JP7620813B2 - Work management system, work evaluation method, and work evaluation program - Google Patents

Description

This disclosure relates to a work management system, a work evaluation method, and a work evaluation program.

For example, in Patent Document 1, when a production problem occurs during production, the work error caused by the worker's work is identified. This makes it possible to restrict the work of the worker who performed that work.

International Publication No. 2015/111151

However, it is sometimes unclear which worker and which task an error, such as a production problem, is related to, and identifying the cause can take time or require the use of advanced analytical equipment.

Therefore, this disclosure provides a work management system that can easily determine the cause of an error that has occurred.

A work management system according to one aspect of the present disclosure includes an acquisition unit that acquires work information related to a plurality of tasks performed on a production device by at least one worker, identification information of the at least one worker related to the plurality of tasks, and error information indicating an error that has occurred on the production device, and a calculation unit that calculates a work evaluation value related to the error based on the acquired error information, the work information acquired prior to the error information, and the identification information.

These comprehensive or specific aspects may be realized by a system, an apparatus, a method, a recording medium, or a computer program, or may be realized by any combination of a system, an apparatus, a method, a recording medium, and a computer program.

The work management system and other systems disclosed herein can easily determine the cause of an error that has occurred.

FIG. 1 is a configuration diagram illustrating an example of a work management system according to an embodiment. 4 is a flowchart illustrating an example of an operation of the work management system according to the embodiment. 11 is a diagram for explaining an example of work information and identification information acquired before acquired error information. FIG. 13 is a graph showing an example of a task evaluation value.

The work management system disclosed herein includes an acquisition unit that acquires work information related to a plurality of tasks performed on a production device by at least one worker, identification information of the at least one worker related to the plurality of tasks, and error information indicating an error that has occurred on the production device, and a calculation unit that calculates a work evaluation value related to the error based on the acquired error information, the work information acquired prior to the error information, and the identification information.

According to this, when an error occurs, a task evaluation value related to the error is calculated based on task information and identification information acquired before the error occurred and considered to be highly relevant to the error. For example, the task evaluation value is calculated for each task or worker, and the task or worker that caused the error can be determined based on the task evaluation value. Therefore, the cause of the error that occurred can be easily determined.

The calculation unit may also calculate the work evaluation value based on a coefficient that is set based on the correlation between the work information and the error.

According to this, tasks that are highly related to errors are highly likely to be the cause of the error. For this reason, a coefficient is set that makes it easier to determine that tasks that are highly related to errors, or the worker who performed the task, are the cause of the error, and a task evaluation value is calculated based on this coefficient, making it possible to accurately determine the cause of the error that has occurred.

The calculation unit may also calculate the work evaluation value based on a coefficient set from the work handling time included in the work information and the error occurrence time included in the error information.

According to this, a task that was addressed close to the time the error occurred is highly likely to be the cause of the error. For this reason, a coefficient is set that makes it more likely that a task that was addressed close to the time the error occurred, or the worker who performed that task, will be determined to be the cause of the error, and a task evaluation value is calculated based on this coefficient, making it possible to accurately determine the cause of the error that occurred.

The calculation unit may also calculate the work evaluation value based on a coefficient set corresponding to the worker's working period.

According to this, work performed by workers with short employment periods is highly likely to be the cause of an error. For this reason, a coefficient is set that makes it easier to determine that workers with short employment periods, or the work they performed, are the cause of an error, and a work evaluation value is calculated based on this coefficient, making it possible to accurately determine the cause of an error that has occurred.

The system may further include a creation unit that creates work evaluation information indicating an evaluation of the at least one worker based on the calculated work evaluation value.

This allows workers to check the evaluation of the work they have done, allowing them to improve their work in the future.

The work evaluation information may also include information for updating work skill information indicating the work skills of the at least one worker.

In this way, the work evaluation value is calculated using the updated work skill information, making it possible to accurately determine the cause of the error that occurred.

