JP2008225776A - Sampling inspection system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a sampling inspection system for achieving the reduction of management man-hours and the improvement of inspection precision. <P>SOLUTION: An automatic decision processing part 103 of sampling inspection content is configured to refer to information stored in an inspection reference switching rule DB108, a special switching rule DB109, a sampling character table DB110, a sampling table DB111 and a past inspection history DB112 on the basis of the information of input data 105 to make a decision for the acceptance/rejection of sampling inspection content, and to output the sampling inspection content and the decision content to an output file 106. An inspector-categorized inspection precision analysis processing part 104 performs inspector-categorized data totaling about the inspection processing result of an inspector on the basis of information stored in a past inspection history DB112 and information stored in an inspector skill degree DB 113, and outputs the result to an output file 107. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a sampling inspection system, and more particularly, to a sampling inspection system that outputs a result of a sampling inspection together with a determination result of the acceptance / rejection and evaluates the skill level of an operator based on the results.

  The conventional sampling inspection is performed at the time of acceptance inspection of parts, but the method is to perform an AQL (Acceptable Quality Level) index type one-time sampling inspection on the inspection target in lot units. It was.

For example, as a conventional method, in accordance with JIS (JIS Z9015-1) regulations (“AQL index type single sampling inspection method for inspection of each lot”), manual management of the inspection history ledger, Adjustments.
In addition, in order to manage the acceptance inspection of parts, a proposal of a system that automatically inputs a sampling inspection result from an inspection device, and automatically determines acceptance and adjusts the severity of inspection is disclosed. (See Patent Document 1).
JP-A-6-28364

  However, the conventional sampling inspection method described in the above background art (that is, a method of performing an AQL index type one sampling inspection for each lot inspection at the time of receiving inspection of parts) is generally defined by JIS. In accordance with the provisions of “AQL index type sampling inspection method for lot-by-lot inspection (JIS Z9015-1)”, the sampling is carefully adjusted and inspected, but this method has the following problems. .

That is, in the above-mentioned JIS standard, a table (for example, sample character table) that defines a lot product name (for example, sample character) defined for each inspection level and lot size, a sample character, and an acceptable quality level (Acceptable Quality). A sampling table defined for each level (hereinafter referred to as “AQL”) is provided, and thereby, the sample size, the number of acceptable determinations, and the number of unacceptable determinations are defined. Conventionally, an inspector performs an inspection to determine a sample size, a pass determination number, a fail determination number, and the like of a product to be inspected based on these standards and a past inspection history. However, at present, most of these operations are performed manually, and the inspection history for recording the inspection results is also managed manually. There was a problem that secondary use was difficult.
Note that the method described in Patent Document 1 described above cannot perform inspector accuracy analysis based on the contents of the inspection history.

  The present invention has been made in view of the above-described conventional problems, and is based on the inspection history for recording the inspection result of the inspection object for each inspector and the related information defined in JIS and referred to at the time of the inspection. In addition, the inspection details including the sample size, acceptance number, rejection number, etc. of the product to be inspected are determined and output as a list. The object is to provide a sampling inspection system capable of reducing and improving inspection accuracy.

