JPH06162300A - Quality control device - Google Patents

Abstract

PURPOSE:To quickly find out a countermeasure effective in recovery when quality abnormality occurs and to automatically execute it. CONSTITUTION:The occurrence of the quality abnormality is judged by a quality tendency abnormality judging means 18A and an individual quality abnormality judging means 18B based on the measured data of respective inspecting devices 111, 112,... and 11n and an occurred quality abnormality item and the countermeasure which was actually effective in dissolving it are inputted to an information analysis means 30. The information analysis means 30 stores the suitable countermeasures for every classified the respective quality abnormality items based on input data, calculates a recovery propability by the countermeasure and outputs the data to a countermeasure display means 40 and a countermeasure command means 50. The countermeasure display means 40 displays the data on an outside and the countermeasure command means 50 inputs a countermeasure command to an appropriate working machine so as to automatically execute the countermeasure decided as the most appropriate based on the data.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a quality control device for analyzing effective measures for recovery of a quality abnormality occurring in a workpiece or the like.

[0002]

2. Description of the Related Art Generally, in the quality control of products, it is inspected by a checker or manually whether or not each product has a quality abnormality, and when a quality abnormality is found, it is restored. This is done by finding and implementing effective measures for Here, the countermeasures against the above-mentioned quality abnormality are tried in order from the one generally recognized as the most effective for the content of the quality abnormality.

[0003]

The above-mentioned conventional quality control system has the following problems to be solved.

A) Effective countermeasures for recovering from a quality abnormality vary depending on various conditions such as the contents of the processing steps of the product. Therefore, even measures that are generally considered to be effective are not always appropriate. In such a case, it takes a long time and a great deal of work to find a truly appropriate measure and execute it. In particular, when there are a wide variety of inspection items, it is very difficult to quickly find the most effective countermeasure for the quality abnormality item that has occurred, and improvement thereof is a major issue.

B) As described above, since it is conventionally impossible to retrieve a reliable countermeasure, it is difficult to automatically take an appropriate countermeasure in response to a quality abnormality when it occurs. That is, conventionally, automation of countermeasure implementation when a quality abnormality occurs is delayed, and its development is desired.

C) Conventionally, countermeasures are taken only when an unacceptable quality abnormality actually occurs in a quality inspection target such as the above-mentioned product. Excluded. Therefore, if such an unacceptable quality abnormality can be predicted before it occurs and measures can be taken to prevent it, the production efficiency will be dramatically improved.

In view of such circumstances, the present invention provides a quality control device for promptly finding an effective countermeasure for restoration of a quality abnormality and automatically implementing it, and more preferably, each quality inspection. It is an object of the present invention to provide a quality control device capable of predicting an unacceptable quality abnormality of an object before it occurs and appropriately taking measures to prevent the occurrence.

[0008]

SUMMARY OF THE INVENTION The present invention is an apparatus for controlling the quality of a product produced by a production apparatus, wherein the information analysis means and the item of the quality abnormality actually occurred are analyzed as described above. Quality abnormality input means for inputting to the means, measure input means for inputting a measure effective for recovery of the quality abnormality to the information analysis means, measure display means for displaying an analysis result of the information analysis means, and the information Measures suitable for the current quality abnormality are determined based on the analysis result of the analysis means, and measure command means for outputting a measure command to the production apparatus so as to execute the measure, the information analysis means, Each time a quality abnormality item and a countermeasure corresponding thereto are inputted from the abnormality input means and the countermeasure input means, a countermeasure storage means for learning and calculating information regarding the effectiveness of each countermeasure and storing the information.
When a quality abnormality item is input from the quality abnormality input means, there is provided a countermeasure organizing means for outputting information stored corresponding to the quality abnormality item to the countermeasure display means and the countermeasure command means. (Claim 1).

Here, the inspection means may be single or plural.

The quality abnormality input means is an inspection means for collecting information necessary for determining the quality abnormality of the quality inspection object, and whether the quality abnormality has occurred based on the information collected by this inspection means. It is more preferable to include a quality abnormality determining unit that determines whether or not a quality abnormality has occurred and inputs the quality abnormality item to the information analyzing unit (claim 2).

