JP4176416B2 - Work proficiency determination system and work proficiency determination method - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a work proficiency determination system and a work proficiency determination method for determining the proficiency level of a worker in a factory from both aspects of work speed and work quality.
[0002]
[Prior art]
In recent manufacturing sites, how to make good quality products at a high speed within a limited time has become an important issue. As a method for that purpose, a cell production system called an island system or a stall system is often introduced from a conventional conveyor system. In these production methods, the worker's work ability is greatly involved in producing good quality products at high speed. Therefore, it is important to improve the proficiency level early by accurately evaluating the proficiency level of the worker.
[0003]
Therefore, conventionally, a work proficiency measurement system for determining the proficiency level of an operator has been proposed. This work proficiency measurement system measures the actual work time, and determines that the work is inexperienced when the actual work time is slower than the standard work time.
[0004]
For example, Japanese Patent Laid-Open No. 2001-166679 has a standard work time database that stores standard work times of each work process, and when all actual work times exceed all standard work hours, A technique for detecting a work process whose time exceeds a standard work time and evaluating a worker's work proficiency level (referred to as “prior art 1”) is disclosed.
[0005]
Another method for determining the proficiency level of the worker is to measure the worker's work accuracy.
[0006]
For example, Japanese Patent Application Laid-Open No. 2001-166680 has a standard work quality database in which the work results of each work process are used as work quality and each standard work quality data is stored. A technique for evaluating the work proficiency of an operator by comparing with quality data (this is referred to as Conventional Technology 2) is disclosed.
[0007]
[Problems to be solved by the invention]
However, in the above prior art 1, the proficiency level of the worker is only determined based on the actual work time, and no specific reason is taken into account for why the actual work time does not catch up with the standard time. In other words, it is not determined whether the reason for the work delay is to be eliminated with the proficiency or other causes (such as poor jig placement). Therefore, there is a problem that it is impossible to distinguish between work delays caused by worker factors and work delays caused by non-worker factors.
[0008]
Further, the conventional technique 2 also has a problem that the cause of the variation in work quality is not taken into consideration.
[0009]
The present invention was devised to solve such problems, and its purpose is not only to check the work time of the worker, but also to check for defective items in the inspection process and comprehensively extract defects due to worker factors. Thus, an object of the present invention is to provide a work proficiency level determination system and a work proficiency level determination method for determining the proficiency level of an operator from both aspects of work speed and work quality.
[0010]
[Means for Solving the Problems]
A work proficiency level determination system according to the present invention is a work proficiency level determination system for determining a work proficiency level of a worker in product assembly, and includes an image photographing means for photographing a work state of the worker, and a worker from the photographed image. Work image analysis means for disassembling the work for each element work and measuring the actual work time of each element work, and assembling process quality defect input means for inputting the defect items of quality defects generated in the assembly process during manufacturing And a final inspection quality defect input means for inputting a defect item of the quality defect found in the final inspection process.
[0011]
In the work video analysis means, the operator measures the work time for each work item of the element work while watching the video. In addition, when work other than work items predicted in advance for assembly work is performed, the work is recorded as invalid work.
[0012]
In the assembly process quality defect input means, when a defect occurs, the operator selects the defect item that has occurred from the defect items in the defect master database displayed on the screen, and inputs the defect content. Is called. In addition to this, the defect contents can be input by coding the defect contents and inputting the codes from an input device such as a 10-keyboard, or by barcoding the defect contents and expressing the defect contents from a barcode reader. There is a method of reading a barcode.
[0013]
The final inspection process defect input means records the defect content in the quality defect database when a defect is found during the inspection in the final inspection process. In other words, the contents of the defect that occurred are entered from the defect items displayed on the screen, and the product ID, worker code, and final inspection quality that have already been entered at the time of entry and the final inspection start. It is recorded in the quality defect database together with a signal for clarifying the input at the defect input section.
[0014]
And measured by the work video analysis means Actual work time The worker's work proficiency is determined on the basis of the defect contents input from the assembly process quality defect input means and the defect contents input from the final inspection process defect input means.
[0015]
As described above, according to the present invention, in addition to the work time of the worker, the defect items in the inspection process are checked, and the defect due to the worker factor is comprehensively extracted, so that the work can be performed in terms of both work speed and work quality. A person's proficiency level can be determined.
