JP2003084818A - Work distributing method and device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To properly distribute the work while considering the ability of each worker when plural kinds of works are performed by plural workers. SOLUTION: This work distributing method for performing plural kinds of works by plural workers, includes a step for calculating the work weight representing the difficulty in each work on the basis of the past work processing power of plural workers, a step for calculating the leveled processing power to each work by each worker on the basis of the work weight and the work processing power data of each worker, and a step for distributing one or plural processed works to each worker on the basis of the leveled processing power. The ability of each worker to each work can be compared on the basis of the same standard by calculating the leveled processing power. Thus, the processed work can be properly distributed to each worker.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an information processing technique for work distribution when a plurality of types of work are performed by a plurality of workers.

[0002]

2. Description of the Related Art For example, Japanese Unexamined Patent Application Publication No. 10-340295 discloses an optimal number of sales personnel for the forecast of the number of spectators, the weather, and the temperature regarding the allocation of food and drink sales personnel at the event venue. Has been disclosed from the statistical result of the actual results, and based on the staff list, a staff allocation planning system for creating a staff allocation list is disclosed. In this sales personnel planning system, the work / sales totalization processing means 1 for the results of the number of sales personnel, sales, external fluctuation factors, and the number of spectators, the workable day registration means 3 of the personnel, and the optimum number of personnel. Includes performance statistical processing means 2 for calculating the number of people, and personnel allocation planning means 4 for allocating an optimal number of personnel and arranging and allocating personnel with excellent sales performance per operating unit time based on personnel management data. . This publication does not consider the case where there are a plurality of processing tasks. When performing multiple processing tasks with multiple personnel in the same time zone, the tasks that should be distributed to each employee vary depending on the difference in processing capacity of each person and the progress of each task at that time. Should be.

Further, Japanese Unexamined Patent Publication No. 2001-92883 discloses a work staffing support device for efficiently staffing each work staff for each work 4. This work staffing support device converts the input work amount of each work into a score using a conversion rate indicating the work easiness of the corresponding work type, and working hours based on the converted score. Required personnel calculation means 9 for obtaining the minimum required personnel in each time zone, and a degree-of-freedom calculation means 12 for calculating a degree of freedom for each work in a plurality of works in which all or part of working hours overlap, and a degree of freedom All work is performed by using the inter-work staff allocation changing means 12 for changing the assumed work staff between a plurality of works instructed by referring to the above, and the assumed work staff, working hours and required staff of each work. An actual work rate calculating means 15 for calculating an actual work rate, and a worker for determining an expected work person of each work that obtains the highest actual work rate among the respective actual work rates calculated before and after the change of the assumed work person as a final required work person. Means of decision And a 5. Although this publication assumes that there are a plurality of jobs, it does not consider the arrangement in consideration of each worker's ability. Although it depends on the work, since the processing amount of each work differs depending on the ability of the individual worker, in order to finish the processing in a shorter time, it is necessary to allocate the ability of each worker in consideration.

[0004]

As described above, according to the prior art, when there are variations in the abilities of the workers and it is necessary to process a plurality of works in the same time zone, the abilities of the individual No technique is disclosed for allocating the work in consideration of the above and ending the work in a shorter time.

Therefore, an object of the present invention is to provide an information processing technique for distributing work in consideration of variations in the ability of each worker when a plurality of types of work are performed by a plurality of workers. Is.

Another object of the present invention is to provide an information processing technique for reducing work time by performing work distribution in consideration of individual ability when performing work distribution.

Furthermore, it is another object of the present invention to provide an information processing technique for evaluating a processing result which is a result according to work distribution.

[0008]

According to the present invention, a work distribution method for carrying out a plurality of types of work by a plurality of workers is a work distribution method for each work using past work processing capacity data of the plurality of workers. A step of calculating a work weight indicating processing difficulty and storing the work weight in a storage device, and a level processing capacity for each work of each worker is calculated using the work weight and the work processing capacity data of each worker, and the storage device And a step of allocating one or a plurality of required work tasks to each worker based on the level processing capacity and storing the allocation result in a storage device. In this way, by calculating the normal processing capacity from the past work processing capacity data for each work of each worker, it becomes possible to compare the capabilities of each worker for each work on the same basis. Therefore, it becomes possible to distribute an appropriate required work to each worker and store the distribution result in the storage device.

Further, the above-mentioned distribution step is performed on each worker based on the above-mentioned level processing capacity for each time cell generated by dividing the time zone in which the work distribution is required into predetermined time units. The configuration may include a step of distributing the work to be processed and storing the distribution result in the storage device. In this way, the work schedule of each worker can be efficiently set by dividing the time zone in which the work distribution is requested into predetermined time units.

Further, in the above-mentioned distribution step, for each worker, the work having the highest level of processing capacity among the work to be processed is distributed to each time cell of the worker, and the distribution result is stored in the storage device. The configuration may include a step of storing. In this way, by first allocating the work requiring work having the highest level of processing ability to each worker, the work requiring work can be completed in a shorter time.

Further, in the above-mentioned distribution step, when the expected work amount exceeds the required work amount for any one of the required work works, at least one of the workers to whom the required work work is distributed May be configured to include a second allocation step of distributing the required work to be processed and storing the distribution result in the storage device. In this way, more efficient work distribution is achieved by allocating other work requiring processing to the worker who has performed the work whose expected work amount exceeds the work required amount.