Further, the information storage means for sequentially storing the information collected by the inspection means is provided, and the quality abnormality determination means determines the abnormality itself of the quality of the quality inspection object inspected by the inspection means. In the case where it is determined that a quality abnormality has occurred, the individual quality abnormality determining means for inputting this to the information analyzing means as the quality abnormality item,
The tendency of the quality change is analyzed based on the information of the past multiple times stored in the information storage means, and when the quality tendency is determined to be abnormal, the quality tendency is input to the information analysis means as the quality abnormality item. By including the abnormality determining means, a more excellent effect as described below can be obtained (claim 3).

When a plurality of inspection means are provided, it is particularly effective to provide the individual quality abnormality determination means for each inspection means (claim 4).

On the other hand, as the countermeasure inputting means, an information output means for outputting a signal to that effect to the information analyzing means when the quality abnormality is restored by the countermeasure command output by the countermeasure commanding means is the processing device. It is more desirable to provide in (Claim 5).

[0014]

In the apparatus according to the first aspect, the item of the quality abnormality that actually occurred is input to the information analysis means, and the countermeasure that is actually effective in recovering the quality abnormality is input. Each time such an input is made, based on the information, information regarding the effectiveness of each measure corresponding to the above-mentioned quality abnormality item (that is, how effective is the recovery of the quality abnormality) is learned and calculated. , Remembered.

When a quality abnormality similar to the above-mentioned item occurs and the item is input from the quality abnormality input means to the information analysis means, each countermeasure content stored corresponding to the quality abnormality item and its countermeasure contents are stored. Appropriate countermeasures are determined by the countermeasure instruction means on the basis of the information on the effectiveness, and a countermeasure instruction signal for executing the countermeasures is output to the production apparatus, and each of the above information is displayed on the countermeasure display means. As a result, a countermeasure suitable for the above-mentioned quality abnormality is automatically executed on the production device side, and even if the countermeasure cannot be automatically executed, the user can display the countermeasure display means. By referring to the displayed contents, it is possible to quickly and easily find the above countermeasures and manually implement the countermeasures.

In the apparatus according to the second aspect, the information necessary for determining the quality abnormality of the quality inspection object is collected by the inspection means, and based on this information, the quality abnormality determination means determines whether or not the quality abnormality has occurred. It is automatically judged. When an abnormality has occurred, the quality abnormality item is automatically input to the information analysis means.

Further, in the apparatus according to the third aspect, regarding the determination of the quality abnormality, not only the abnormality itself of the quality of the quality inspection object inspected by the inspection means is determined, but also the information storage means stores it. Also, the tendency of the quality change is analyzed based on the information of the past multiple times, and when the quality tendency is determined to be abnormal, the content thereof is input to the information analysis means as the quality abnormality item. Therefore, by taking a suitable measure against the quality abnormality relating to the quality tendency abnormality, it is possible to prevent the occurrence of an unacceptable quality abnormality in each quality inspection object.

When the quality control apparatus according to the present invention comprises a plurality of inspection means, the individual quality abnormality determination means is provided for each inspection means. Therefore, the determination is made from the information collected by these inspection means. The possible abnormality judgment items peculiar to each inspection means are judged by each inspection means, and the judgment result is input to the information analysis means.

In the quality control device according to the present invention, when the quality abnormality is restored by the countermeasure command output from the countermeasure command means to the processing device, a signal to that effect is output from the information output means of the processing device. It is automatically input to the information analysis means.

[0020]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS A first embodiment of the present invention will be described with reference to FIGS.

The quality control device shown in FIG.
A quality inspection target is a product produced by a processing system configured by a plurality of processing machines including a first processing machine M2, a second processing machine M2, ... Means 30, countermeasure display means 40,
And a countermeasure instruction means 50.

The quality abnormality input means 10 comprises n inspection machines 111, 112, ..., 11n, an information collecting means 14, an information storing means 16, a quality tendency abnormality determining means 18A, and an individual quality abnormality determining means 18B. ing.

The inspection machines 111, 112, ..., 11n are
Information for measuring the information (for example, various sizes and weights) necessary for judging the quality of the products sequentially carried in from the processing system, and measuring data output units 121, 122, ... 12n for outputting the measured data. It has each. The information collecting means 14 includes the inspection machines 111, 112,
, 11n, and the information storage means 16 sequentially takes in the collected data, classifies each of the inspection machines 111, 112, ..., 11n, and accumulates the past data. While remembering.

