JP2021124769A - Work efficiency support system, work efficiency support method, work efficiency support server, and computer program - Google Patents

Abstract

To provide a work efficiency support system, a work efficiency support method, a work efficiency support server, and a computer program capable of predicting a lowering of work quality in advance and preventing a deterioration of work quality by objectively determining a fatigue level of a worker regardless of whether or not the worker feels tired.SOLUTION: Fatigue level information indicating a fatigue level of each worker is acquired, and information about the worker is generated for each worker based on the fatigue level information. The generated information about the worker is transmitted to an administrator computer for managing the worker. The information about the worker is generated based on the fatigue level information with a quality parameter as a variable that includes at least one piece of information about frequency of defective products in a work process by the worker, information about a period engaged in the work process, information about a career ladder system, information about transition of the work process, and information about a non-responsibility period of the work process.SELECTED DRAWING: Figure 3

Description

The present invention relates to a work efficiency support system, a work efficiency support method, a work efficiency support server, and a computer program capable of predicting a deterioration of work quality based on the degree of fatigue of a worker in advance and preventing deterioration of work quality.

Due to labor shortages or the progress of AI / IoT, it is necessary to maintain high work efficiency of each worker in order to survive as a human resource required by a company. From the management's point of view, there is also an urgent need to reduce the risk of hiring human resources.

On the other hand, communication between the manager and the employer and between the employer is becoming weak, and it is becoming difficult to grasp the health condition and the degree of fatigue of the employer. Therefore, it is important to visualize the health condition and fatigue level of employees by quantifying them, reduce the defective rate at the production site, and avoid work stagnation in advance.

For example, many methods for calculating the degree of fatigue of workers have been developed to improve the efficiency of work by calculating the degree of fatigue of workers. In particular, the degree of fatigue of workers is quantified by grasping the state of the autonomic nerves as information directly related to fatigue.

Patent Document 1 discloses a fatigue determination device that determines the degree of fatigue based on the state of the autonomic nerves of an operator. In Patent Document 1, an index value indicating the state of the autonomic nerve in a state in which a stimulus that does not induce fatigue and a state in which a stimulus is not given is calculated, and the fatigue state is determined based on the amount of change in the two index values.

JP-A-2019-170665

The fatigue determination device disclosed in Patent Document 1 calculates the degree of fatigue of an operator based on the degree of imbalance of the autonomic nerves, and determines whether or not fatigue is accumulated. However, there is a problem that the degree of fatigue cannot be calculated when the worker is not feeling tired, and the risk of being unable to afford to feel fatigue due to an increase in work load cannot be detected in advance. .. In addition, it is conceivable that the accumulation of fatigue causes a decrease in work efficiency or an increase in vacations for the worker, which causes a decrease in the efficiency of the entire work and hinders the work.

The present invention has been made in view of such circumstances, and by objectively determining the degree of fatigue of a worker regardless of whether or not the worker himself feels fatigue, a deterioration in work quality can be made in advance. It is an object of the present invention to provide a work efficiency support system, a work efficiency support method, a work efficiency support server, and a computer program capable of predicting and preventing deterioration of work quality.

Further, the present invention is a work efficiency support system capable of predicting deterioration of work quality in advance and preventing deterioration of work quality by determining an evaluation value of the degree of fatigue of a worker with a probability of being tired. , A work efficiency support method, a work efficiency support server, and a computer program.

In order to achieve the above object, the work efficiency support system according to the present invention is a fatigue degree information acquisition means for acquiring fatigue degree information indicating the fatigue degree for each worker, and work for each worker based on the fatigue degree information. In a work efficiency support system having a worker information generating means for generating information about a person and a worker information transmitting means for transmitting the generated information about the worker to an administrator computer that manages the worker, the worker The information generation means is at least one of information on the frequency of occurrence of defective products in the work process of the worker, information on the engagement period of the work process, information on the job system, information on the transition of the work process, and information on the non-in charge period of the work process. A work efficiency support system characterized in that information about the worker is generated based on the fatigue degree information with a quality parameter including the above as a variable.

Further, in the work efficiency support system according to the present invention, the worker information generating means includes a fatigue degree determining means for determining whether or not the fatigue degree information is equal to or higher than the first threshold value for each worker, and the fatigue. It is preferable to generate information for urging the change of the worker whose fatigue degree information is determined to be equal to or higher than the first threshold value by the degree determination means.

Further, in the work efficiency support system according to the present invention, the worker information generating means determines whether or not the fatigue degree information is less than the first threshold value and greater than or equal to the second threshold value smaller than the first threshold value. Substitute workers for the fatigue degree determining means for each worker and the worker who is determined by the fatigue degree determining means that the fatigue degree information is less than the first threshold value and greater than or equal to the second threshold value. It is preferable to generate information that instructs to prepare the system.

Further, the work efficiency support system according to the present invention includes a warning information generating means for generating warning information for the worker and a warning transmitting means for transmitting the generated warning information to the worker computer used by the worker. The warning information generating means includes a fatigue degree determining means for determining whether or not the fatigue degree information is equal to or higher than the first threshold value for each operator, and the fatigue degree determining means for which the fatigue degree information is the first. It is preferable to provide a generation means for generating warning information prompting the worker to stop the work for the worker determined to be equal to or more than one threshold value.

Further, the work efficiency support system according to the present invention includes a warning information generating means for generating warning information for the worker and a warning transmitting means for transmitting the generated warning information to the worker computer used by the worker. The warning information generating means is a fatigue degree determining means for determining whether or not the fatigue degree information is less than the first threshold value and equal to or more than the second threshold value smaller than the first threshold value. , A generation means for generating warning information for issuing an instruction to confirm work accuracy for a worker who is determined by the fatigue degree determination means that the fatigue degree information is less than the first threshold value and equal to or more than the second threshold value. It is preferable to provide with.

Next, in order to achieve the above object, the work efficiency support system according to the present invention includes fatigue degree information indicating the degree of fatigue for each worker, including at least autonomic nerve balance information for each worker, and the work process of the worker. Acquisition of process performance information including at least one of information on the frequency of occurrence of defective products, information on the working period of the work process, information on the job system, information on the transition of the work process, and information on the non-in charge period of the work process as teacher data. The above-mentioned acquired in a work efficiency support system including a teacher data acquisition means for performing and a worker information transmitting means for transmitting an administrator computer that manages the worker, information about a worker generated based on the teacher data. A trained engine that calculates a work quality value that indicates the degree to which a worker affects the quality of work using a machine-learned prediction model based on teacher data, and a work quality value calculated by the trained engine. It is characterized by providing a worker information generation means for generating information about the worker for each worker based on the above.

Further, the work efficiency support system according to the present invention further includes information on the work start state for each worker for each work process and information on the alternative worker including the working time as the teacher data in the trained engine. , The first work quality value when the worker continuously works and the second work quality value when the worker takes turns working for a predetermined work process are calculated, respectively, and the first work quality value is calculated. The work quality determination means for determining whether or not the second work quality value is larger than the first work quality value, and the second work quality value is larger than the first work quality value in the work quality determination means. When it is determined, the worker information generation means preferably generates information for prompting a change.

Next, in order to achieve the above object, the work efficiency support method according to the present invention includes a step of acquiring fatigue degree information indicating the fatigue degree of each worker and a worker for each worker based on the fatigue degree information. A computer that includes a process of generating information about a worker and a process of transmitting the generated information about a worker to an administrator computer that manages the worker, and sends an instruction to the administrator computer according to the degree of fatigue of the worker. In the work efficiency support method that can be executed by the above-mentioned computer, the computer has information on the frequency of occurrence of defective products in the work process of the worker, information on the engagement period of the work process, information on the job system, information on the transition of the work process, It is characterized in that information about the worker based on the fatigue degree information is generated with a quality parameter including at least one of information about the non-in charge period of the work process as a variable.

Next, in order to achieve the above object, the work efficiency support method according to the present invention includes fatigue degree information indicating the degree of fatigue for each worker, including at least autonomic nerve balance information for each worker, and the work process of the worker. Acquire process performance information including at least one of information on the frequency of occurrence of defective products, information on the working period of the work process, information on the job system, information on the transition of the work process, and information on the non-in charge period of the work process as teacher data. Including the process of transmitting the process and the process of transmitting the information about the worker generated based on the teacher data to the manager computer that manages the worker, and instructing the manager computer according to the degree of fatigue of the worker. In the work efficiency support method that can be executed by the transmitting computer, the computer uses a prediction model machine-learned based on the acquired teacher data to determine the degree to which the worker affects the quality of work. It has a trained engine for calculating the indicated work quality value, and is characterized in that information about the worker is generated for each worker based on the work quality value calculated by the trained engine.

Next, in order to achieve the above object, the work efficiency support server according to the present invention is a fatigue degree information acquisition means for acquiring fatigue degree information indicating the fatigue degree for each worker, and a worker based on the fatigue degree information. In a work efficiency support server having a worker information generation means for generating information about a worker for each, the worker information generation means provides information on the frequency of occurrence of defective products in the worker's work process and the engagement period of the work process. To generate information about the worker based on the fatigue level information, using a quality parameter including at least one of information about, information about the job system, information about the transition of the work process, and information about the non-in charge period of the work process as a variable. It is a feature.

Further, in the work efficiency support server according to the present invention, the worker information generating means includes a fatigue degree determining means for determining whether or not the fatigue degree information is equal to or higher than the first threshold value for each worker, and the fatigue. It is preferable to generate information for urging the change of the worker whose fatigue degree information is determined to be equal to or higher than the first threshold value by the degree determination means.