[0016]
In this case, as the work proficiency level, the work time proficiency level for determining the proficiency level of the worker as viewed from the work time, the quality proficiency level for determining the proficiency level of the worker as viewed from the number of occurrences of defects, and the work It is possible to make a determination based on any one or more of the overall work proficiency determined from the sum of the time proficiency and the quality proficiency.
[0017]
The working time proficiency includes the actual work time obtained by removing invalid work that is not an operator factor from the data obtained by analyzing and measuring work video based on the image obtained by the image photographing means, and the standard work stored in advance. Compare with time Judgment Is possible.
[0018]
In addition, the quality proficiency level is defined as the number of occurrences of quality defects of worker factors excluding non-worker factors that have problems in the quality of parts generated during assembly and inspection processes, and the number of parts generated in final inspection processes. From the number of occurrences of quality defects of worker factors excluding non-worker factors that have quality problems Judgment Is possible.
[0019]
Further, the work proficiency determination method of the present invention includes an image photographing means for photographing a worker's work state, and measures the actual work time of each element work by disassembling the worker's work for each element work from the photographed image. Work image analysis means, assembly process quality defect input means for inputting defective items for quality defects generated in the assembly process during manufacturing, and defect items for quality defects found in the final inspection process are input. A final inspection quality defect input means, and a work proficiency determination method in a work proficiency determination system for determining an operator's work proficiency in product assembly, wherein the image photographing means Image capturing step for capturing and work image analysis for measuring the actual work time of each elemental work by disassembling the worker's work for each elemental work from the captured image by the work image analyzing means And the step, for quality defects that have occurred in the assembly process during manufacture, An assembly process quality defect item storage step for storing a defect item input from the assembly process quality defect input means in a quality defect database; Regarding quality defects discovered in the final inspection process, A final inspection quality defect item storage step of storing the defect item input from the final inspection quality defect input means in a quality defect database; The actual work time measured in the work video analysis step Stored in the quality defect database through the final inspection quality defect item storage step A work proficiency level determining step for determining an operator's work proficiency level based on each defective item, and in the work proficiency level determining step, an operation for determining the proficiency level of the worker viewed from the actual work time Any of the time proficiency determination step, the quality proficiency determination step for determining the proficiency level of the worker viewed from the number of occurrences of defects, and the comprehensive work proficiency determination step for determination from the sum of the work time proficiency and the quality proficiency level Determining by performing one or more determining steps, The working time proficiency is the actual work time obtained by removing invalid work that is not an operator factor from the data obtained by analyzing and measuring work video based on the image obtained by the image photographing means, and the standard work time stored in advance. To determine The level of quality proficiency depends on the number of occurrences of quality defects caused by worker factors excluding non-worker factors that cause problems in the quality of parts generated during assembly and inspection processes, and the quality of parts generated in final inspection processes. It is characterized by judging from the number of occurrences of quality defects of the worker factors excluding the non-worker factors having problems.
[0020]
DETAILED DESCRIPTION OF THE INVENTION
Embodiments of the present invention will be described below with reference to the drawings.
[0021]
FIG. 1 is a block diagram illustrating a configuration of a work proficiency level determination system according to this embodiment.
[0022]
The work proficiency level determination system according to this embodiment includes an image capturing device 11 that captures an image of a worker's work state, an image database (DB) 12 that stores the captured image, and the worker's work from the image for each element work. A work image analyzer 21 that disassembles and measures the actual work time of each element work, a standard work time database (DB) 22 that stores the standard work time of each work, and an actual work time that stores the actual work time of each work of the worker Work time database (DB) 23, assembly process quality defect input unit 31 for inputting defective items of quality defects generated during manufacturing, defect master database (DB) 32 for storing all defect items to be input, input Quality database (DB) 33 for storing the quality defects that have been made, and final inspection for inputting the defect items for the quality defects found in the final inspection process The quality defect input unit 34, the processing unit 41 that performs each process of the system, the product ID collection unit 42 that collects the product ID of the assembly product from the barcode attached to the assembly product, the worker code of the worker who assembles the worker The worker code collecting unit 43 that collects from an ID card or the like possessed by the user, and the display output unit 44 that outputs the progress or result of the process.