In the above-mentioned second allocation step, based on the level processing capacity of each worker who has been allocated the required work amount whose expected work amount exceeds the required work amount, for example, this reallocation at that time The configuration may be such that the other required work is completed at the earliest time and the distribution result is stored in the storage device. Thus, the cost can be reduced by further shortening the work processing time.

In the second allocation step described above, at least one of the workers to whom the required work amount whose expected work amount exceeds the required work amount is distributed is leveled out of the other required work items. The work having the highest processing capacity may be distributed to the worker and the distribution result may be stored in the storage device. In this way, by allocating the work requiring work having the highest level of processing ability to each worker, the work requiring work can be completed in a shorter time.

In the above-mentioned second allocation step, the plurality of workers who have been allocated the allocated work, which is the required work for which the expected work amount exceeds the required work amount, are Among them, when the workers have the same highest level processing capacity, among the workers having the same highest level processing capacity, the worker with the lowest processing capacity value of the distributed work needs the other required processing. The work having the highest level of processing capacity among the works may be distributed to the worker and the distribution result may be stored in the storage device. In this way, by allocating the work with the highest level of processing power among the other required work to the workers with the lowest processing power of the allocated work, the work that has not been completed can be completed earlier. Will be able to. Also, among the other required work, the person with the highest level of processing capacity and the person whose level of leveling processing capacity is within the predetermined range from that value are considered as multiple workers who satisfy the above conditions. Among them, the worker with the lowest processing capacity of the allocated work may be selected.

In the second allocation step described above, when there is no other work to be processed, the expected work amount exceeds the work amount to be processed, and the process to the worker having the lowest processing capacity value of the work to be processed is performed. Alternatively, the work distribution may be stopped and the distribution result may be stored in the storage device. In this way, when there is no other work to be processed, the cost can be further reduced by stopping the distribution of the work to be processed to the worker whose processing capacity of the allocated work is the lowest.

In the present invention, for one work time unit for which work distribution is requested, the expected work amount is less than the required work amount even though the work to be processed is distributed to each worker. When there is work, the configuration may further include a step of confirming whether or not the required work for which the expected work amount is less than the required work amount is set to be postponed. In this way, since the procrastinable flag can be attached to the procrastinable work, the planning can be made flexible.

Further, in the present invention, when the probable work amount whose work amount is less than the probable work amount described above is set to be postponed, a step of acquiring the insufficient work amount is further included. It may have any configuration. At this time, the insufficient work amount is acquired for consideration in the next distribution process, for example.

In the above-mentioned distribution step or the above-mentioned second distribution step, when there are a plurality of work items having the highest level of processing ability among the required work items for the same worker,
The work may be distributed to the worker based on the priority, and the distribution result may be stored in the storage device. In this way, by setting the priority for the work to be processed, it is possible to deal with a case where there is a plurality of works having the highest level of processing capacity among the work to be processed for the same worker. Further, the work having the higher priority is more likely to be completed earlier. Further, a structure in which the work having a value within a predetermined range from the value having the highest level of processing capacity among the work requiring processing for the same worker is regarded as the work having the highest level of processing capacity, and is selected based on the priority. Is also possible.

In the present invention, the input of the information regarding the actual processing amount for each work and the time spent therefor by each worker is accepted, and the level work amount for each work of each worker is calculated using the past work weight. The configuration may further include steps. In this way, by inputting information on the actual amount of work by each worker and the time spent therefor, the changes in the level processing capacity for each work are compared for each worker based on past work weights. You will be able to.

The work distribution method described above may be realized by a program executed by a computer.
At this time, the combination of the computer and the program is
It becomes a work distribution device. The program is stored in a storage medium or storage device such as a flexible disk, a CD-ROM, a magneto-optical disk, a semiconductor memory, a hard disk. It may also be distributed via a network. The intermediate processing result is temporarily stored in the memory.

[0021]

FIG. 1 shows a functional block diagram according to an embodiment of the present invention. In the example of FIG. 1, a computer 1 which is a work distribution processing system, an input device 3 and a display device 5 connected to the computer 1 are provided. The computer 1 is provided with a condition input processing unit 11, a work distribution processing unit 12, and a work processing performance evaluation processing unit 13. Further, as an information storage unit referred to by each processing unit, a condition input data storage unit 14 that stores the data received at the time of condition input, and a level processing capability data storage unit 15 that stores the level processing capability data of each worker, which will be described later. , A distribution result data storage unit 16 for storing a work distribution result, and a performance data storage unit 17 for storing performance data as a result of actually performing work according to work distribution and processing capacity data for each work of each worker in the past. It is provided. Data input to each processing unit is performed by the input device 3, and the input data and the processing result are displayed on the display device 5.

Next, FIG. 2 shows a processing flow of the system shown in FIG. First, the condition input processing unit 11 carries out condition input processing (step S1). Next, the work distribution processing unit 12
Performs work distribution processing (step S3). Finally, the business process performance evaluation processing unit 13 executes the business process performance evaluation process (step S5). The description of each of these steps will be given below with reference to a specific example created on the assumption that work distribution will be actually carried out.