Further, in the work efficiency support server according to the present invention, the worker information generating means determines whether or not the fatigue degree information is less than the first threshold value and greater than or equal to the second threshold value smaller than the first threshold value. Substitute workers for the fatigue degree determining means for each worker and the worker who is determined by the fatigue degree determining means that the fatigue degree information is less than the first threshold value and greater than or equal to the second threshold value. It is preferable to generate information that instructs them to prepare.

Further, the work efficiency support server according to the present invention includes a warning information generating means for generating warning information for the worker, and the warning information generating means determines whether or not the fatigue degree information is equal to or higher than the first threshold value. To generate warning information for urging the work to be stopped for the fatigue degree determining means for determining each worker and the worker for whom the fatigue degree information is determined to be equal to or higher than the first threshold value by the fatigue degree determining means. It is preferable to provide means.

Further, the work efficiency support server according to the present invention includes a warning information generating means for generating warning information for the worker, and the warning information generating means has the fatigue degree information less than the first threshold value and the first threshold value. A fatigue degree determining means for determining whether or not it is equal to or greater than a second threshold value smaller than the threshold value of It is preferable to provide a generation means for generating warning information that gives an instruction to confirm the work accuracy for the worker determined to be the above.

Next, in order to achieve the above object, the work efficiency support server according to the present invention has fatigue degree information indicating the degree of fatigue for each worker, including at least autonomic nerve balance information for each worker, and the work process of the worker. Acquisition of process performance information including at least one of information on the frequency of occurrence of defective products, information on the working period of the work process, information on the job system, information on the transition of the work process, and information on the non-in charge period of the work process as teacher data. In the work efficiency support server provided with the teacher data acquisition means, the work quality value indicating the degree to which the worker affects the work quality is calculated by using the prediction model machine-learned based on the acquired teacher data. It is characterized by including a learned engine and a worker information generating means for generating information about a worker for each worker based on a work quality value calculated by the learned engine.

Further, the work efficiency support server according to the present invention further includes information on the work start state for each worker for each work process and information on the alternative worker including the working time as the teacher data in the trained engine. , The first work quality value when the worker continuously works and the second work quality value when the worker takes turns working for a predetermined work process are calculated, respectively, and the first work quality value is calculated. A work quality determination means for determining whether or not the second work quality value is larger than the first work quality value is provided, and the second work quality value is higher than the first work quality value in the work quality determination means. When it is determined that the size is large, it is preferable that the worker information generating means generate information for prompting the change.

Next, in order to achieve the above object, the work efficiency support server according to the present invention has fatigue degree information indicating the fatigue degree for each worker including at least autonomic nerve balance information for each worker, and the work process of the worker. Acquire process performance information including at least one of information on the frequency of occurrence of defective products, information on the working period of the work process, information on the job system, information on the transition of the work process, and information on the non-in charge period of the work process as teacher data. In the work efficiency support server provided with the teacher data acquisition means, the work quality value indicating the degree to which the worker affects the work quality is calculated by using the prediction model machine-learned based on the acquired teacher data. It is characterized by including a work quality value acquisition means for acquiring a work quality value from a learned engine and a worker information generation means for generating information about a worker for each worker based on the acquired work quality value.

Further, the work efficiency support server according to the present invention further includes information on the work start state for each worker for each work process and information on the alternative worker including the working time as the teacher data in the trained engine. For the calculated predetermined work process, the first work quality value when the worker continuously works and the second work quality value when the worker takes turns to work are acquired. The work quality determination means for determining whether or not the second work quality value is larger than the first work quality value is provided, and the second work quality value is the first work in the work quality determination means. When it is determined that the quality value is larger than the quality value, it is preferable that the worker information generating means generate information for prompting the change.

Next, in order to achieve the above object, the computer program according to the present invention includes a fatigue level information acquisition means for acquiring fatigue level information indicating the fatigue level of each worker, and each worker based on the fatigue level information. In a computer program that can be executed by a work efficiency support server having a worker information generating means for generating information about a worker, the worker information generating means is used for the frequency of occurrence of defective products in the worker's work process. The worker based on the fatigue level information with a quality parameter including at least one of information, information on the working period of the work process, information on the job system, information on the transition of the work process, and information on the non-in charge period of the work process as variables. It is characterized by functioning as a means for generating information about.

Further, in the computer program according to the present invention, the worker information generating means is used as a fatigue degree determining means for determining whether or not the fatigue degree information is equal to or higher than the first threshold value for each worker, and the fatigue degree determination. It is preferable that the worker who is determined by the means to have the fatigue degree information equal to or higher than the first threshold value functions as a generation means for generating information for prompting a change.

In addition, the computer program according to the present invention uses the worker information generation means to determine whether or not the fatigue level information is less than the first threshold value and greater than or equal to the second threshold value smaller than the first threshold value. A substitute worker is prepared for the fatigue degree determination means for each determination and the worker for which the fatigue degree information is determined to be less than the first threshold value and greater than or equal to the second threshold value by the fatigue degree determination means. It is preferable to function as a generation means for generating information instructing the user to do so.

Further, the computer program according to the present invention causes the work efficiency support server to function as a warning information generating means for generating warning information for the worker, and the fatigue degree information is the first threshold value for the warning information generating means. The fatigue degree determining means for determining whether or not the above is the case for each worker, and the worker who is determined by the fatigue degree determining means that the fatigue degree information is equal to or higher than the first threshold value are urged to stop the work. It is preferable to function as a generation means for generating warning information.

Further, the computer program according to the present invention causes the work efficiency support server to function as a warning information generating means for generating warning information for the worker, and the fatigue degree information is the first threshold value for the warning information generating means. Fatigue degree determining means for determining whether or not it is less than, and more than or equal to the second threshold value smaller than the first threshold value, and the fatigue degree information by the fatigue degree determining means is less than the first threshold value. It is preferable that the worker who is determined to be equal to or higher than the second threshold value functions as a generation means for generating warning information for issuing an instruction for confirming the work accuracy.

Next, in order to achieve the above object, the computer program according to the present invention uses the work efficiency support server with fatigue level information indicating the fatigue level for each worker, including at least autonomic nerve balance information for each worker, and work. Process performance information including at least one of information on the frequency of occurrence of defective products in a person's work process, information on the engagement period of the work process, information on the job system, information on the transition of the work process, and information on the non-in charge period of the work process. In a computer program that functions as a teacher data acquisition means for acquiring as teacher data and a worker information transmission means for transmitting information about a worker generated based on the teacher data to an administrator computer that manages the worker. The work efficiency support server has a trained engine that calculates a work quality value indicating the degree to which a worker affects the work quality by using a prediction model machine-learned based on the acquired teacher data. The work efficiency support server is characterized by functioning as a worker information generation means for generating information about a worker for each worker based on a work quality value calculated by the learned engine.

Further, the computer program according to the present invention further includes information on the work start state for each worker for each work process and information on the alternative worker including the working time as the teacher data, and uses the work efficiency support server. In the trained engine, for a predetermined work process, the first work quality value when the worker continuously works and the second work quality value when the worker takes turns working are set. The means for calculating, the work quality determination means for determining whether or not the second work quality value is larger than the first work quality value, and the work quality determination means for which the second work quality value is the first. When it is determined that the work quality value is larger than that of the above, it is preferable that the worker information generating means functions as a generating means for generating information for prompting a change.

Next, in order to achieve the above object, the computer program according to the present invention uses the work efficiency support server with fatigue degree information indicating the degree of fatigue for each worker, including at least autonomic nerve balance information for each worker, and the worker. Information on the frequency of occurrence of defective products in the work process, information on the engagement period of the work process, information on the job system, information on the transition of the work process, process performance information including at least one of the information on the non-in charge period of the work process. In a computer program that functions as a teacher data acquisition means to be acquired as teacher data, the worker affects the quality of work by using the work efficiency support server using a prediction model machine-learned based on the acquired teacher data. A work quality value acquisition means for acquiring a work quality value from a trained engine that calculates a work quality value indicating the degree of giving, and a worker information generation that generates information about a worker for each worker based on the acquired work quality value. It is characterized by functioning as a means.

Further, the computer program according to the present invention further includes information on the work start state for each worker for each work process and information on the alternative worker including the working time as the teacher data, and uses the work efficiency support server. For a predetermined work process calculated in the trained engine, the first work quality value when the worker continuously works, and the second work quality when the worker takes turns working as an alternative worker. The means for acquiring the values, the work quality determination means for determining whether or not the second work quality value is larger than the first work quality value, and the work quality determination means for the second work quality value. When it is determined that the value is larger than the first work quality value, the worker information generating means functions as a generating means for generating information for prompting a change.

According to the present invention, at least fatigue level information necessary for calculating fatigue level such as changes in autonomic nerves, work environment, and motivation of workers, information on the frequency of occurrence of defective products in the work process of workers, and information on the frequency of occurrence of defective products in the work process of workers, Since the information about the worker is generated with the quality parameter including at least one of the information about the working period, the information about the job system, the information about the transition of the work process, and the information about the non-in charge of the work process as a variable, the worker himself is tired. Even if you do not feel the above, it is possible to prevent a decrease in work efficiency due to potential fatigue or a stagnation in work, and it is possible to maximize work efficiency.

Further, according to the present invention, information about the worker is generated by determining the evaluation value of the degree of fatigue of the worker with the probability of being tired, so that the worker himself / herself does not feel tired. However, it is possible to prevent a decrease in work efficiency due to potentially existing fatigue or a stagnation of work, and it is possible to maximize work efficiency.