  In order to solve the above-mentioned problems, the sampling inspection system according to the present invention performs an AQL (Acceptable Quality Level) index type one-time sampling inspection, which is an inspection for each lot based on JIS regulations, and obtains an inspection result. A sampling inspection system for outputting a sampling inspection content including the inspection result of the inspection target in a file, wherein the inspection standard switching rule, the special switching rule, and the sample character table based on the JIS regulations referred to when the inspection is performed And database reading means for making it possible to refer to the database storing each data of the sampling table, and data for specifying the inspection target to be included in the sampling inspection content, the name of the inspection object, manufacturer name, lot size, inspection level And the inspection target designating means for inputting the AQL and the special switching rule data in the inspection target. If the corresponding data is included, data that does not meet the predetermined inspection exclusion condition is output as a file for the sampling inspection contents, and the special switching rule data corresponds to the inspection object. When data is not included, special switching rule data processing means for acquiring the latest inspection result data among the inspection history data corresponding to the inspection object, and an inspection standard switching rule corresponding to the inspection object Inspection criteria switching rule data acquisition means for acquiring the data of the above, and data that matches the strictness level and the inspection criteria that are data items of the data of the latest inspection result among the acquired data of the inspection criteria switching rule Inspection level acquisition means for acquiring relaxation conditions and reinforcement conditions for data having items, and the relaxation levels, the relaxation conditions and the enhancement conditions A sample of the data of the sample character table having data items corresponding to the lot size and the inspection level, which are data items of the data to be inspected, and a moderation level updating means for making the one updated based on the new severity level Sample character acquisition means for acquiring characters, and sample size, acceptance determination number, and rejection determination number of the sampling table data having the new stringency level, the sample character, and the data items that respectively match the AQL Sampling table data acquisition means, inspection standard acquisition means for acquiring, as a new inspection standard, an inspection standard of data having a data item that matches the new severity level among the data of the inspection standard switching rule, and the inspection Inspection target product name, manufacturer name, lot size, inspection level entered as data specifying the target, and the above A sampling inspection content output means for outputting the AQL, the sample size of the sampling table data, the number of acceptance judgments, the number of rejection judgments, and the new inspection standard as the sampling inspection contents. Features.

  Further, in the sampling inspection system, the inspection accuracy analysis means for calculating the inspection accuracy analysis material for each inspector based on the data for recording the proficiency level of the inspector and the data of the inspection history, and the calculated Test accuracy analysis data output means for outputting test accuracy analysis data as a file is further provided.

  Further, in the sampling inspection system, the inspection accuracy analysis document includes the number of inspections, the inspection work time, the number of passes, the number of failures, the pass rate, and the skill level pass rate based on the data of the inspection history. The result calculated for each member is included.

  Further, in the sampling inspection system, the number of inspections is the number of records for each inspector included in the inspection history data, and the inspection work time is inspected from an inspection end time for each inspector in the inspection history data. The total difference obtained by subtracting the start time, the number of passes is the number of records passed for each inspector included in the inspection history data, and the number of failures is the number of inspections included in the inspection history data. The number of rejected records, the pass rate is a quotient obtained by dividing the number of passes by the number of inspections, and the skill level pass rate is a product of the pass rate multiplied by the skill level. .

  As described above, in the present invention, the inspection result of the inspection object in which the inspection result has already been obtained as the inspection history after the AQL index type single sampling inspection, which is the inspection for each lot based on JIS regulations, is performed. The sampling inspection content to be included is limited to the specified inspection object, and reference data (inspection standard switching rule, special switching rule, sample character table, and sampling table) at the time of inspection based on the JIS regulations are stored. While referring to the database, the inspection history is searched, a report for reporting the contents of the sampling inspection is created, and the file is output. Moreover, based on the past inspection history and the inspector skill level, inspection accuracy analysis data for each inspector is calculated and output as a file.

  As described above, according to the sampling inspection system of the present invention, the AQL index type one-time sampling inspection, which is an inspection for each lot based on JIS regulations, is performed, and the inspection result is already obtained as the inspection history. Sampling inspection content including the inspection result of the inspection object is limited to the specified inspection object, and reference data at the time of inspection based on the JIS regulations (inspection standard switching rule, special switching rule, sample character table, and While referring to the database where each sampling table) is stored, the inspection history is searched and a report that reports the contents of the sampling inspection is created and output to a file, reducing man-hours for management and human error. There is an effect that can prevent.

  In addition, based on the past inspection history and inspector proficiency rate, inspection accuracy analysis data for each inspector can be calculated and output to a file, reducing management man-hours and improving inspection accuracy. There is an effect that can be.

  The sampling inspection system according to the present invention includes a sampling target including an inspection result for which an inspection result has already been obtained after an AQL index type one-time sampling inspection which is an inspection for each lot based on JIS regulations. The inspection contents are output to a file. Also, the inspection accuracy analysis data for each inspector is calculated and output as a file.

Hereinafter, the best embodiment of the sampling inspection system of the present invention will be described in detail with reference to the drawings.
In the present embodiment, based on the inspection history ledger and the inspector skill rate, the inspector accuracy analysis is performed and a list of inspection accuracy analysis materials for each inspector is output.