The task evaluation information may also include training information for the task related to the error.

This allows for training of workers and allows for improvements to be made to their work in the future.

The work evaluation method disclosed herein includes acquiring work information related to a plurality of tasks performed on a production device by at least one worker, identification information of the at least one worker related to the plurality of tasks, and error information indicating an error that has occurred on the production device, and calculating a work evaluation value related to the error based on the acquired error information and the work information and identification information acquired prior to the error information.

This provides a work evaluation method that can easily determine the cause of any errors that occur.

In addition, the calculation may calculate the work evaluation value based on a coefficient that is set based on the correlation between the work information and the error.

According to this, tasks that are highly related to errors are highly likely to be the cause of the error. For this reason, a coefficient is set that makes it easier to determine that tasks that are highly related to errors, or the worker who performed the task, are the cause of the error, and a task evaluation value is calculated based on this coefficient, making it possible to accurately determine the cause of the error that has occurred.

In addition, the calculation may be performed by calculating the work evaluation value based on a coefficient set from the work handling time included in the work information and the error occurrence time included in the error information.

According to this, a task that was addressed close to the time the error occurred is highly likely to be the cause of the error. For this reason, a coefficient is set that makes it more likely that a task that was addressed close to the time the error occurred, or the worker who performed that task, will be determined to be the cause of the error, and a task evaluation value is calculated based on this coefficient, making it possible to accurately determine the cause of the error that occurred.

In addition, the calculation may be performed based on a coefficient set in accordance with the worker's working period.

According to this, work performed by workers with short employment periods is highly likely to be the cause of an error. For this reason, a coefficient is set that makes it easier to determine that workers with short employment periods, or the work they performed, are the cause of an error, and a work evaluation value is calculated based on this coefficient, making it possible to accurately determine the cause of an error that has occurred.

The method may further include creating work evaluation information indicating an evaluation of the at least one worker based on the calculated work evaluation value.

This allows workers to check the evaluation of the work they have done, allowing them to improve their work in the future.

The work evaluation information may also include information for updating work skill information indicating the work skills of the at least one worker.

In this way, the work evaluation value is calculated using the updated work skill information, making it possible to accurately determine the cause of the error that occurred.

The task evaluation information may also include training information for the task related to the error.

This allows for training of workers and allows for improvements to be made to their work in the future.

The work evaluation program disclosed herein is a program that causes a computer to execute the above work evaluation method.

This makes it possible to provide a task evaluation program that can easily determine the cause of any errors that occur.

The embodiments described below are all comprehensive or specific examples. The numerical values, shapes, materials, components, the arrangement and connection of the components, steps, and order of steps shown in the following embodiments are merely examples and are not intended to limit the present disclosure.

(Embodiment)
Hereinafter, an embodiment will be described with reference to FIG. 1 to FIG.

Figure 1 is a configuration diagram showing an example of a work management system 10 according to an embodiment. In addition to the work management system 10, Figure 1 also shows a production device 20 and a mobile terminal 30 that are connected to the work management system 10 so as to be able to communicate with each other via wired or wireless communication.

The production device 20 is a mounting device having a feeder and a nozzle, etc., and a printing device, etc., and is equipped with a working unit 21, an identification unit 22, an input unit 23, a communication unit 24, and a memory unit 25.

The work unit 21 is a component that performs work in the production device 20, and for example performs mounting or printing through the work of a worker. Work information (e.g., equipment logs, etc.) related to work performed on the production device 20 is stored in the storage unit 25. The work information may be stored in the storage unit 25 by directly inputting the work content by the worker. If an error occurs in the production device 20, error information indicating the error that occurred in the production device 20 is stored in the storage unit 25. The work content may be identified by an image or video obtained by photographing the worker while working with a camera or the like, or an image or video obtained by photographing with smart glasses worn by the worker while working, and the identification result indicating the work content may be stored in the storage unit 25 as work information.

