JPWO2007126026A1 - System for automatically extracting motion elements to be improved from work processes - Google Patents

Abstract

[Purpose] To find work elements that can still be improved from the data obtained by the production management system. [Structure] The system for automatically extracting operation elements to be improved from the work processes is to disassemble a predetermined series of work processes scheduled for measurement for each operation element, and to perform the work of the work processes scheduled for measurement. Measuring the working time of each scheduled work process, storing the measurement result in a storage device, repeating the process from the above implementation to storing the result a predetermined number of times, and storing the measurement It is characterized in that an operation element having the highest variation rate is automatically extracted as an operation element to be improved as compared with each operation element decomposed from the result. [Selection] 7

Description

The present invention is a system that can be used as an option in a production management system that monitors the time required for a work process performed by an operator, and in particular, a work element (operation that can be further improved from data obtained by the production management system. To find the element)
For more detailed purposes,
As soon as possible after work, it is necessary to automatically extract the motion elements to be improved (in real time if desired). The points to be improved are to monitor the work status of each individual operator, and further improve the respective motion elements. By automatically extracting the location and the operation element to be improved, the actual work state is stored as image data, and the stored image data can be viewed on demand. The administrator gives an evaluation to the extracted operation element to be improved, while the part to be improved is automatically extracted in units of groups.

  The latest production management system has proposed various sensor management systems such as sensors attached to the producers themselves and sensors provided in the production system, and it is proposed that various information can be obtained in real time based on these sensors. I came. However, it cannot be said that this information is fully utilized. In addition, in a production system that has achieved a high level of efficiency, there is a case where it is difficult to find a work process that should be improved when another stage of efficiency is to be improved. Obtaining clues for efficiency improvement by the administrator continuously monitoring all processes is one method, but the efficiency on the manager side is extremely deteriorated. Moreover, it is not realistic to monitor the entire production process for a long time. Therefore, there is a demand for a system that finds a work process to be improved with respect to a work process that operates in such a highly managed production management system.

The work efficiency diagnosis method and system disclosed in Patent Document 1 are intended to accurately measure the work time of a person without manpower, and to enable data collection regarding the work. Furthermore, when the worker and the work object are approaching, the identification information of the data transmitter and antenna attached to both is input, the identification information and the data input occurrence time are stored together, the work time, the work amount , Calculate work efficiency index value, output work efficiency index value, if work efficiency is low, decompose work time into work element time and evaluate, and output the evaluation result The main configuration is that the element time is selected by the user, an improvement plan that shortens this work element time is set, and the expected effect that is expected to occur when the set improvement plan is implemented is output. It is said.
Japanese Patent Laid-Open No. 7-254024

  The above-described conventional production management system is intended to be improved on the basis of low work efficiency as a criterion, but there are various factors that deteriorate the efficiency. There is no special mention of efficiency. That is, the invention provides a subsequent improvement process based on the premise that a point with poor work efficiency can be grasped.

Thus, although it aims at improving work efficiency, the mechanism which finds out the work process which should be improved itself was not mentioned. In addition, it is not easy to find a mechanism for finding a point to be improved in an advanced production system that has been introduced with a production management system to improve efficiency. However, unless a further problem is discovered in the production process that operates on such an advanced production system, an improvement in production cannot be obtained.
In this invention, the system which extracts automatically the operation | movement element which should be improved from the work process which solved the above subject is provided.

    The invention according to claim 1 is a system that is used in addition to a production management system that monitors the time required for an operation process performed by an operator, and that the series of operation schedules to be measured is at least a plurality of operation elements. Disassembling it, carrying out the work of the work process a plurality of times, measuring the work time of each work process for each operation element, storing the measurement result in a storage device, and storing the stored measurement results for a plurality of times・ Comparison of each operation element to obtain the fluctuation rate, Comparison of the fluctuation rates obtained for each movement element, and automatic extraction of the movement element showing at least one maximum fluctuation ratio It is a feature.