[0023]
FIG. 2 is an explanatory diagram of a production method to which the present system is applied.
[0024]
In the present embodiment, a production method called a stand method is assumed in which one worker performs all the processes from the start of assembly through the inspection process to the end of assembly. In the stand system, the assembly operator also performs the inspection work, but in this embodiment, the final inspection process is further provided after the completion of the assembly to check whether there are any errors in the assembly work or the inspection work. .
[0025]
In the assembly process, product IDs of products to be assembled are collected from the product ID collection unit 42 at the beginning of one cycle of product assembly. Further, the worker code of the worker to be assembled is also collected from the worker code collection unit 43. These collected data are processed by the processing unit 41 and associated with work time, work quality, and the like collected thereafter. Regarding worker code collection, it is desirable that the worker code is automatically added for the second and subsequent assembly cycles if it is input only once at the start of the work.
[0026]
FIG. 3 shows a processing flow from taking an image of the worker's work state with the image photographing device 11, performing work analysis from the video, and collecting actual work time for each element work.
[0027]
First, the image capturing device 11 captures an image of the worker's working state (step S101). This image is preferably a moving image. The working state image is stored in the image DB 12 (step S102). At this time, the photographing time is also stored at the same time, and the product ID and worker code that have already been acquired are associated with each other. Then, work video analysis is performed by the work video analysis device 21, the work content is divided into element work, and the actual work time is measured.
[0028]
Specifically, the operator measures the work time for each work item of the element work while watching the video, and inputs it from the input screen. In addition, when work other than work items predicted in advance for assembly work is performed, the work is recorded as invalid work.
[0029]
The actual work time measured for each element work in this way is stored in the actual work time DB 23 (step S104).
[0030]
FIG. 4 shows a process from when a defect is found during inspection in the assembly process or inspection process or when a defect occurs during work, until the content of the defect is input from the assembly process quality defect input unit 31 and stored in the quality defect DB 33. It represents the flow.
[0031]
The term “defect” as used herein refers to the occurrence of abnormalities determined as a result of electrical characteristics, vibration, noise inspection, etc. in the performance inspection, scratches, dirt, screw inclination, label inclination, etc. in the appearance inspection.
[0032]
First, when a defect occurs, a defect content is input from the assembly process quality defect input unit 31 (step S201). Specifically, the defect content is input by the operator selecting a defect item that has occurred from the defect items in the defect master DB 32 displayed on the screen. In addition to this, the defect contents can be input by coding the defect contents and inputting the codes from an input device such as a 10-keyboard, or by barcoding the defect contents and expressing the defect contents from a barcode reader. There is a method of reading a barcode. The content of the defect is recorded in the quality defect DB 33 together with the time when the input was made, the product ID already entered at the start of assembly, the worker code, and a signal for clarifying the input at the assembly process quality defect input unit 31. (Step S202).
[0033]
When a defect is found during the inspection in the final inspection process, the final inspection quality defect input unit 34 records the defect contents in the quality defect DB 33 in the same steps as the processing in the assembly process quality defect input unit 31. In other words, from the defect items displayed on the screen, the details of the defect that occurred are entered, the time when the entry was made, the product ID that was already entered at the start of the final inspection, the operator code, and the final inspection quality defect It is recorded in the quality defect DB 33 together with a signal for clarifying the input at the input unit 34.
[0034]
The worker's work proficiency level is determined based on the data recorded in the actual work time DB 23 and the quality defect DB 33. The data recorded in the actual work time DB 23 and the quality defect DB 33 is distributed for each assembly worker based on the product ID and the worker code, and a determination is made.
[0035]
Here, it is desirable to use not only one cycle of repetitive work but also several cycles of work as data used for work proficiency determination by the actual work time DB 23. It is desirable to use data for a certain period of time, for example, for one day, as data used for work proficiency determination by the quality defect DB 33.
[0036]
FIG. 5 is a processing flow for determining the work proficiency level of the worker.
[0037]
First, the actual work time is adjusted (step S301). This is mainly for deleting abnormal values from the actual work time DB 23, and the following two processes are performed.