The identification unit 22 is a component that identifies a worker who performs work on the production device 20, and identifies the worker by, for example, fingerprint authentication, iris authentication, or face authentication. The identification information of the identified worker is stored in the memory unit 25.

The input unit 23 is a component through which the worker performs input operations for the production device 20, and is, for example, a touch panel. For example, the input operations are performed by operating the screen. Note that the input operations may also be performed using a keyboard or the like. Furthermore, the identification information of the worker may be directly input via the input unit 23 and stored in the storage unit 25.

The communication unit 24 is a communication interface for communicating with the work management system 10 via wired or wireless communication. The communication unit 24 periodically transmits work information and identification information to the work management system 10, and transmits error information to the work management system 10 when an error occurs.

The mobile terminal 30 is a terminal that is handled by a worker. For example, work information or identification information may be input to the mobile terminal 30, and the work information or identification information may be transmitted from the mobile terminal 30 to the work management system 10.

The work management system 10 is a system that manages multiple tasks performed on the production equipment 20 by at least one worker. The multiple tasks may be multiple tasks performed by one worker, or multiple tasks performed by multiple workers. In the latter case, the multiple workers may include a worker who performs only one task.

Here we explain some examples of the work that workers do.

On the production floor, workers perform tasks such as splicing, supplying parts to autoload feeders, arranging feeders, smoothing out solder, cleaning empty tape boxes, dealing with recognition errors, dealing with suction errors, and dealing with transport errors.

The splicing process involves joining the tape from a new reel to the tape from an old reel that has been supplied with stored components and is running low on tape, so that the new reel can continue to supply components from the old reel. Specifically, the worker cuts off the leading end of the tape from the new reel and the trailing end of the tape from the old reel with scissors. The worker then brings the leading end of the tape from the new reel and the trailing end of the tape from the old reel together at the cut, and applies an adhesive tape to join them together.

The task of supplying parts to an autoload feeder involves replenishing the autoload feeder, which is attached to production equipment, with tape from a reel. Specifically, the worker cuts off the end of the tape from the reel to the section where the parts are stored. Next, the worker operates a switch to open the shutter of the tape insertion port of the autoload feeder, opening the shutter, and inserts the reel tape with the end cut off into the tape insertion port. Once the tape has been set, the worker operates a switch to start automatic transport, which begins automatic transport.

The feeder placement work is the work of attaching a tape feeder to a production device. Specifically, the worker attaches the tape feeder to a cart that is attached to the production device. The worker then attaches a reel to the cart to which the tape feeder is attached.

Solder seasoning involves stirring the solder used in screen printing equipment and similar devices. Solder is stored in a refrigerator and becomes hard, so it is necessary to stir the solder after taking it out of the refrigerator before use. Depending on the type of solder, the worker stirs the solder for about 5 to 10 minutes until it becomes soft enough.

The task of cleaning empty tape boxes involves cleaning the empty tape boxes that are attached to a cart that is attached to the production equipment and in which empty tape that has been emptied after parts have been supplied is stored. Specifically, the worker removes the empty tape box that has accumulated empty tape from the cart and cleans the empty tape box by discarding the empty tape. The worker then attaches the cleaned empty tape box to the cart.

The work to deal with a recognition error is the work to be done when a recognition error occurs in the camera installed in the production device. For example, a recognition error occurs when a part photographed by the camera is not in the correct position or orientation in the recognition image, or when the cover glass of the camera is dirty. In such cases, the worker will deal with the recognition error by adjusting the position, inclination, or settings of the camera, adjusting the position or inclination of the nozzle that holds the part, removing dirt from the nozzle, or wiping off dirt from the cover glass of the camera. In addition, a recognition error (specifically, a recognition error of the recognition mark of the board) will occur, for example, when the setting of the recognition mark of the board preset in the production device is incorrect, or when the board stopping position is misaligned. In such cases, the worker will deal with the recognition error by correcting the setting of the recognition mark or adjusting the position of the board.