It is a schematic diagram which shows the structure of the work efficiency support system which concerns on Embodiment 1 of this invention. It is a block diagram which shows typically the structure using the CPU of the work efficiency support server which concerns on Embodiment 1 of this invention. It is a functional block diagram of the work efficiency support server which concerns on Embodiment 1 of this invention. It is a flowchart which shows the processing procedure of the work efficiency support server which concerns on Embodiment 1 of this invention. It is a flowchart which shows the processing procedure of the CPU in the worker information generation part of the work efficiency support server which concerns on Embodiment 1 of this invention. It is a flowchart which shows the other processing procedure of the work efficiency support server which concerns on Embodiment 1 of this invention. It is a flowchart which shows the other processing procedure of the CPU in the worker information generation part of the work efficiency support server which concerns on Embodiment 1 of this invention. It is a flowchart which shows the processing procedure of the warning to the worker of the work efficiency support server which concerns on Embodiment 1 of this invention. It is a flowchart which shows the processing procedure of the CPU in the warning information generation part of the work efficiency support server which concerns on Embodiment 1 of this invention. It is a flowchart which shows the other processing procedure of the warning to the worker itself of the work efficiency support server which concerns on Embodiment 1 of this invention. It is a flowchart which shows the other processing procedure of the CPU in the warning information generation part of the work efficiency support server which concerns on Embodiment 1 of this invention. It is explanatory drawing of the data structure of the worker information storage part of the work efficiency support server which concerns on Embodiment 1 of this invention. It is a schematic diagram which shows the structure of the work efficiency support system which concerns on Embodiment 2 of this invention. It is a block diagram which shows typically the structure using the CPU of the work efficiency support server which concerns on Embodiment 2 of this invention. It is a functional block diagram of the work efficiency support server which concerns on Embodiment 2 of this invention. It is a flowchart which shows the processing procedure of the work efficiency support server which concerns on Embodiment 1 of this invention. It is a flowchart which shows the other processing procedure of the work efficiency support server which concerns on Embodiment 2 of this invention. It is a schematic diagram which shows the structure of the work efficiency support system which concerns on other embodiment of this invention. It is a flowchart which shows the processing procedure of the work efficiency support server which concerns on other embodiment of this invention. It is a flowchart which shows the other processing procedure of the work efficiency support server which concerns on other embodiment of this invention.

Hereinafter, the work efficiency support system according to the embodiment of the present invention will be specifically described with reference to the drawings. The following embodiments do not limit the invention described in the claims, and it is said that all combinations of characteristic matters described in the embodiments are essential matters of the solution. It goes without saying that it is not always the case.

In addition, the present invention can be implemented in many different embodiments and should not be construed as limited to the description of the embodiments. The same elements are designated by the same reference numerals throughout the embodiment.

In the following embodiments, a system in which a computer program is introduced into a computer system will be described, but as is clear from those skilled in the art, the present invention is implemented as a computer program in which a part thereof can be executed by a computer. be able to. Therefore, the present invention is an embodiment as hardware, an embodiment as software, or a combination of software and hardware, which is a work efficiency support system composed of a work efficiency support server, an administrator computer, and the like. It can take the form. The computer program can be recorded on a recording medium that can be read by any computer such as a hard disk, a DVD, a CD, an optical storage device, and a magnetic storage device.

According to the embodiment of the present invention, at least information on the degree of fatigue required for calculating the degree of fatigue such as changes in autonomic nerves, work environment, and motivation of the worker, and information on the frequency of occurrence of defective products in the work process of the worker. Since quality parameters including at least one of information on the working period of the work process, information on the job system, information on the transition of the work process, and information on the non-in charge period of the work process are used as variables, information on the worker is generated. Even if the person himself / herself does not feel tired, it is possible to prevent a decrease in work efficiency due to potential fatigue or a stagnation of work, and it is possible to maximize work efficiency. ..

Further, according to the embodiment of the present invention, the worker feels tired because the information about the worker is generated by determining the work quality value indicating the probability of fatigue of the worker. Even if this is not the case, it is possible to prevent a decrease in work efficiency due to potential fatigue or a stagnation of work, and it is possible to correctly determine when to change workers.

(Embodiment 1)
FIG. 1 is a schematic diagram showing a configuration of a work efficiency support system according to a first embodiment of the present invention. In the first embodiment, the work efficiency support server 1 is connected to the administrator computer 3 and the worker computer 4 so as to be able to perform data communication via the network network 2.

The administrator computer 3 is used by an administrator who manages the process of the operator so as to improve the efficiency of the entire work. In addition, for each worker, at least one information such as information on the frequency of occurrence of defective products in the work process, information on the engagement period of the work process, information on the job system, information on the transition of the work process, information on the non-in charge period of the work process, etc. It is preferable to remember. Of course, these pieces of information may be stored in the worker computer 4 used by the worker, or stored in a computer on a connected network capable of data communication as a cloud computer. Is also good.

The worker computer 4 collects fatigue degree information necessary for calculating the fatigue degree for each worker. Specifically, for example, the face of an operator is imaged with an imaging device to collect information such as complexion and behavior. Based on the collected information, information on the autonomic nerves of each worker is calculated, and the degree of fatigue is calculated from the fatigue index LF / HF.

Here, the LF / HF in the first embodiment is a value obtained as a value indicating the balance between the sympathetic nerve and the parasympathetic nerve from the blood pressure change in the 10-second cycle, for example, by regarding the cycle change of the skin color as a blood change from the image. Is. Of course, as in the conventional case, the power spectral density function may be obtained from the fluctuation of the heartbeat by an electrocardiogram or the like and calculated as the ratio of the low frequency component and the high frequency component.

FIG. 2 is a block diagram schematically showing a configuration using a CPU of the work efficiency support server 1 according to the first embodiment of the present invention. As shown in FIG. 2, the work efficiency support server 1 according to the first embodiment has at least a CPU (central processing unit) 11, a memory 12, a storage device 13, an I / O interface 14, a video interface 15, and a portable disk. It is composed of a drive 16, a communication interface 17, and an internal bus 18 for connecting the above-mentioned hardware.

The CPU 11 is connected to each of the above-mentioned hardware parts of the work efficiency support server 1 via the internal bus 18, controls the operation of each of the above-mentioned hardware parts, and is a computer program 100 stored in the storage device 13. According to, various software functions are executed. The memory 12 is composed of volatile memories such as SDRAM and SDRAM, and a load module is expanded when the computer program 100 is executed to store temporary data and the like generated when the computer program 100 is executed.

The storage device 13 is composed of a built-in fixed storage device (hard disk), a ROM, and the like. The computer program 100 stored in the storage device 13 is downloaded from the portable recording medium 90 such as a DVD or CD-ROM on which information such as programs and data is recorded by the portable disk drive 16, and is downloaded from the storage device 13 at the time of execution. It is expanded to the memory 12 and executed. Of course, it may be a computer program downloaded from an external computer connected via the communication interface 17.

The communication interface 17 is connected to the internal bus 18, and by being connected to an external network such as the Internet, LAN, WAN, etc., data can be transmitted / received to / from an external computer or the like.

The I / O interface 14 is connected to an input device such as a keyboard 21 and a mouse 22, and accepts data input. The video interface 15 is connected to a display device 23 such as a CRT display and a liquid crystal display to display a predetermined image.

FIG. 3 is a functional block diagram of the work efficiency support server 1 according to the first embodiment of the present invention. The fatigue level information acquisition unit 101 shown in FIG. 3 acquires fatigue level information indicating the fatigue level of each worker from the worker computer 4. The fatigue degree information to be acquired is not particularly limited as long as it is the information that is the basis for calculating the fatigue degree.

As the fatigue degree information, for example, information on the autonomic nerves of each worker, deviation values of autonomic nerve functions, and the like are used. In the first embodiment, the face of the worker is imaged by an imaging device to collect information such as complexion and behavior. Based on the collected information, information on the autonomic nerves of each worker is calculated, and the degree of fatigue is calculated from the fatigue index LF / HF.

In addition to fatigue level information, information on the frequency of defective products in the work process of workers, information on the working period of the work process, information on the job system, information on the transition of the work process, information on the non-in charge period of the work process. A quality parameter including at least one of the above is obtained from the administrator computer 3. Of course, when it is stored in the worker computer 4 in real time, it is acquired from the worker computer 4.

The worker information generation unit 102 generates information about the worker for each worker based on the acquired fatigue degree information. Specifically, at least one of information on the frequency of occurrence of defective products in the work process of the worker, information on the engagement period of the work process, information on the job system, information on the transition of the work process, and information on the non-in charge period of the work process. Generate information about the worker based on fatigue level information with the quality parameter including.

The quality parameter is provided because the degree of contribution to the frequency of occurrence of defective products in the work process varies depending on the situation. First, the degree of contribution fluctuates according to the difference in the career of the worker. For example, workers may be divided into newcomers, mid-career workers, and skilled workers, and safety factors may be set for each.

Specifically, it is considered that the more skilled the person is, the less likely the problem will occur. Therefore, the more skilled the person is, the higher the safety factor should be set. For example, the safety factor of mid-level employees may be set to "1.0", the safety factor of newcomers may be set to "0.9", and the safety factor of skilled workers may be set to "1.1". As for the safety factor, the higher the number, the lower the frequency of defects.

The information regarding the engagement period of the work process is a quality parameter applicable to a case where the occurrence rate of defective products greatly differs depending on, for example, the introduction period, the standard period, and the skill period of the work. For example, even an expert may be able to judge that the work experience is equivalent to that of a newcomer if the work is related to a new product. Therefore, it is possible to reflect the influence of the proficiency level of skills and knowledge related to the work process based on the engagement period for each work process. For example, if the engagement period is less than 5 years (excluding the training period), the safety factor is set to "1.0", if it is 5 years or more, the safety factor is set to "1.1", and if it is during the training period, the safety factor is set to "1.0". Is set to "0.9".

The information about the job system is a quality parameter used when the frequency of occurrence of defects varies depending on the job system. For example, the safety factor of the person in charge of the work process is set to "1.0", the safety factor is set to "1.1" because general workers are directly engaged in the work process, and the general manager hardly works. Therefore, the safety factor is set to "0.9".