  In the invention according to claim 2, in the process of calculating the fluctuation rate, from the value calculated when the fluctuation rate is obtained for all the processes except the work process depending on the machine and the data in which the fluctuation of the same tendency has occurred. The removal process is performed.

  The invention according to claim 3 is characterized in that the work process to be improved in an operator unit is automatically extracted by analyzing the work process to be measured with respect to a single worker.

  The invention defined in claim 4 determines the order of improvement by comparing the calculation results of the operation elements of the work to be improved, and displays the computer screen so as to stand out in the order of the work processes that need to be improved. It is characterized by being displayed above.

  The invention defined in claim 5 is an operation that needs to be improved by averaging and reducing the influence of one person's individuality by carrying out the work of the work process a plurality of times by a group composed of a plurality of persons. The feature is that the element is obtained in units of groups.

The invention defined in claim 1 is a system that is used in addition to the production management system for monitoring the time required for the work process performed by the operator. The series of work processes scheduled to be measured is at least a plurality of operation elements. Disassembling it, carrying out the work of the work process a plurality of times, measuring the work time of each work process for each operation element, storing the measurement result in a storage device, and storing the stored measurement results for a plurality of times・ Comparison of each operation element to obtain the fluctuation rate, Comparison of the fluctuation rates obtained for each movement element, and automatic extraction of the movement element showing at least one maximum fluctuation ratio It is a feature.
If you focus on one motion element and repeat the work for that motion element many times, but it is completed within a stable time, the work procedure required for the motion element, the equipment or work environment essential for the work, On the other hand, there is little to be improved. On the other hand, as a result of repeating the same operation many times for another operation element, when there is a lot of variation, that is, a change in time until the operation is completed, a work procedure necessary for the operation element, This means that there is any point that needs to be improved for the equipment or work environment that is essential for the work. Therefore, in the present invention, the fluctuation rates obtained for each movement element are compared, and the movement element showing at least the maximum fluctuation ratio is automatically extracted, and the movement element is an operation having room for improvement as described above. An element can be presented to an administrator or an operator, and it is possible to obtain more efficient work by repeating improvements according to this presentation. In addition, when it is desired to pursue a portion to be improved in more detail, if necessary, the operation element to be improved is disassembled in units of operation elements as much as possible. It is possible to compare the two and pursue the point that should be truly improved, that is, the element (work) that can be improved.

The effects of the invention defined in claim 2 are as follows.
In the process of calculating the rate of change, data in which the same tendency of change has occurred in all processes except for the process depending on the machine is not included in the value calculated when the rate of change is obtained. As a result, the influence on the entire work system due to some influence can be eliminated. Therefore, by adding this process to the invention of claim 1, only the elements that should be improved due to each work process scheduled to be measured are highlighted.

The effects of the invention defined in claim 3 are as follows.
By analyzing the work process to be measured with respect to a single worker, the points to be improved in the operator unit are highlighted.

The effects of the invention defined in claim 4 are as follows.
The calculation results of the operation elements of the work to be improved are compared to determine the rank, and the operation elements that need to be improved are displayed on the computer screen so as to stand out in order. It is possible to make improvements by focusing on the work elements that should be improved.

The effects of the invention defined in claim 5 are as follows.
By carrying out the work of the above work process multiple times by a group composed of multiple people, the influence of one individual's individuality is averaged and reduced, so that the operating elements that need to be improved are obtained in units of groups It is characterized by that. In this way, the same work process is repeated by, for example, three operators, and three people are grouped as one group unit, and the variation rate is obtained from the aggregation result. Therefore, it is possible to automatically extract work processes (motion elements) that need to be improved in units of groups. In addition, if necessary, the order in which the rate of change is large is displayed on the computer screen so that it can be recognized on the computer screen. It can be.

Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 shows work contents and work procedures in the operator A1 in the A group of workers.
In this embodiment, the operator A1 is in the process of tightening the bolt against the body of the cleaner. Then, when the work process is broken down by operation element, it can be expressed as S1 to S6 below.

S1 is a process (operation element) for carrying the product body at hand.
S2 is a process (operation element) which takes out the bolt from the box and puts it into the hole of the body.
S3 is a process (operation element) for determining and holding the position of the body.
S4 is a step (operation element) for picking up the electric tool.
S5 is a bolt tightening start process (operation element) by turning on the power tool.
S6 is a step (operation element) of lifting the electric tool and returning it to a predetermined position.
S7 is a step (operational element) for returning the bolted body to the line.
The movement of the operator in each of the above steps is recorded as a moving image. Then, by analyzing the moving image recording, the movement of the hand of the operator A1, the time required for each operation is measured, the object of the object touched by the pattern is recognized, the object moved by the hand Is recognized from the image. Further, the power tool can be configured so that the on / off information of the switch is added to the data at the time of the image analysis, thereby obtaining a clearer analysis.
From the above results, the required times of S1 to S7 are automatically measured. Further, the work of the operator A1 is scheduled to repeat the work steps S1 to S7 five times or more, and among these repeated work, automatic measurement for five times was performed.

FIG. 2 shows an analysis example of the first S1 (the process of carrying the body at hand) among the work processes of the operator A1.
The time spent by operator A1 for the first S1 is 5.0 seconds, the second time is 3.8 seconds, the third time is 5.2 seconds, the fourth time is 3.9 seconds, and the fifth time is 5.6 seconds. Was analyzed. The minimum value of these 5 times was 3.8 seconds, and the maximum value was 5.6 seconds. Using the above maximum value and minimum value, the fluctuation rate is calculated as (maximum value−minimum value) ÷ intermediate value X100 (%). The midpoint is calculated as (maximum value + minimum value) ÷ 2. As a result, it was found that when converted to a fluctuation rate, it reached 38% (rounded off after the decimal point). In addition, a computer management number is added to the image information for which the minimum value is obtained and the image information for which the maximum value is obtained, that is, for the image that has achieved 3.8 seconds for the second time. S1 mini is added to the S1 mini, the fifth 5.6 second image, and data is constructed so that it can be viewed at any time via the computer using this number.

FIG. 3 shows an analysis example of step S2, which is the next work step of operator A1.
Operator A1 spent the first S2 at 5.0 seconds, second at 3.8 seconds, third at 6.5 seconds, fourth at 3.9 seconds, and fifth at 5.5 seconds. . The minimum value of these 5 times was 3.8 seconds, and the maximum value was 6.5 seconds. Furthermore, it was found that when converted to a fluctuation rate, it reached 52%. As described above, a computer management number is added to the image information. In other words, S2 mini is added to the second image with the minimum value of 3.8 seconds, S2 max is added to the image recording the work process that has spent 6.5 seconds for the second time, and this number is used as before. Data is constructed so that it can be viewed at any time via a computer.

FIG. 4 shows an analysis example of step S3, which is the next work step of operator A1.
That is, the time spent for the first S3 of the operator A1 is 3.0 seconds, the second time is 3.5 seconds, the third time is 3.7 seconds, the fourth time is 3.9 seconds, and the fifth time is 3.2. Second. The minimum value of these five times was 3.0 seconds, and the maximum value was 3.9 seconds. Furthermore, it turned out that it is 26% when converted into a fluctuation rate. For the same reason as described above, S3 mini is added to the image having the minimum value of 3.0 seconds for the first time, and S3 max is added to the image in which the work process which has spent 3.9 seconds for the fourth time is recorded. The data is constructed so that it can be viewed at any time via a computer, relying on this number.