The response work for a pickup error is the work carried out when a nozzle pickup error occurs. For example, when a pickup error occurs, the worker's response work for the pickup error is to check whether the setting for the nozzle's component pickup position is correct, and to correct the setting if it is not correct. Also, for example, when a pickup error occurs, the worker's response work for the pickup error is to adjust the pickup speed setting to an appropriate speed.

The work to deal with board transport errors is the work done when a board transport error occurs. For example, a board transport error occurs when the belt that transports the board or the guide for the transported board is dirty. In such a case, the worker cleans the belt or guide as a work to deal with the board transport error. Also, for example, a board transport error occurs when the board detection sensor of the conveyor detects a board even though it has not detected one. In such a case, the worker checks whether the board detection sensor is dirty and wipes off the dirt if it is dirty as a work to deal with the board transport error.

The work management system 10 may be a computer located on the production floor where the production device 20 is installed, or may be a computer such as a server located outside the production floor. The work management system 10 may be a device installed in one housing, or may be a system divided into two or more housings and realized by two or more computers. When the work management system 10 is realized by two or more computers, the components that make up the work management system 10 may be distributed and installed on two or more computers.

The work management system 10 includes an acquisition unit 11, a calculation unit 12, a creation unit 13, a display unit 14, a communication unit 15, and a storage unit 16. The work management system 10 is realized by a computer including a processor, memories such as a ROM (Read Only Memory) and a RAM (Random Access Memory), a communication interface, and a user interface. The acquisition unit 11, the calculation unit 12, and the creation unit 13 are realized by the processor operating according to a program stored in the memory. The display unit 14 is a user interface such as a display. The communication unit 15 is a communication interface for communicating with the production device 20 and the mobile terminal 30 by wire or wirelessly. The memory in which the program is stored may be the storage unit 16, or may be a memory separate from the storage unit 16.

The acquisition unit 11 acquires work information related to multiple tasks performed on the production device 20 by at least one worker, identification information of at least one worker related to the multiple tasks, and error information indicating an error that has occurred on the production device 20.

The calculation unit 12 calculates a task evaluation value related to the error based on the acquired error information and the task information and identification information acquired prior to the error information.

The creation unit 13 creates work evaluation information indicating an evaluation for at least one worker based on the calculated work evaluation value.

The display unit 14 displays the work evaluation value or work evaluation information.

The communication unit 15 receives work information, identification information, and error information from the production device 20, receives work information and identification information from the mobile terminal 30, and transmits work evaluation information to the mobile terminal 30.

The memory unit 16 stores the work skill information and the evaluation value calculation algorithm. The calculation unit 12 calculates the work evaluation value using the evaluation value calculation algorithm. The calculation unit 12 may also calculate the work evaluation value using the work skill information.

The details of the acquisition unit 11, calculation unit 12, and creation unit 13 are described using FIG. 2.

Figure 2 is a flowchart showing an example of the operation of the work management system 10 according to the embodiment.

First, the acquisition unit 11 acquires the work information and the identification information (step S11). Specifically, the acquisition unit 11 periodically acquires the work information and the identification information from the production device 20 or the mobile terminal 30.

Next, when an error occurs in the production device 20, the acquisition unit 11 acquires error information from the production device 20 (step S12). The processing from step S12 onwards is performed when the acquisition unit 11 acquires the error information.

Next, the calculation unit 12 calculates a task evaluation value related to the error based on the acquired error information and the task information and identification information acquired prior to the acquired error information (step S13). Here, an example of task information and identification information acquired prior to the acquired error information is described with reference to FIG. 3.

