JPH10254962A - Group-based work capability correction device and work allocation system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To properly estimate the group-based work capability on which the work results are reflected with no troublesome input required for the result data by storing the standard work time per work type-based unit, the group information showing the number of workers of each group and the group-based work capability. SOLUTION: The work type-based result work number of each group and the result work time are inputted to a work result input device 11. Then the standard total work time needed for performing the result work number is calculated based on those input data. A group-based work capability correction coefficient calculation part 12 calculates a work capability correction coefficient of each group based on the standard work time and the result work time. A group-based work capability correction part 13 divides the holding manhour by the work capability correction coefficient calculated by the part 12 to decide the work capability of each group. Then the standard work time, the group information and the data on the group-based work capability are stored in a storage 14.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a group-based workplace in which workers form a group and perform work having one or more work types, and reflect work results without troublesome result data input. The present invention relates to an apparatus for appropriately estimating the group-specific work capacity and appropriately allocating work to each group by referring to the appropriately estimated group-specific work capacity.

[0002]

2. Description of the Related Art Recently, information equipment products, home appliances, AV
(Audio Visual) In the market of equipment products and the like, fluctuations in demand amount and demand models have become extremely intense due to factors such as diversification of customer needs and shortening of a product life cycle. In order to respond flexibly to such market demand fluctuations, the manufacturing industry has been moving away from the automation and heavy equipment of the factory line, which has been promoted in the past, and switching to a factory using only simple equipment with a focus on human labor. I'm advancing.

[0003] In a factory where these workers are mainly used, each worker is in charge of a series of operations from supply and processing of parts to assembly and packaging of products, and one or more workers are grouped. These days, self-contained workplaces, called cells or food stalls, are being constructed. In a system in which many divided tasks are divided among many workers, as in the conventional conveyor line, each worker can easily learn the work that he / she is responsible for, but the workplace configuration and layout in the factory Is fixed by the conveyor line, so that there is a problem that the above-mentioned demand fluctuation cannot be immediately followed. On the other hand, in the workplace composed of recent cells and food stalls, the work in charge of each worker is wide, and so-called multi-skilled work is required. However, since each worker becomes a multi-skilled worker, the work distribution to be assigned to each worker or group can be changed without changing the workplace composition in response to changes in production volume or model. It has the merit that it can be flexibly handled just by changing it.

On the other hand, from the viewpoint of production management, in order to issue a production instruction to a factory in accordance with an order receiving situation or a production plan, the production capacity of the factory must be estimated and an appropriate load must be distributed. If the plant is centered on equipment or a conveyor line, the capacity of the equipment (processing speed,
Production capacity can be estimated from the accuracy and the tact time of the conveyor line. On the other hand, in a factory composed of cells, food stalls, and the like, it is important to estimate the work capacity (work time, work speed, and the like) of the worker because the work is mainly performed manually.

A method of setting a standard work of an operator and estimating the time required for the standard work has been studied and implemented in the fields of work research and work measurement. Masaharu Kawashima, "Work Research and Work Management", pp. 303-3
11, Japan Management Association, 1979 (hereinafter, "known example 1"
Called. ), The standard time is defined as the sum of the net time and the spare time. The net time is the value obtained by multiplying the observation time value obtained by a work experiment or the like by a rating coefficient, or the standard work based on the element work set in advance in general and the standard time value for each element work. Analyze and represent as a combination of element work,
It is set by a method such as taking a value obtained by accumulating the standard time value of each element work.

[0006] The former method is called a direct time measurement method,
The operator is caused to repeatedly execute the standard work, the time value required at that time is measured, and the average value or the center value is used as the observation time value. In this method, a rating coefficient is set based on the work speed and effort of the worker. Methods for setting the rating coefficient include a leveling method, a composite rating method, and an objective rating method.

On the other hand, the latter method uses PTS (Predet
ermined Time Standard (MTM) method, which depends on the classification method of element work and the setting of time values.
There are a TimeMeasurement method and a WF (Work Factor) method.

In an actual factory, when designing and organizing a production process, a standard work time for work in each process is set using the above-described work measurement technology, and work is performed according to the number of workers to be arranged. The number of man-hours is estimated.
JP-A-8886 (hereinafter referred to as "known example 2") and JP-A-7-168887 (hereinafter referred to as "known example 3") disclose apparatuses for setting the number of work steps.

The setting of the standard work time and the estimation of the man-hours in the known example 1, the known example 2 and the known example 3 are methods which are fixedly set for the standard work, but when the worker actually works. In the first place, it takes a long time to get used to the work, but as the work is repeated, it gradually becomes proficient and the work time is shortened. As described above, since the product life cycle is becoming shorter, new work is frequently performed in a factory in accordance with introduction of a new product. In the method of estimating man-hours by setting the standard time above, the standard production capacity can be estimated, but the actual production capacity varies depending on the level of mastery of the actual workers. Is not enough to figure out. Therefore, in order to ascertain the true production capacity, it is necessary to ascertain the skill level of the worker.

[0010] In order to ascertain the degree of proficiency of workers engaged in actual work in a factory, it is necessary to collect the actual number of work and work time values as actual results. As a technique for collecting such work results, for example, Japanese Patent Application Laid-Open No. 5-158943 (hereinafter referred to as "known example 4") discloses a production result data collection device. In this production result data collection device, a network system for sequentially collecting production result information at each production point is configured, and an operator inputs data every time one operation is completed.

When work performance information is collected, it can be used for performance evaluation by ascertaining the degree of deviation from a predetermined plan value or standard value. (Hereinafter referred to as "known example 5") discloses an apparatus that compares a production result with a plan value, calculates an index such as a load satisfaction rate or a production achievement rate, and evaluates a production system.

Further, when issuing a production instruction, it is necessary to distribute the load to each workplace and each worker in consideration of the number of workers arranged in the factory. Is often estimated as the number of man-hours held by the factory based on the number of workers and the working hours. For example, Japanese Patent Application Laid-Open No. 4-282761 (hereinafter referred to as
This is referred to as “known example 6”. ) Discloses an apparatus that sets the holding capacity for each process or time bucket based on the operable time, and determines the production schedule by distributing the load with reference to the holding capacity. In the publicly known example 6, the size of the load to be allocated is represented by the work time per unit quantity for each process of the kind to be distributed and the quantity of the kind to be distributed, and the time bucket is piled up.
Also, in Japanese Patent Application Laid-Open No. 5-108655 (hereinafter referred to as "known example 7"), a load is assigned by setting a holding capacity for each process or time bucket. A method of complying with a delivery date by adjusting a load amount per time bucket for performing the work has been proposed.

As a known example focusing on manual work, Japanese Patent Laid-Open Publication No.
This is referred to as "known example 8". ), And the number of placement workers is set as the holding capacity. Also, Japanese Patent Application Laid-Open No. 7-44610
Japanese Patent Application Publication (hereinafter referred to as “known example 9”) discloses a load calculation method that considers a combination of resources to be used, such as people, equipment, and jigs, depending on a load to be allocated.