Similarly, based on the data automatically measured from the image, the change rate for the work of S4 of operator A1 is calculated to be 20%, and the image that was able to work most quickly at that time is S4 mini, the image of the work that has spent the longest S4 max was added to the image data.
The rate of change for S5 work was 5%. S5 mini was added to the image data, and S5max was added to the image data of the longest-worked video.
The rate of change for S6 work was 15%. At that time, S6mini was added to the image data for the fastest work, and S6max was added to the image data for the longest spent work.
Finally, the rate of change for S7 work was 18%. At that time, S7mini was added to the image data that was able to get the job done most quickly, and S7max was added to the image data that was the longest time spent on the job.
FIG. 5 summarizes the results of the above results, and ranks the work processes that require the most improvement and have a high fluctuation rate at the top, based on the fluctuation rate. In addition, the display frames shown in S1 to S7 are displayed as follows.

“The rate of change in step S1 is 38%, and the ranking for improvement is second place”
“The rate of change in step S2 is 52%, and the ranking to be improved is first.”
“The rate of change in step S3 is 26%, and the ranking for improvement is third place”
“The rate of change in step S4 is 20%, and the ranking to be improved is fourth”
“The rate of change in step S5 is 5%, and the ranking to be improved is seventh.”
“The rate of change in step S6 is 15%, and the rank to be improved is sixth”
“The fluctuation rate of the process S1 is 18%, and the rank to be improved is the fifth place”
The result as described above is displayed on the display, and from the result, the work process (operation element) having the largest variation rate is S2. And it turns out that the process is the work process which should be improved with the highest priority. Moreover, the process of S1 was ranked 2nd to be improved and the process S3 was ranked 3rd to be improved. In this embodiment of the system, three improvement targets are set as challenges for one operator. The reason is empirical, but the reason is that sufficient countermeasures cannot be taken even if there are too many improvements. As a result, the improvement target of the operator A1 was automatically extracted as S2, S1, and S3 steps to be improved. The process to be improved is devised so that a star mark appears on the right side of the frame.
On the other hand, the administrator can read the display on the display for the automatically extracted result, and can observe, for example, the work status of the first rank to be improved. It is possible to call a video stored and managed in a memory storage location associated with the production management system by pressing the “S2mini” button in FIG. By viewing the video, for example, when the operator grasps the bolt head side in a timely manner, it can be seen that it can be easily set in the hole for inserting the bolt of the vacuum cleaner body. . On the other hand, by pressing the “S2max” button, you can see the video of the most time-consuming work. In other words, the video shows the opposite direction of the bolt when you grab it. You can see how it is changed and then set in the hole. These two images can have two video display frames on one display and have a display function so that they can be viewed at the same time. For example, two windows can be opened at the same time using this function. By observing the video, it is possible to visually search for problems in the first process to be improved. With this video as a hint, the administrator has found that it is an improvement measure to introduce a machine (jig) in which the direction of the bolts is aligned in a certain direction. This process is stable and the working speed is improved. Similarly, improvement measures are devised for the second-order S1 process to be improved and the third-order S3 process to be improved. In this way, work processes that need to be improved for the work of the operator A1 are automatically extracted, and the administrator makes an effort to solve the problem with respect to the automatically extracted work processes, so that the administrator can efficiently Work efficiency can be improved. If necessary, after that, the improvement point of the operator A1 is automatically extracted again by the system of the present invention, whereby the next more detailed portion to be improved is found. In the above-described embodiment, the top three points are always automatically extracted as the points to be improved. However, if the fluctuation rate is 25% or less, it can be determined as good if desired. That is, when the variation rate of the work in all the processes becomes 25% or less due to repeated improvements, a display having the meaning of “there is no work process to be improved by the operator A1” is made.