Information on the transition of a work process can be rephrased as the continuity of a work process. This is a quality parameter that corresponds to an increase in the rate of product occurrence. For example, the safety factor is set to "1.0" in the case of daily work processes, and the safety factor is set to "0.9" when there is a blank in the work for a certain period of time.

Information on the non-in charge period of a work process is a quality parameter corresponding to an increase in the occurrence rate of defective products when the period of non-in charge is longer than a certain period even if the engagement period is long for a predetermined work process. Is. For example, the safety factor is "1.0" for the blank period due to regular leave, the safety factor is "0.8" for having a blank period of several months or more due to maternity leave or childcare leave, and about one week after a long vacation. If there is a blank period, the safety factor is set to "0.9".

The worker information generation unit 102 includes a fatigue degree determination unit 103. For example, the fatigue degree determination unit 103 determines for each operator whether or not the fatigue degree information obtained by multiplying the above-mentioned quality parameters is equal to or greater than the first threshold value.

The fatigue degree determination unit 103 generates information for prompting a change for the worker who is determined that the fatigue degree information is equal to or higher than the first threshold value. The worker information transmitting unit 104 transmits the generated information about the worker to the administrator computer 3 to replace the worker who has accumulated fatigue more than a certain amount even if the worker himself / herself is not aware of it. be able to.

FIG. 4 is a flowchart showing a processing procedure of the work efficiency support server 1 according to the first embodiment of the present invention. As shown in FIG. 4, the CPU 11 of the work efficiency support server 1 according to the first embodiment acquires fatigue degree information indicating the fatigue degree for each worker from the worker computer 4 (step S401). The fatigue degree information to be acquired is not particularly limited as long as it is the information that is the basis for calculating the fatigue degree.

The CPU 11 determines for each operator whether or not the fatigue level information is equal to or higher than the first threshold value (step S402). When the CPU 11 determines that the fatigue level information is smaller than the first threshold value (step S402: NO), the CPU 11 determines that the worker is still in a low fatigue level, and proceeds to step S401. To continue the work process. When the CPU 11 determines that the fatigue level information is equal to or higher than the first threshold value (step S402: YES), the CPU 11 determines that the worker is in a high degree of presentation and prompts the change. Generate (step S403). The CPU 11 transmits the generated information prompting the change to the administrator computer 3 (step S404).

To set the first threshold, information on the frequency of defective products in the work process of the worker, information on the engagement period of the work process, information on the job system, information on the transition of the work process, information on the non-in charge period of the work process. A quality parameter containing at least one of is used as a variable. Specifically, it is multiplied by the first threshold value as a safety factor.

In other words, when the information about the worker is generated, the content of the information about the worker to be generated changes by determining the degree of fatigue in consideration of the quality parameter. The processing procedure of the CPU 11 in the worker information generation unit 102 described above will be described in more detail.

FIG. 5 is a flowchart showing a processing procedure of the CPU 11 in the worker information generation unit 102 of the work efficiency support server 1 according to the first embodiment of the present invention. As shown in FIG. 5, the CPU 11 of the work efficiency support server 1 according to the first embodiment has an average of worker fatigue indexes (LF / HF) during a period in which a problem occurs with respect to a predetermined work process. The quality defect occurrence value, which is a value, is calculated (step S501). Actually, for the average worker, the period until the trouble occurs a plurality of times and the degree of fatigue of the worker are measured.

The CPU 11 obtains a safety factor according to the operator's conditions, and calculates a stable upper limit value, which is the first threshold value, by multiplying the calculated quality defect occurrence value by the above-mentioned safety factor (step S502). For example, when the worker is a skilled worker for the work process, the stable upper limit value is calculated by multiplying the safety factor 1.1.

The CPU 11 acquires the autonomic nerve information of the worker (step S503). Specifically, a face image obtained by capturing the face of a worker during work is analyzed. The CPU 11 calculates a fatigue index (LF / HF) based on the analysis result of the face image (step S504).

The CPU 11 determines whether or not the calculated fatigue index (LF / HF) is equal to or higher than the stable upper limit value (step S505). When the CPU 11 determines that the calculated fatigue index (LF / HF) is smaller than the stable upper limit value (step S505: NO), the CPU 11 returns the process to step S501, recalculates the stable upper limit value, and fluctuates. The process of comparing with the fatigue index (LF / HF) is repeated.

When the CPU 11 determines that the calculated fatigue index (LF / HF) is equal to or higher than the stable upper limit value (step S505: YES), the CPU 11 generates information prompting the worker to change (step S506).

Further, the fatigue degree determination unit 103 may determine for each operator whether or not the fatigue degree information is less than the first threshold value and greater than or equal to the second threshold value smaller than the first threshold value. In this case, the fatigue degree determination unit 103 generates information for instructing a substitute worker to prepare a substitute worker for the worker who is determined that the fatigue degree information is less than the first threshold value and greater than or equal to the second threshold value. do.

By transmitting the generated information about the worker to the administrator computer 3 by the worker information transmitting unit 104, the quality of the work can be deteriorated even if the worker himself / herself still thinks that he / she can do his best. It is possible to detect that the quality is high, and by preparing a substitute, it is possible to prevent the work from being interrupted or stagnant.

FIG. 6 is a flowchart showing another processing procedure of the work efficiency support server 1 according to the first embodiment of the present invention. As shown in FIG. 6, the CPU 11 of the work efficiency support server 1 according to the first embodiment acquires fatigue degree information indicating the fatigue degree for each worker from the worker computer 4 (step S601). The fatigue degree information to be acquired is not particularly limited as long as it is the information that is the basis for calculating the fatigue degree.

The CPU 11 determines for each operator whether or not the fatigue degree information is less than the first threshold value and more than or equal to the second threshold value (step S602). When the CPU 11 determines that the fatigue level information is smaller than the second threshold value (step S602: NO), the CPU 11 determines that the worker is still in a low fatigue level, and proceeds to step S601. To continue the work process. If the CPU 11 determines that the fatigue level information is less than the first threshold value and greater than or equal to the second threshold value (step S602: YES), the CPU 11 may need to be replaced soon for the worker. Is high, and generates information instructing to prepare a substitute worker (step S603). The CPU 11 transmits information to the administrator computer 3 instructing the generation of a substitute worker to be prepared (step S604).

To set the first threshold, information on the frequency of occurrence of defective products in the work process of the worker, information on the engagement period of the work process, information on the job system, information on the transition of the work process, information on the non-in charge period of the work process. A quality parameter containing at least one of is used as a variable. Specifically, it is multiplied by the first threshold value as a safety factor. The second threshold value is not particularly limited as long as it is smaller than the first threshold value, but may be multiplied by a coefficient indicating a constant ratio (for example, "0.9"). The value of the coefficient is preferably determined based on statistical actual data.

FIG. 7 is a flowchart showing another processing procedure of the CPU 11 in the worker information generation unit 102 of the work efficiency support server 1 according to the first embodiment of the present invention. As shown in FIG. 7, the CPU 11 of the work efficiency support server 1 according to the first embodiment has an average of worker fatigue indexes (LF / HF) during a period in which a problem occurs with respect to a predetermined work process. The quality defect occurrence value, which is a value, is calculated (step S701). Actually, for the average worker, the period until the trouble occurs a plurality of times and the degree of fatigue of the worker are measured.

The CPU 11 obtains a safety factor according to the operator's conditions, and calculates the stability upper limit value, which is the first threshold value, by multiplying the calculated quality defect occurrence value by the above-mentioned safety factor (step S702). For example, when the worker is an expert in the work process, the first stable upper limit value is calculated by multiplying the safety factor 1.1.

The CPU 11 multiplies the first stable upper limit value, which is the first threshold value, by a predetermined coefficient to calculate the second stable upper limit value, which is the second threshold value (step S703). For example, the second stable upper limit is calculated by multiplying the first threshold by a coefficient of 0.9.

The CPU 11 acquires the autonomic nerve information of the worker (step S704). Specifically, a face image obtained by capturing the face of a worker during work is analyzed. The CPU 11 calculates a fatigue index (LF / HF) based on the analysis result of the face image (step S705).

The CPU 11 determines whether or not the calculated fatigue index (LF / HF) is less than the first stable upper limit value and more than or equal to the second stable upper limit value (step S706). When the CPU 11 determines that the calculated fatigue index (LF / HF) is smaller than the second stable upper limit value (step S706: NO), the CPU 11 returns the process to step S701, and returns the process to the first stable upper limit value and the first stable upper limit value. The process of recalculating the second stable upper limit value and comparing it with the fluctuating fatigue index (LF / HF) is repeated.

When the CPU 11 determines that the calculated fatigue index (LF / HF) is less than the first stable upper limit value and more than or equal to the second stable upper limit value (step S706: YES), the CPU 11 uses a substitute worker. Generate information that gives instructions to prepare (step S707).

Depending on the content of the information about the worker, it is more effective to send it to the worker computer 4 used by the worker in order to notify the worker directly instead of sending it to the administrator computer 3. There is also. In this case, the work efficiency support server 1 according to the first embodiment sends the warning information generation unit 105 that generates warning information for the worker and the generated warning information to the worker computer 4 that the worker uses. It has a warning information transmitting unit 106 to be transmitted.

For example, the warning information generation unit 105 also has a fatigue degree determination unit 103 that determines for each operator whether or not the fatigue degree information is equal to or higher than the first threshold value. The fatigue level determination unit 103 generates warning information for urging the worker to stop the work for the worker who is determined that the fatigue level information is equal to or higher than the first threshold value.