In addition to the above-described method in which the man-hours obtained from the number of workers and the working hours are directly set as capabilities, for example, Japanese Patent Laid-Open No. 7-28889 (hereinafter referred to as "known example 10"). ), There is a method of adjusting the magnitude of the capability by introducing a coefficient. In the known example 10, the processing capacity of the equipment is set using the operation time and the operation rate of the equipment, and the work capacity of the worker is set using the number of workers, the operation time of the worker, and the attendance rate, The capacity of the line is set as the load accumulation limit data of the production line to which the facility and the worker relate based on the facility processing capacity and the work capacity. In addition, the elimination of the capacity by allocating the load to the line is performed by man-hours required to process the load.

[0015]

In the above conventional techniques, the problems to be solved by the present invention are as follows.
It is divided into the problem of collecting work performance data and the problem of setting appropriate work abilities to reflect the performance.

First, in the standard work time setting method shown in the publicly known example 1 or the work man-hour setting method shown in the publicly known example 2 and the publicly known example 3, a standard work time is used as a guide for process design and wage calculation. The use of time values does not take into account the proficiency phenomena observed when workers are actually in charge of the work and the differences in work performance by the workers. Not be. In order to solve such problems, it is necessary to collect work results in daily operations and to grasp the true production capacity as much as possible. In a factory centering on manual labor, generally, the actual number of operations and the actual operation time, such as the actual production number and the number of operations, are taken as the operation results. Also, in factories composed of cells and food stalls, workers are often dispersed for each group, so a system using a network is needed so that results can be collected from a remote location. .

Further, in the known example 4, a system for sequentially collecting production result information using such a network is provided. However, in this technique, a worker performs one operation to collect the result information. You have to enter data every time you finish. However, striking the keyboard of the input terminal every time one operation is completed or reading a barcode with a barcode reader or the like imposes a great burden on the operator. In addition, from the standpoint of factory operation, these data input actions do not themselves add value, and should not be frequent in nature.

On the other hand, in order to grasp the work ability,
There is no need to blindly collect results at frequent intervals, as long as the latest information can be collected at the timing of estimating the work capacity or reviewing it. Therefore, in order to grasp the work ability, it is not necessary to collect the results every time one work is completed as shown in the known example 4. In addition, in the workplace such as a cell or a stall, a number of workers often form a group, and in such a case, the distribution of the load and work in production instructions and the like is usually set in a group unit. It is. For this reason, it is sufficient if the work ability can be grasped in a group unit, and there is no need to input data one by one and collect detailed results as in the case of the fourth conventional example.

According to the present invention, a method is provided in which the work performance can be set appropriately only by inputting the work results in a group unit in a certain unit such as a day unit. The burden is greatly reduced.

When the work results are collected, the work results can be evaluated by comparison with predetermined plan values or standard values. Known example 5 shows a method of evaluating a production system by introducing an index such as a load satisfaction rate or a production achievement rate of each workplace or worker. However, it has not provided feedback on performance data, such as reviewing workplace abilities.

The present invention provides a function for collecting work results for each group, correcting the work capability of the group by reflecting the work data, and resetting the work performance appropriately.

A specific problem arises when the work results are collected for each group and used to correct the work ability. In other words, if work results are collected for each group, differences in the level of proficiency and work ability of the workers constituting the group become invisible, and even if the work content (work type and the number of works) imposed on the entire group is the same, The performance of the group also depends on who took charge of what kind of work. Therefore, in order to set the work capacity based on the work performance for each group, the work capacity of the entire group can always be compared under the same conditions without being affected by the work content of each worker who can change every day. There is a need for a method for collecting actual data and a data processing method.

The present invention provides a group-specific work capacity correction method that is not affected by the work contents assigned to each worker, whereby the group-specific work capacity can be set appropriately.

By solving the above-described problem of collecting work performance data and the problem of setting an appropriate performance reflecting the performance, the assignment of loads and works required in production instructions and the like can be performed by referring to the correct work performance. Since assignment to a group can be made, it is possible to prevent the occurrence of overtime due to overestimating the work capacity and the decrease in the operation rate due to the underestimation of the work capacity.

In the above-mentioned known example 6, known example 7, known example 8 and known example 9, in the work load distribution and the planning adjustment,
Although the work ability is observed, the ability is fixedly set in any of the methods and apparatuses, and correction of the required work ability due to the difference in the skill level of the worker and the work ability is not considered. Further, in the known example 10, although the correction of the production line capacity is attempted by introducing parameters such as the operation rate of the equipment and the attendance rate of the workers, the value of each parameter is fixed in this method, Neither the skill of the workers nor the difference in ability is taken into account. From the above, it cannot be said that the work assignment in the conventional known example does not properly consider the work capacity, and the difference between the estimated capacity and the true capacity causes overtime or lowers the operation rate. There is a possibility to go.

In the present invention, such a problem is solved because the work is assigned to each group with reference to the work capacity for each group which is appropriately estimated.

As described above, an object of the present invention is to provide a group-based workplace in which a worker forms a group and performs one or more work types of work, without having to enter time-consuming work data, and without having to input work results data. Providing a device that properly estimates the work capacity of each group that reflects the above, and allocates work to each group appropriately by referring to the work capacity of each group that has been properly estimated to prevent unnecessary overtime and a decrease in the occupancy rate Is to do.

[0028]

SUMMARY OF THE INVENTION The present invention is achieved by a group-based work capacity correction device and / or work assignment system having the following arrangement.

First, in a group-based workplace in which workers form a group and perform one or more work types of work, a group-based work reflecting the work results without the need for troublesome results data input. In order to properly estimate the performance, the work performance correction device for each group according to the present invention includes a work performance input means for inputting the actual work count and the actual work time for each work type related to each group, and the work performance input means. Based on the number of actual work per group work type input by means and the standard work time per unit for each predetermined work type, the standard total work time for managing the actual work number is calculated and calculated. Based on the standard total work time and the actual work time of the group input by the work result input means,
Based on the group-based work capacity correction coefficient calculating means for calculating the work capacity correction coefficient of the group, based on the number of workers constituting the group and the prescribed working hours, the number of man-hours of the group is obtained, and the obtained man-hours, Based on the work capacity correction coefficient for the group calculated by the group work capacity correction coefficient calculation means, the group work capacity correction means to obtain the work capacity of the group, the standard work time per unit number of the work type, A storage unit is provided for storing group information indicating the number of workers in each group and for storing the group-specific work capacity obtained by the group-specific work capacity correction means.