[0038]
The first process is to remove, from the actual work time data, data that is abnormally separated vertically from the analysis target in the element work to be analyzed for several cycles.
[0039]
For example, when the analysis target is for 5 cycles, the upper limit value and the lower limit value are automatically calculated from the following formula.
[0040]
Upper limit value = average measurement time + 0.577 × (maximum measurement time−minimum measurement time) Equation (1)
Lower limit value = average actual measurement time−0.577 × (maximum actual measurement time−minimum actual measurement time) Equation (2)
Here, the numerical value 0.577 used as a coefficient is a standard traditional quality control method / xR control chart (/ x is read as x bar and represents an average value of data). It is used based on the idea. The / x-R control chart is a control chart for managing the process average and the process variation with the average value / x and the range R. Since the number of data is 5, the coefficient is set to 0.577, and the range above and below the average of the actual measurement values is allowed as an allowable variation, and the outside of the range is determined as the rejection area. That is, the range from the upper limit value to the lower limit value is set as a normal dispersion range, and the actual measurement value within the above range is set as a normal value and is subject to subsequent evaluation. Measured values that are greater than or equal to the upper limit value or less than the lower limit value and not within the above range are judged to be abnormal values because the variance is larger than the normal variance range, and are automatically removed from the evaluation target. The
[0041]
FIG. 6 is a table in which the average value is obtained based on the work actual measurement values for the worker A five times.
[0042]
Here, first, regarding the operation of “extracting from the display unit and box”, substituting numerical values into the above equations (1) and (2),
Upper limit = 4.2 + 0.577 × (4.4-4.0) = 4.4308
Lower limit value = 4.2−0.577 × (4.4−4.0) = 3.99692
Thus, no abnormal value exists in the actual measurement value, and the average time of this work is 4.2.
[0043]
Similarly, if you ask for the "display part, take out from the bag" work,
Upper limit = 3.52 + 0.577 × (4.0-3.2) = 3.9816
Lower limit value = 3.52-0.577 × (4.0-3.2) = 3.0584
Thus, the second actual measurement value 4.0 is regarded as an abnormal value. For this reason, the average value of this work is 3.4, which is the average value of values other than the second time.
[0044]
The second process is to remove the time during which invalid work is being performed. Since the invalid work occurs regardless of the skill of the operator, such as poor placement of jigs, the invalid work is removed when determining the skill of the worker.
[0045]
Next, the adjusted actual work time is compared with the standard work time in the standard work time DB 22 corresponding to the element work, and the proficiency level of the worker viewed from the work time is determined (step S302).
[0046]
The formula for determining working time proficiency is
Work time proficiency = A × k + B × (1−k) (3)
A = (Σstandard work time / Σactual work time) × 100
B = “the number of element works that satisfies (average value of actual work time ≦ standard work time)” / total number of element works × 100
However, k is 0 or more and 1 or less.
It is represented by
[0047]
In the portion A, the value is 100 when one cycle of work is performed in the same time as the standard work time, and the value decreases as the worker's work time becomes slower than the standard time, and the value increases as the work time becomes faster.
[0048]
In part B, points are added if the average value of each element work actual work time (corrected average value in FIG. 6) is equal to or lower than the standard work time, and the average value of all element work actual work times is standard. If it is less than or equal to the time, it becomes 100 and this value is the maximum.
[0049]
k is a correction coefficient, and a value is set so as to balance A and B. For example, when the whole actual work time is faster or slower than the standard work time, that is, when the portion A is emphasized, the value of k is set large. Further, when emphasizing that the actual work time for each element work does not exceed the standard time, that is, when emphasizing the portion B, the value of k is set small.
[0050]
Next, the number of occurrences of defects due to operator factors is counted from the quality defect DB 33 (step S303).
[0051]
There are two types of quality defects, one caused by workers such as scratches and dirt generated during assembly work, and the other caused by non-worker factors that cause problems in the quality of parts such as the display not lighting. Therefore, in order to determine work proficiency, only the factor due to the worker factor is counted to determine the proficiency level of the worker viewed from the quality defect.
