or a Δ mark may be displayed on the image information of the component.

  Further, in the present embodiment, it is possible to capture a measurement value group of a measurement site in real time with respect to a vehicle component, and it is also possible to collect accuracy measurement information once filed. In this way, it is possible to centrally manage accuracy measurement information regarding vehicle components.

  Further, in the present embodiment, the tendency pattern is grasped, the characteristic is grasped by the cause information, the countermeasure information for the tendency pattern can be compared with the tendency of the current (new) accuracy measurement information, and it will occur in the future. Predict possible malfunctions and take proactive measures. Further, since know-how information such as countermeasure information is accumulated, it is possible to compensate for the lack of experience that occurs due to the change of the quality manager, and to standardize management.

The vehicle body accuracy trend management system configured as described above has the following features.
(1) The vehicle body accuracy trend management system of the present embodiment uses a plurality of measurement values (hereinafter referred to as measurement value groups) measured by inspections provided in various processes of vehicle body manufacture for each measurement region (inspection item). An input device 20 and a communication unit 18 (input means) for inputting together with the measurement time, and a measurement value database 56 for storing the input measurement value group in time series for each measurement site are provided. The vehicle body accuracy trend management system performs statistical processing of the measurement value group for each measurement site (inspection item), and calculates an average value and standard deviation for each predetermined time unit or an average value for each predetermined time unit. A processing device 10 (statistical processing means) that outputs the maximum value and the minimum value of the measured values is provided. Furthermore, the vehicle body accuracy trend management system includes a display 30 (output means) that graphs the results of the statistical processing in a time series and outputs the graph and the management value (reference value) of the measurement site.

  As a result, statistical processing is performed for each measurement site on the measurement value group measured in the inspections provided in various processes of vehicle body manufacturing, and the trend pattern in which the statistical processing results are graphed in time series, and the measurement site Therefore, the quality manager can predict signs of abnormality in the vehicle body accuracy. As a result, quality can be improved and development / management costs can be reduced.

  (2) The system includes an input device 20 (trend pattern countermeasure information) for inputting cause information for generating a trend pattern drawn by a graph of statistical processing results of the processing apparatus 10 (statistic processing means) and countermeasure information for eliminating the trend pattern. A trend pattern correspondence information database 54 for storing the input cause information, the input cause information, and the countermeasure information in association with the trend pattern. In addition, the display 30 (output means) of the vehicle body accuracy tendency management system displays a newly obtained tendency pattern at a specific measurement site (inspection item), and displays the measurement site in the trend pattern correspondence information database 54. The past trend pattern, cause information and countermeasure information related to the trend pattern are output.

As a result, it is possible to efficiently obtain cause information and countermeasure information corresponding to a new trend pattern, and it is possible to quickly take measures to improve accuracy.
(3) The vehicle body accuracy trend management system of the present embodiment evaluates the tendency pattern drawn by the graph for each measurement site (inspection item) based on comparison with a standard value or a management value (reference value). (Evaluation means) is provided and stored in the measurement value database 56 in association with the measurement value group of the tendency pattern of the evaluated measurement site. As a result, it is possible to obtain an evaluation of the trend pattern obtained in the past at the measurement site (inspection item).

  (4) In the vehicle body accuracy trend management system of the present embodiment, the display 30 (output means) can output a list of components used for vehicle body manufacture, and when the list is output, An evaluation of the tendency pattern related to the measurement site is displayed for related components. As a result, the quality manager can take early countermeasures against the component parts having problems, and can immediately determine which component part takes an action for improving the vehicle body accuracy.

In addition, you may change embodiment of this invention as follows.
In the above embodiment, when the evaluation is performed, the color display is simply changed. However, the management value that is the reference value or the standard value has a magnitude relationship, that is, a plurality of values that have levels. Depending on which level the statistical processing result has exceeded, the processing apparatus 10 (evaluation means) may perform class evaluation of the trend pattern according to the level. In this case, for example, when the component 30 is displayed in a list by a tree or the like, the display 30 (output means) displays the class evaluation of the tendency pattern related to the measurement site for the component related to the measurement site. In this case, the class evaluation is performed by changing the flash interval of the image for each class or by class by color. In this way, it is possible to determine which component causes an action for improving the vehicle body accuracy depending on the class.