The quality tendency abnormality judging means 18A analyzes the current tendency of the change of the data based on the measurement data stored in the information storing means 16, and the analyzed quality tendency is If it indicates that there is a possibility that an unacceptable quality abnormality will occur in the near future, it is judged that this quality tendency is abnormal, and the content of this quality tendency abnormality is analyzed by the information analysis means 3
0 is input as a quality abnormality item. Specifically, the quality tendency abnormality determining means 18A is configured to determine that there is an abnormality in the quality tendency when the analyzed quality tendency corresponds to any of the items shown in Table 1 below.

[0025]

[Table 1]

In this table, for example, "latest average value 9" means an average value calculated 9 times in the past from the present, and similarly "latest area width 9" means the present. It means the area width calculated 9 times in the past.

The individual quality abnormality determining means 18B determines whether or not an unacceptable quality abnormality has occurred in the product based on the presently collected data, regardless of past data (for example, the measurement dimension is preset). If it is determined that a quality abnormality has occurred, it is input to the information analysis means 30 as a quality abnormality item.

On the other hand, each of the processing machines M1, M2, ... Has a command input section 81, 82, ... And an information output section 91, 92 ,.
Are provided respectively. Command input section 81, 82 ...
Receives the countermeasure command signal output from the countermeasure commanding means 50 described later, and causes the processing machines M1, M2, ... To carry out this countermeasure (that is, a countermeasure for eliminating the quality abnormality). , 92, ... Outputs an information signal to that effect to the information analysis means 30, which will be described later, when the quality abnormality is eliminated (that is, restored) by the implementation of the above measures.

The countermeasure input means 20 is composed of a keyboard or the like, and when the quality abnormality occurs, the countermeasure is manually operated from the outside, and when the countermeasure is effective for eliminating (restoring) the quality abnormality, the countermeasure content is managed. This is for a person or the like to manually input to the information analysis means 30 by operating a key.

The information analysis means 30, as shown in FIG.
A quality tendency abnormality countermeasure storage means 32A, an individual quality abnormality countermeasure storage means 32B, and a countermeasure organizing means 34 are provided.

The quality tendency abnormality countermeasure storage means (countermeasure storage means) 32A includes quality abnormality items (that is, items relating to abnormality in quality tendency) input from the quality tendency abnormality determination means 18A through the countermeasure arrangement means 34, and the quality abnormality. As a proper countermeasure against the above, the countermeasures input from the information output units 91 and 92 and the countermeasure input means 20 after the occurrence of the quality abnormality are taken in, and the effective countermeasures are stored for each quality abnormality item, and the countermeasures are stored. Every time the measure is taken in, the probability that the above-mentioned quality tendency abnormality can be eliminated by implementing each measure (that is, the restoration probability) is newly calculated as a value indicating the effectiveness of the measure, and this is updated and stored. . The recovery probability P due to the implementation of each measure is N, which is the total number of times that effective measures for the above-mentioned quality abnormality item are input.
Of these, the number of times the target measure was input (actually, the number of times the measure item number corresponding to the above measure was input)
Then, it is given by the equation P = m / N.

However, the restoration probability P is not limited to the one given by the above formula, and the probability may be calculated by increasing the weighting for newer data.

The individual quality abnormality countermeasure storage means (countermeasure storage means) 32B stores quality abnormality items (that is, items relating to the abnormality of the quality itself of each product) input from the individual quality abnormality determination means 18B through the countermeasure arrangement means 34. ,
As an appropriate countermeasure against this quality abnormality, the countermeasure input from the countermeasure input means 20 after the occurrence of the quality abnormality is taken in, and the countermeasures effective for each quality abnormality item like the quality tendency abnormality countermeasure storage means 32A are taken. In addition to the storage, each time the countermeasure is taken in, a recovery probability similar to the above is newly calculated and updated and stored.

When the quality abnormality item is input from the quality tendency abnormality determining means 18A or the individual quality abnormality determining means 18B (that is, when the quality abnormality occurs), the countermeasure organizing means 34 corresponds to the quality abnormality item. Then, the countermeasure data and the restoration probability data stored in the quality tendency abnormality countermeasure storage means 32A or the individual quality abnormality countermeasure storage means 32B are called and output to the countermeasure display means 40 and the countermeasure command means 50.