FIG. 3 shows a processing flow of the condition input processing relating to step S1 in FIG. Figure 4 here
The actual condition input process will be described with reference to FIG.

First, the condition input processing unit 11 prompts the user to input the setting in units of one working time, and the user inputs the setting in units of the one working time. Then, the condition input processing unit 11 accepts the setting input in units of one working time and stores it in the condition input data storage unit 14 (step S11).
As the setting pattern for one working time unit, for example, any one of the patterns (I) to (IV) as shown in FIG. 4 is used. That is, for the pattern (I), one working time unit is from 9:00 to 17:00. For pattern (II), 9 o'clock to 12 o'clock is one working time unit, and 13 o'clock to 17 o'clock is one working time unit.
Two work time units are provided in the time zone from 17:00 to 17:00. Regarding pattern (III), one working time unit from 13:00 to 17:00 of pattern (II) is further divided into two, and three working time units are provided in the time zone from 9:00 to 17:00. Regarding pattern (IV), one working time unit from 9:00 to 12:00 of pattern (III) is further divided into two, and four working time units are provided in the time zone from 9:00 to 17:00. In this way, the user can set a pattern that suits the situation of the required work for each time zone. This work time unit is, for example, when there is a work to be preferentially processed in a specific time zone, only that work is intensively processed as work requiring processing, or when the worker is different depending on the time zone It can be arbitrarily set according to its purpose, such as distributing work to each group. For example, when the user sets the pattern (I) here, first, FIG.
Since the input screen as shown in is displayed on the display device 5,
The user inputs and sets the start time and the end time of one working time unit by using the input device 3. The data input here is received by the condition input processing unit 11 and stored in the condition input data storage unit 14.

Next, the condition input processing unit 11 prompts the user to input settings in time cell units, and the user inputs settings in time cell units. Then, the condition input processing unit 1
1 receives a setting input in time cell units and stores it in the condition input data storage unit 14 (step S12). The work distribution in the present embodiment is performed for each time cell unit generated by dividing one work time unit for each time set by the user. Here, the user sets the time cell unit required for that purpose. For example, when the user sets the time cell unit to 30 minutes, the input screen as shown in FIG. 5B is displayed on the display device 5, and the user inputs the time cell unit using the input device 3. The data input here is received by the condition input processing unit 11 and stored in the condition input data storage unit 14. It should be noted that, here, for example, a specific time zone such as a break time during lunch break can be excluded from the target of the time cell. In that case, from the input screen that is not displayed in FIG.
This data is received by the condition input processing unit 11 and stored in the condition input data storage unit 14.

Next, the condition input processing unit 11 prompts the user to input the work type setting, and the user inputs the work type setting to the user. Then, the condition input processing unit 11 receives the setting input of the work type, and the condition input data storage unit 14
(Step S13). Here, the user sets and inputs the required work in one work time unit. For example, the user can perform a full-time return process (full-return process A), instruction confirmation B, application browsing C, and file processing D in units of one working hour.
When setting one process-requiring work, an input screen as shown in FIG. 5C is displayed on the display device 5, so that the user inputs the above four process-requiring works using the input device 3. The type of required work input here is the condition input processing unit 11
Is received and stored in the condition input data storage unit 14.

Next, the condition input processing section 11 prompts the user to input the setting of the required work amount for each work for each work time unit, and the user inputs the setting of the required work amount. Then, the condition input processing unit 11 receives the setting input of the required work amount and stores it in the condition input data storage unit 14 (step S14). Here, the user sets and inputs the amount of work to be processed in units of one work time for each work to be processed set in step S13. For example, in the case where the user sets 320 return processings (full return processings A), 100 instruction confirmation Bs, 40 application browsing Cs, and 1200 file processings D among the above-mentioned required processing operations, as shown in FIG. Since the input screen as shown in c) is displayed on the display device 5, the user inputs the required work amount for each of the above four required work by the input device 3. The condition input processing unit 11 accepts the respective required work amounts input here, and is stored in the condition input data storage unit 14.

Next, the condition input processing section 11 prompts the user to input the setting of whether or not procrastination is possible for each process requiring work, and the user inputs the deferral requiring process work, if any. When the condition input processing unit 11 receives the setting input of the procrastination enabled by the user, the condition input processing unit 11 sets the procrastination possible flag of the work requiring processing to ON in the condition input data storage unit 14 (step S15). If there is a work that can be postponed among the work requiring processing, the user can set the postponement so that the work distribution process can be completed even if there is an unprocessed work remaining for that work. For example, in the case where the user sets the postponement possible for the file process D among the above-mentioned required work, the input screen as shown in FIG. In the field of "deferral allowed" for the work of the file processing D, deferment "allowed" is input. For the work that can be postponed, the postponement flag is set to ON in the condition input data storage unit 14.

Next, the condition input processing section 11 calculates the average processing capacity by reading out the processing capacity per unit time (here, the same as the time cell unit) for each work and for each worker from the actual data storage section 17. Then, the calculation result of the average processing capacity is stored in the condition input data storage unit 14. Then, the condition input processing unit 11 includes the calculation result of the average processing capacity in the processing capacity table for each work and each worker and displays it on the display device 5 (step S16). Here, the condition input processing unit 11 reads the past processing performance data from the performance data storage unit 17,
A screen as shown in (d) is displayed on the display device 5. That is, the processing capacity of each worker for each work, the average processing capacity of all the workers for each work, and the required work amount for each work set and input in step S14 are shown.