In many cases, since the workers constituting the group work in the same time zone, it can be assumed that the actual work time of the group matches the actual work time of each worker. In such a case, the work result input means inputs a work number by work type per group and a result work time of the group, and the work capacity correction coefficient calculating means by group includes the work result input means. By multiplying the result of the number of actual work for each work type in the group unit input by the standard work time per unit of the work type stored in the storage means, the total number of the actual work for all the work types is calculated. To obtain the standard total work time for doing, and, by dividing the value obtained by multiplying the actual work time in the group unit input by the work result input means by the number of workers constituting the group by the standard total work time, It is preferable to calculate the work capacity correction coefficient of the group.

On the other hand, when it is considered that the actual work times of the respective workers constituting the group are different from each other, the work result input means sets the number of actual work by work type and the number of actual work for each worker constituting the group. The actual work time is input, and the group-specific work capacity correction coefficient calculating means is stored in the storage means as the work type actual work number of each worker constituting the group, inputted by the work result input means. The value obtained by multiplying the standard work time per unit of work type is totaled for all work types to obtain the standard total work time required to complete the actual number of work for each worker, and the standard total work time Is divided by the actual work time of the worker entered by the work result input means, and the number of workers constituting the group is further reduced to all workers constituting the group. By dividing the total value you are, what is configured to calculate the work capacity correction coefficient of the group are preferred.

Further, in order to enable the input of actual data even when the workplaces of each group are dispersed,
The work result input means is transmitted from the workplace in which each group is arranged, the actual work count and the actual work time for each work type associated with each group, via a terminal and network installed in each workplace Preferably, it is configured to input.

In the apparatus for correcting work performance by group according to the embodiment as described above,
For example, by performing the operation every day and correcting the work ability on a daily basis, it is possible to estimate the work ability reflecting a temporal change of the work ability.

It is another object of the present invention to refer to the group work capacity appropriately estimated by the group work capacity correction device described above and to assign work to each group based on the given number of planned works. Therefore, the present invention is achieved by a work assignment system including the group-specific work capacity correction device and the group-based work assignment means.

First, when trying to make the work end time of each group the same (trying to equalize the load by converting it to a time scale), the work assignment means for each group
It is preferable that the given number of planned work of each work type is proportionally distributed to each group according to the magnitude of the work capacity of each group stored in the storage means.

Further, when allocating on the basis of the number of work steps required to manage the planned work number, the group-based work allocating means stores the planned work number for each given work type in the storage means. The required man-hours for each work type are obtained by multiplying the standard work time per unit of the work type, and (1) a work type having an unallocated portion of the planned work number is selected, and (2) work capacity. (3) Compare the required work man-hours for the unassigned work type with the work capacity allowance of the group, and if the required work man-hour is less than the work capacity allowance, All unassigned work types are assigned to the group.Otherwise, the portion of the unassigned work types that corresponds to the work capacity allowance is used. Performs processing to assign to the group, the process of (1) to (3), or finishes allocate the necessary man-hours for all work types, preferably repeated until satisfying the entire group of working capacity.

If there is a priority order among the work types to be assigned, the group-by-group work allocating means adds the number of units of the work type stored in the storage means to the given number of planned works by work type. Calculate the required man-hours for each work type by multiplying the standard work time per work, set the priority for each work type, and have the highest priority among the work types with unallocated portion of the planned work number It is preferable to choose a work type.

When a work type having a large load is preferentially assigned to a group having a large work capacity, the work assignment means for each group is stored in the storage means for the given number of planned works for each work type. The required man-hours for each work type are obtained by multiplying the standard work time per unit of the work type. It is preferable to select the work type in which the standard work time is the largest, and to select the group having the largest work capacity for each group stored in the storage means among the groups having the spare work capacity.

When allocating on the basis of the number of allocable works while checking the margin of the work capacity of each group, the group-specific work allocating means includes: (1) a plan for each given work type; An unallocated work type is selected from the number of works, (2) a group having spare work capacity is selected, and (3) a spare work capacity of the group stored in the storage means is stored in the storage means. A value divided by the standard work time per unit number of the work type stored in the means is set as an allocatable number. (4) The planned work number of the unallocated work type is compared with the allocatable number, If the planned work number is equal to or less than the allocatable number, all the unallocated work types are allocated to the group, otherwise, the unallocated work types are The work allocatable minutes Chi performs processing to assign to the group, the (1)
It is preferable to repeat the processes from (4) to (4) until the assignment of the planned number of works for all work types is completed or the work capacities of all groups are satisfied.

As described above, according to the preferred embodiment of the present invention, it is not necessary to input an actual result for each operation of each worker, and the labor of data input is greatly reduced.
Further, in the work capacity correcting device for each group according to the present invention, since the work performance is corrected after converting the work performance for each group into a time scale, the work performance is corrected without being affected by the change in the number of work and the work type every day. Work capability correction is possible.

Further, in the work assignment system according to the present invention, work can be assigned to each group based on the work ability properly estimated by the group-based work ability correction device, so that the work ability is overestimated. As a result, it is possible to eliminate the occurrence of overtime and a decrease in the operation rate due to the underestimation of the working capacity.

[0042]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, with reference to the accompanying drawings, a description will be given of a group-based work capacity correction device and a work assignment system according to an embodiment of the present invention.

FIG. 1 is a block diagram showing a configuration of a group-specific work capacity correction device and a work assignment system according to an embodiment of the present invention.

The group-based work capacity correction device 10 is based on a work result input device 11 for inputting the actual work number and the actual work time for each work type for each group, and data input to the work result input device 11. A standard total work time for managing the actual work number is obtained from the actual work number for each work type for each group and the standard work time per unit for each work type. A group-based work capacity correction coefficient calculation unit 12 that calculates a work capacity correction coefficient for the group from the input actual work time for each group, and multiplies the number of constituent workers in each group by a prescribed working time to perform the work. The man-hours possessed by the group are obtained, and the man-hours possessed are calculated by the work capacity correction coefficient calculating unit 12 for each group. By dividing by a positive factor, group-specific working capacity correction unit 13, working capacity of the group
And a storage device 14 for storing group information such as standard work time per unit for each work type, the number of workers in each group, and data on work performance by group obtained by the work performance correction unit 13 by group. Is done.

The work assignment system 20 includes a group-based work capacity correction device 10. The work assignment system 20 further adds the standard work time per unit of the type stored in the storage device 14 to the planned work number for each work type. The required man-hours for each work type are obtained by applying
The group-specific work allocating unit 22 that allocates the required man-hours per work type to each group with reference to the work abilities per group stored in the storage unit 4.

FIG. 2 is a block diagram showing a hardware configuration of a work capacity correcting apparatus and work assignment system for each group according to the present invention.
FIG. 3 is a diagram illustrating an example of a software configuration.

The main body 200 is a CPU (Central Processing Uniform) that performs various operations and instruction processing necessary for the operation of the apparatus.
t) 201, an OS (Operating System), application programs such as a group-based work capacity correction program and a work assignment program that describe the operation contents of the group-based work capacity correction device and the work assignment system, and necessary programs for each program. A memory 202 for storing data, an input / output control device 203 for controlling input / output of data to / from external devices as needed, and control of connection with an external network and communication with other computers connected to the network And a communication control device 204 that performs the communication.