FIG. 6 means that the same tendency fluctuated in the work processes other than the manual work process S5. Such fluctuations are caused by, for example, computer troubles or other electrical troubles affecting the overall production.
In addition, it is important to exclude information whose work time has greatly changed due to the trouble as described above from the data for calculating the work fluctuation rate. Therefore, not only the fluctuations of individual movement elements are monitored, but also the fluctuation rates of other movement elements measured at the same time are monitored with respect to the time axis, and at the same timing, many movement elements have the same rate. If it fluctuates, the float excludes data measured in the same time zone.
In FIG. 6, during the fifth operation, fluctuations appear greatly in the positive direction. That is, this error information removal flow deletes the fifth data and excludes it from the calculation for automatically extracting the points to be improved. By the way, the series of operations described above are achieved by the following data operations.
STEAP01: In an arbitrary production management system, a series of work processes scheduled to be performed by an operator are recorded as a video, and the recorded data is stored as digital data of a computer image in a memory device of the production management system.
STEAP02: An image analysis process is performed on the digital data of the image stored in the memory device in the production management system, and a video of a series of work processes scheduled to be performed by the operator is decomposed for each operation element. For example, a part that can specify an arbitrary operation is determined, the characteristics of the part are registered in the image analysis processing software, and when the part appears, partition information (converted from the start in seconds) That there is information, or that the image data is marked). Since this operation can be performed on software, the operation can be automated. In addition, the image data is automatically divided into partition information (in the case where the information of the video in which the operation elements are divided as described above cannot be obtained, the division processing is performed based on the visual judgment of the administrator).

STEAP03: Performs processing that excludes machine-dependent work processes from the digital data of the video. This process can also analyze the operating state of the machine from the video and automatically process it, for example, recognize from the change in the image that the motor of any machine that has been determined to be monitored in advance has started rotating, At that time, the partition information for starting the skip is assigned in association with the image data, and then the partition information for ending the skip is similarly assigned when the state in which the motor is stopped is recognized from the change of the image. The process between the skip start information and the end information thus obtained is removed from the time required for the work process performed by the operator as a machine-dependent operation element.
STEAP04: Through the processing of STEAP01 to 03, a series of work steps scheduled for measurement performed by the operator is divided for each operation element, and the conditions for measuring the operation time of the operation element depending on the operator are met. The work is performed a plurality of times by the same operator under the same conditions. The number of repetitions should be a convenient number at the production site. For example, it may be the number of times until one lot is completed. In this step (STEAP), it was 5 times. Note that all of the five work steps may be recorded and the above steps 01 to 03 may be executed for all the times.

STEAP05: After the work process for 5 times is completed, the above steps 01 to 03 are executed, and as a result, only the motion element to be measured is extracted, and the work time required for each motion element is automatically calculated from the image data. The completed time for each operation element of each work process is calculated. Then, information on the completed time for each operation element for five times is obtained. At the same time, it is possible to obtain from this information information that has spent the longest time in the same work and information that has completed the work in the shortest time.

STEAP06: If the above-mentioned maximum value (the value with the longest time spent), for example, is repeated, but is concentrated in the last five operations, the maximum 5 Provide program processing that rejects the entire data for the first time. The entire fifth data is excluded from the calculation for automatically extracting the points to be improved (see FIG. 6).

STEAP07: A calculation for automatically extracting a portion to be improved except for the excluded number of times is performed. That is, in the example of step 06, the numerical value of the measurement result of the fifth work process is not adopted, and the minimum value and maximum value information are calculated from the first to fourth times.
STEAP08: As a result of the processing in the above program, the minimum value (the value when the work is completed earliest) and the maximum value (the value when the work is completed earliest) and the maximum (the same time is the most time) Partition information (information such as the number of seconds converted from the start, or so that the image information when the minimum value is obtained can be seen immediately, or This means marking the image data)
For example, a sign is given to a series of videos from the start to the end of the image, and the sign is displayed on, for example, a button (displayed in FIG. 5 or FIG. 7) on the display on which the program is executed. S1 mini, S1 max, S2 mini, S2 max, S3 mini, S3 max, S4 mini, S4 max, S5 mini, S5 max).
STEAP09: All of the series of steps described above are expressed on the display on which the program is executed. As an example, as shown in FIG. 5, an operation screen for executing a program is provided. This figure shows that a specific operator must repeat the first series and then improve the operating elements that have problems that must be improved first as a result of repeating the same series of tasks five times. It ranks second with respect to the motion elements that do not become. The order is divided into the operation elements as described above for the work repeated five times, and the movement element has the largest variation, that is, the time variation from the start to the completion of the work is large. For example, the simplest calculation method is to compare the shortest processing time for each motion element with the longest processing time and calculate the rate of change. , Ranked first from the one with the highest fluctuation rate. In addition, as described in step 08 above, the video processed in the shortest for each operation element and the video processed in the longest are clicked with a mouse or the like on the display, and the video corresponding to the button is the same. It can be seen as a video at any position on the display (the video of work is not shown).