FIG. 1 is a configuration diagram showing the overall configuration of a sampling inspection system according to an embodiment of the present invention.
In the drawing, the sampling inspection system according to the present embodiment includes an input / output screen 101 serving as an input / output interface to a user, a processing unit 102 for executing sampling inspection processing, and an inspection standard for storing inspection standard switching rules. Switching rule DB (database) 108, special switching rule DB 109 for storing special switching rules, sample character table DB 110 for storing sample character tables, sampling table DB 111 for storing sampling tables, and past inspections of inspectors The past inspection history DB 112 for storing the history, the inspector skill level DB 113 for storing the skill level of the inspector, the inspection product name, lot size, AQL, and Input data 105 for specifying the inspection level, output file 106 for indicating the contents of the sampling inspection, and inspection for each inspector Configured to include an output file 106 for indicating the precision analysis data, the.

The processing unit 102 includes an automatic determination processing unit 103 for sampling inspection contents for making a determination about sampling inspection contents, and an inspector-specific inspection accuracy analysis processing part 104 for performing inspection accuracy analysis for each inspector.
The automatic determination processing unit 103 for the sampling inspection content of the processing unit 102 is based on the information of the input data 105 that has been input. The inspection standard switching rule DB 108, the special switching rule DB 109, the sample character table DB 110, the sampling table DB 111, and the past inspection With reference to the information stored in the history DB 112, the sampling inspection results are collected and output to the output file 106 (here, the sampling inspection content list).
Based on the information stored in the past inspection history DB 112 and the information stored in the inspector skill level DB 113, the inspector-specific inspection accuracy analysis processing unit 104 of the processing unit 102 A predetermined evaluation index is calculated for each inspector, and the calculation result is output as data to the output file 107 (in this case, the inspection accuracy analysis material list for each inspector).

In the past inspection history DB 112, for each inspector, the inspection result by the inspector is stored as data associated with the inspection condition and inspection time.
The information stored in the past inspection history DB 112 and the information stored in the inspector skill level DB 113 are separately obtained by referring to the output file 106 (here, sampling inspection content list) or the like manually or by other systems. Suppose that it was created.

  Hereinafter, the processing function of the automatic determination processing unit 103 for the sampling inspection content of the processing unit 102 in the sampling inspection system according to the present embodiment will be described for each corresponding main means described in each claim.

First, it is possible to refer to the databases (108 to 34) in which data of inspection standard switching rules, special switching rules, sample character tables, and sampling tables are stored based on the JIS regulations referred to when the inspection is performed. (Database reading means).
Next, the inspection object name, manufacturer name, lot size, inspection level, and AQL are input as data for specifying the inspection object to be included in the sampling inspection content (inspection object specifying means).
Next, when the data corresponding to the inspection object is included in the data of the special switching rule, the data that does not meet the predetermined inspection exclusion condition is output as the sampling inspection content to the file. When the data corresponding to the inspection object is not included in the data of the special switching rule, the latest inspection result data is acquired from the inspection history data corresponding to the inspection object ( Special switching rule data processing means).

Next, data of an inspection standard switching rule corresponding to the inspection object is acquired (inspection standard switching rule data acquisition means).
Next, among the acquired data of the inspection standard switching rule, the relaxation condition and the strengthening condition of data having a data item that matches the severity level and the inspection standard that are data items of the latest inspection result data Acquire (inspection level acquisition means).
Next, the moderation level updated based on the relaxation condition and the strengthening condition is set as a new moderation level (moderation level update means).
Next, the sample character of the data of the sample character table having the data items corresponding to the lot size and the inspection level, which are data items of the data to be inspected, is acquired (sample character acquiring means).

Next, the sample size, the pass judgment number, and the fail judgment number of the sampling table data having the new stringency level, the sample character, and the data items that respectively match the AQL are acquired (sampling table data acquisition means). ).
Next, an inspection standard of data having a data item that matches the new severity level is acquired as a new inspection standard among the data of the inspection standard switching rule (inspection standard acquisition means).
Next, the inspection target product name, manufacturer name, lot size, inspection level, and AQL, the sample size of the sampling table data, the number of acceptance determinations, and the number of rejection determinations, which are input as data specifying the inspection target The new inspection standard is output as a file to the output file 106 (in this case, a sampling inspection content list) as the sampling inspection content (sampling inspection content output means).