By transmitting the warning information prompting the worker to stop the work to the worker computer 4, the warning information transmitting unit 106 can know the fact that his / her fatigue level has exceeded the limit point even if the worker himself / herself is not aware of it. By stopping the work, it is possible to protect the health and avoid the occurrence of mistakes and failures.

FIG. 8 is a flowchart showing a procedure for processing a warning to the worker himself / herself of the work efficiency support server 1 according to the first embodiment of the present invention. As shown in FIG. 8, the CPU 11 of the work efficiency support server 1 according to the first embodiment acquires fatigue degree information indicating the fatigue degree for each worker from the worker computer 4 (step S801). The fatigue degree information to be acquired is not particularly limited as long as it is the information that is the basis for calculating the fatigue degree.

The CPU 11 determines for each operator whether or not the fatigue level information is equal to or higher than the first threshold value (step S802). When the CPU 11 determines that the fatigue level information is smaller than the first threshold value (step S802: NO), the CPU 11 determines that the worker is still in a low fatigue level, and proceeds to step S801. To continue the work process. When the CPU 11 determines that the fatigue level information is equal to or higher than the first threshold value (step S802: YES), the CPU 11 generates warning information prompting the worker to stop the work (step S803). The CPU 11 transmits the generated warning information prompting the worker to stop the work to the worker computer 4 used by the worker (step S804).

To set the first threshold, information on the frequency of defective products in the work process of the worker, information on the engagement period of the work process, information on the job system, information on the transition of the work process, information on the non-in charge period of the work process. A quality parameter containing at least one of is used as a variable. Specifically, it is multiplied by the first threshold value as a safety factor.

In other words, the content of the generated warning information changes by determining the degree of fatigue in consideration of the quality parameter when generating the warning information as in the case of generating the information about the worker. The processing procedure of the CPU 11 in the worker information generation unit 102 described above will be described in more detail.

FIG. 9 is a flowchart showing a processing procedure of the CPU 11 in the warning information generation unit 105 of the work efficiency support server 1 according to the first embodiment of the present invention. As shown in FIG. 9, the CPU 11 of the work efficiency support server 1 according to the first embodiment has an average of worker fatigue indexes (LF / HF) during a period in which a problem occurs with respect to a predetermined work process. The quality defect occurrence value, which is a value, is calculated (step S901). Actually, for the average worker, the period until the trouble occurs a plurality of times and the degree of fatigue of the worker are measured.

The CPU 11 obtains a safety factor according to the operator's conditions, and calculates a stable upper limit value, which is the first threshold value, by multiplying the calculated quality defect occurrence value by the above-mentioned safety factor (step S902). For example, when the worker is a skilled worker for the work process, the stable upper limit value is calculated by multiplying the safety factor 1.1.

The CPU 11 acquires the autonomic nerve information of the worker (step S903). Specifically, a face image obtained by capturing the face of a worker during work is analyzed. The CPU 11 calculates a fatigue index (LF / HF) based on the analysis result of the face image (step S904).

The CPU 11 determines whether or not the calculated fatigue index (LF / HF) is equal to or higher than the stable upper limit value (step S905). When the CPU 11 determines that the calculated fatigue index (LF / HF) is smaller than the stable upper limit value (step S905: NO), the CPU 11 returns the process to step S901, recalculates the stable upper limit value, and fluctuates. The process of comparing with the fatigue index (LF / HF) is repeated.

When the CPU 11 determines that the calculated fatigue index (LF / HF) is equal to or higher than the stable upper limit value (step S905: YES), the CPU 11 generates warning information prompting the work to be stopped (step S906).

Further, the fatigue degree determination unit 103 may determine for each operator whether or not the fatigue degree information is less than the first threshold value and greater than or equal to the second threshold value smaller than the first threshold value. In this case, the fatigue degree determination unit 103 issues an instruction to confirm the work accuracy of the worker who is determined that the fatigue degree information is less than the first threshold value and greater than or equal to the second threshold value smaller than the first threshold value. Generate warning information.

By transmitting the warning information to the worker computer 4 in which the warning information transmitting unit 106 issues an instruction to confirm the work accuracy, the worker knows the fact that his / her fatigue has accumulated considerably even if he / she is not aware of it. By checking the work contents, it is possible to prevent careless mistakes caused by fatigue.

FIG. 10 is a flowchart showing another processing procedure of the warning to the worker himself / herself of the work efficiency support server 1 according to the first embodiment of the present invention. As shown in FIG. 10, the CPU 11 of the work efficiency support server 1 according to the first embodiment acquires fatigue degree information indicating the fatigue degree for each worker from the worker computer 4 (step S1001). The fatigue degree information to be acquired is not particularly limited as long as it is the information that is the basis for calculating the fatigue degree.

The CPU 11 determines for each operator whether or not the fatigue level information is less than the first threshold value and more than or equal to the second threshold value (step S1002). When the CPU 11 determines that the fatigue level information is smaller than the second threshold value (step S1002: NO), the CPU 11 determines that the worker is still in a low fatigue level, and proceeds to step S1001. To continue the work process. If the CPU 11 determines that the fatigue level information is less than the first threshold value and greater than or equal to the second threshold value (step S1002: YES), the CPU 11 may need to be replaced soon for the worker. Is high, warning information for issuing an instruction to confirm the work accuracy is generated (step S1003).

To set the first threshold, information on the frequency of occurrence of defective products in the work process of the worker, information on the engagement period of the work process, information on the job system, information on the transition of the work process, information on the non-in charge period of the work process. A quality parameter containing at least one of is used as a variable. Specifically, it is multiplied by the first threshold value as a safety factor. The second threshold value is not particularly limited as long as it is smaller than the first threshold value, but may be multiplied by a coefficient indicating a constant ratio (for example, "0.9").

FIG. 11 is a flowchart showing another processing procedure of the CPU 11 in the warning information generation unit 105 of the work efficiency support server 1 according to the first embodiment of the present invention. As shown in FIG. 11, the CPU 11 of the work efficiency support server 1 according to the first embodiment has an average of worker fatigue indexes (LF / HF) during a period in which a problem occurs with respect to a predetermined work process. The quality defect occurrence value, which is a value, is calculated (step S1101). Actually, for the average worker, the period until the trouble occurs a plurality of times and the degree of fatigue of the worker are measured.

The CPU 11 obtains a safety factor according to the operator's condition, and calculates a stable upper limit value, which is the first threshold value, by multiplying the calculated quality defect occurrence value by the above-mentioned safety factor (step S1102). For example, when the worker is an expert in the work process, the first stable upper limit value is calculated by multiplying the safety factor 1.1.

The CPU 11 multiplies the first stable upper limit value, which is the first threshold value, by a predetermined coefficient to calculate the second stable upper limit value, which is the second threshold value (step S1103). For example, the second stable upper limit is calculated by multiplying the first threshold by a coefficient of 0.9.

The CPU 11 acquires the autonomic nerve information of the worker (step S1104). Specifically, a face image obtained by capturing the face of a worker during work is analyzed. The CPU 11 calculates a fatigue index (LF / HF) based on the analysis result of the face image (step S1105).

The CPU 11 determines whether or not the calculated fatigue index (LF / HF) is less than the first stable upper limit value and more than or equal to the second stable upper limit value (step S1106). When the CPU 11 determines that the calculated fatigue index (LF / HF) is less than the second stable upper limit value (step S1106: NO), the CPU 11 returns the process to step S1101 and returns the process to the first stable upper limit value and the first stable upper limit value. The process of recalculating the second stable upper limit value and comparing it with the fluctuating fatigue index (LF / HF) is repeated.

When the CPU 11 determines that the calculated fatigue index (LF / HF) is less than the first stable upper limit value and more than or equal to the second stable upper limit value (step S1106: YES), the CPU 11 confirms the work accuracy. Generate warning information to give an instruction (step S1107).

The worker who can be replaced for each work process may be stored in the storage device 13. Of course, it goes without saying that it may be stored in the administrator computer 3.

When storing in the worker information storage unit 131 of the storage device 13 of the work efficiency support server 1, information on the frequency of occurrence of defective products in the work process of the worker, information on the engagement period of the work process, and information on the job system for each work process. , It is preferable to store information on the transition of the work process and information on the non-in charge period of the work process.

FIG. 12 is an exemplary diagram of the data structure of the worker information storage unit 131 of the work efficiency support server 1 according to the first embodiment of the present invention. As shown in FIG. 12, the safety factor of the worker is stored for each work process.

For example, the worker AB has a low skill level in the work process A and a short working period, so that the safety factor is less than 1.0. Therefore, the first threshold value and the second threshold value of the degree of fatigue become smaller, the replacement time can be advanced, and it becomes possible to act to prepare the replacement personnel earlier.

As described above, according to the work efficiency support system according to the first embodiment, at least the fatigue level information necessary for calculating the fatigue level such as changes in the autonomic nerves, the work environment, and the motivation of the worker, and the worker's fatigue level information. A quality parameter containing at least one of information on the frequency of occurrence of defective products in the work process, information on the engagement period of the work process, information on the job system, information on the transition of the work process, and information on the non-in charge period of the work process is used as a variable. Since information about the worker is generated, even if the worker does not feel tired, it is possible to prevent a decrease in work efficiency due to potential fatigue or a stagnation of work, and the work efficiency can be prevented. Can be maximized.

(Embodiment 2)
FIG. 13 is a schematic view showing the configuration of the work efficiency support system according to the second embodiment of the present invention. The configuration of the work efficiency support system according to the second embodiment is the same as that of the first embodiment, in which the work efficiency support server 1 can perform data communication via the network 2, the administrator computer 3 and the worker. Computer 4 is connected.

Since the administrator computer 3 and the worker computer 4 are the same as those in the first embodiment, detailed description thereof will be omitted.