Next, the condition input processing unit 11 prompts the user to input and set the distribution priority order for each work, and the user inputs and sets the distribution priority order for each work. Then, the condition input processing unit 11 receives the setting input of the distribution priority order for each work, and stores it in the condition input data storage unit 14 (step S17). Here, the user sets and inputs the priority order for each work in consideration of the progress status and importance of each work. For example, in the case where the user sets the priority order of the required work in order from the highest order, the maturity return process (full return process A), the instruction confirmation B, the application browsing C, and the file process D, as shown in FIG. Since the input screen is displayed on the display device 5, the user uses the input device 3 to enter (1), (2), (3), and (4) in descending order of priority in the “same order” column in the table. input. The priority order input here is accepted by the condition input processing unit 11 and stored in the condition input data storage unit 14. This priority order can be used, for example, when there is a plurality of work-necessary tasks that can be distributed because there are a plurality of tasks having the highest level of processing capacity for a certain worker. Further, the distribution priority order for each work can also be determined based on the leveled required work amount obtained by multiplying the work weight for each work described later by the required work amount (see FIG. 7A).

Next, the condition input processing section 11 prompts the user to set and input the target value of each work processing amount, and the user inputs and sets the target value of each work processing amount. Then, the condition input processing unit 11 receives the setting input of the target value of each work and stores it in the condition input data storage unit 14 (step S18). Here, the target value is set and input with reference to the average processing capacity calculated in step S16. For example, the average processing capacity is 6.71 for the maturity return processing (full return processing A), 4 for the instruction confirmation B, 4.57 for the application browsing C, and 60.1 for the file processing D, whereas the user aims The value is 7 for the above work,
It shall be set as 5, 5, and 65. In this case,
Since the input screen as shown in (d) is displayed on the display device 5, the user uses the input device 3 for the maturity return process (full return process A) in the “Target” column in the table, and the instruction confirmation B. Input 5 to the application browsing C and input 5 to the file processing D. The data input here is received by the condition input processing unit 11 and stored in the condition input data storage unit 14. By performing the above processing, the data as shown in FIG. 5 is stored in the condition input data storage unit 14. This completes the preparations for the following processing.

FIG. 6 shows a process flow of the work distribution process in step S3 in FIG. Here, Fig. 7
The actual work distribution process will be described with reference to FIG.

First, the work distribution processing unit 12 divides the specified value arbitrarily set by the user by the average processing capacity for each work required to be read out from the condition input data storage unit 14 to obtain each work required. The work weight is calculated, and the calculation result is stored in the level processing capacity data storage unit 15 (step S21). The specified value described above can be set arbitrarily such as 1, 10 and 100.
For example, when the default value is set to 10, the value in FIG.
As shown in, the work weights for each work to be processed are 1.49 for the maturity return process (full return process A), 2.50 for the order confirmation B, 2.19 for the application browse C, and 0.17 for the file process D. Becomes The work weight represents the difficulty of the work.

Next, the work distribution processing unit 12 reads out the work weight for each work to be processed from the level processing capacity data storage unit 15, and reads the work capacity of each worker from the actual result data storage unit 17 for each work to be processed. Is read out, and the read-out value is multiplied to calculate the value of the level processing capacity of each worker for each required work, and the calculation result is stored in the level processing capacity data storage unit 15 (step S23). The above-mentioned level processing capacity represents the processing capacity after converting each work with the same standard. For example, in this case, the level processing capacity for each worker of each processing required work is the value shown in FIG. 7B.

Next, the work distribution processing unit 12 performs step S
The one work time unit set in 11 and the time cell unit set in step S12 are read from the condition input data storage unit 14, the one work time unit is divided for each time cell unit, and the division result is stored in the storage device. (Step S2
5). In the above-mentioned example, the user sets and inputs one working time unit from 9:00 to 17:00, a time cell unit as 30 minutes, and a time period outside the work target from 12:00 to 13:00.
It is divided as shown in the column of “time cell” in FIG.

Next, the work distribution processing unit 12 reads out the level processing capacity of each worker from the level processing capacity data storage unit 15 for each work to be processed, and indicates to each worker the level of the level processing capacity among the work to be processed. The highest work is distributed, and the distribution result and the expected work amount and excess / deficiency amount based on the distribution result are stored in the storage device (step S27). For example, the required work having the highest level of processing capacity for the worker a is the maturity return process (full return process A), and therefore the first 9 items of the worker a are processed.
The work distributed to the time cell at 9:30 from the time is the maturity return process (full return process A). When the work is distributed to other workers in the same manner, the work allocated to the time cell from 9 o'clock to 9:30 is e for maturity return processing (full return processing A) and b and f for order confirmation. B, d and g are application browsing C, and c is file processing D, as shown in FIG. 7C.
Further, in a table as shown in FIG. 7D, the excess / deficiency amount which is the difference between the expected work amount and the required work amount at the time when the one-hour cell distribution is completed is calculated and stored.