Hereinafter, the processing function of the inspector-specific inspection accuracy analysis processing unit 104 of the processing unit 102 in the sampling inspection system according to the present embodiment will be described in terms of main means corresponding to the claims.
First, based on the data for recording the proficiency level of the inspector and the data of the inspection history, the inspection accuracy analysis data for each inspector is calculated (inspection accuracy analysis means).
Next, the calculated inspection accuracy analysis material is output to an output file 107 (in this case, an inspection accuracy analysis material list for each inspector) (inspection accuracy analysis material output means).

  Hereinafter, operation | movement of the sampling inspection system which concerns on this embodiment is demonstrated in detail using a flowchart figure.

FIG. 2 is a flowchart showing an operation of the automatic determination processing unit 103 for the sampling inspection in the processing unit 102 of the sampling inspection system according to the present embodiment.
In the figure, step 201 indicates the start of the repeat range (ie, step 201 indicates that the information of the input data 105 is read and the process is repeated until there is no read data). At this time, if the next record does not exist, the processing within the repeat range is ended in step 227.
If there is read data 105, the next one record (initially the first record) is read, and data of this record (namely, inspection product name, manufacturer name, lot size, AQL, and inspection level) is acquired (step 202). . Hereinafter, the data first acquired in this reading process is referred to as “input A”.

Next, the data of the special switching rule stored in the special switching rule DB 109 is acquired (step 203), and the record data matching the inspection item name and manufacturer name of “input A” acquired in step 202 is extracted (step 203). 204).
Next, it is determined whether or not the record acquired in step 204 exists and is data of a special switching rule (step 205). The record acquired in step 204 exists and is data of a special switching rule. If yes, go to Step 206; otherwise go to Step 211.

Hereinafter, each set value is verified about the data record of the acquired special switching rule.
In step 206, it is determined whether or not the value of “inspection execution / non-execution” of the record is “0”. If the determination result is true, the process returns to step 2 and the same processing is repeated, and the determination result is false. In the case of, go to Step 207. Here, the value “0” is set in the “inspection presence / absence” of the record in the case of the name of the inspection product that is not inspected.

  In Step 207, it is determined whether or not the value of “inspection method change” in the record is “1”. If the determination result is true, the process returns to Step 2 and the same processing is repeated. If YES, go to Step 208. Here, in the “inspection method change” of the record, “1” is set when an inspection method different from the one-time sampling method for each lot supported by this system is adopted. Note that this value is set to '1' when only checking the inspection report on the part manufacturer side.

  In step 208, it is determined whether or not the value of the “unconditional pass / fail determination” of the record is “pass”. If the determination result is true, the process returns to step 2 and the same processing is repeated. If not, the process proceeds to step 209. Here, in the “unconditional pass / fail judgment” of the record, “pass” and “fail” are set when passing or failing without performing inspection, respectively. If the product is sufficiently reliable, it may be set as “Pass”, and if the part with the same configuration is defective and the cause is not taken, the product is “Pass” may be set.

  In step 209, it is determined whether or not the value of the “unconditional pass / fail determination” of the record is “fail”. If this determination result is true, the process returns to step 2 and the same processing is repeated. If is false, go to Step 210. Here, in the “unconditional pass / fail judgment” of the record, “pass” and “fail” are set when passing or failing without performing inspection, respectively. If the product is sufficiently reliable, it may be set as “Pass”, and if the part with the same configuration is defective and the cause is not taken, the product is “Pass” may be set.

  In step 210, the inspection item name, manufacturer name, lot size, AQL, and inspection level acquired in step 202, and the sample size, acceptance determination number, and rejection determination number of the record acquired in step 205 Are written in the output file 106 (in this case, the sampling inspection content list), and then the process returns to step 202.

  In step 211, the data record stored in the past examination history DB 113 is acquired as the case where the record acquired in step 205 does not exist or is not the data of the special switching rule.