A display 205, a keyboard 206, a mouse 207, and the like, which are connected to the main body 200 via the input / output control device 203 and display information related to input / output, are provided as necessary. Further, the OS, programs and data stored in the memory 202 are
By providing the auxiliary storage device 208 for storing and storing, operation becomes possible even when a program or data having a content larger than the capacity of the memory 202 is handled.

On the other hand, a computer 209 located at each work site and used for remote input of work results, etc.
Connected by a network, data communication is possible via the communication control device 204 of the main body 200. In each work place, a plurality of workers gather to form a group called a cell or a stall, and each worker performs an assigned work.

At that time, for example, as shown in FIG.
Each worker performs an operation such as assembling a product toward each work table. When one day's work is completed, the number of work performed by work type (for example, the number of productions for each model) and the actual work time (for example, one day's work time for each worker) are performed by the computer 209 as work results of the group. Can be entered using

In the above hardware / software configuration, the blocks shown in FIG. 1 are replaced with the components shown in FIG.
Corresponds as follows. The functions of the work record input device 11 include an input terminal such as a keyboard 206, a mouse 207 and a computer 209 arranged in each work place, an input / output control device 203, a communication control device 204, and a memory 20.
2, application programs such as the OS described above and a work capability correction program for each group, and
This is realized by interaction with the CPU 201 that controls these.

The function of the group-specific work capability correction coefficient calculation unit 12 is realized by the interaction between the OS and the group-specific work capability correction program stored in the memory 202 and the CPU 201 that controls them. At that time,
Various data stored in the memory 202 is referred to or updated. In addition, the group-specific work capacity correction unit 1
The function of No. 3 is also realized by the interaction between the OS and the group-specific work capability correction programs stored in the memory 202 and the CPU 201 that controls them. , Referenced or updated.

The storage device 14 realizes its function mainly by the memory 202 when other blocks execute processing. On the other hand, when storing a large amount of data or when storing fixedly, The function is realized by the auxiliary storage device 208.

The function of the group-specific work assignment unit 22 is as follows.
This is realized by the interaction between the OS and the work assignment program stored in the memory 202 and the CPU 201 that controls them, and at this time, various data stored in the memory 202 is referred to or updated.

Next, with reference to FIG. 3, an outline of a business operation by the group-based work capacity correction device 10 and the work assignment system 20 according to the present embodiment will be described. First, it is necessary to evaluate how much work ability the actual work is performed in the workplace. The evaluation is made by a relative comparison with a predetermined standard time. In the present embodiment, the actual work performance is evaluated for each group, and the evaluation value is expressed as a work performance correction coefficient for each group. Therefore, the work capacity correction coefficient for each group is derived from the actual work time and the standard work time. The group-based work capacity correction coefficient derived in this manner is regarded as an anonymous coefficient that comprehensively summarizes the difference in the degree of proficiency and work capacity of the workers constituting the group as a ratio to an objective value.

Next, when correcting the work ability of each group, the number of workers constituting each group is first determined using the concept of man-hours that can objectively represent the work ability of each group. The value obtained by multiplying the specified working hours by the above is the man-hours owned by the group. Then, the work capacity of the group is obtained by adding the work capacity correction coefficient for each group to the man-hours held. When distributing the load and work in production instructions, etc., after converting the planned number of work to the required man-hour,
It will be assigned to this group work capacity.

FIG. 4 shows a workplace, a planning management section or a planning system, a group-specific work capacity correction device 10 and a work assignment according to the present embodiment in one cycle of the business operation described with reference to FIG. System 2
0 is shown as a sequence chart. However, the length of a line representing each process or data transfer in the figure does not always correspond to the time length in actual processing. As shown in FIG. 4, work performance correction processing is performed for each group when work results are given from the workplace, and work assignment processing is performed when the number of planned works is received from the plan management department or the planning system.

Next, a description will be given of the calculation and characteristics of a group-specific work capacity correction coefficient which plays a central role in the work capacity correction processing according to the present invention and which makes the functions of the present invention effective. As described with reference to FIG. 3, in order to derive the work capacity correction coefficient for each group, work results and standard work time are required. Depending on the relationship between the actual work time of the group and the actual work time of each worker constituting the group, the content of the required actual work changes. In the following, the relationship between the actual work time of the group and the actual work time of each worker constituting the group is two cases, that is, (1) the actual work time of the group and the actual work time of each worker are the same. If it can be considered that there is, and (2)
The case where the actual work time of the group differs from the actual work time of each worker will be described separately.

(1) In the case where the actual work time of the group and the actual work time of each worker can be considered to be the same In a workplace such as a cell, each worker works according to the same work rule, and the daily work time is , Often the same. In such a case, it is considered that the work time of the group (cell) may be regarded as the work time of the worker. FIG.
FIG. 11 is a diagram showing work performance data and standard work time data required to derive a work capacity correction coefficient for each group in the case described above. As shown in FIG. 5, these data include a standard work time S per model i in a cell workplace that produces I types of products from model 1 to model I.
Ti, production quantity of model i Qmi
And the actual work time Tm. In this way, when it can be considered that the work time of the cell is equal to the work time of the worker, each worker works at the same time even if their work abilities are different, and the work volume and the work time of the entire group are even. I just need to know. As a result, it is not necessary for each worker to input data for each work, as seen in the prior art, and the labor for collecting work result data is greatly reduced.

Based on the data shown in FIG. 5, the standard total work time required to manage the actual work number of the cell m is obtained by the following equation.

[0061]

(Equation 1)

The standard total work time obtained by (Equation 1) corresponds to the standard work time described with reference to FIG. 3, and this value and the actual work time Tm and the constituent work of the cell m shown in FIG. Using the number of workers J, the group-specific work capacity correction coefficient Rm is calculated by the following equation.

[0063]

(Equation 2)

That is, the work capacity correction coefficient R for each group
m is a coefficient indicating the ratio of the actual work time of the entire group to the time that would normally take a standard time.

(2) When the actual work time of the group differs from the actual work time of each worker.

Even if the workers constituting the cell work basically in the same time zone, depending on the case, they may go to another workplace or take a break. In such a case, the number of actual work and the actual work time for each worker are required. FIG. 6 is a diagram showing work result data and standard work time data necessary in such a case.
The standard work time data is the same as in the case of (1), but the work result data includes the number of productions qmji of the model i of the worker j in the cell m and the result work time Tmj of the worker j.

In this case, work results for each worker are required, but work result data is not necessarily collected for each work, but is collected in a certain unit such as a day unit. Just do it. The actual working time for each worker can also be easily obtained by processing such as subtracting the time of leaving the work from the prescribed working time. In order to calculate the group-specific work capacity correction coefficient Rm, first, the standard total work time required to manage the actual work number for each worker is obtained by the following equation.