  In the above steps 01 to 09, one embodiment of a system for automatically extracting operation elements to be improved from the work process is disclosed for the work process of one operator. Next, we will explain an example of finding a place to improve from the results of the above work.

FIG. 7 shows the results obtained from the group-by-group measurement results in which the results of a total of three operators A1 to A3 in group A are shown. On the upper side of the figure, in step S1, the order of improvement for operator A1 is second, the order of improvement for operator A2 is second, and the order of improvement for operator A3 is second. It means that it was. These processes to be improved are automatically extracted for each operator, and the results are introduced in the table of FIG. And as a result of three people of S1 process, it has shown that the rank which should be improved was the 2nd place. On the display screen,
“S1 = 2nd, 3rd, 2nd, → 2nd” is simply displayed.

  As a result of performing the same processing as described above for S2 and subsequent steps, it is shown that the S2 step is the first step as a step to be improved in group units. When S3 is the third place in the group unit and the calculation is performed in the group unit, the mark of ☆ blinks on the display screen of the computer, and the process to be improved most is displayed. The display of the operation screen has been devised so that the place to be improved is not overlooked, for example, the first place to be improved is displayed in red if necessary.

  By the way, the meaning of extracting the points to be improved in the group unit is simply a problem unique to the operator only by extracting the process to be improved in the unit of the operator. The point to be improved changes depending on the compatibility of work. On the other hand, when a point to be improved in group units is found, it is possible to find a point to be improved more generally. Whether to give priority to the process to be improved in this group or to give priority to the point to be improved in individual units is freely selected by the manager.

  Furthermore, it is also possible to add an item for the administrator to input an evaluation with numbers or words for the results of the process to be improved automatically extracted in units of groups or operators. That is the button H drawn on the display in FIG. Moreover, when calculating the above-mentioned variation rate, the above-mentioned was exemplified 5 times, but a larger number of samples can be performed as necessary. Then, by performing a large number of times, it is possible to weight the fluctuation rate calculated above from the distribution of the obtained data. This weighting method can be entered by entering the numerical value and free character string by accessing the button H with a mouse or the like, and the administrator enters the numerical value of the evaluation value or the evaluation in words for the input part of H. be able to. With the above system, locations to be improved can be automatically extracted and weights such as manager's experience can be weighted so that locations to be further improved can be found accurately.

  On the other hand, the display is arranged so that the operator can freely view the processes to be improved so that not only the administrator but also the operator can freely browse. By doing so, even if there is no instruction from the administrator, the operator himself can know which process has a part to be improved, and the operator himself can feed back the problem part, so that better work can be done. It can be expected to be achieved.