  Next, a record that matches the inspection item name of “input A” acquired in step 202 is searched from the data records in the past inspection history DB 113 acquired in step 204, and the inspection end time is the longest among the corresponding data records. A data record (that is, the latest record) is retrieved, and the severity level and inspection standard of the retrieved data record are acquired (step 212). Hereinafter, this data is referred to as “input B”.

  Next, a record that matches the inspection item name, severity level, and inspection standard of “input A” acquired in step 202 is searched from the past inspection history DB 113, and records that continue from the record with the longest inspection end time are searched. Search as a past examination history record (step 213). In the following, the number of records of the acquired consecutive records is referred to as “continuous inspection count”, and the acquired past inspection history record and “continuous inspection count” are referred to as “input C”.

  Next, the data record stored in the inspection standard switching rule DB 108 is acquired (step 214).

  Next, a record that matches the stringency level of the data record acquired in step 212 and the inspection standard (ie, “input B”) is searched from the data record stored in the inspection standard switching rule DB 108 acquired in step 214. The relaxation condition and the strengthening condition of the corresponding record are acquired (step 215). Hereinafter, this data is referred to as “input D”.

  Next, it is determined whether or not the past inspection history record of “input C” acquired in step 213 and the number of consecutive inspections meet the relaxation condition of “input D” acquired in step 215. If true, the process proceeds to step 217. If the determination result is false, the process proceeds to step 218 (step 216). As an example of this judgment, if the relaxed condition is 'C / A5', that is, “successful 5 lots passed”, 5 consecutive lots from the record with the longest examination end time (ie latest record) in the past examination history record If all the extracted inspection history records are passed, the relaxed condition is satisfied, and if there is one failure, it can be determined that the relaxed condition is not satisfied.

  In step 217, the value obtained by subtracting 1 from the level of “input B” acquired in step 212 is set as a new level, and then the process proceeds to step 221. In the following, a new moderation level obtained from the moderation level of “input B” will be referred to as “output A”.

  In step 218, it is determined whether or not the past inspection history record of “input C” acquired in step 213 and the number of continuous inspections meet the strengthening condition of “input D” acquired in step 15. If is true, the process proceeds to step 219. If the determination result is false, the process proceeds to step 220. As an example of this determination, when the strengthening condition is “C5 / D2”, that is, “2 lots failed in 5 consecutive lots”, the record with the longest inspection end time in the past inspection history record (that is, the latest record) If the number of consecutive 5 lots is extracted from the inspection, and the number of unacceptable inspection history records is less than 2, this strengthening condition is satisfied, and if the number of unacceptable inspection history records is 2 or more, it can be determined as nonconforming.

In step 219, the value obtained by adding 1 to the moderation level of “input B” acquired in step 212 is set as a new moderation level (“output A”), and then the process proceeds to step 221.
In step 221, the data record stored in the sample character table DB 110 is acquired.

Next, a record that matches the lot size and inspection level of “input A” acquired in step 202 is searched from the data record of the sample character table DB 110 acquired in step 221 to acquire the corresponding sample character (step 222). ). Hereinafter, this sample character is referred to as “output B”. At this time, the determination condition for determining the coincidence with the aforementioned lot size is that the lot size of “input A” acquired in step 202 is a range of values of the start lot size and end lot size of the data record of the sample character table DB 110. If it is included, it shall be determined that they match.
Next, the data record stored in the sampling table DB 111 is acquired (step 223).

  Next, the new stringency level obtained in step 17 or 18 or 19 (ie, “output A”) matches the sample character of “output B” obtained in step 222 and obtained in step 202. A record that matches the AQL of “input A” is acquired from the data record stored in the sampling table DB 111 acquired in step 223, and a sample size, a pass determination number, and a reject determination number are acquired (step 224). Hereinafter, the acquired data is referred to as “output C”.

  Next, a record that matches the new severity level (ie, “output A”) acquired in step 17, step 18, or step 19 is searched from the inspection standard switching rule DB 108 acquired in step 214, and the corresponding inspection standard is searched. This value is used as a new inspection standard. Hereinafter, this new inspection standard is referred to as “output D” (step 225).