[0068]

(Equation 3)

Since the actual work time of each worker is different, it is considered that an arbitrary positive number T is selected, and the actual work time of all the workers is normalized to T and evaluated. Then, a ratio of the standardized value to the standard work time is determined. Therefore, the group-specific work capacity correction coefficient Rm in this case is calculated by the following equation.

[0070]

(Equation 4)

Now, in order to evaluate the work ability of each group, the evaluation method must always be able to compare the work ability of the group as a whole under the same conditions, without being affected by the work content that can change every day. By using the group-based work capacity correction coefficient Rm, even if there is a change in the work contents assigned to the workers constituting the group, the work capacity of each worker can be integrated and a uniform evaluation can always be made. This is briefly described below.

First, for the sake of explanation, the reciprocal of the rating coefficient of each worker is considered from the viewpoint of the rating coefficient (the ratio of the actual work speed to the standard work speed) generally used in the field of work research and work measurement. rmj is defined. That is, rmj is represented by the following equation.

[0073]

(Equation 5)

Rmj is a value unique to each worker indicating the work ability and tendency of each worker, and is considered to be basically unchanged during a short period of time. That is, here, it is assumed that the value of rmj of each worker does not change during one day of collecting work result data.

Considering the case of (1) above, the denominator of (Equation 2) is transformed after considering the fact that the actual work number of the cell m is the sum of the actual work numbers of the respective workers, and By substituting 5), the following equation is obtained.

[0076]

(Equation 6)

In the case of (1), since Tmj = Tm, substituting (Equation 6) into (Equation 2) gives the following equation.

[0078]

(Equation 7)

From equation (7), it can be seen that the work capacity correction coefficient Rm for each group in the case of (1) is uniquely determined only by the number J of constituent workers of the cell m and the value of rmj of each worker. It can be seen that it is not affected by the variation of the work content and that the work ability of each worker is accurately reflected.

Next, in the case of the above (2), substituting (Equation 5) for (Equation 4) eventually leads to the same result as (Equation 7). It can be seen that the group-specific work capacity correction coefficient Rm that is not affected by the fluctuation is calculated.

The operations of the group-specific work capacity correcting device 10 and the work assignment system 20 according to the present embodiment will be described below with reference to the drawings.

First, FIG. 7 is a top view of an example of a workplace using the group-specific work capacity correcting apparatus 10 according to the present embodiment. In this workplace, there are three cells in a group of four people. Each worker assembles a product on one work table using one work table. Although the supply of parts and the delivery of finished products are performed by another operator, they are ignored here because they are not particularly related to the present embodiment. In this example, there are five types of products to be produced, from 1 to 5.

FIG. 8 shows the cell information and the standard work time per unit number for each model according to the present embodiment, and these pieces of information are already stored in the storage device 14 shown in FIG. In such a workplace,
The work results on November 20, 2012 were as shown in FIG. That is, on November 20, 1996, the work of all the workers in each cell proceeded smoothly, and the actual work time for all the workers was 480 minutes, which is the prescribed working time. Therefore, the actual work data in FIG. 9 includes the actual work number and the actual work time for each cell.

At this time, the work capacity correcting device 1 for each group
FIG. 1 shows the processing steps of the work capacity correction for each cell according to FIG.
1 and FIG. The processing of the work capacity correction by cell by the work capacity correction apparatus 10 by group
Schematically, work result data input processing (step 110)
1), group-based work capacity correction coefficient calculation processing (step 1102), group-based work capacity correction processing (step 1)
103) and work capacity registration processing (step 1104)
Consists of

First, in the work result data input processing (step 1101) of FIG.
Accepts input of work result data as shown in FIG. 9 for all cells. The reception of the data is realized by input using the keyboard 206 or the mouse 207, data communication by the computer 209 arranged in the work place, or reading from an electronic information storage medium such as a floppy disk.

Next, the processing by the group-specific work capacity correction coefficient calculating section 12 is executed (step 1102).
In step 1121, the index value m for identifying a cell is reset. Then, step 11
At 22, m is incremented. Step 11
At 23, the standard total work time of the cell m is calculated by using (Equation 1) with reference to the standard work time per unit number of each model shown in FIG. In this example, the standard total work time of the cell 1 is 1783 minutes.

Next, in step 1124, the work capability correction coefficient Rm of the cell m is calculated by using (Equation 2) with reference to the cell information shown in FIG. As a result, in the above example, the work capacity correction coefficient Rm of the cell 1 is calculated to be approximately 1.077.
Next, in processing step 1125, the index value m
Is checked, and if m is less than 3 which is the number of cells, the process returns to the processing step 1122 and the subsequent processes are repeated. If m is equal to or greater than 3, the group-specific work capacity correction coefficient calculation process (step 1102) ends.

Next, the process proceeds to a group-specific work capacity correction process (step 1103) shown in FIG. Step 113
At 1, the index value m for identifying the cell is reset. Next, in step 1132, m
Is incremented.

In step 1133, the storage device 1
4 and the number of constituent workers of the cell m is multiplied by the prescribed working hours to obtain the cell m.
Calculate the number of man-hours owned. In the example described above, the number of constituent workers is 4 in each cell, and the working time per day is 480 minutes, so that the man-hours held in the cell m is 1920 / min. In step 1134, the work capacity of the cell m is obtained by dividing the man-hours of the cell m by the work capacity correction coefficient Rm of the cell m calculated in the group-based work capacity correction coefficient calculation step S2. For example, the working capacity of cell 1 is approximately 178
It is reset to two people and minutes. Then, step 113
In step 5, the value of the index value m is checked. If m is less than the cell number of 3, the process returns to step 1132 to repeat the subsequent processing. When m becomes 3 or more, the group-specific work capacity correction processing (step 1103) ends.

Finally, the work capacity registration process (step 11)
In 04), the group-specific work capacity correction unit 13 registers the work capacity of each cell set in the group-specific work capacity correction processing (step 1103) in the storage device 14. At this time, if the work capacity of the cell is already stored in the storage device 14, the work capacity is updated to the newly set work capacity.

With the above processing, the work capacity correction coefficient and work capacity for each cell finally obtained are as shown in FIG.

Next, for example, on the next day, November 21, 1996,
A description will be given of the case where the supply of parts to each cell does not go smoothly on the day and the actual work time between the workers differs. FIG. 10 is a diagram illustrating a result of collecting work results on November 21, 1996. As described above, when the actual work time is different for each worker, it is necessary to collect the actual work number and the actual work time for each worker.