Here, the LF / HF in the second embodiment is the same as that in the first embodiment, for example, the cycle change of the skin color is regarded as a blood change from the image, and the blood pressure change in the 10-second cycle is the balance of the sympathetic nerve and the parasympathetic nerve. It is a value obtained as a value indicating. Of course, as in the conventional case, the power spectral density function may be obtained from the fluctuation of the heartbeat by an electrocardiogram or the like and calculated as the ratio of the low frequency component and the high frequency component.

FIG. 14 is a block diagram schematically showing a configuration using a CPU of the work efficiency support server 1 according to the second embodiment of the present invention. As shown in FIG. 14, the work efficiency support server 1 according to the second embodiment has at least a CPU (central processing unit) 11, a memory 12, a storage device 13, an I / O interface 14, a video interface 15, and a portable disk. It is composed of a drive 16, a communication interface 17, and an internal bus 18 for connecting the above-mentioned hardware.

The CPU 11 is connected to each of the above-mentioned hardware parts of the work efficiency support server 1 via the internal bus 18, controls the operation of each of the above-mentioned hardware parts, and is a computer program 100 stored in the storage device 13. According to, various software functions are executed. The memory 12 is composed of volatile memories such as SDRAM and SDRAM, and a load module is expanded when the computer program 100 is executed to store temporary data and the like generated when the computer program 100 is executed.

The storage device 13 is composed of a built-in fixed storage device (hard disk), a ROM, and the like. The computer program 100 stored in the storage device 13 is downloaded from the portable recording medium 90 such as a DVD or CD-ROM on which information such as programs and data is recorded by the portable disk drive 16, and is downloaded from the storage device 13 at the time of execution. It is expanded to the memory 12 and executed. Of course, it may be a computer program downloaded from an external computer connected via the communication interface 17.

The storage device 13 includes a trained engine 132. The teacher data of the trained engine 132 is the same as in the first embodiment, the fatigue degree information indicating the fatigue degree for each worker including the autonomic nerve balance information for each worker, and the occurrence of defective products in the work process of the worker. It is process performance information including at least one of information on frequency, information on working period of work process, information on job system, information on transition of work process, and information on non-in charge period of work process.

The trained engine 132 outputs a work quality value indicating the degree to which the worker affects the work quality. Specifically, it is output as a probability value at which a defect occurs in consideration of the degree of fatigue of the operator.

The communication interface 17 is connected to the internal bus 18, and by being connected to an external network such as the Internet, LAN, WAN, etc., data can be transmitted / received to / from an external computer or the like.

The I / O interface 14 is connected to an input device such as a keyboard 21 and a mouse 22, and accepts data input. The video interface 15 is connected to a display device 23 such as a CRT display and a liquid crystal display to display a predetermined image.

FIG. 15 is a functional block diagram of the work efficiency support server 1 according to the second embodiment of the present invention. The teacher data acquisition unit 141 of FIG. 15 acquires fatigue degree information indicating the fatigue degree of each worker from the worker computer 4 as teacher data. The fatigue degree information to be acquired is not particularly limited as long as it is the information that is the basis for calculating the fatigue degree.

As the fatigue degree information, for example, information on the autonomic nerves of each worker, deviation values of autonomic nerve functions, and the like are used. In the first embodiment, the face of the worker is imaged by an imaging device to collect information such as complexion and behavior. Based on the collected information, information on the autonomic nerves of each worker is calculated, and the degree of fatigue is calculated from the fatigue index LF / HF.

In addition to the fatigue level information, the teacher data acquisition unit 141 also provides information on the frequency of occurrence of defective products in the work process of the worker, information on the working period of the work process, information on the job system, information on the transition of the work process, and work. The process performance information including at least one of the information regarding the non-in charge period of the process is acquired from the administrator computer 3 as teacher data. Of course, when it is stored in the worker computer 4 in real time, it is acquired from the worker computer 4.

The trained engine generation unit 142 uses the acquired fatigue level information and process performance information as teacher data to generate a trained engine 132 that outputs a work quality value indicating the degree to which the worker affects the work quality. The work quality value can be obtained as the probability of occurrence of defective products, and is output as a probability as a learning result based on the fatigue degree information and process performance information of each worker.

The worker information generation unit 143 generates information about the worker for each worker based on the output work quality value. Specifically, the work quality value is set as the first threshold value, and information about the worker is generated depending on whether or not the fatigue index of the worker is equal to or higher than the first threshold value.

The worker information generation unit 143 includes a fatigue level determination unit 144. For example, the fatigue degree determination unit 144 determines for each worker whether or not the fatigue index of the worker is equal to or higher than the first threshold value, using the above-mentioned work quality value as the first threshold value.

For the worker whose fatigue index is determined to be equal to or higher than the first threshold value by the fatigue degree determination unit 144, information for prompting a change is generated as information about the worker. The worker information transmission unit 145 transmits the generated information about the worker to the administrator computer 3 to replace the worker who has accumulated fatigue more than a certain amount even if the worker himself / herself is not aware of it. be able to.

FIG. 16 is a flowchart showing a processing procedure of the work efficiency support server 1 according to the first embodiment of the present invention. As shown in FIG. 16, the CPU 11 of the work efficiency support server 1 according to the second embodiment acquires fatigue degree information and process performance information indicating the fatigue degree for each worker from the worker computer 4 as teacher data. (Step S1601). The fatigue degree information to be acquired is not particularly limited as long as it is the information that is the basis for calculating the fatigue degree.

In addition to fatigue level information, information on the frequency of defective products in the work process of workers, information on the working period of the work process, information on the job system, information on the transition of the work process, information on the non-in charge period of the work process. Process performance information including at least one of the above is acquired from the administrator computer 3 as teacher data. Of course, when it is stored in the worker computer 4 in real time, it is acquired from the worker computer 4.

The CPU 11 uses the acquired fatigue level information and process performance information as teacher data to generate a trained engine 132 that outputs a work quality value indicating the degree to which the worker affects the work quality (step S1602).

The CPU 11 acquires the output work quality value (step S1603), sets the work quality value as the first threshold value, and determines for each worker whether or not the worker's fatigue index is equal to or higher than the first threshold value. (Step S1604). When the CPU 11 determines that the worker's fatigue index is smaller than the first threshold value (step S1604: NO), the CPU 11 determines that the worker is still in a low fatigue level, and steps S1601 Return the process to and continue the work process.

When the CPU 11 determines that the fatigue index is equal to or higher than the first threshold value (step S1604: YES), the CPU 11 determines that the worker is in a state of high degree of presentation and works on information prompting the change. It is generated as information about a person (step S1605). The CPU 11 transmits the generated information prompting the change to the administrator computer 3 (step S1606).

Further, in the teacher data acquisition unit 141, the teacher data may further include information on the work start state for each worker for each work process and information on the alternative worker including the working time. As a result, the work quality value can be calculated separately for the case where the worker continuously engages in the work process and the case where the worker takes turns engaged in the work.

That is, in the trained engine 132, the first work quality value when the worker continuously works and the second work quality value when the worker takes turns working for the predetermined work process are set. Calculate each. By comparing the first work quality value and the second work quality value in the fatigue degree determination unit 144, it is possible to determine whether or not the worker should be replaced.

FIG. 17 is a flowchart showing another processing procedure of the work efficiency support server 1 according to the second embodiment of the present invention. As shown in FIG. 17, the CPU 11 of the work efficiency support server 1 according to the second embodiment acquires fatigue degree information and process performance information indicating the fatigue degree for each worker from the worker computer 4 as teacher data. (Step S1701). The fatigue degree information to be acquired is not particularly limited as long as it is the information that is the basis for calculating the fatigue degree.

In addition to fatigue level information, information on the frequency of defective products in the work process of workers, information on the working period of the work process, information on the job system, information on the transition of the work process, information on the non-in charge period of the work process. The process performance information including at least one of the above is acquired from the administrator computer 3. Further, information on the work start state for each worker for each work process and information on the alternative worker including the working time are also acquired from the administrator computer 3. Of course, when it is stored in the worker computer 4 in real time, it is acquired from the worker computer 4.

The CPU 11 uses the acquired fatigue degree information and process performance information as teacher data to generate a learned engine 132 that outputs a work quality value indicating the degree to which the worker affects the work quality (step S1702).

The CPU 11 acquires the work quality value of the worker who is currently working as the first work quality value (step S1703), and acquires the work quality value of the substitute worker as the second work quality value (step S1704). The CPU 11 determines whether or not the first work quality value is equal to or higher than the second work quality value (step S1705).

When the CPU 11 determines that the first work quality value is equal to or higher than the second work quality value (step S1705: YES), the CPU 11 determines that the worker is in a fatigued state that does not need to be replaced yet. After determining, the process is returned to step S1701 to continue the work process.

When the CPU 11 determines that the first work quality value is smaller than the second work quality value (step S1705: NO), the CPU 11 generates information for the worker as information for prompting the change. (Step S1706). The CPU 11 transmits the generated information prompting the change to the administrator computer 3 (step S1707).

As in the first embodiment, the warning information generation unit 146 may be provided. Since the content overlaps with the first embodiment, detailed description thereof will be omitted. In FIG. 16, warning information may be generated instead of the work-related information and transmitted to the worker computer 4.

As described above, according to the second embodiment, since the information about the worker is generated by determining the degree of fatigue of the worker and the work quality value indicating the probability of being tired, the worker himself / herself is fatigued. Even if you do not feel it, it is possible to prevent a decrease in work efficiency or work stagnation due to potential fatigue, and it is possible to correctly determine when to change workers.

The present invention is not limited to the above embodiment, and various changes and improvements can be made within the scope of the gist of the present invention. For example, in the second embodiment, the trained engine 132 is not limited to being provided in the work efficiency support server 1, and may be provided in, for example, another computer on the network or in a cloud server. Is also good.