Next, the inspection item name, manufacturer name, lot size, AQL, and inspection level acquired in step 202, the new inspection standard (ie, “output D”) acquired in step 225, and in step 224 The acquired “output C” sample size, acceptance determination number, and rejection determination number are written in the output file 106 (here, sampling inspection content list) (step 226).
Note that step 227 indicates the end of the repeat range corresponding to step 201.

FIG. 3 is a flowchart showing the operation of the inspector-specific inspection accuracy analysis processing unit 104 in the processing unit 102 of the sampling inspection system according to the present embodiment.
First, a data record stored in the past examination history DB 112 is acquired (step 301).
Next, the number of inspections for each inspector is calculated from the data record of the past inspection history DB 112 acquired in step 301 using equation (1) (step 302). Hereinafter, this calculation result is referred to as “output Av”.
Number of inspections = number of records for each inspector ............... (1)

Next, from the data record of the past inspection history DB 112 acquired in step 301, the inspection work time for each inspector is calculated by equation (2) (step 303). Hereinafter, this calculation result is referred to as “output Bv”.
Inspection work time =
Total time of [inspection end time-inspection start time] for each inspector ............ (2)

Next, from the data record of the past examination history DB 112 acquired in step 301, the number of passes for each inspector is calculated by equation (3) (step 304). Hereinafter, this calculation result is referred to as “output Cv”.
Number of passes = number of records passed per inspector ……………………… （3）

Next, the number of failures for each inspector is calculated from the data record of the past inspection history DB 112 acquired in step 301 using the equation (4) (step 305). Hereinafter, this calculation result is referred to as “output Dv”.
Number of failures = Number of failed records for each inspector ………………… （4）

Next, the pass rate for each inspector is calculated from the data record of the past inspection history DB 112 acquired in step 301 using the equation (5) (step 306). Hereinafter, this calculation result is referred to as “output Ev”.
Pass rate =
Number of passes (ie, “output Cv”) ÷ number of inspections (ie, “output Av”) (5)

Next, the data record stored in the inspector skill level DB 113 is acquired (step 307).
Next, the skill pass rate for each inspector is calculated from the pass rate for each inspector calculated in step 306 (ie, “output Ev”) and the skill level for each inspector in the data record obtained in step 307. Calculation is performed using equation (6) (step 308). Hereinafter, this calculation result is referred to as “output Fv”.
Skill level pass rate = pass rate (ie, “output Ev”) × skill level rate (6)

Next, for each of the calculated inspectors, the number of inspections (ie, “output Av”), the inspection work time (ie, “output Bv”), the number of passes (ie, “output Cv”), the number of times of failure (ie, “output Dv”). )), The pass rate output (ie, “output Ev”), the proficiency level pass rate (ie, “output Fv”), and the skill level obtained in step 307 are output to the output file 107 (in this case, inspector-specific inspection). Writing to the accuracy analysis material list (step 309), the process is terminated.
Here, the skill level pass rate (that is, “output Fv”) is obtained by multiplying the skill level of the inspector determined in advance from the years of service, etc., by the pass rate (that is, “output Ev”) that is the result of the inspector. Therefore, a more objective evaluation of skill level is possible for each inspector.

4A and 4B are explanatory diagrams showing an example of a data record stored in the inspection standard switching rule DB 108. FIG. 4A shows an item description and FIG. 4B shows a data example.
In the figure, explanations and specific data of the items of “severity level”, “inspection standard”, “relaxation condition”, and “strengthening condition” are shown.

5A and 5B are explanatory diagrams showing an example of a data record stored in the special switching rule DB 109. FIG. 5A shows an item description and FIG. 5B shows a data example.
In the figure, “Inspection product name”, “Manufacturer name”, “Sample size”, “Number of acceptance judgments”, “Number of acceptance judgments”, “Existence of inspection execution”, “Unconditional pass / fail setting”, and “Change inspection method” The description of the content and specific data are shown for each item.