At this time, the group-specific work capacity correction device 1
The processing steps of the work capacity correction for each cell by 0 are shown in FIG.
2 and FIG. Also in this case, similarly to the processing on November 20, 1996, the processing for correcting the work capacity for each cell by the work capacity correction apparatus for each group 10 is roughly the work performance data input processing (step 1
201), group-based work capacity correction coefficient calculation processing (step 1202), group-based work capacity correction processing (step 1103), and work capacity registration processing (step 110).
4). November 2, 1996 explained earlier
The only difference from the process for day 0 (the processes in FIGS. 11 and 13) is the steps 1223 and 1224 in the group-specific work capacity correction coefficient calculation process (step 1202) shown in FIG. The other steps and the processing shown in FIG. 13 are common.

In step 1223 of FIG. 12, the group-specific work capacity correction coefficient calculation unit 12 refers to the cell information and the standard work time per unit number shown in FIG. The standard total work time for each worker constituting the cell m is calculated using the formula 3). For example, in the examples of FIGS. 7 and 8, the standard total working hours of ○, △, □, and △, who are the constituent workers of the cell 1, are 402, 492, 524, and 360, respectively. In general, it can be said that the worker who performed the work with the longer standard total work time performed more work.

Next, in step 1224, the work capability correction coefficient Rm of the cell m is calculated by using (Equation 4) with reference to the cell information shown in FIG. As a result, for example, the work capacity correction coefficient Rm of the cell 1 is calculated to be approximately 1.077. This value is the same as the work capacity correction coefficient Rm of the cell 1 obtained from the work results on November 20, 1996, and the work capacity of each worker changes even if the actual work time of each worker is different. This means that the working capacity of the entire group (cell) has not changed. In such a case,
It can be seen that the work capacity correction coefficient for each group can be accurately evaluated.

Since the steps in FIG. 13 are the same as the processing for correcting the work performance related to the work results on November 20, 1996, the result shown in FIG. 14 is finally obtained.

After the work capacity for each cell shown in FIG. 14 is set, when the planned work number on November 22, 1996 shown in FIG. 15 is given, the processing for allocating work to each cell is performed. The operation of the group-specific work assignment unit 22 of the work assignment system 20 will be described.

The processing in the group-specific work allocating section 22 varies depending on the policy for allocating the planned number of works. In the present embodiment, (1) the work end time of each cell is set to be the same. (2) giving priority to models to be assigned; and (3) preferentially assigning models with a large load to cells with a large work capacity.

First, FIG. 16 shows the processing by the group-specific work assignment unit 22 under the policy (1). In this case, since there is no priority order between the models and the cells, first, in processing step 1601, a model that has not been assigned yet is selected. Next, in step 1602, the planned number of work of the model is divided and assigned to the number of pieces of work stored in the storage device 14 and shown in FIG. For example, considering the work capacity of each cell described above, if model 1 is selected in step 1601, the number of cells assigned to each cell is:
There are 28 cells 1, 27 cells 2, and 30 cells 3. Thereafter, in processing step 1603, if there is a model whose assignment has not been completed yet, step 1
Returning to 601, if the assignment has been completed for all the models, the process ends.

As a result, for example, the number of units allocated to each cell for November 22, 1996 is determined as shown in FIG. The required man-hours required to complete the number of work allocated to each cell are proportionally distributed according to the work capacity of each cell (that is, by converting the load to a time scale and leveling the load). According to this assignment method, each cell can handle the assigned number in almost the same time.

Next, the processing of the group-specific work assignment unit 22 under the policy (2) will be described. In this case, when allocating work, allocate the work based on the number of work required to manage the planned number of work for each model, or based on the number of work that can be allocated based on the work capacity of each cell. Processing differs depending on whether it is assigned.

FIG. 17 is a flowchart showing the processing of the group-specific work allocating unit 22 when performing the work allocating process based on the number of work steps. First, in step 1701, the required man-hours for each model are obtained by multiplying the planned work number of each model by the standard work time per unit number of the model stored in the storage device 14. For example, the required man-hours for each model is 1275 for model 1
Minute, model 2 1440 people, minute, model 3 1260 people
Minutes, model 4 is calculated to be 550 persons / minute, and model 5 is calculated to be 1500 persons / minute. Next, in step 1702, a priority is assigned to each model. Here, it is assumed that the priority is higher in the order of model 5, model 4, model 3, model 2, and model 1.
In step 1703, it is determined whether there is a model whose assignment has not been completed.
If the answer is YES, the process proceeds to step 1704, and the model having the highest priority is selected from the remaining models. On the other hand, if the result of the determination in step 1703 is “No”, the work assignment process ends.

In step 1705, it is determined whether or not there is a cell having sufficient working capacity. If there is any cell (Yes in step 1705), the flow advances to step 1706 to select one of the cells. I do.
On the other hand, if it is determined as No (No) in step 1705, the work assignment processing ends.

In step 1707, the required man-hours of the model are compared with the unallocated man-hours and the work capacity margin of the cell. If the required work man-hour is equal to or smaller than the work capacity margin (YES in step 1707). (Y
es)), all the unassigned number of the model are assigned to the cell (step 1708), and step 170
Return to 3. On the other hand, if the required man-hours exceeds the work capacity margin (No (N
In o)), the process proceeds to step 1709, in which the number corresponding to the work capacity margin of the cell among the unallocated portions of the model is allocated to the cell, and the process returns to step 1705.

In the present embodiment, step 1706
At the time of cell selection in, cells were selected in ascending order of cell number among cells having extra work capacity. As a result, the allocated number as shown in FIG. 23 is obtained. According to the policy of (2), since the models with the highest priority are assigned, the models 1 with the lowest priority cannot all be assigned.

Next, the process of the group-based work allocating unit 22 in the case of allocating based on the number of allocable works based on the margin of the work capacity of each cell under the policy of (2) is shown in FIG. It will be described using FIG. First, step 2002
, The priority of each model is assigned. Here, as in the example of FIG. 17, model 5, model 4, model 3, model 2,
The priority is assigned in the order of the model 1. Step 200
In step 3, it is determined whether or not there is a model whose assignment has not yet been completed. If there is such a model (Yes in step 2003), the process proceeds to step 2004 to select the model with the highest priority. If it is determined as No in step 2003, the work assignment processing ends.

In step 2005, it is determined whether or not there is a cell having a sufficient working capacity. If the determination is yes (Yes), the process proceeds to step 2006, and one of the cells is selected. On the other hand, if it is determined to be No in step 2005, the process ends.

In step 2007, a value obtained by dividing the work capacity margin of the cell by the standard work time per unit of the model stored in the storage device 14 is rounded up to an integer value to obtain an integer. Calculate the number that can be assigned to. Next, in step 2008, the unallocated portion of the planned work number of the model is compared with the assignable number. When the unallocated portion is equal to or less than the allocatable number (Yes in step 2008)
, All the unassigned number of the model are allocated to the cell (step 2009), and the process returns to step 2003. On the other hand, if the unallocated portion is greater than the allocatable number (No in step 2008), the process proceeds to step 2010, where the allocatable number of the cell among the unallocated portion of the model is assigned to the cell. Assign and return to step 2005. As a result, the number of cells allocated to each cell is obtained as shown in FIG.