Next, the work distribution processing unit 12 allocates the cell work to each worker for one hour, and then judges whether or not the expected work amount becomes equal to or more than the required work amount for any one of the required work. (Step S29). As a result, if the expected work amount of any of the required work operations is equal to or more than the required work amount, the process proceeds to step S31, and the expected work amount of any of the required work operations is not equal to or more than the required work amount. Advances to step S41. Further, the expected work amount is a value obtained by adding the processing capacity per hour cell for each worker according to the distribution result for each work. here,
The case where the process proceeds to step S41 will be described first.

For example, in step S29, when the expected work amount does not exceed the required work amount for any required work, the work distribution processing unit 12 determines that the expected work amount of all required work is equal to or more than the required work amount. It is determined whether or not all time cells within one work time unit for which work distribution is requested have been filled (step S41). If any one of the above conditions is satisfied, the process proceeds to step S45 (FIG. 8) via the terminal A, and the distribution result is stored in the distribution result data storage unit 16. If none of the above conditions are met, the process proceeds to step S43. Here, the case where the process proceeds to step S43 will be described first.

In step S41, if the expected work amount of all the work to be processed does not exceed the work required work amount and all the time cells in one work time unit for which work distribution is requested are not filled, The work distribution processing unit 12 shifts to the next time cell row, and distributes the same work as the previous time cell to each worker. However, for the workers who have been allocated the distributed work that is the work whose expected work volume is equal to or more than the required work volume, the data is read from the level processing capacity data storage unit 15 and the required processing other than the distributed work is required. The work having the highest level of processing capacity among the works is distributed, and the distribution result and the expected work amount and excess / deficiency amount based on the distribution result are stored in the storage device (step S43). After that, the process returns to step S29. In the example of FIG. 7C, one working time unit is from 9:00 to 1
It is set at 7 o'clock, and the expected work volume does not exceed the required work volume for any of the required work from 9:00 to 10:30. Therefore, from 9:00 to 10:30
As for the work distribution up to the minute, the same work as the previous time cell is distributed by repeating step S29, step S41, and step S43, and the work shown in the row from 9:00 to 10:30 in FIG. 7C. It will be as allocated.

If, in step S29, the expected work amount for one of the required work tasks becomes equal to or greater than the required work quantity, the work distribution processing unit 12 reduces the distribution time cell according to the conditions as described below. A process is implemented (step S31). In other words, when there is another work to be processed other than the distributed work that is the work whose expected work volume has become equal to or greater than the work volume to be processed, among the workers who have been allocated the distributed work, Decrease the time cell by one for the worker with the highest level of throughput for work requiring work. On the other hand, there are other work to be processed other than the allocated work,
If more than one of the workers to whom the allocated work has been allocated has the same highest level processing capacity for the other work requiring processing, the lowest level processing capacity for the allocated work among the plurality of people shall be assigned. Decrement one time cell for the worker with. If there is no other work to be processed, the time cell of the worker having the lowest level processing capacity for the distributed work among all the workers to whom the distributed work has been allocated is decreased by one. In the example of FIG. 7C, in the time cell row from 10:30 to 11:00, the expected work amount (44) of the work of the application browsing C is as shown in the row of the application browsing C in FIG. 7D. Since the amount of work required to be processed (40) or more and there is another work to be processed, the highest level processing capacity work D of the other work to be processed among the workers d and g who were performing the application browsing C Of (11.6)
The time cells of d with will be reduced. As the above condition, a condition may be applied in which the time cell of the worker having the smallest difference between the leveled processing capacity of the distributed work and the leveled processing capacity of the other required work is reduced. In this case, there may be a plurality of workers who have the same difference, but in that case, the time cell of the worker having a high level processing ability of other required work is reduced.

Next, the work distribution processing unit 12 performs step S3.
The expected work amount of the distributed work is reduced according to the time cell reduction performed in step 1 and it is determined whether or not the expected work amount of the distributed work satisfies the required processing amount (step S33). If the expected work amount of the distributed work satisfies the required processing amount, the process proceeds to step S37. If the expected work amount of the distributed work does not satisfy the required processing amount, the process proceeds to step S35.
In the example of FIG. 7C, in the time cell row from 10:30 to 11:00, the expected work amount (44) of the work of the application browsing C is required as shown in the row of the application browsing C of FIG. 7D. Although it is more than the processing work amount (40), when the time cell of the worker d is reduced, the expected work amount of the distributed work (44-6 = 38)
(See FIG. 7A)) does not satisfy the required processing amount. Therefore, here, the case of proceeding to step S35 will be described first.

If it is determined in step S33 that the expected work amount of the distributed work does not satisfy the required processing amount,
The work distribution processing unit 12 redistributes the original work for the time cells reduced in step S31, and stores the distribution result and the estimated work amount and excess / deficiency amount based on the distribution result in the storage device (step S35). . In the example of FIG. 7C,
When the time cell of the worker d is reduced as described above,
Since it is determined that the expected work amount of the distributed work does not satisfy the required processing amount, the work of the application browsing C is again distributed to the worker d. Therefore, from 10:30 to 11
Figure 7 (c) for the work distribution in the time cell row
It becomes as shown in. After this, the process proceeds to step S41.