The countermeasure display means 40 is composed of a CRT, a printer or the like, and receives a command signal from the countermeasure arrangement means 34, and externally displays data relating to the above-mentioned quality abnormality items, countermeasures, restoration probability and the like.

The countermeasure command means 50 is the above-mentioned countermeasure organizing means 3
If the amount of accumulated data output from 4 is above a certain level, it is judged that this information is sufficiently reliable, and based on this information (that is, each countermeasure item and the restoration probability corresponding to it) In addition to selecting the most appropriate countermeasure (specifically, the countermeasure with the highest recovery probability) for the quality abnormality that is currently occurring, the countermeasure that can be automatically performed by the processing machine itself (for example, automatic tool change or In the case of coolant temperature adjustment, dress dimension correction, etc.), a countermeasure command signal is output to the command input section 81 (82, ...) Of the processing machine M1 (M2, ...) In order to take the countermeasure by the processing machine itself. To do.

Next, the operation of this device will be described.

In FIG. 1, the products processed by the first processing machine M1, the second processing machine M2, ... Are the first inspection machines 111,
The second inspection machine 112, ... Is conveyed to the nth inspection machine 11n in order, and the predetermined measurement is performed by each of the inspection machines 111, 112 ,. These inspection machines 111, 112,
, 11n are collected by the information collecting means 14 and sequentially stored in the information storing means 16.

The quality tendency abnormality judging means 18A statistically analyzes the quality tendency based on the present data and the past data stored in the information storage means 16 and checks whether or not there is any abnormality. To be done. At the same time, the individual quality abnormality determining means 18B checks, based on the data currently collected, whether or not there is an abnormality in the quality of the product from which this data is collected.

If the quality tendency abnormality determining means 18A or the individual quality abnormality determining means 18B determines that there is an abnormality, the quality abnormality item is input to the countermeasure organizing means 34 of the information analyzing means 30. It

As a general rule, the information analysis means 30 calls the data corresponding to the inputted quality abnormality item and the recovery probability from the quality tendency abnormality countermeasure storage means 32A or the individual quality abnormality countermeasure storage means 32B. At the beginning of operation, there is no data that has been learned and stored, so in this case, the countermeasure display means 40 exceptionally displays the above-mentioned quality abnormality item and a message indicating that there is no accumulated data corresponding to this quality abnormality item. Let Further, in the countermeasure command means 50, since the amount of information sent from the information analysis means 30 is small and it is determined that the information is not reliable, the countermeasure command is not output to each of the processing machines M1, M2, .... Therefore, at this point, the user refers to the above-mentioned quality abnormality item, finds a suitable countermeasure for this by himself, and tries this. When the quality abnormality is eliminated by taking this measure, the user operates the measure input means 20 to manually input the measure to the information analysis means 30 as an appropriate measure. .

In this way, abnormal quality occurs many times,
When appropriate measures are taken and are input to the information analysis means 30, the quality trend abnormality countermeasure storage means 32A and the individual quality abnormality countermeasure storage means 32B accumulate countermeasure data corresponding to each quality abnormality item. At the same time, the recovery probability due to the implementation of each measure will be updated to a more reliable value.

As described above, when a certain amount of sufficient data is accumulated, a quality abnormality occurs, and the quality tendency abnormality determining means 1
8A and individual quality abnormality judging means 18B to countermeasure organizing means 3
When a quality abnormality item is input to 4, the measure display means 4 is different from the initial case where there is almost no data as described above.
On the screen 0, useful data for finding an appropriate countermeasure is displayed as shown in FIG. 3, for example.

The screen display example shown in FIG. 3 is displayed on the countermeasure display means 40 when an abnormality occurs in the quality tendency analyzed based on the data output from the after gauge device which is one of the inspection machines. It shows the contents.
This display indicates that in the past, effective measures against the above-mentioned quality tendency abnormality were input 10 times in total, 6 times of them were measures of exchanging a grindstone, 2 times of adjustment of spindle cutting speed, 1 This is the display when the measures for removing the coolant impurities and the remaining one time are entered.

On the other hand, since the same data as the above display data is input to the countermeasure command means 50, the countermeasure command means 50 provides the countermeasure with the highest recovery probability (in the example of FIG. 3, "replacement of grindstone"). It is selected as the optimum measure, and the measure command means 50 outputs a measure command signal to the command input section of an appropriate processing machine so as to implement this measure. For example, when a command signal is input from the countermeasure command means 50 to the command input unit 81 of the first processing machine M1, the grindstone replacement work is automatically performed in this first processing machine M1.