FIG. 6 is an explanatory diagram showing an example of a data record stored in the sample character table DB 110. FIG. 6A shows an item description and FIG. 6B shows an example of data.
In the figure, “start lot size”, “end lot size”, “inspection level”, “sample character”, “number of rejections”, “inspection presence / absence”, “unconditional pass / fail setting”, and “inspection method” For each item of “change”, an explanation of the contents and specific data are shown.

FIG. 7 is an explanatory diagram illustrating an example of a data record stored in the sampling table DB 111. FIG. 7A illustrates an item description and FIG. 7B illustrates a data example.
In the figure, for each item of “severity level”, “sample character”, “sample size”, “AQL”, “passing judgment number”, and “failing judgment number”, explanation of the contents and specific Data are shown.

FIG. 8 is an explanatory diagram showing an example of a data record stored in the past examination history DB 112, FIG. 8A shows an item description, and FIG. 8B shows a data example.
In the figure, “Inspection name”, “Pass / Fail”, “Quantity”, “Lot size”, “Sample size”, “Number of failures”, “Number of defects”, “Severity level”, “Inspection standard” ”,“ Acceptance judgment number ”,“ Failure judgment number ”,“ Inspection level ”,“ AQL ”,“ Manufacturer name ”,“ Inspector ”,“ Inspection start time ”, and“ Inspection end time ” The explanation of the contents and specific data are shown.

FIG. 9 is an explanatory diagram showing an example of a data record stored in the inspection mark skill level DB 113. FIG. 9A shows an item description, and FIG. 9B shows an example of data.
In the figure, explanations and specific data of the items of “inspector” and “skill level” are shown.

FIG. 10 is an explanatory diagram showing an example of data records (for three cases) output to the output file 106 (here, the sampling inspection content list).
Each data record shown in the figure includes data for specifying an inspection object specified by each item of “inspection item name”, “manufacturer name”, “lot size”, “inspection level”, and “AQL”, and “ Data of inspection contents indicated by the items of “applicable inspection level”, “sample size”, “number of acceptable determinations”, and “number of unacceptable determinations” are shown.

FIG. 11 is an explanatory diagram showing an example of a data record output to the output file 107 (in this case, the inspection accuracy analysis material list by inspector).
Each data record shown in the figure includes "inspector", "inspection count", "inspection work time", "pass count", "failure count", "pass rate", "skill level", and " The evaluation items specified for each item of “skill pass rate” and the evaluation data of the inspector evaluated by this evaluation item are shown.
It should be noted that at least a part of the processing of each component of the sampling inspection system according to the present invention is executed by computer control, and the above processing is executed by the computer according to the procedure shown in the flowcharts of FIGS. The program may be stored and distributed in a computer-readable recording medium such as a semiconductor memory, a CD-ROM, or a magnetic tape. A computer including at least a microcomputer, a personal computer, and a general-purpose computer may read the program from the recording medium and execute the program.

  The present invention is applied to the construction of a sampling inspection system, and is particularly suitable for the construction of a sampling inspection system that outputs a result of a sampling inspection together with a determination result of acceptance / rejection and evaluates the skill level of an operator based on the results. It is.

It is a lineblock diagram showing the whole sampling inspection system composition concerning an embodiment of the present invention. It is a flowchart figure which shows operation | movement of the automatic determination process part 103 in the process part 102 of the sampling inspection system which concerns on this embodiment. It is a flowchart figure which shows operation | movement of the inspection accuracy analysis process part 104 according to inspector in the process part 102 of the sampling inspection system which concerns on this embodiment. It is explanatory drawing which shows an example of the data record stored in the test | inspection reference switching rule DB108, Fig.4 (a) shows item description and FIG.4 (b) shows a data example. It is explanatory drawing which shows an example of the data record stored in special switching rule DB109, Fig.5 (a) shows item description and FIG.5 (b) shows a data example. It is explanatory drawing which shows an example of the data record stored in sample character table DB110, Fig.6 (a) shows item description and FIG.6 (b) shows an example of data. It is explanatory drawing which shows an example of the data record stored in sampling table DB111, Fig.7 (a) shows item description and FIG.7 (b) shows a data example. It is explanatory drawing which shows an example of the data record stored in past test | inspection log | history DB112, Fig.8 (a) shows item description and FIG.8 (b) shows a data example. It is explanatory drawing which shows an example of the data record stored in inspection mark skill level DB113, Fig.9 (a) shows item description and FIG.9 (b) shows a data example. It is explanatory drawing which shows an example of the data record (for 3 cases) output to the output file 106 (here sampling inspection content list). It is explanatory drawing which shows an example of the data record output to the output file 107 (here inspection accuracy analysis data list according to inspector).

