JP2800403B2 - Necessary parts prediction support system for prototype - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION [Industrial Application Field] The present invention is based on a given prototype unit name and data on the number of trial production scheduled in a prototype factory or the like that prototypes a large number of various prototype units. The present invention also relates to a device for assisting in predicting the names and quantities of parts required for the trial production as accurately and easily as possible.

[Prior art] At the current prototype plant, the prototype orderer is required to submit a list showing the names of parts required for trial production and the quantity of each prototype unit for each prototype unit. It predicts the part names and number of parts required by the whole.

[Problems to be Solved by the Invention] However, due to the nature of the prototype, the exact part name and the number of parts are often not known until the prototype is actually produced, and the prediction list by the prototype orderer may be inaccurate. For example, at the stage when a prototype was planned, it was predicted that only about 10 3mm screws would be required, but during the design process, it became 8 4mm screws, and once the prototype was produced, the next trial produced 6 5mm screws. is there.

In this case, it is very difficult to re-estimate the exact quantity every time there is a change, and if this is strictly imposed on the prototype orderer, the burden on the orderer will be greatly increased.

As a method for solving this problem, it is conceivable to record the component names and the number of components actually required as a result of the trial production and calculate the required component names and the number of components in the next trial production based on this data.

However, it is usually not possible to immediately use the actual data as data for the next trial production. For example, it is often the case that drilling a hole in a part for prototyping is inappropriate and the hole is drilled again in the same new part. In such a case, the number of components actually required in the present trial production should be one in the next trial production.

Necessary components are predicted at regular intervals, for example, monthly. Therefore, parts that are not required as performance data may actually be included in the performance data for the last month. In such a case, if the forecast is re-estimated at the next trial production based on the actual data for this month, necessary parts will be missing.

Under the circumstances described above, simply making a prediction based on actual data in the future is not appropriate.

Therefore, the present invention makes the process of estimating the necessary components including such complicated factors and the number of the components as easy as possible,
Another object of the present invention is to develop a support device that can predict an accurate quantity.

[Means for Solving the Problems] In order to solve the above problems, the present inventors have developed a prediction support device whose conceptual diagram is shown in FIG.

That is, the prediction support device is composed of prototype units A _I , A _J …
Each component has a component configuration master file 4 that stores component names a _i , a _j , etc., which are expected to be necessary for a prototype of the unit at the present time, and their quantities n _Ii , n _Ij,.

Further, there is a prototype production number input means 2 for inputting unit names A _I , A _J ... Scheduled to be produced in an arbitrary period and their quantities N _I , N _J.

Further, based on the unit names and their quantities input by the planned prototype number input means 2 and the storage data of the parts configuration master file 4, the unit names A _I , A scheduled to be prototyped within the certain period of time. _J … and its quantities N _I , N _J …
And part names expected to be required for prototype production of the unit
a _i, has a _j ... and its quantity _{n Ii × N I, n Ij} × N I ... predictive list computing means 12 for computing for each prototype units.

The support device of the present invention further includes unit names A _I , A _J , etc. actually produced within the above-mentioned fixed period, component names a _i , a _j , etc. actually used for the trial production of the units, and their quantities.
M _Ii, an actual list input section 14 for inputting the M _Ij ... for each prototype unit compares the operation result of the prediction list computing means 12, and an input result by the actual list input section 14, and displays the difference The difference list output means 16, the display means 6 for displaying the name of the predicted required parts stored for each prototype unit based on the data stored in the component configuration master file 4 and the quantity thereof, and the display of the display means 6 It has at least data input means 8 for inputting correction data with reference to it.

[Operation] According to the support device having the configuration described above,
The component names a _i , a _j , etc. predicted to be necessary and the numbers n _i , n _j , predicted required are previously input to the component configuration master file 4 for each prototype unit name A _I , A _J. . Therefore, by inputting the unit names A _I , A _J … and the numbers N _I , N _J … that are scheduled to be prototyped within a certain period by means 2, the parts a _i expected to be required during that period are input. , a _j … number n _Ii × N _I , n _Ij × N _I
…, N _Ji × N _J … are calculated for each unit.

On the other hand, the data prototyped within the same period is input using the means 14. Here, for each unit name, the required part names a _i , a _j ... And the required numbers M _Ii , M _Ij .

Then, the difference between the predicted value and the actual value is calculated, and the difference is output by the difference list output means 16.

Here, this difference appears where the predicted quantity and the actual quantity do not match. The cause is, for example, a. If the required part name is different (for example, n _Ii
Was predicted to be zero and n _Ij was predicted to be 1, while M _Ii was predicted to be 1.
M If _Ij is like zero), b., Or if the estimated necessary number was incorrect (e.g. n _Ii
Is expected to be 1 and M _Ii is 2), c. If the number of units planned for trial production is incorrect, d. E. If the required components included in the results list for the previous period are partly required for trial production for the next period and have not yet been provided for trial production, e. There may be a case where more than the finally required number of parts are required during trial production due to a design error or a processing error in some of the necessary parts included in the list.

The difference list shows a result obtained by combining these various factors. The operator refers to this difference list, and among the causes of the various causes a to e, the causes a and b,
That is, it is possible to relatively easily obtain information necessary for determining whether or not the difference based on the deviation of the predicted value in the component configuration master file 4 exists. That is, the present support apparatus can relatively easily determine whether or not the operator needs to correct the data stored in the component configuration master file 4 with sufficient support.