[0052]
However, regarding the quality defect input by the final inspection quality defect input unit 34, it is determined that the quality proficiency level of the worker in the assembly process is low. The worker of the assembly process can determine from the product ID. That is, for example, in the case of visual inspection in the assembly process, it is determined that the level of proficiency is low due to possible causes such as the operator's inspection technique being immature or not following the predetermined inspection procedure. Then, the number of occurrences of operator factor defects in the assembly process is counted regardless of the defect contents.
[0053]
The formula for determining quality proficiency is
Quality proficiency = C × m + D × (1−m) (4)
C = 100−worker factor number of quality defect occurrence cycles / data recording cycle × 100
D = 100−number of final inspection process defect occurrence cycles / data recording cycle × 100
However, m is 0 or more and 1 or less
It is represented by
[0054]
Here, the data recording cycle is the number of assembly cycles recorded in the quality defect DB 33.
[0055]
C is a score based on the number of data recording cycles in which an operator-caused quality defect occurred. When no defect has occurred, the score is 100. Every time it exists, points are deducted. D is similarly scored regarding the occurrence of defects in the final inspection process.
[0056]
m is a correction coefficient, and a value is set so as to balance C and D. For example, when the quality learning level is determined with emphasis on the occurrence of a defect itself during the assembly operation, that is, the number of the worker factor quality defect occurrence cycle represented by C, the value of m Set a larger value. In addition, when the quality proficiency level is determined with an emphasis on whether or not a defective product is thrown into the final inspection process, that is, the number of cycles of the final inspection process defect occurrence represented by D is emphasized. , M is set small.
[0057]
Then, the general work proficiency level of the worker is determined based on the work time proficiency level and the quality proficiency level (step S304).
[0058]
The formula to determine the general work proficiency is
Total work proficiency = work time proficiency × s + quality proficiency × (1−s) Equation (5)
However, s is 0 or more and 1 or less
It is represented by
[0059]
s is a correction coefficient, and a value is set so as to balance the working time proficiency and the quality proficiency. For example, when the work proficiency level of the worker is more important than the work quality, that is, when the work time proficiency level is emphasized, the value of s is set large. Further, when the work quality is more important than the work time, that is, when the quality proficiency is emphasized, the value of s is set small.
[0060]
FIG. 7 is a table showing the standard time of each element work and the actual work time of the workers for a part of the assembly work of five workers A to E.
[0061]
The actual work time is a numerical value after adjustment using the formulas (1) and (2). The correction coefficients k, m, and s are all 0.5.
[0062]
In this table, the working time proficiency level of the worker A is 99.2 / 101.6 × 100 × 0.5 + 10/21 × 100 × 0.5 = 72.6 when substituted into the equation (3). When the same calculation is performed for the workers B, C, D, and E, the working time proficiency levels of the workers B, C, D, and E are 104.1, 65.6, 106.4, and 93.0, respectively. It can be seen that the working time proficiency is high in the order of workers D, B, E, A, and C.
[0063]
FIG. 8 shows the number of failure occurrence cycles over 50 cycles under the same operation as FIG.
[0064]
The quality proficiency level of the worker A is (100-11 / 50 × 100) × 0.5 + (100−3 / 50 × 100) × 0.5 = 86.0 when substituted into the equation (4). When the same calculation is performed for workers B, C, D, and E, the quality proficiency levels of workers B, C, D, and E are 97.0, 77.0, 93.0, and 95.0, respectively. Yes, it can be seen that the level of quality proficiency is high in the order of workers B, E, D, A, and C.
[0065]
FIG. 9 is a list of evaluation values related to the respective proficiency levels. This figure makes it possible to comprehensively grasp the proficiency state of each worker.
[0066]
The working time proficiency is higher in the order of workers D, B, E, A, and C, and the quality proficiency is higher in the order of workers B, E, D, A, and C. That is, it can be seen that the rank of the working time proficiency and the rank of the quality proficiency do not necessarily match. For example, the worker D has the highest working proficiency level among the five, but the quality proficiency level is third. Thus, individual differences occur in the working time proficiency level and the quality proficiency level. Then, it is possible to know the characteristics of each worker such that the work time is early but the quality is inferior, or the work time is a little slow but the quality is high.