Explanation of symbols

DESCRIPTION OF SYMBOLS 101 Input / output screen 102 Processing part 103 Automatic determination processing part of sampling inspection content 104 Inspection accuracy analysis processing part according to inspector 105 Input data 106, 107 Output file 108 Inspection standard switching rule DB (database)
109 Special switching rule DB
110 Sample character table DB
111 Sampling table DB
112 Past examination history DB
113 Inspector skill level DB

Claims (4)

A sampling inspection system that outputs a sampling inspection content including inspection results of inspection target products that have undergone a single sampling inspection of an acceptable quality level index type that is an inspection for each lot based on JIS regulations,
Database reading means for making it possible to refer to each of the databases storing the data of the inspection standard switching rule, the special switching rule, the sample character table, and the sampling table based on the JIS regulations referred to when the inspection is performed;
As the data for specifying the inspection object to be included in the sampling inspection content, the inspection object specifying means for inputting the inspection object name, manufacturer name, lot size, inspection level and acceptable quality level,
If the data corresponding to the inspection object is included in the data of the special switching rule, the data that does not meet a predetermined inspection exclusion condition is output as a file as the sampling inspection content in the data, and the special switching rule Special switching rule data processing means for acquiring the latest inspection result data among the inspection history data corresponding to the inspection object when the data corresponding to the inspection object is not included in the data of When,
Inspection standard switching rule data acquisition means for acquiring data of an inspection standard switching rule corresponding to the inspection object;
Inspection that acquires relaxation conditions and enhancement conditions for data having data items that match the stringency level and inspection criteria that are data items of the latest inspection result data among the data of the acquired inspection criteria switching rule Level acquisition means;
A moderation level update means for setting the moderation level to a new moderation level, which is updated based on the relaxation condition and the strengthening condition;
A sample character acquisition means for acquiring a sample character of the data of the sample character table having data items corresponding to the lot size and the inspection level, which are data items of the data to be inspected;
Sampling table data acquisition means for acquiring a sample size, a pass determination number, and a rejection determination number of the data of the sampling table having data items that respectively match the new stringency level and the sample characters and the acceptable quality level;
Inspection standard acquisition means for acquiring, as a new inspection standard, an inspection standard of data having a data item that matches the new severity level among the data of the inspection standard switching rule;
The inspection target product name, manufacturer name, lot size, inspection level, and acceptable quality level that are input as data specifying the inspection object, the sample size of the data in the sampling table, the number of acceptance judgments, and the number of rejection judgments A sampling inspection content output means for outputting the new inspection standard as the sampling inspection content in a file;
A sampling inspection system characterized by comprising:   Inspection accuracy analysis means for calculating inspection accuracy analysis data for each inspector based on the data recording the inspector's skill level and the inspection history data, and outputting the calculated inspection accuracy analysis material as a file The sampling inspection system according to claim 1, further comprising inspection accuracy analysis data output means.   The inspection accuracy analysis data includes the results of calculating the number of inspections, inspection work time, number of passes, number of failures, pass rate, and skill pass rate for each inspector based on the data of the inspection history. The sampling inspection system according to claim 2.   The number of inspections is the number of records for each inspector included in the inspection history data, and the inspection operation time is the sum of differences obtained by subtracting the inspection start time from the inspection end time for each inspector in the inspection history data. The number of passing times is the number of passing records for each inspector included in the inspection history data, and the number of times of rejection is the number of failing records for each inspector included in the inspection history data. 4. The sampling inspection system according to claim 3, wherein the rate is a quotient obtained by dividing the number of passes by the number of inspections, and the skill level pass rate is a product obtained by multiplying the pass rate by the skill level. .