If this countermeasure is appropriate, that is, if the quality abnormality is actually eliminated by the above-mentioned grindstone replacement, the countermeasure type and the countermeasure are effective from the information output unit 91 of the first processing machine M1. The information signal to the effect that it has been input to the information analysis means 30. As a result, the number of times of input of each measure and the recovery probability stored in the quality tendency abnormality measure storage unit 32A are recalculated, and this new data is updated and stored. For example, when the quality abnormality is eliminated by actually exchanging the grindstone while the screen shown in FIG. 3 is displayed, when an information signal to that effect is input from the information output unit 91 to the information analysis unit 30. The recovery probability of this "1. Grindstone replacement" is currently 60.0
% To {(6 + 1) / (10 + 1)} × 100 = 63.6
(%) Will be updated.

If the countermeasure cannot be automatically implemented by the processing machine itself (for example, cleaning of parts or adjustment of knobs), the countermeasure is not automatically implemented according to the countermeasure instruction, but is used. By looking at the display of the countermeasure display means 40, the person can know the countermeasure with the highest probability for eliminating the quality tendency abnormality that is currently occurring. Therefore, the user himself can find out the countermeasure and manually execute the countermeasure, so that the quality abnormality can be quickly dealt with.

In this case, the user follows the display on the screen and
Select a measure that was actually effective and use this as measure input means 2
The operation of 0 may be input to the quality tendency abnormality countermeasure storage unit 32A. As a result, similarly to the case of the automatic implementation, the number of times of input of each measure and the recovery probability stored in the quality tendency abnormality measure storage unit 32A are recalculated, and this new data is updated and stored. Become.

As described above, in this apparatus, the quality abnormality items judged by the quality tendency abnormality judging means 18A and the individual quality abnormality judging means 18B and the countermeasures actually effective in eliminating the quality abnormality are described. Are input to the information analysis means 30, and based on the input data, the information analysis means 30 learns and stores the contents of countermeasures corresponding to each quality abnormality item and the restoration probability due to the implementation of the countermeasures, and the quality. Since it outputs to the countermeasure command means 50 and the countermeasure display means 40 every time an abnormality occurs, the countermeasure command signal output from the countermeasure command means 50 automatically takes the most suitable countermeasure against the above-mentioned quality abnormality on the processing machine side. The measure display means 40 provides the user with data useful for searching the most effective measure against the currently occurring quality abnormality. It can be.

In addition, in the apparatus of this embodiment, not only the abnormality of the quality itself of each product is determined as the quality abnormality item, but also the tendency of the quality change of the product is analyzed based on the data of the past several times. This quality tendency abnormality is also determined and appropriate measures are displayed, so this quality tendency abnormality is eliminated, that is, the cause of the abnormality in the product quality itself is removed in advance. By doing so, it is possible to prevent the occurrence of the abnormality of the quality itself, and it is possible to further increase the production efficiency.

Further, while the countermeasures are being automatically executed, it is possible to display which countermeasures are currently being implemented on the countermeasures display means 40 (for example, blinking the number of the corresponding countermeasure). The advantage is that the administrator can easily know which measures are currently being executed.

Next, a second embodiment will be described with reference to FIG.

As shown in the first embodiment, when a large number of inspection machines 111, 112, ..., 11n are used, the larger the number of inspection machines 111, 112 ,.
There is a wide variety of items for which it is necessary to judge individual quality anomalies in the measurement data from, and the structure of the judging means becomes complicated.

Therefore, in the second embodiment, instead of providing the common individual quality abnormality determining means 18B as in the first embodiment, the individual quality abnormality determining unit 131 is provided for each of the inspection machines 111, 112, ..., 11n. , 132, ..., 13n are provided,
.., 11n are used to determine individual quality abnormalities, and the determination units 131, 132 ,.
The individual quality abnormality determination signal output from 3n is arranged by the information organizing means 15 and input to the information analyzing means 30. With such a configuration, even when the number of inspection machines is large and the determination contents are diverse, it is possible to determine each quality abnormality item with a simple configuration as in the first embodiment. Further, even when the number of inspection machines is increased or decreased, or when some inspection machines are replaced, it is almost unnecessary to change the configuration other than the inspection machines, so that the versatility of the entire apparatus is enhanced.