Figure 3 is a diagram for explaining an example of work information and identification information acquired prior to the acquired error information. In Figure 3, the horizontal axis represents time, and at "0" a part recognition error occurs in the production device 20, and the acquisition unit 11 acquires error information indicating the recognition error. For example, the work information and identification information acquired prior to the error information includes information indicating that splicing work was performed before the recognition error occurred, and specifically, that suction position teaching, feeder confirmation, nozzle confirmation, part/reel confirmation, and data confirmation were performed by workers A, B, and C.

The calculation unit 12 calculates the work evaluation value using the work information and identification information acquired before the error information, such as work information about the suction position teach and the identification information of the worker who performed the suction position teach, work information about the feeder check and the identification information of the worker who performed the feeder check, work information about the nozzle check and the identification information of the worker who performed the nozzle check, work information about the part/reel check and the identification information of the worker who performed the part/reel check, and work information about the data check and the identification information of the worker who performed the data check. The calculation unit 12 also calculates the work evaluation value using the work information and identification information acquired before the error information, for example, 15 minutes immediately prior to the occurrence of the error.

As shown in FIG. 3, it can be determined from the work information and identification information acquired prior to the error information that between 10 and 15 minutes ago, worker C checked the parts/reel, worker B checked the data, between 5 and 10 minutes ago, worker A checked the feeder, worker B checked the nozzle, and between 0 and 5 minutes ago, worker A taught the suction position. The calculation unit 12 calculates the work evaluation value using this work information and identification information and the evaluation value calculation algorithm. Specifically, the calculation unit 12 calculates the work evaluation value as shown in FIG. 4.

Figure 4 is a graph showing an example of a task evaluation value. For example, Figure 4 shows a method for calculating the task evaluation value for each worker, and indicates that a worker with a high task evaluation value is more likely to be the cause of an error.

For example, the calculation unit 12 calculates the work evaluation value based on the work performance coefficient set corresponding to the worker's working period. For example, the shorter the worker's working period, the larger the work performance coefficient. Specifically, if the working period for the work (here, splicing work) that is the subject of the calculation of the work evaluation value is 2 to 3 years, the work performance coefficient is set to 0.2, if it is 1 to 2 years, the work performance coefficient is set to 0.4, if it is 0.5 to 1 year, the work performance coefficient is set to 0.6, if it is 0.1 to 0.5 years, the work performance coefficient is set to 0.8, and if it is less than 0.1 year, the work performance coefficient is set to 1.0. The shorter the working period, the more likely the worker is to be unfamiliar with the work and to make errors, so the calculated work evaluation value is likely to be large. Here, the working period of worker A is 2 to 3 years, and the work performance coefficient is 0.2. The working period of worker B is 0.5 to 1 year, and the work performance coefficient is 0.6. Worker C's employment period is less than 0.1 years, and his/her work performance coefficient is 1.0.

For example, the calculation unit 12 calculates the work evaluation value based on a time coefficient set from the work handling time included in the work information and the error occurrence time included in the error information. For example, the closer the work handling time is to the error occurrence time, the larger the time coefficient becomes. Specifically, if the work handling time of the work (here, each work in the splicing work) that is the subject of the calculation of the work evaluation value is 10 to 15 minutes before the error occurrence time, the time coefficient is set to 1.3, if it is 5 to 10 minutes before, the time coefficient is set to 1.4, and if it is 0 to 5 minutes before, the time coefficient is set to 1.5. The closer the work handling time is to the error occurrence time, the more likely it is to be the cause of the error, so the calculated work evaluation value is likely to be larger. Note that when one worker is performing multiple tasks, the sum of the time coefficients for each task becomes the time coefficient for that worker. Here, since worker A performed the suction position teach 0 to 5 minutes before and the feeder check 5 to 10 minutes before, the time coefficient is 2.9 (1.5 + 1.4). Operator B checked the nozzle 5 to 10 minutes ago and the data 10 to 15 minutes ago, so his time coefficient is 2.7 (1.4 + 1.3). Operator C checked the parts/reel 10 to 15 minutes ago, so his time coefficient is 1.3.