However, in step S41, the expected work amount of all the required work is not equal to or more than the required work amount, so that the process proceeds to step S43. Step S4
At 3, the next time cell row is transitioned to and workers a, b, c,
For e and f, the same work as in the previous time cell is distributed, and both the workers d and g who have been allocated the application browsing C, which is the work whose expected work volume exceeds the required work volume, have already been distributed. The file process D, which is the work having the highest level of uniform processing capacity among the required work other than the work, is distributed.
As shown in FIG. 7B, the worker d is 11.6 and the worker g
This is because in 9.98, the file processing D is the work with the highest level of processing ability among the required work other than the distributed work. Therefore, the time cell row from 11:00 to 11:30 is as shown in FIG.
After this, the process returns to step S29.

In the example of FIG. 7 (c), 1:30 from 1:30
Until 4 pm, the expected work volume does not exceed the required work volume for any work requiring processing.
As for the work distribution from the minute to 14:00, the same work as the previous time cell is distributed, and the work is distributed from 11:30 from 1:30 in FIG. 7 (c).
The work distribution will be as shown in the line by 4:00. Here, step S29, step S41, and step S43 are repeated.

However, in the time cell line from 14:00 to 14:30, the expected work amount (1244) of the work of the file process D is the required work amount (1200 ) As above, step S2
After 9, the process proceeds to step S31. In step S31, the worker c who was working on the file processing D,
Among d and g, there are two workers, c and d, who have the highest level processing capacity (10.4) for the other work to be processed (full return processing A and instruction confirmation B). Therefore, the workers c and d
Of these, the time cells of the worker c having a lower level processing capacity (11 against d of 11.6) for the distributed work will be reduced. After that, the process proceeds to step S33, but since the expected work amount of the distributed work (1244-66 (see FIG. 7A) = 1178) does not satisfy the required work amount, the process proceeds to step S35. In step S35, the original work, file processing D, is redistributed with respect to the reduced time cell, and as a result, from 14:00 to 14:00.
In the 0 minute time cell row, the result is as shown in FIG.

After that, the process proceeds to step S41, but since the expected work amount of all the required work is not more than the required work amount, the process goes to step S43. Step S43
Then, the process shifts to the next time cell row, and the same work as that of the previous time cell is distributed to the workers a, b, e, and f, and the expected work amount is a work amount that is equal to or more than the required work amount file processing. For the workers c, d, and g to which D was allocated, the maturity return process (full return In the process A), the work of the instruction confirmation B is distributed to the worker g. As shown in FIG. 7B, the workers c and d are both 10.
4 is the maturity return processing (full return processing A), the worker g is 7.5, and the instruction confirmation B is the work with the highest level of processing ability among the required work other than the distributed work. is there.
Therefore, the work distribution in the time cell row from 14:30 to 15:00 is as shown in FIG. 7 (c). After this, the process returns to step S29.

However, in the time cell row from 14:30 to 15:00, the expected work amount of the work of the instruction confirmation B (103)
Is greater than the required work amount (100), step S
Move to 31. In step S31, among the workers b, f, and g who were performing the work of the instruction confirmation B, the highest level processing capacity (11.
The time cells of b with 9) will be reduced. After that, the process proceeds to step S33, but if the time cell of the worker b is reduced, the expected work amount of the distributed work (103-
6 (see FIG. 7A) = 97) is less than the required work amount, the process proceeds to step S35. In step S35,
The original work is redistributed with respect to the time cells reduced in step S31, the distribution result and the estimated work amount and excess / deficiency amount based on the distribution result are stored in the storage device, and step S4
Move to 1.

In step S41, since the expected work amount of all the required work is not equal to or more than the required work, the process proceeds to step S43. At this time, the workers b, f, and g who have been allocated the allocated work are allocated the work of the full term return processing (full return processing A) which is the only remaining work to be processed. Further, all the other workers are assigned the work of the maturity return process (full return process A), which is the same work as the previous time cell.
After that, the process returns to step S29.

In the example of FIG. 7 (c), from 15:00 to 16:00
Until 0 minutes, the expected work volume of the full-repeat processing A, which is the only work required, does not exceed the work required, so at 15:30
For the work distribution from the minute to 16:30, steps S29, S41, and S43 are repeated to distribute the same work as the previous time cell.
The work distribution will be as shown in the line (c) from 15:30 to 16:30.

In the time cell row from 16:30 to 17:00, the maturity return processing (full return processing A) is performed in step S29.
The expected work amount (362) is the work amount required to be processed (32
Since 0) or more, the process proceeds to step S31. In step S31, the time cell of the worker g having the lowest level processing capacity (5.96) for the maturity return process (full return process A) that has become the distributed work because there is no other work to be processed is reduced. . After that, the process proceeds to step S33, but the expected amount of work in the maturity return process (full return process A) (36
2-4 = 358) (see FIG. 7A) is the required processing amount (32
0) is satisfied, and the process proceeds to step S37. In step S37, since there is no other work to be performed, the time cell of the worker g remains reduced. Next, the process proceeds to step S39, but since the expected work amount of the work in the maturity return process (full return process A) is not equal to the required process amount, the process returns to step S31. After that, the above steps are repeated, and the workers f, e, and
The time cells are reduced in the order of c, d, b, and a. However, when the time cell of the worker a is reduced in step S31 and then the process proceeds to step S33, the expected work amount (315) of the distributed work does not satisfy the required work amount (320). Therefore, the process proceeds to step S35, and the worker a
The work of the original maturity return processing (full return processing A) is allocated to the reduced time cells of, and the maturity return processing is performed as shown in the line of the maturity return processing (full return processing A) of FIG. The expected work volume of (full-reply processing A) is 324 (= 315 + 9)
(See FIG. 7A)). Then step S41
Move to. In step S41, the expected work amount of all the required work becomes equal to or more than the required work amount, and one work time unit for which work distribution is requested (9:00 to 17:00)
It is determined that all the time cells in are filled. Therefore,
The work distribution processing unit 12 stores the distribution result and the expected work amount and excess / deficiency amount of each work based on the distribution result in the distribution result data storage unit 16, and through the terminal A, step S45.
Proceed to (Fig. 8). At least data as shown in FIGS. 7C and 7D is stored in the distribution result data storage unit 16.