The present invention is not limited to the above embodiments, but the following modes can be adopted as examples.

(1) In each of the above embodiments, the measure display means 40
Although the recovery probability due to the implementation of each countermeasure is shown in the above, the present invention is not limited to this, and information regarding the effectiveness of each countermeasure may be displayed. For example, the absolute number of times each measure has been input as an effective measure may be displayed, or only the order of recovery probabilities due to the implementation of each measure may be displayed. Further, by displaying the item of quality abnormality and the degree of occurrence thereof on the countermeasure display means 40, it is possible to inform the manager at a glance which quality abnormality is likely to occur. In this case, the quality abnormality items may be displayed side by side in descending order of the number of occurrences thereof, or the normal mode and the weighting mode may be provided side by side as selectable display modes, and if the weighting mode is selected, , Multiply the number of quality abnormalities that occurred in the specified inspection machine and the weight point / case for each abnormal item to calculate the total weighted score, and rearrange the quality abnormal items by rearranging in order from the highest score as shown in FIG. You may do it.

(2) In each of the above embodiments, the inspection and abnormality determination of each product are automatically performed, and the determination signal is input to the information analysis means 30. The determination may be performed by an apparatus independent of the information analysis unit 30 or by manual work, and the user may directly input the abnormal quality item to the information analysis unit 30 by operating the keyboard or the like. In this case, the keyboard or the like serves as the quality abnormality inputting means in the present invention.

(3) In the above embodiments, the processing machines M1 and M
The effective countermeasure contents automatically implemented in 2, ... Are input from the information output units 91, 92 to the information analysis means 30, but in the present invention, all the effective countermeasure contents are taken as countermeasures. You may make it input to the information analysis means 30 manually from the input means 20.

(4) In the above embodiment, the countermeasure command is not output when the accumulated data is less than a certain amount, and the countermeasure display means 40 displays a small amount of data as it is. Instead of this, measures that are generally expected to be effective against each quality abnormality are stored in advance in the information analysis means 30 before the above-mentioned device is used, and the accumulated data in this information analysis means 30 is filled to a certain amount. While the measure is not stored, the measure to be stored may be displayed on the measure display unit 40, and the measure command unit 50 may output a measure command signal for executing the measure.

[0060]

As described above, according to the present invention, the following effects can be obtained.

The apparatus according to claim 1 has a quality abnormality item,
Measures that were actually effective in resolving this quality abnormality are input to the information analysis means, and based on this input data, information on measures and their effectiveness corresponding to each quality abnormality item is learned. The calculation and storage are performed, and a countermeasure command is output to the processing device each time a quality abnormality occurs, and information is displayed, so that the production equipment side automatically executes effective countermeasures against the above-mentioned quality abnormality. As a result, the system can be unmanned and the responsiveness to quality abnormalities can be improved, and the user can quickly and easily grasp the most effective countermeasure against the current quality abnormality based on the above display. There is an effect that can be.

More specifically, in the apparatus according to claim 2,
The information necessary for determining the quality abnormality of the quality inspection target is collected by the inspection means, and based on this information, the quality abnormality determination means automatically determines the presence or absence of the quality abnormality, and the abnormality occurs. In such a case, the abnormal quality item is automatically input to the information analysis means, so that the burden on the quality control operator can be further reduced.

Further, in the apparatus according to the third aspect, regarding the determination of the quality abnormality, not only the quality itself of the quality inspection target object inspected by the inspection means is determined, but also
Analyzing the tendency of quality change by the quality tendency abnormality determination means based on the information of the past multiple times stored in the information storage means,
When this quality tendency is determined to be abnormal, this is also input to the information analysis means as the above-mentioned quality abnormality item. Therefore, by taking appropriate measures against this quality tendency abnormality, each quality inspection is actually performed. It is possible to prevent the occurrence of an unacceptable quality abnormality in the object in advance, and it is possible to further increase the production efficiency.

Further, in the apparatus according to the fourth aspect, the individual quality abnormality determining means is provided for each inspection means, and the quality abnormality item peculiar to each inspection machine is determined on the inspection machine side. Even when there are various quality abnormality determination items such as when the total number of inspection means is large, individual quality abnormality can be appropriately determined with a simple configuration. Further, even when the number of inspection means is increased or decreased or the type of inspection means is changed, the quality abnormality determination means suitable for this is added to the inspection means to be added or replaced, and other configurations are almost changed. Since it is not necessary, there is an effect that the versatility of the entire device can be further enhanced.