[0067]
Then, the work time proficiency level and the quality proficiency level are substituted into equation (5) to determine the overall work proficiency level. At this time, the comprehensive work proficiency level of each worker is 79.3, 100.6, 71.3, 99.7, 94.0 in order from A. That is, it is understood that the comprehensive work proficiency is higher in the order of workers B, D, E, A, and C.
[0068]
6 to 9 are all screens output to the display output unit 44. Further, FIGS. 10 and 11 described below are also screens output to the display output unit 44. FIG.
[0069]
FIG. 10 shows a history of work proficiency of the worker.
[0070]
In this figure, the horizontal axis shows working time proficiency and the vertical axis shows quality proficiency. The worker in the figure has a high work time proficiency level on February 20 (2/20) at the beginning of work, but a low quality proficiency level. After that, on February 21 (February 21), the quality proficiency level improved, but at the same time, the proficiency level for working hours decreased. At this time, the overall work proficiency level has also decreased. This can also be seen from the fact that the position of February 21 has moved to a region below the auxiliary line drawn on February 20.
[0071]
This auxiliary line displays the values that can be taken by the working time proficiency and the quality proficiency when the coefficient s and the overall work proficiency are fixed in Equation (5). The points shown are connected.
[0072]
For example, when the position of 2/21 is on the auxiliary line drawn to 2/20, even if the working time proficiency level and the quality proficiency level are different in the two days, the total work proficiency level is the same. It can be said. With this auxiliary line as a reference, it can be said that the area above this auxiliary line is high in overall work proficiency and the area below is low in overall work proficiency. The inclination of this auxiliary line is determined by the coefficient s in equation (5). The larger the value of s, the steeper the inclination of the auxiliary line, and the auxiliary line inclines in the vertical direction.
[0073]
Compared to 2/20 and 2/21, the reason why the work proficiency in 2/21 was lower was that the actual work time was the result of the operator's careful work so as not to cause quality defects. It was because it took extra.
[0074]
Hereinafter, plotting the history of each proficiency level until March 1 (3/1) indicates that the proficiency level has improved with the passage of days. From 2/27 to 2/28, the working time proficiency level is lowered and the quality proficiency level is raised, but in this case, as you can see from the fact that it has moved to the area above the auxiliary line, comprehensive work proficiency The degree is rising.
[0075]
By comparing the actual work time of each worker, it becomes possible to set a new standard time (time down).
[0076]
FIG. 11 shows the same data as FIG. Among the data, the rightmost column is a collection of only the smallest items among the actual work hours of each worker. For example, the standard time is 5.0 for the work “take out from display unit, box”, but the actual work times of workers A, B, C, D, and E are 4.2, 4. 0, 4.8, 4.2, and 3.8. Here, the shortest actual work time is 3.8 for worker E, but in other words, if other workers are also proficient, it is possible to finish the work in this work time. That is. Therefore, this value of 3.8 is set as a new standard time. At the same time, ideal images of the work images of the worker E are collected as sample images.
[0077]
Similarly, the standard time of each elemental work is set, such as 2.8 for worker B for the “removal from display unit and bag” operation and 2.8 for worker E for the “display unit, visual inspection” operation. By changing, a new standard time can be set. If the same work is performed for the remaining work, the sum of the minimum values of the actual work time is 83.8, which is expected to improve the work efficiency by 1.18 times compared with 99.2 of the standard work time. .
[0078]
【The invention's effect】
According to the work proficiency determination system and the work proficiency determination method of the present invention, not only the work time of the worker, but also check for defective items in the inspection process, and comprehensively extract defects due to operator factors. Therefore, it is possible to more accurately determine the proficiency level of the worker.
[Brief description of the drawings]
FIG. 1 is a block diagram showing a schematic configuration of a work learning support system of the present invention.
FIG. 2 is an explanatory diagram showing a production method to which the work learning support system and the work learning support method of this embodiment are applied.
FIG. 3 is a flowchart for performing work analysis processing;
FIG. 4 is a flowchart for inputting a quality defect.
FIG. 5 is a flowchart for determining work proficiency.
FIG. 6 is a chart in which a simple average value and an actual work time (corrected average value) are obtained based on the actually measured values for five times of the worker A.