Here, assuming that the required work amount of the work of the instruction confirmation B is 104, for example, among the required work described above, the flow in the time cell after 15:00 will be described. The work of the instruction confirmation B requires a work amount of 104
In this case, since the expected work amount (116) of the work of the instruction confirmation B becomes equal to or more than the required work amount (104) in the time cell row from 15:00 to 15:30, the process proceeds to step S31. In step S31, the time cell of b having the highest level processing capacity (11.9) for the other required work (full return processing A) among the workers b, f, and g who were performing the work of the instruction confirmation B. Will be reduced. After that, the process proceeds to step S33, but even if the time cell of the worker b is reduced, the expected work amount of the already distributed work (116-6
(See FIG. 7A) = 110) is equal to or more than the work amount required to be processed, so the process proceeds to step S37.

When it is determined in step S33 that the expected work amount of the distributed work satisfies the required processing amount, the work distribution processing unit 12 distributes the distributed work when there is another required processing work. Among the other required work, the work with the highest level of ability is allocated to the time cells reduced by the number of workers. However, when there is no other work to be processed, it is kept reduced, and the distribution result and the estimated work amount and excess / deficiency amount are stored in the storage device (step S37). Figure 7
In the example of (e), since there is only the maturity return process (full maturity process A) as the other required work for b whose time cell has been reduced in step S31, the work of the maturity maturity return process (full maturity process A) is distributed. . After this, the process proceeds to step S39.

Next, the work distribution processing unit 12 performs step S3.
Based on the distribution result carried out in 7, it is judged whether or not the expected work amount of the distributed work is equal to the required work amount (step S39). Here, if the expected work amount of the distributed work is equal to the required work amount, the process proceeds to step S41, and if the expected work amount of the distributed work is not equal to the required work amount, the process returns to step S31. In the example of FIG. 7E, the expected work amount (110 = 116-6 (see FIG. 7A)) of the work of the instruction confirmation B is still required in the time cell row from 15:00 to 15:30. Since it is not equal to the amount (104), the process returns to step S31.

In step S31, the time cell of f having the highest level processing capacity (7.45) for the other required work among the workers f and g to whom the distributed work has been distributed is reduced. Become. Then step S33
Move to. At this time, since the expected work amount (110-4 (see FIG. 7A)) = 106 of the work of the instruction confirmation B still satisfies the required work amount (104), the process proceeds to step S37. In step S37, since there is still another work to be processed, the maturity return process (full return process) that is the last one of the other work to be processed in the reduced time cell of the worker f who has been allocated the allocated work Work of return processing A) is distributed (Figure 7)
(See (e)). After this, the process proceeds to step S39. However, in step S39, since the expected work amount (106) of the work of the instruction confirmation B is not equal to the work amount required to be processed, the process returns to step S31. In step S31, the time cell of g, which is the last one of the workers b, f, and g performing the work of the instruction confirmation B, is reduced. Then, the process proceeds to step S33. At this time, the expected work amount of the work of the instruction confirmation B (106-3 (see FIG. 7A)) = 10
3) does not satisfy the required work amount (104), the process proceeds to step S35. In step S35, step S
The original work is redistributed with respect to the time cell reduced in 31, and the distribution result and the expected work amount and excess / deficiency amount based on the distribution result are stored in the storage device.

Next, the continuation of the work distribution process in step S3 of FIG. 2 will be described with reference to FIG. Here, from step S41 of FIG. 6 through terminal A to step S45 (FIG. 8)
The case of shifting to will be described with reference to FIG. 7.

In step S41 (FIG. 6), all of the time cells within one work time unit for which the expected work amount of all work-required work becomes equal to or greater than the work-required work amount or work distribution is requested are filled. If any one of the above conditions is satisfied as a result of determining whether or not the work is allocated, the work distribution processing unit 12
Displays the distribution result at the time when the above conditions are satisfied on the display device 5 (step S45). The work distribution processing unit 12 displays screens as shown in FIGS. 7C and 7D on the display device 5 as a distribution result.

Next, the work distribution processing section 12 carries out step S4.
It is determined whether or not the expected work amount of each work satisfies the required work amount for the distribution result displayed in 5 (step S47). Here, if the expected work amount of each work satisfies the required work amount, the process proceeds to step S63, and if the expected work amount of any work does not satisfy the required work amount, the process proceeds to step S49. According to the example shown in FIG. 7D, the expected work amount of each work satisfies the required work amount. Therefore, here, the case of proceeding to step S63 will be described first.