For example, the calculation unit 12 calculates the work evaluation value based on the attribution coefficient set from the relevance between the work information and the error. For example, the attribution coefficient becomes larger as the relevance of the work content to the error increases. Specifically, for a recognition error, if the work content is pickup position teach, the attribution coefficient is set to 1.0, if it is feeder check, the attribution coefficient is set to 1.0, if it is nozzle check, the attribution coefficient is set to 1.0, if it is part/reel check, the attribution coefficient is set to 4.0, and if it is data check, the attribution coefficient is set to 1.0. The more highly related the work is to the error, the more likely it is to be the cause of the error, and the larger the calculated work evaluation value is. Note that when one worker performs multiple tasks, the average of the attribution coefficients for each task becomes the attribution coefficient for that worker. Here, since worker A performs pickup position teach and feeder check, the attribution coefficient is 1.0 ((1.0 + 1.0) / 2). Furthermore, since worker B performed nozzle check and data check, the attribution coefficient is 1.0 ((1.0 + 1.0) / 2). Furthermore, since worker C performed part/reel check, the attribution coefficient is 4.0. Furthermore, the attribution coefficient may be updated based on the actual cause of the error using a coefficient that is predetermined for each error. For example, the attribution coefficient is calculated using a formula or machine learning so that the attribution coefficient of the work that caused the error is large. The actual cause of the error is estimated from the worker's input or the work in which the error was resolved, and the estimated actual cause of the error is used to update the attribution coefficient.

The calculation unit 12 then calculates the work evaluation value by multiplying the work performance coefficient, time coefficient, and attribution coefficient for each worker. Specifically, the calculation unit 12 calculates the work evaluation value of worker A as 0.2 x 2.9 x 1.0 = 0.58, the work evaluation value of worker B as 0.6 x 2.7 x 1.0 = 1.62, and the work evaluation value of worker C as 1.0 x 1.3 x 4.0 = 5.2. The calculation unit 12 outputs the calculated work evaluation value. For example, the calculation unit 12 outputs the calculated work evaluation value to the creation unit 13. The calculation unit 12 may output the calculated work evaluation value to the display unit 14 so that the work evaluation value is displayed, or may output the calculated work evaluation value to a mobile terminal 30 or the like via the communication unit 15 so that the work evaluation value can be confirmed by the worker or the like via the mobile terminal 30 or the like.

Returning to the explanation in FIG. 2, the creation unit 13 then creates work evaluation information indicating an evaluation for at least one worker based on the work evaluation value calculated by the calculation unit 12 (step S14).

For example, the work evaluation information includes information on the quality or poor quality of a worker's work or the high or low level of the work. Specifically, based on the work evaluation values shown in FIG. 4, the creation unit 13 creates work evaluation information such as worker A's work evaluation is good (or the work level is high), worker B's work evaluation is average (or the work level is average), and worker C's work evaluation is bad (or the work level is low).

Also, for example, the work evaluation information includes information for updating work skill information indicating the work skills of at least one worker. Specifically, the creation unit 13 creates work evaluation information for updating the work skill information stored in the storage unit 16 so as to increase the work skill of worker A or decrease the work skill of worker C based on the work evaluation value shown in FIG. 4. The work skill information may be used to calculate the work evaluation value, and for example, a work performance coefficient may be set based on the work skill information. Specifically, the work performance coefficient of a worker with low work skill may be set to be low.

For example, the work evaluation information also includes training information for the work related to the error. Specifically, the creation unit 13 creates training information for the worker C who performed the work most related to the error, based on the work evaluation value shown in FIG. 4, to have the worker C undergo education and training or OJT (On the Job Training). Note that a random coefficient may be applied when calculating the work evaluation value so that the same worker is not repeatedly selected as the target of training.