FIG. 7 is a chart showing the working time proficiency level of each worker regarding the assembling work.
FIG. 8 is a chart showing the quality proficiency level of each worker regarding the assembly work.
FIG. 9 is a chart showing evaluation values related to each proficiency level in a list format.
FIG. 10 is an explanatory diagram of a screen showing a history of changes in the worker's work proficiency level.
FIG. 11 is a chart in which the working time of each worker regarding the assembling work and the minimum time among them are extracted.
[Explanation of symbols]
11 Image capture device
12 Image DB
21 Work image analyzer
22 Standard work time DB
23 Actual work time DB
31 Assembly process quality defect input section
32 Defect Master DB
33 Quality defect DB
34 Final inspection quality defect input section
41 processor
42 Product ID Collection Department
43 Worker Code Collection Department
44 Display output section

Claims (2)

A work proficiency determination system for determining the work proficiency of an operator in product assembly,
Image photographing means for photographing the working state of the worker;
Work video analysis means for measuring the actual work time of each element work by disassembling the work of the worker for each element work from the captured image;
An assembly process quality defect input means for inputting the defect item for a quality defect that has occurred in the assembly process during manufacturing,
About the quality defect discovered in the final inspection process, it has a final inspection quality defect input means for inputting the defect item,
The work proficiency level of the worker is determined based on the measured actual work time and each input defect item, and the determination of the work proficiency level determines the proficiency level of the worker viewed from the actual work time. Judgment based on at least one of the working proficiency level, the quality proficiency level for determining the proficiency level of the worker as viewed from the number of occurrences of defects, and the overall proficiency level for determining the total working time proficiency level and the quality proficiency level And
The working time proficiency is the actual work time obtained by removing invalid work that is not an operator factor from the data obtained by analyzing and measuring work video based on the image obtained by the image photographing means, and the standard work time stored in advance. To determine
The level of quality proficiency depends on the number of occurrences of quality defects due to worker factors excluding non-worker factors that have a problem with the quality of parts generated during assembly and inspection processes during manufacturing, and the quality of parts generated during final inspection processes. A work proficiency determination system characterized in that determination is made based on the number of occurrences of quality defects of worker factors excluding problematic non-worker factors. Image photographing means for photographing the work state of the worker, work image analysis means for measuring the actual work time of each element work by disassembling the work of the worker from the photographed image for each element work, and an assembly process during manufacturing Assembly process quality defect input means for inputting the defect item for the quality defect that occurred in the process, and final inspection quality defect input means for inputting the defect item for the quality defect found in the final inspection process. In the work proficiency judgment system in the work proficiency judgment system for judging the work proficiency of the worker in
In the image photographing means, an image photographing step for photographing a worker's working state;
In the work video analysis means, a work video analysis step of disassembling the worker's work for each element work from the captured image and measuring the actual work time of each element work;
An assembly process quality defect item storage step for storing, in a quality defect database, a defect item input from the assembly process quality defect input means for a quality defect that has occurred in an assembly process during manufacturing;
For quality defects found in the final inspection process, a final inspection quality defect item storage step of storing the defect items input from the final inspection quality defect input means in a quality defect database;
Work proficiency level determination step for determining an operator's work proficiency level based on the actual work time measured in the work video analysis step and each defective item stored in the quality defect database by the final inspection quality defect item storage step And
In the work proficiency level determining step, a work time proficiency level determining step for determining the proficiency level of the worker as viewed from the actual work time, a quality proficiency level determining step for determining the proficiency level of the worker as viewed from the number of occurrences of defects, It is determined by performing one or more determination steps of a comprehensive work proficiency determination step that is determined from a total of the work proficiency level and the quality proficiency level,
The working time proficiency is the actual work time obtained by removing invalid work that is not an operator factor from the data obtained by analyzing and measuring work video based on the image obtained by the image photographing means, and the standard work time stored in advance. To determine
The level of quality proficiency is the number of occurrences of quality defects due to worker factors excluding non-worker factors that have problems with the quality of parts generated during assembly and inspection processes during manufacture, and the quality of parts generated during final inspection processes. A work proficiency determination method, characterized in that determination is made based on the number of occurrences of quality defects of worker factors excluding non-worker factors having problems in

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