If correction is necessary, correct data can be easily corrected using the display means 6 and the data input means 8, so that the next prediction result is corrected so as to be more accurate. Will go on.

In this way, according to the present invention, useful information for prediction is sufficiently supplied to the operator to well support the prediction process.

[Example] An example of the present invention will be described below. The hardware configuration of the support device of the present embodiment is a general computer system including a central processing unit, a storage device, a display terminal, and a keyboard, and is not shown.

A part configuration master file shown in FIG. 4 is prepared in the storage device of this support apparatus. This file 4 contains the names of the units that can be prototyped and the units required for the trial production of the units. The data of the brazing part name and the quantity thereof are stored. This data is updated as described below, and stores the most accurate prediction data at the present time.

When newly registering data relating to a unit that is not stored in the part configuration master file 4, the display unit 6 displays the data of the registered unit that is most similar to the newly registered unit. By making the correction according to 8, the new registration work can be facilitated and the accuracy of data input can be improved.

The data structure in the component configuration master file 4 is not limited to a two-stage structure of units and parts as illustrated in FIG. 1, but may have a multi-stage structure as shown in FIG. Also, when a prototype is ordered not in units of units but in units of subassemblies, component data may be input in units of subassemblies. Furthermore, when a replacement part or the like is required, it may be registered for each part. Second
In the case of the figure, a unit, a sub-assembly, an assembly or a part itself, which is a registered unit, is one unit of a prototype and is a kind of a prototype unit in a broad sense.

In this support device, the planned prototype quantity is input from the planned prototype input unit 2. As shown in FIG. 3, data 32 scheduled to be trial-produced at that time is inputted for each time and unit name as the prototype production quantity, as shown in FIG. FIG. 3 shows an example of the scheduled number data.

Now, when the above data is input, it is possible to calculate how many units and how many units are to be prototyped at a certain time, and what kind and how many parts are required for that purpose. Is done. The predicted required number is calculated by the equation in the figure.

On the other hand, from the keyboard, data is input as to which unit was actually prototyped at that time and which parts and how many were required.

Then, the difference between the predicted data and the actual data is output by the difference list output means 16. If the individual performance list is accurate, the data in the part where the difference is not zero should have incorrect prediction data, which may be corrected using the data input means 8.

However, as described above, the performance data is not absolute data for correcting the component configuration master 4.

For example, if the same part is newly used as a result of destroying a part due to a processing error, design error, etc., the result list will be two, and even if one is output in the difference list, If this is used to correct the component configuration master, it will be excessively predicted in the next prediction.

In addition, even when the number of parts that are zero in the performance list is actually the parts that were included in the previous term, it is strange to correct the component configuration master 4 with the performance.

Therefore, in the present embodiment, in order to make it easy to find a deviation of data in the pure component configuration master file 4, a difference list correction data input means 10 for compensating for a difference generated based on the above various special circumstances is provided. I have. When the means 10 is added, the operation of specifying the data to be corrected in the component configuration master file 4 is further facilitated.

When the difference based on such special circumstances is compensated for, the compensated difference list is extracted and displayed based on the data deviation in the component configuration master file 4. Therefore, the operator can very easily find the data to be corrected and input and correct the data.

In the present support device, as described above, the data in the component configuration master file 4 is learned and updated every period, and as a result, the most accurate prediction data is always stored in the component configuration master file 4. Thus, the data predicted using this becomes extremely accurate.

Therefore, problems such as shortage or excessive parts frequently occurring in the current prototype factory are reduced as much as possible, and rational parts management becomes possible.

[Effects of the Invention] According to the present support device, it is possible to accurately and easily predict the future parts to be used and the quantity thereof at the trial production site, and it is possible to minimize the occurrence of unreasonable and wasteful production at the trial production site. . In addition, man-hours and processes required for the production of parts can be accurately predicted, and the management of the prototype plant can be made more rational than ever.

[Brief description of the drawings]

FIG. 1 is a diagram conceptually showing a system configuration of a prediction support apparatus of the present invention, FIG. 2 is a diagram showing an example of a data structure of a component configuration master file, and FIG. It is.

Continuation of the front page (56) References JP-A-2-185353 (JP, A) JP-A-1-135452 (JP, A) JP-A-63-312050 (JP, A) JP-A-61-117604 (JP, A) JP-A-3-58169 (JP, A) Japanese Utility Model Application Laid-Open No. 64-31463 (JP, U)

Claims (1)

(57) [Claims] 1. A part configuration master file for storing a part name and a quantity of a part expected to be necessary for a trial production of the unit at present, and a trial production scheduled for an arbitrary period. Based on the unit name and its quantity input by the predetermined number of prototypes input unit and the storage data of the parts configuration master file, within the predetermined period, Prediction list calculating means for calculating for each prototype unit the name of the unit scheduled to be prototyped and the quantity thereof, and the name of the part and the quantity predicted necessary for the trial production of the unit; Means for inputting the unit name, the part name actually used for the trial production of the unit, and the quantity thereof for each prototype unit; The difference between the calculation result by the prediction list calculation means and the input result by the performance list input means, and a difference list output means for displaying the difference, based on the storage data of the component configuration master file,
Display means for displaying the names of parts required for prediction and their quantities stored for each prototype unit; and data input means for inputting correction data with reference to the display on the display means. Prediction support device.