Further, in the apparatus according to the fifth aspect, as the countermeasure inputting means, when the quality abnormality is restored by the countermeasure command output by the countermeasure commanding means, a signal to that effect is output to the information analyzing means. Since the information output means is provided in the above processing device, the contents of measures that were actually effective in resolving quality abnormalities can be automatically input to the information analysis means, thereby further reducing the burden on the operator. The effect is that unmanned equipment can be promoted.

[Brief description of drawings]

FIG. 1 is a functional block diagram of a quality control device according to a first embodiment of the present invention.

FIG. 2 is a functional block diagram of information analysis means provided in the quality control device.

FIG. 3 is a diagram showing an example of a display screen by a countermeasure display means of the quality control device.

FIG. 4 is a functional block diagram of a quality control device according to a second embodiment of the present invention.

FIG. 5 is a diagram showing another example of a display screen displayed by the countermeasure display means.

[Explanation of symbols]

 M1, M2, ... Processing machine 81, 82, ... Command input section 91, 92, ... Information output section (information output means) 10 Quality abnormality input means 111, 112, ..., 11n Inspection machine (inspection means) 131, 132, , 13n Individual quality abnormality determination unit 16 Information storage means 18A Quality tendency abnormality determination means 18B Individual quality abnormality determination means 20 Countermeasure input means 30 Information analysis means 32A Quality tendency abnormality countermeasure storage means (Countermeasure storage means) 32B Individual quality abnormality countermeasure storage Means (measure storage means) 34 Measure arrangement means 40 Measure display means 50 Measure command means

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[Procedure amendment]

[Submission date] December 11, 1992

[Procedure Amendment 1]

[Document name to be corrected] Drawing

[Name of item to be corrected] Figure 5

[Correction method] Change

[Correction content]

[Figure 5]

Claims (5)

[Claims] 1. An apparatus for managing the quality of a product produced by a production apparatus, comprising: an information analysis means and a quality abnormality input means for inputting an item of the quality abnormality actually occurred to the information analysis means. And a countermeasure input means for inputting a countermeasure effective for the recovery of the quality abnormality to the information analysis means, and a countermeasure display means for displaying the analysis result of the information analysis means,
Based on the analysis result of the information analysis means, determine a measure suitable for the current quality abnormality, and a measure command means for outputting a measure command to the production apparatus to execute this, the information analysis means, Each time a quality abnormality input means and a countermeasure input means input a quality abnormality item and a countermeasure corresponding thereto, a countermeasure storage means for learning and calculating information regarding the effectiveness of each countermeasure and storing the information, and the quality abnormality input When a quality abnormality item is input from the means, the quality control is provided with a countermeasure organizing means for outputting the information stored corresponding to the quality abnormality item to the countermeasure displaying means and the countermeasure commanding means. apparatus. 2. The quality abnormality input means, an inspection means for collecting information necessary for determining a quality abnormality of a quality inspection object, and a quality abnormality generated based on the information collected by the inspection means. And a quality abnormality determining means for inputting the quality abnormality item to the information analyzing means when it is determined that a quality abnormality has occurred. Quality control equipment. 3. An information storage means for sequentially storing the information collected by the inspection means is provided, and the quality abnormality determination means determines the abnormality itself in the quality of the quality inspection object inspected by the inspection means. , When the quality abnormality is determined to be input to the information analyzing means as the quality abnormality item, the individual quality abnormality determining means, and the quality change based on the past multiple times information stored in the information storing means. 3. The quality according to claim 2, further comprising: a quality tendency abnormality determining means for inputting the tendency to the information analyzing means as the quality abnormality item when the quality tendency is determined to be abnormal. Management device. 4. The quality control device according to claim 3,
A quality control device comprising a plurality of inspection means and the individual quality abnormality determination means provided for each inspection means. 5. The quality control device according to any one of claims 1 to 4, wherein when the quality abnormality is restored by the countermeasure command output from the countermeasure command means as the countermeasure input means, a signal to that effect is sent to the information analysis. A quality control device, characterized in that the processing device is provided with information output means for outputting to the processing means.