Then, the creation unit 13 outputs the created work evaluation information (step S15). For example, the creation unit 13 outputs the work evaluation information to the display unit 14, or to the mobile terminal 30 via the communication unit 15. This allows the worker to check the work evaluation or work level, or to provide education and training or OJT to workers with high work evaluation values (workers thought to be the cause of errors). Note that multiple workers with high work evaluation values may be selected, and education and training or OJT may be provided to multiple workers.

Here, an example in which a task evaluation value is calculated for each worker has been described, but a task evaluation value for each task may be calculated. For example, in the example shown in FIG. 3, the task evaluation value of the pickup position teach is calculated as 0.3 from a work performance coefficient of 0.2, a time coefficient of 1.5, and an attribution coefficient of 1.0. The task evaluation value of the feeder check is calculated as 0.28 from a work performance coefficient of 0.2, a time coefficient of 1.4, and an attribution coefficient of 1.0. The task evaluation value of the nozzle check is calculated as 0.84 from a work performance coefficient of 0.6, a time coefficient of 1.4, and an attribution coefficient of 1.0. The task evaluation value of the part/reel check is 5.2 from a work performance coefficient of 1.0, a time coefficient of 1.3, and an attribution coefficient of 4.0. The task evaluation value of the data check is calculated as 0.78 from a work performance coefficient of 0.6, a time coefficient of 1.3, and an attribution coefficient of 1.0. From these task evaluation values, the task most related to the error is part/reel checking, and for example, training or on-the-job training is provided to worker C who performed the part/reel checking.

Although the calculation of the task evaluation value for recognition errors has been described here, task evaluation values are calculated for various errors that occur, not just recognition errors.

The timing of the education and training or OJT may be the same as the timing when the work evaluation information is output, or may be when the education information is created and output to the worker at a specified time such as the start or end time of production. The work evaluation information may also be output to a team leader or supervisor who manages production, and the education and training or OJT may be performed at the discretion of the team leader or supervisor.

As described above, when an error occurs, a task evaluation value related to the error is calculated based on task information and identification information acquired before the error occurred and considered to be highly relevant to the error. For example, the task evaluation value is calculated for each task or worker, and the task or worker that caused the error can be determined based on the task evaluation value. Therefore, the cause of the error that occurred can be easily determined, enabling high-level task leveling.

Other Embodiments
Although the work management system 10 of the present disclosure has been described based on the embodiment, the present disclosure is not limited to the above embodiment. As long as it does not deviate from the spirit of the present disclosure, various modifications conceivable by a person skilled in the art to the present embodiment and forms constructed by combining components of different embodiments are also included within the scope of the present disclosure.

For example, in the above embodiment, an example was described in which a work performance coefficient, a time coefficient, and an attribution coefficient were used to calculate the work evaluation value, but it is not necessary to use all of these coefficients, or other coefficients may be used.

For example, in the above embodiment, the work management system 10 is described as having the creation unit 13, but the work management system 10 does not need to have the creation unit 13. In other words, work evaluation information does not need to be created.

For example, the present disclosure can be realized not only as a work management system 10, but also as a work evaluation method including steps (processing) performed by each component that makes up the work management system 10.

As shown in FIG. 2, the work evaluation method includes acquiring work information related to multiple tasks performed on a production device by at least one worker, identification information of at least one worker related to the multiple tasks, and error information indicating an error that occurred on the production device (steps S11 and S12), and calculating a work evaluation value related to the error based on the acquired error information and the work information and identification information acquired prior to the error information (step S13).

For example, the steps in the task evaluation method may be executed by a computer (computer system). The present disclosure can be realized as a program for causing a computer to execute the steps included in the task evaluation method. Furthermore, the present disclosure can be realized as a non-transitory computer-readable recording medium, such as a CD-ROM, on which the program is recorded.

For example, when the present disclosure is realized as a program (software), each step is performed by executing the program using hardware resources such as a computer's CPU, memory, and input/output circuits. In other words, each step is performed by the CPU acquiring data from memory or input/output circuits, etc., performing calculations, and outputting the results of the calculations to memory or input/output circuits, etc.