Finally, the case where work is allocated according to the policy (3) will be described. In this case as well, the processing differs depending on whether the assignment is performed on the basis of the number of work steps or the number of assignable works of each cell.

FIG. 18 and FIG. 19 are flowcharts showing the processing of the group-specific work allocating unit 22 when performing the work allocating process based on the number of work steps. First, in step 1801, the required man-hours for each model are obtained by multiplying the planned work number of each model by the standard work time per unit of the model stored in the storage device 14. Also here, for example, the model 1 is calculated as 1275 people / minute, the model 2 is calculated as 1440 people / minute, the model 3 is calculated as 1260 people / minute, the model 4 is calculated as 550 people / minute, and the model 5 is calculated as 1500 people / minute. . Next, in step 1802, it is determined whether or not there is a model whose assignment has not yet been completed. If yes (Yes (Yes)), the process proceeds to step 1803, and among the models that have not been assigned, the storage is performed in the storage device 14. Select the model with the largest standard work time per unit. On the other hand, if it is determined to be No in step 1802, the work assignment processing ends.

In processing step 1804, it is determined whether or not there is a cell having sufficient working capacity. If the determination in step 1804 is YES, the process proceeds to step 1805, and the cell having the largest working capacity stored in the storage device 14 is selected from the cells having sufficient working capacity. In contrast, step 1804
If No is determined in step (i), that is, if a cell having sufficient working capacity is not found, the process proceeds to the additional assignment for overtime work (FIG. 19) described later.

In step 1806, the required man-hours of the model are compared with the unallocated man-hours and the work capacity margin of the cell, and when the required man-hours are equal to or smaller than the work capacity margin (Yes (Yes)). In step 1807, all the unassigned devices of the model are assigned to the cell, and the process returns to step 1802. On the other hand, if it is determined in step 1806 that the required man-hours are greater than the work capacity margin (No (No)), the process proceeds to step 1808, and the unallocated portion of the model is The number corresponding to the work capacity margin is allocated to the cell, and the process returns to step 1804.

In this assignment method, step 1
According to 803 and step 1805, a model with a large load is preferentially assigned to a cell with a large work capacity, so that a cell with a large work capacity takes charge of a model that takes more time. This method is effective when it is necessary to surely perform a difficult task within working hours. Further, even when the total planned work number exceeds the work capacity of the entire workplace, only the models with a small load remain in the overtime hours.

If the determination in step 1804 is "No", that is, if no cell having sufficient working capacity is found, it means that overtime is required, and the process proceeds to the processing in FIG. . In this embodiment, since it is desired that the time required for overtime work is the same for each cell, the above-mentioned policy (1) is taken for the assignment of overtime work. That is, in step 1811, the unallocated portion of the model is allocated to each cell in proportion to the work capacity of each cell shown in FIG. 14 and stored in the storage device 14. Next, step 181
In step 2, it is determined whether there is a certain model that has not been allocated. If there is a certain model (Yes), step 18
In 13, any of the models is selected, and if there is no such model (No), the process of additional assignment for overtime is terminated.

After the end of step 1813, step 1
Returning to 811, the subsequent processing is repeated. FIG. 24 shows an allocation result obtained as a result of the above processing. Among these, the model assigned by the additional assignment processing for overtime is model 5, and the additional assignment to each cell is:
Cell 1 has 17 cells, cell 2 has 17 cells and cell 3 has 1
There are nine.

When allocating each cell based on the number of allocable works, the group-specific work allocating unit 22 executes the processing shown in FIG. In the processing shown in FIG. 21, the processing of calculating the required man-hours (step 1801) is removed from the processing of FIG. 18, and the processing of allocating the number of work that can be allocated to each cell in FIG. 20 (step 2007 and the like) is merged. The processing contents in each processing step are described with reference to the respective drawings. Therefore, the description of the processing in FIG. 21 is omitted. Also, in this case, additional assignment for overtime work may be required. In this case, however, it is determined as No in Step 2104, and the process proceeds to the process shown in FIG.
The same processing as the previous one is performed.

As shown in the present embodiment, the group-based work assignment unit 22 of the work assignment system 20 assigns the work assignment based on the work ability of each cell properly estimated by the group-based work ability correction device 10. , It is possible to prevent an unbalanced work assignment such that a certain cell requires overtime work while another cell has a low operating rate.

Now, the group-specific work capacity correcting device 10 and the work assignment system 20 according to the present invention are positioned in, for example, the entire system as shown in FIG. In FIG. 25, a monthly production plan created by the production planning system 100 is developed by the schedule planning system 101 into daily production units for each model, and is set as a schedule. The group-specific work capacity correction device 10 and the work assignment system 20 Based on the number of daily planning work indicated in the schedule plan,
Through the above processing, work is assigned to cells constituting each workplace of the factory 102. In addition, the work performance of each cell constituting each workplace of the factory 102 is collected, and the work capacity of each cell is corrected daily to provide more appropriate work assignment.

The present invention is not limited to the above embodiments, and various modifications can be made within the scope of the invention described in the claims, and these are also included in the scope of the present invention. Needless to say, this is done.

In this specification, means does not necessarily mean physical means, but also includes a case where the function of each means is realized by software.
Further, the function of one means or member may be realized by two or more physical means or members, or the function of two or more means or members may be realized by one means or member. .

[0121]

According to the work capacity compensating apparatus and work assignment system for each group according to the present invention, the work for inputting the work results is greatly reduced, and the results can be obtained without being affected by daily fluctuations of the work contents. Correction of the reflected work capacity is performed, and it is possible to eliminate the occurrence of overtime due to overestimating the work capacity and the decrease in the operation rate due to the underestimation of the work capacity.

[Brief description of the drawings]

FIG. 1 is a block diagram showing a configuration of a group-specific work capability correction device and a work assignment system according to an embodiment of the present invention.

FIG. 2 is a diagram illustrating an example of a hardware and software configuration according to the embodiment;

FIG. 3 is a diagram for explaining a business operation using the group-based work capacity correction device and the work assignment system according to the present embodiment;

FIG. 4 is a diagram showing one cycle of business operation as a sequence chart.

FIG. 5 is a diagram showing work result data and standard work time data required for calculation of a group-specific work capacity correction coefficient and work assignment processing.

FIG. 6 is a diagram showing work result data and standard work time data required for calculating a work capacity correction coefficient for each group and for work assignment processing.

FIG. 7 is a top view of an example of a workplace using the group-specific work capacity correction device according to the present embodiment;

FIG. 8 is a diagram showing cell information and standard work time per unit number for each model in the present embodiment.

FIG. 9 is a diagram showing work results in a certain workplace on a certain specific day.