  In the above embodiment, the work process is recorded as an image or image-processed in real time, so that each operation element is decomposed, and the time measurement of the decomposed work process is automatically processed. However, there are jobs that are difficult to measure automatically by image processing. For example, an IC tag system can be introduced so that even if it is hidden, it can be confirmed even if it is hidden. This IC tag system is a small-sized transmission / reception type electronic device that reacts to a specific signal and returns the result as a radio wave signal. A transmitter / receiver is installed on a moving object such as a foot or a foot, and when the transmitter / receiver approaches the IC tag by a predetermined distance, it automatically recognizes that the moving object has approached the IC tag. By using such a mechanism, it is possible to automatically measure the time required for the work process even for the work process incapable of image processing. On the other hand, if these automatic measurements are difficult, the start and end buttons are placed in the vicinity of the worker for each work process, and the time spent for each process by the worker himself / herself is used as an input to the button (computer input). It can be obtained by inputting (which can be substituted).

  An object of the present invention is to find work elements that can still be improved from data obtained by a production management system. Further, it is not necessary to be a dedicated system for finding such work processes that can be improved, and it is desirable to incorporate the system into various production management systems. Also, by recording images of work, the administrator can distinguish between superior and inferior work situations. Therefore, it is possible to share the same system by using it together with a security system that performs image processing.

The block diagram which shows the work content and work procedure in operator A1 in A group of workers. The table | surface which shows the example of an analysis of the process which carries the 1st body at hand among the work processes of operator A1. The table | surface which shows the example of an analysis of the 2nd work process among the work processes of operator A1. The table | surface which shows the example of an analysis of the 3rd work process among the work processes of operator A1. It is a block diagram in which the analysis results of the operator A1 are totaled, and is also used in common with a display unit that is also used for a display screen of a computer on which an administrator performs work. The graph which totaled the result which performed the operation | work similar to the measurement of FIG. 1 thru | or FIG. 5 with respect to operator A2, made each work result into a line graph, and showed the area part formed with the line by the oblique line. It is a block diagram which totaled the result performed by a total of three operators A1 to A3 in the A group, and is also in common with a display unit also used for a display screen of a computer on which an administrator works.

Explanation of symbols

A1 ... Operator
A2 ... Operator
A3 ... Operator S1 ... The process of transporting the product body to hand (operational element).
S2: A step of removing the bolt from the box and inserting it into the hole of the body (operational element).
S3: A step of determining and pressing the position of the body (operational element).
S4: Step of picking up the electric tool (operational element).
S5: The electric tool is switched on and a bolt tightening start process (operational element).
S6: A step of lifting the electric tool and returning it to a predetermined position (operation element).
S7: A step (operation element) of returning the body, which has been bolted, to the line.
H ... Button drawn on the display

Claims (5)

  A system that is used in addition to a production management system that monitors the time required for an operator's work process, wherein the series of work processes scheduled to be measured are disassembled into at least a plurality of operation elements, Execute work multiple times, measure the working time of each work process for each operating element, store the measurement result in the storage device, compare the stored measurement results for each operating element and fluctuate Working from the work process, which is characterized by obtaining the rate, comparing the rate of change obtained for each motion element, and automatically extracting the motion factor that showed at least one maximum rate of change A system that automatically extracts operational elements to be improved from the process.   In the course of calculating the rate of change, all the processes except for work processes that depend on the machine, and processing that excludes the data in which the same tendency is changed from the value calculated when the rate of change is obtained The system which extracts automatically the operation | movement element which should be improved from the work process of Claim 1.   The work process to be improved is automatically extracted from an operator unit by analyzing the work process to be measured with respect to a single worker, and the work process is improved from the work processes according to claim 1. A system that automatically extracts power elements to be operated.   It is characterized in that the order of improvement is determined by comparing the calculation results of the operation elements of the work to be improved and displayed on the computer screen so as to stand out in the order of the work processes that need to be improved. The system which extracts automatically the operation | movement element which should be improved from the work process in any one of Claims 1 thru | or 3.   By carrying out the work of the above work process multiple times by a group composed of multiple people, the influence of one individual's individuality is averaged and reduced, so that the operating elements that need to be improved are obtained in units of groups 5. A system for automatically extracting operation elements to be improved from the work process according to claim 1.

Images