FIG. 18 is a schematic diagram showing a configuration of a work efficiency support system according to another embodiment of the present invention. In the present embodiment, the work efficiency support server 1 is connected to the administrator computer 3, the worker computer 4, and the fatigue degree calculation computer 5 so that data communication can be performed via the network 2.

The fatigue degree calculation computer 5 includes a trained engine 51 machine-learned with the same teacher data as in the second embodiment. The work efficiency support server 1 can receive a work quality value indicating the degree of fatigue of the worker by transmitting the fatigue degree information and the process result information to the fatigue degree calculation computer 5.

FIG. 19 is a flowchart showing a processing procedure of the work efficiency support server 1 according to another embodiment of the present invention. As shown in FIG. 19, the CPU 11 of the work efficiency support server 1 according to the present embodiment acquires fatigue degree information and process performance information indicating the fatigue degree for each worker from the worker computer 4 as teacher data. (Step S1901). The fatigue degree information to be acquired is not particularly limited as long as it is the information that is the basis for calculating the fatigue degree.

In addition to fatigue level information, information on the frequency of defective products in the work process of workers, information on the working period of the work process, information on the job system, information on the transition of the work process, information on the non-in charge period of the work process. The process performance information including at least one of the above is acquired from the administrator computer 3. Of course, when it is stored in the worker computer 4 in real time, it is acquired from the worker computer 4.

The CPU 11 transmits the acquired fatigue level information and process performance information as teacher data to the fatigue level calculation computer 5 (step S1902), and receives a work quality value indicating the degree to which the worker affects the work quality. (Step S1903). The work quality value is calculated by the trained engine 51.

The CPU 11 uses the received work quality value as the first threshold value, and determines for each worker whether or not the fatigue index of the worker is equal to or higher than the first threshold value (step S1904). When the CPU 11 determines that the worker's fatigue index is smaller than the first threshold value (step S1904: NO), the CPU 11 determines that the worker is still in a low fatigue level, and steps S1901 Return the process to and continue the work process.

When the CPU 11 determines that the fatigue index is equal to or higher than the first threshold value (step S1904: YES), the CPU 11 determines that the worker has a high degree of fatigue and performs information prompting a change. It is generated as information about a person (step S1905). The CPU 11 transmits the generated information prompting the change to the administrator computer 3 (step S1906).

Further, as the teacher data, information on the work start state for each worker for each work process and information on the alternative worker including the working time may be further included. As a result, the work quality value can be calculated separately for the case where the worker continuously engages in the work process and the case where the worker takes turns engaged in the work.

That is, in the trained engine 51, the first work quality value when the worker continuously works and the second work quality value when the worker takes turns working for the predetermined work process are set. Calculate each. By comparing the first work quality value and the second work quality value, it is possible to determine whether or not the worker should be replaced.

FIG. 20 is a flowchart showing another processing procedure of the work efficiency support server 1 according to another embodiment of the present invention. As shown in FIG. 20, the CPU 11 of the work efficiency support server 1 according to the present embodiment acquires fatigue degree information and process performance information indicating the fatigue degree for each worker from the worker computer 4 as teacher data ( Step S2001). The fatigue degree information to be acquired is not particularly limited as long as it is the information that is the basis for calculating the fatigue degree.

In addition to fatigue level information, information on the frequency of defective products in the work process of workers, information on the working period of the work process, information on the job system, information on the transition of the work process, information on the non-in charge period of the work process. The process performance information including at least one of the above is acquired from the administrator computer 3. Further, information on the work start state for each worker for each work process and information on the alternative worker including the working time are also acquired from the administrator computer 3. Of course, when it is stored in the worker computer 4 in real time, it is acquired from the worker computer 4.

The CPU 11 transmits the acquired fatigue degree information and process performance information as teacher data to the fatigue degree calculation computer 5 (step S2002). By transmitting the same teacher data to the shift worker, the first work quality value indicating the degree of influence on the work quality when the worker continues the work is received (step S2003). A second work quality value indicating the degree of influence on the work quality when the worker is changed is received (step S2004). The trained engine 51 calculates the first work quality value and the second work quality value.

The CPU 11 determines whether or not the received first work quality value is equal to or higher than the received second work quality value (step S2005). When the CPU 11 determines that the first work quality value is equal to or higher than the second work quality value (step S2005: YES), the CPU 11 determines that the worker is in a fatigued state that does not need to be replaced yet. After determining, the process is returned to step S2001 to continue the work process.

When the CPU 11 determines that the first work quality value is smaller than the second work quality value (step S2005: NO), the CPU 11 generates information for the worker as information for prompting a change. (Step S2006). The CPU 11 transmits the generated information prompting the change to the administrator computer 3 (step S2007).

Further, the learning program for generating the trained engine or the learning algorithm is not particularly limited. Further, it goes without saying that the warning information may be generated and transmitted to the worker computer 4 as in the first and second embodiments.

1 Work efficiency support server 3 Administrator computer 4 Worker computer 5 Fatigue degree calculation computer 51, 132 Learned engine 101 Fatigue degree information acquisition unit 102, 143 Worker information generation unit 103, 144 Fatigue degree judgment unit 104, 145 Workers Information transmission unit 105, 146 Warning information generation unit 106, 147 Warning information transmission unit 141 Teacher data acquisition unit 142 Learned engine generation unit 148 Work quality judgment unit

Claims (27)