  When storing the trend pattern in the trend pattern correspondence information database 54, an identification code for identifying the trend pattern may be added and stored in the trend pattern correspondence information database 54. In this case, when searching for a trend pattern, by inputting this identification code, it is possible to easily search for a corresponding past trend pattern.

In the embodiment, the statistical processing result or the like is output to the display 30, but it may be output to the printing apparatus 40 as an output unit.
In the above-described embodiment, the component parts are displayed in a tree structure. However, the component parts may be in a table format or may be in another list display format.

The block diagram which showed roughly the principal part of the vehicle body accuracy tendency management system of one Embodiment. Explanatory drawing which shows the example of the structural component of a hierarchical structure. Explanatory drawing which shows the image of the component of hierarchical structure shown in FIG. FIG. 3 is an explanatory diagram on a display screen 70 of the display 30. FIG. 3 is an explanatory diagram on a display screen 70 of the display 30. FIG. 3 is an explanatory diagram on a display screen 70 of the display 30. (A)-(e) is explanatory drawing of a tendency pattern.

Explanation of symbols

10 ... Processing device (statistical processing means, evaluation means),
12 ... CPU,
14 ... ROM,
16 ... RAM
18 ... communication department,
20... Input device (input means, trend pattern countermeasure information input means),
30: Display (output means),
40: Printing device (output means),
50 ... Storage device,
52 ... Basic information database,
54 ... Trend pattern correspondence information database,
56 ... Measured value database.

Claims (4)

Input means for inputting a plurality of measurement values (hereinafter referred to as measurement value groups) measured in inspections provided in various processes of vehicle body manufacture together with measurement times for each inspection item;
A measurement value database for storing the input measurement value group in time series for each inspection item;
Statistical processing for performing the statistical processing of the measurement value group for each inspection item, and calculating the average value and standard deviation for each predetermined time unit, or the average value and the maximum value and the minimum value of the measurement value for each predetermined time unit Means,
Trend pattern countermeasure for inputting cause information for generating a trend pattern drawn by the statistical processing result graph of the statistical processing means, countermeasure information for eliminating the tendency pattern, and countermeasure confirmation information for which the countermeasure result has been confirmed Information input means;
A trend pattern correspondence information database that stores the cause information, countermeasure information, and countermeasure confirmation information that are input in association with the trend pattern;
Graphing the results of the statistical processing in a time series, comprising output means for outputting the graph and a reference value of the inspection item ;
When there is a trend pattern obtained based on a new measurement value group in a specific inspection item, the output means, from among the past trend patterns related to the inspection item in the trend pattern correspondence information database, A vehicle body accuracy trend management system that searches for similar tendency patterns and outputs cause information, countermeasure information, and countermeasure confirmation information related to the trend patterns . For each of the inspection items, an evaluation means for evaluating whether or not the tendency pattern shows an abnormal tendency by comparing the measured value constituting the tendency pattern drawn by the graph with a reference value,
2. The vehicle body accuracy trend management system according to claim 1, wherein the tendency pattern is stored in the measurement value database in association with the measurement value group of the tendency pattern of the evaluated inspection item. The output means is capable of outputting a list of components used for vehicle body manufacturing,
The vehicle body accuracy trend management system according to claim 2, wherein when the list is output, evaluation of a tendency pattern related to the inspection item is displayed for a component related to the inspection item. The evaluation means categorizes the tendency pattern according to which reference value deviates from the tendency pattern based on the comparison with the reference value,
The output means, when the list is output, displays an identification according to a classified class of a tendency pattern related to the inspection item for a component related to the inspection item. 3. The vehicle body accuracy trend management system according to 3.

Images