FIG. 10 is a diagram showing work results on a certain specific day in a certain workplace.

FIG. 11 is a diagram for explaining a process performed by the group-specific work capability correction device according to the embodiment of the present invention;

FIG. 12 is a diagram for explaining a process performed by the group-specific work ability correction device according to the embodiment of the present invention;

FIG. 13 is a diagram for explaining a process performed by the group-specific work capability correction device according to the embodiment of the present invention;

FIG. 14 is a diagram showing a cell-specific work capacity used in the present embodiment.

FIG. 15 is a diagram for explaining the number of planned works used in the present embodiment.

FIG. 16 is a flowchart illustrating a process of the work assignment system according to the embodiment of the present invention.

FIG. 17 is a flowchart illustrating processing of the work assignment system according to the embodiment of the present invention.

FIG. 18 is a flowchart illustrating a process of the work assignment system according to the embodiment of the present invention.

FIG. 19 is a flowchart illustrating processing of the work assignment system according to the embodiment of the present invention.

FIG. 20 is a flowchart illustrating a process of the work assignment system according to the embodiment of the present invention;

FIG. 21 is a flowchart illustrating a process of the work assignment system according to the embodiment of the present invention;

FIG. 22 is a diagram showing an example of the number of cells allocated to each cell determined in the present embodiment.

FIG. 23 is a diagram showing an example of the number of cells allocated to each cell determined in the present embodiment.

FIG. 24 is a diagram showing an example of the number of cells allocated to each cell determined in the present embodiment.

FIG. 25 is a diagram for explaining a position in the overall system of the present invention.

[Explanation of symbols]

 REFERENCE SIGNS LIST 10 work capacity correction device for each group 11 work performance input device 12 work capacity correction coefficient calculation unit for each group 13 work capacity correction unit for each group 14 storage device 20 work allocation system 22 work allocation unit for each group 100 production planning system 101 scheduling system 102 Factory 200 Main body 201 CPU 202 Memory 203 Input / output control device 204 Communication control device 205 Display 206 Keyboard 207 Mouse 208 Auxiliary storage device 209 Computer

Claims (12)

[Claims] Claims: 1. A group-based work capacity for appropriately estimating a group-based work capacity reflecting work performance in a group-based workplace in which workers form a group and perform work having one or more work types. A correction device, wherein a work result input means for inputting the actual work number and the actual work time for each work type related to each group, and the actual work number for each work type of the group, inputted by the work result input means And, based on the predetermined standard work time per unit for each work type, determine a standard total work time for managing the actual work number, and determine the calculated standard total work time and the work result input means. A group-based work capacity correction coefficient calculation method for calculating the work capacity correction coefficient of the group based on the input actual work time of the group. If, based on the configuration number of workers groups and provision of working hours and,
The working capacity of each group to obtain the working capacity of the group based on the obtained man-hours and the working capacity correction coefficient for the group calculated by the working capacity correction coefficient calculating means for each group. Correction means, and storage means for storing the standard work time per unit number for each work type, group information indicating the number of constituent workers in each group, and the group work capacity obtained by the group work capacity correction means. A work capacity correcting device for each group, comprising: 2. The work result input means inputs a work number by work type per group and a work time per group, and the work capacity correction coefficient by group input by the work result input means. To obtain the actual work number by summing the result obtained by multiplying the standard work time per unit of the work type stored in the storage means by the actual work number for each work type in the group unit for all the work types. By dividing the value obtained by multiplying the actual work time in the group unit input by the work result input means by the number of workers constituting the group by the standard total work time of the group. The group-based work capacity correction device according to claim 1, wherein the work capacity correction coefficient is calculated. 3. The actual work input means inputs the actual work number and actual work time for each work type for each of the workers constituting the group, and the work performance correction coefficient calculating means for each group includes the work actual input means. The value obtained by multiplying the number of actual work by work type for each worker constituting the group by the standard work time per unit of the work type stored in the storage means is summed up for all work types. Determine the standard total work time required to manage the number of actual work for each worker, and divide the standard total work time by the actual work time of the worker input by the work result input means,
Furthermore, by dividing the number of workers constituting the group by the total value of all workers constituting the group,
The apparatus according to claim 1, wherein the apparatus is configured to calculate a work capacity correction coefficient of the group. 4. The terminal installed in each work place, wherein the work result input means transmits the actual work number and the actual work time for each work type related to each group, which are transmitted from the work place where each group is arranged. And input through a network.
4. The group-specific work capacity correction device according to 2 or 3. 5. A work assignment system for assigning a work to each group with reference to the estimated group work capacity, wherein the group work capacity according to any one of claims 1 to 4. A correcting device; and a group-based work allocating means for proportionally distributing the planned number of work of each given work type to each group according to the magnitude of the work capacity of each group stored in the storage means. A work assignment system. 6. A work assignment system for assigning work to each group with reference to the estimated work capacity of each group, wherein the work by group according to any one of claims 1 to 4. A capacity compensator and a group having a sufficient work capacity are selected, the number of planned works for each given work type, the standard work time per unit of the work type stored in the storage means, and the work of the group Based on the ability, in the group selected by the group selection means, so as to correspond to the work ability,
A work assignment system, comprising: a group-based work assignment means for assigning work. 7. The required man-hours for calculating the required man-hours for each work type by the group-based work allocating means multiplying the planned work number for each work type by a standard work time per unit of the work type. Calculating means, work type selecting means for selecting a work type having an unallocated portion of the planned work number, required man-hours for the unallocated portion of the selected work type, and a work capacity margin of the selected group 7. The work assignment system according to claim 6, further comprising: a work man-hour allocating means for allocating a required man-hour according to a work capacity margin. 8. A work type selecting means for selecting a work type having an unallocated portion among the planned work numbers for each work type, and a work capacity margin of the selected group. Allocable number calculating means for calculating the allocable number of the group by dividing the allocable number of the group by the standard work time per unit number of the work type having the allocated amount; 7. A planned work number allocating means for comparing an allocatable number and allocating an unallocated work type according to the allocatable number.
A work assignment system as described in. 9. The group-by-group work allocating means, if the work abilities of all the groups are satisfied by the time all the planned work numbers are allocated, according to the magnitude of the work abilities of each group. 9. The work assignment system according to claim 7, further comprising an additional assignment unit that assigns an additional assignment in proportion to the group. 10. The group-specific work assignment means,
The system according to claim 1, further comprising a priority setting unit configured to set a priority for each of the work types, wherein the work type selection unit is configured to select a work type according to the set priority. 10. The work assignment system according to any one of 7, 8, and 9. 11. The work assignment system according to claim 10, wherein said priority setting means sets the priority in the order of larger standard work time per unit. 12. The work assigning means for each group,
The work according to any one of claims 6, 7, 8, 9, 10, and 11, wherein the group having the largest work capacity is selected from the groups having work capacity margins. Assignment system.