Fatigue information acquisition means for acquiring fatigue information indicating the fatigue level of each worker,
A worker information generating means that generates information about a worker for each worker based on the fatigue degree information, and
In a work efficiency support system having a worker information transmission means for transmitting the generated information about the worker to the administrator computer that manages the worker.
The worker information generation means
Quality parameters including at least one of information on the frequency of defective products in the work process of the worker, information on the engagement period of the work process, information on the job system, information on the transition of the work process, and information on the non-in charge period of the work process. A work efficiency support system characterized in that information about the worker is generated based on the fatigue degree information as a variable. The worker information generation means
Fatigue degree determination means for determining whether or not the fatigue degree information is equal to or higher than the first threshold value for each operator.
The work efficiency support system according to claim 1, wherein the worker who is determined by the fatigue degree determining means that the fatigue degree information is equal to or higher than the first threshold value generates information for prompting a change. The worker information generation means
Fatigue determination means for determining whether or not the fatigue level information is less than the first threshold value and greater than or equal to the second threshold value smaller than the first threshold value, and
To generate information for instructing a worker to prepare a substitute worker for a worker who is determined by the fatigue degree determining means that the fatigue degree information is less than the first threshold value and equal to or higher than the second threshold value. The work efficiency support system according to claim 1. A warning information generating means for generating warning information for the worker, and
It is equipped with a warning transmission means for transmitting the generated warning information to the worker computer used by the worker.
The warning information generating means is
Fatigue degree determination means for determining whether or not the fatigue degree information is equal to or higher than the first threshold value for each operator.
Claims 1 to 1, wherein the fatigue degree determining means includes a generation means for generating warning information for urging the worker to stop the work for the worker whose fatigue degree information is determined to be equal to or higher than the first threshold value. The work efficiency support system according to any one of 3. A warning information generating means for generating warning information for the worker, and
It is equipped with a warning transmission means for transmitting the generated warning information to the worker computer used by the worker.
The warning information generating means is
Fatigue determination means for determining whether or not the fatigue level information is less than the first threshold value and greater than or equal to the second threshold value smaller than the first threshold value, and
As a generation means for generating warning information for issuing an instruction to confirm work accuracy for a worker who is determined by the fatigue degree determination means that the fatigue degree information is less than the first threshold value and equal to or more than the second threshold value. ,
The work efficiency support system according to any one of claims 1 to 3, wherein the work efficiency support system is provided. Fatigue information indicating the degree of fatigue for each worker, including at least autonomic nerve balance information for each worker,
Process performance information including at least one of information on the frequency of defective products in the work process of the worker, information on the engagement period of the work process, information on the job system, information on the transition of the work process, and information on the non-in charge period of the work process. Teacher data acquisition means to acquire and as teacher data,
In a work efficiency support system provided with a worker information transmitting means for transmitting information about a worker generated based on the teacher data to an administrator computer that manages the worker.
Using a machine-learned prediction model based on the acquired teacher data, a trained engine that calculates a work quality value indicating the degree to which the worker affects the work quality, and a trained engine.
A work efficiency support system including a worker information generation means for generating information about a worker for each worker based on a work quality value calculated by the learned engine. The teacher data further includes information on the work start status for each worker for each work process and information on alternative workers including working hours.
In the trained engine, for a predetermined work process, the first work quality value when the worker continuously works and the second work quality value when the worker takes turns working are set. Calculate and
A work quality determination means for determining whether or not the second work quality value is larger than the first work quality value, and
The claim is characterized in that when the work quality determining means determines that the second work quality value is larger than the first work quality value, the worker information generating means generates information for prompting a change. The work efficiency support system according to 6. The process of acquiring fatigue level information indicating the fatigue level of each worker, and
The fatigue level of the worker includes a process of generating information about the worker for each worker based on the fatigue level information and a process of transmitting the generated information about the worker to the administrator computer that manages the worker. In the work efficiency support method that can be executed by the computer that sends the instruction to the administrator computer according to the above.
The computer
A quality parameter containing at least one of information on the frequency of defective products in the work process of the worker, information on the engagement period of the work process, information on the job system, information on the transition of the work process, and information on the non-in charge period of the work process. A work efficiency support method characterized in that information about the worker is generated based on the fatigue degree information as a variable. Fatigue information indicating the degree of fatigue for each worker, including at least autonomic nerve balance information for each worker,
Process performance information including at least one of information on the frequency of defective products in the work process of the worker, information on the engagement period of the work process, information on the job system, information on the transition of the work process, and information on the non-in charge period of the work process. And the process of acquiring as teacher data,
A computer that transmits information about a worker generated based on the teacher data to the administrator computer according to the degree of fatigue of the worker, including a step of transmitting an administrator computer that manages the operator. In the work efficiency support method that can be executed
The computer
It has a trained engine that calculates a work quality value indicating the degree to which a worker affects the work quality using a machine-learned prediction model based on the acquired teacher data.
A work efficiency support method characterized in that information about a worker is generated for each worker based on a work quality value calculated by the learned engine. Fatigue information acquisition means for acquiring fatigue information indicating the fatigue level of each worker,
In a work efficiency support server having a worker information generation means for generating information about a worker for each worker based on the fatigue degree information.
The worker information generation means
A quality parameter containing at least one of information on the frequency of defective products in the work process of the worker, information on the engagement period of the work process, information on the job system, information on the transition of the work process, and information on the non-in charge period of the work process. A work efficiency support server characterized by generating information about the worker based on the fatigue degree information as a variable. The worker information generation means
Fatigue degree determination means for determining whether or not the fatigue degree information is equal to or higher than the first threshold value for each operator.
The work efficiency support server according to claim 10, wherein the worker who is determined by the fatigue degree determining means that the fatigue degree information is equal to or higher than the first threshold value generates information for prompting a change. The worker information generation means
Fatigue determination means for determining whether or not the fatigue level information is less than the first threshold value and greater than or equal to the second threshold value smaller than the first threshold value, and
To generate information for instructing a worker who is determined by the fatigue degree determining means that the fatigue degree information is less than the first threshold value and greater than or equal to the second threshold value to prepare a substitute worker. The work efficiency support server according to claim 10. A warning information generating means for generating warning information for the worker is provided.
The warning information generating means is
Fatigue degree determination means for determining whether or not the fatigue degree information is equal to or higher than the first threshold value for each operator.
10. The present invention is characterized in that the fatigue degree determining means includes a generation means for generating warning information for urging the worker to stop the work for the worker whose fatigue degree information is determined to be equal to or higher than the first threshold value. The work efficiency support server according to any one of 12. A warning information generating means for generating warning information for the worker is provided.
The warning information generating means is
Fatigue determination means for determining whether or not the fatigue level information is less than the first threshold value and greater than or equal to the second threshold value smaller than the first threshold value, and
As a generation means for generating warning information for issuing an instruction to confirm work accuracy for a worker who is determined by the fatigue degree determination means that the fatigue degree information is less than the first threshold value and equal to or more than the second threshold value. The work efficiency support server according to any one of claims 10 to 12, wherein the work efficiency support server is provided. Fatigue information indicating the degree of fatigue for each worker, including at least autonomic nerve balance information for each worker,
Process performance information including at least one of information on the frequency of defective products in the work process of the worker, information on the engagement period of the work process, information on the job system, information on the transition of the work process, and information on the non-in charge period of the work process. In a work efficiency support server equipped with a teacher data acquisition means that acquires and as teacher data
Using a machine-learned prediction model based on the acquired teacher data, a trained engine that calculates a work quality value indicating the degree to which the worker affects the work quality, and a trained engine.
A work efficiency support server comprising a worker information generation means for generating information about a worker for each worker based on a work quality value calculated by the learned engine. The teacher data further includes information on the work start status for each worker for each work process and information on alternative workers including working hours.
In the trained engine, for a predetermined work process, the first work quality value when the worker continuously works and the second work quality value when the worker takes turns working are set. Calculate and
A work quality determination means for determining whether or not the second work quality value is larger than the first work quality value is provided.
The claim is characterized in that when the work quality determining means determines that the second work quality value is larger than the first work quality value, the worker information generating means generates information for prompting a change. The work efficiency support server according to 15. Fatigue information indicating the degree of fatigue for each worker, including at least autonomic nerve balance information for each worker,
Process performance information including at least one of information on the frequency of defective products in the work process of the worker, information on the engagement period of the work process, information on the job system, information on the transition of the work process, and information on the non-in charge period of the work process. In a work efficiency support server equipped with a teacher data acquisition means that acquires and as teacher data
Using a machine-learned prediction model based on the acquired teacher data, a work quality value that indicates the degree to which the worker affects the work quality is calculated. A work quality value that obtains a work quality value from a trained engine. Acquisition method and
A work efficiency support server characterized by being provided with a worker information generation means for generating information about a worker for each worker based on the acquired work quality value. The teacher data further includes information on the work start status for each worker for each work process and information on alternative workers including working hours.
For a predetermined work process calculated in the trained engine, the first work quality value when the worker continuously works, and the second work quality when the worker takes turns working as an alternative worker. Get each value and
A work quality determination means for determining whether or not the second work quality value is larger than the first work quality value is provided.
The claim is characterized in that when the work quality determining means determines that the second work quality value is larger than the first work quality value, the worker information generating means generates information for prompting a change. The work efficiency support server according to 17. Fatigue information acquisition means for acquiring fatigue information indicating the fatigue level of each worker,
In a computer program that can be executed by a work efficiency support server having a worker information generating means that generates information about a worker for each worker based on the fatigue degree information.
The worker information generation means
A quality parameter containing at least one of information on the frequency of defective products in the work process of the worker, information on the engagement period of the work process, information on the job system, information on the transition of the work process, and information on the non-in charge period of the work process. A computer program characterized by functioning as a variable as a means for generating information about the worker based on the fatigue degree information. The worker information generation means
The fatigue degree determining means for determining whether or not the fatigue degree information is equal to or higher than the first threshold value for each worker, and the fatigue degree determining means have determined that the fatigue degree information is equal to or higher than the first threshold value. The computer program according to claim 19, wherein the worker functions as a generation means for generating information prompting a change. The worker information generation means
A fatigue degree determining means for determining whether or not the fatigue degree information is less than the first threshold value and greater than or equal to the second threshold value smaller than the first threshold value, and the fatigue degree determining means for the fatigue degree determining means. It is characterized in that it functions as a generation means for generating information that gives an instruction to prepare a substitute worker for a worker whose degree information is determined to be less than the first threshold value and greater than or equal to the second threshold value. The computer program according to claim 20. The work efficiency support server is made to function as a warning information generation means for generating warning information for the worker.
The warning information generating means,
The fatigue degree determining means for determining whether or not the fatigue degree information is equal to or higher than the first threshold value for each worker, and the fatigue degree determining means determine that the fatigue degree information is equal to or higher than the first threshold value. The computer program according to any one of claims 19 to 21, wherein the worker functions as a generation means for generating warning information prompting the worker to stop working. The work efficiency support server is made to function as a warning information generation means for generating warning information for the worker.
The warning information generating means,
A fatigue degree determining means for determining whether or not the fatigue degree information is less than the first threshold value and greater than or equal to the second threshold value smaller than the first threshold value, and the fatigue degree determining means for the fatigue degree determining means. A claim characterized in that a worker who is determined to have degree information less than the first threshold value and greater than or equal to the second threshold value functions as a generation means for generating warning information for issuing an instruction for confirming work accuracy. Item 10. The computer program according to any one of Items 19 to 21. The work efficiency support server
Fatigue information indicating the degree of fatigue for each worker, including at least autonomic nerve balance information for each worker,
Process performance information including at least one of information on the frequency of defective products in the work process of the worker, information on the engagement period of the work process, information on the job system, information on the transition of the work process, and information on the non-in charge period of the work process. Teacher data acquisition means to acquire and as teacher data,
In a computer program that causes information about a worker generated based on the teacher data to function as a worker information transmitting means for transmitting an administrator computer that manages the worker.
The work efficiency support server has a trained engine that calculates a work quality value indicating the degree to which a worker affects the work quality by using a prediction model machine-learned based on the acquired teacher data. ,
A computer program characterized in that the work efficiency support server functions as a worker information generation means for generating information about a worker for each worker based on a work quality value calculated by the learned engine. The teacher data further includes information on the work start status for each worker for each work process and information on alternative workers including working hours.
The work efficiency support server
In the trained engine, for a predetermined work process, the first work quality value when the worker continuously works and the second work quality value when the worker takes turns working are set. Means of calculation,
The work quality determination means for determining whether or not the second work quality value is larger than the first work quality value, and the work quality determination means in which the second work quality value is the first work quality value. The computer program according to claim 24, wherein the worker information generating means functions as a generating means for generating information prompting a change when it is determined to be larger. Work efficiency support server,
Fatigue information indicating the degree of fatigue for each worker, including at least autonomic nerve balance information for each worker,
Process performance information including at least one of information on the frequency of defective products in the work process of the worker, information on the engagement period of the work process, information on the job system, information on the transition of the work process, and information on the non-in charge period of the work process. In a computer program that functions as a teacher data acquisition means
The work efficiency support server
Using a machine-learned prediction model based on the acquired teacher data, a work quality value that indicates the degree to which the worker affects the work quality is calculated. A work quality value that obtains a work quality value from a trained engine. A computer program characterized by functioning as an acquisition means and a worker information generation means for generating information about a worker for each worker based on the acquired work quality value. The teacher data further includes information on the work start status for each worker for each work process and information on alternative workers including working hours.
The work efficiency support server
For a predetermined work process calculated in the trained engine, the first work quality value when the worker continuously works, and the second work quality when the worker takes turns working as an alternative worker. Means to get each value,
The work quality determination means for determining whether or not the second work quality value is larger than the first work quality value, and the work quality determination means in which the second work quality value is the first work quality value. The computer program according to claim 26, wherein the worker information generating means functions as a generating means for generating information prompting a change when it is determined to be larger.

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