Furthermore, each component included in the work management system 10 of the above embodiment may be realized as a dedicated or general-purpose circuit.

In addition, each component included in the work management system 10 of the above embodiment may be realized as an LSI (Large Scale Integration), which is an integrated circuit (IC).

In addition, the integrated circuit is not limited to an LSI, and may be realized by a dedicated circuit or a general-purpose processor. A programmable FPGA (Field Programmable Gate Array) or a reconfigurable processor in which the connections and settings of circuit cells inside the LSI can be reconfigured may be used.

Furthermore, if an integrated circuit technology that can replace LSIs emerges due to advances in semiconductor technology or other derived technologies, it is natural that each component included in the work management system 10 may be integrated into an integrated circuit using that technology.

In addition, this disclosure also includes forms obtained by applying various modifications to the embodiments that a person skilled in the art may conceive, and forms realized by arbitrarily combining the components and functions of each embodiment within the scope of the spirit of this disclosure.

This disclosure can be used, for example, to manage production floors.

REFERENCE SIGNS LIST 10 Work management system 11 Acquisition unit 12 Calculation unit 13 Creation unit 14 Display unit 15 Communication unit 16 Memory unit 20 Production device 21 Work unit 22 Identification unit 23 Input unit 24 Communication unit 25 Memory unit 30 Mobile terminal

Claims (15)

an acquisition unit that acquires task information relating to a plurality of tasks performed by at least one worker on a production device, identification information of the at least one worker related to the plurality of tasks, and error information indicating an error that has occurred in the production device;
A work management system comprising: a calculation unit that calculates a work evaluation value related to the error based on the acquired error information, the work information acquired prior to the error information, and the identification information. The work management system according to claim 1, wherein the calculation unit calculates the work evaluation value based on a coefficient set based on the correlation between the work information and the error. The work management system according to claim 1 or 2, wherein the calculation unit calculates the work evaluation value based on a coefficient set from the work handling time included in the work information and the error occurrence time included in the error information. The work management system according to any one of claims 1 to 3, wherein the calculation unit calculates the work evaluation value based on a coefficient set corresponding to the worker's working period. The work management system according to any one of claims 1 to 4 further comprises a creation unit that creates work evaluation information indicating an evaluation of the at least one worker based on the calculated work evaluation value. The work management system according to claim 5, wherein the work evaluation information includes information for updating work skill information indicating the work skills of the at least one worker. The work management system according to claim 5 or 6, wherein the work evaluation information includes training information for the work related to the error. 1. A computer-implemented task evaluation method, comprising:
Acquire task information relating to a plurality of tasks performed by at least one worker on a production device, identification information of the at least one worker related to the plurality of tasks, and error information indicating an error that has occurred in the production device;
An activity evaluation method comprising: calculating an activity evaluation value related to the error based on the acquired error information, the activity information acquired prior to the error information, and the identification information. The work evaluation method according to claim 8, wherein the work evaluation value is calculated based on a coefficient set based on the correlation between the work information and the error. The work evaluation method according to claim 8 or 9, wherein the work evaluation value is calculated based on a coefficient set from the work handling time included in the work information and the error occurrence time included in the error information. A work evaluation method according to any one of claims 8 to 10, wherein the work evaluation value is calculated based on a coefficient set corresponding to the worker's working period. The work evaluation method according to any one of claims 8 to 11, further comprising creating work evaluation information indicating an evaluation of the at least one worker based on the calculated work evaluation value. The work evaluation method according to claim 12, wherein the work evaluation information includes information for updating work skill information indicating the work skills of the at least one worker. The work evaluation method according to claim 12 or 13, wherein the work evaluation information includes training information for the work related to the error. 15. An activity evaluation program for causing a computer to execute the activity evaluation method according to claim 8.

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