The work distribution processing unit 12 determines whether or not all work time units have been processed (step S63). If all the work time units have been processed, the work distribution process is terminated, and if all the work time units have not been processed, the process returns to step S27 (FIG. 6) via the terminal B. For example, in this case, the user has set only one work time unit, and since the processing for the set work time unit has ended, the work distribution processing ends.

In step S47, when it is determined that the expected work amount of any work does not satisfy the required work amount in the displayed distribution result, the work distribution processing unit 12 determines that the expected work amount is the required work amount. It is determined by referring to the condition input data storage unit 14 whether or not the postponement flag of unallocated work, which is a work that does not satisfy the amount, is turned on (step S49). Here, if the procrastination flag of the work is off, the process proceeds to step S51, and if the procrastination flag of the work is on, the process proceeds to step S55. This step will be described later again using the examples of FIGS. 11 and 13. Here, the case of proceeding to step S51 will be described first.

When the postponement flag of unallocated work is off, the work distribution processing unit 12 prompts the user to determine whether to manually adjust the work distribution, and the user responds to the manual work distribution adjustment. Select and enter whether or not to make adjustments. Then, the work distribution processing unit 12 receives the selection input (step S51). If the user selects manual adjustment here, the process proceeds to step S53. If the user selects not manual adjustment, the condition input process (step S11 (FIG. 3)) is performed. Here, the process returns to the condition input process (step S11 (FIG. 3)) because the flag of postponement of unfinished distribution work is forgotten to be turned on, the required processing amount needs to be changed, or the condition input process is performed again. This is a case where the user determines that the setting is necessary.

When the user selects manual adjustment in step S51, the work distribution processing unit 12 prompts the user to input adjustment of work distribution.
The input screen as shown in (d) is displayed on the display device 5. On the other hand, the user makes an adjustment input of the work distribution by the input device 3, and the work distribution processing unit 12 receives it.
Stored in the distribution result data storage unit 16 (step S5).
3). At this time, the data of the expected work amount and the excess / deficiency amount based on the new distribution result is also stored in the distribution result data storage unit 16. This step will be described later with reference to FIGS.
Will be explained again using. Then, the process proceeds to step S54.

Next, the work distribution processing section 12 carries out step S53.
It is determined whether or not the expected work amount of each work satisfies the required work amount in the distribution result of the manual work distribution in step S54. If the expected work amount of each work satisfies the required work amount, step S63.
If the expected work amount of any work does not satisfy the required work amount, the process proceeds to step S55.

If the postponement flag of unallocated work is turned on in step S49, or if the expected work amount of any work does not satisfy the required work amount in step S54, the work distribution processing unit 12 first The extended work amount (insufficient work amount) is acquired from the distribution result data storage unit 16 (step S55). As a result of manual work distribution, if the expected work amount of any work does not meet the required work amount again, the procrastination amount is acquired in step S.
The reason for proceeding to 55 is that the result of manual work distribution is to be respected as the final judgment of the user. However, the configuration may be such that the process returns to step S49 in step S54. Returning to step S49 is effective when adjusting the work for which the procrastination flag is set to on in step S53 so that a shortage of work occurs. Further, the configuration may be such that the processing returns to the condition input processing (FIG. 3). This step will be described later again using the examples of FIGS. 11 and 13.

After acquiring the procrastination work amount, the work distribution processing unit 12 prompts the user to determine whether to add the procrastination work amount to the next work time unit. On the other hand, the user uses the input device 3 to select whether to add the deferred work amount to the next work time unit, and the work distribution processing unit 12
Accepts the selection input. However, when the user presets whether or not to add the postponed work amount to the next work time unit, the work distribution processing unit 12 branches according to the setting (step S57). If the procrastination amount is added to the next work time unit, the process proceeds to step S59, and if the procrastination amount is not added to the next work time unit, the process proceeds to step S63. This step will be described later in FIG.
1 and the example of FIG. 13 again. Here, the case of proceeding to step S59 will be described.

If the user selects in step S57 to add the deferred work amount to the next work time unit,
The work distribution processing unit 12 determines whether or not there is a next work time unit to which the deferred work amount is added, as the condition input data storage unit 1
Read determination is made from step 4 (step S59). If there is a next work time unit, the process proceeds to step S61. If there is no next work time unit, the work distribution process ends. Here, the distribution result including the insufficient work amount is stored in the distribution result data storage unit 16. By doing so,
Next, a new working time unit is set and can be taken into consideration when making a condition input for that working time unit.
This step will be described later again using the examples of FIGS. 11 and 13. Here, the case of proceeding to step S61 will be described.

When it is determined in step S59 that there is a next work time unit, the work distribution processing unit 12
The postponed work amount is added to the required work amount of the work in the next work time unit and stored in the condition input data storage unit 14 (step S61). This step will be described later again using the examples of FIGS. 11 and 13. After this,
The process returns to step S27 (FIG. 6) via the terminal B. By performing the work distribution processing as described above, it becomes possible to distribute a plurality of works to the workers in consideration of the variation in the capabilities of the workers. In addition, the device is designed to shorten the working time as a whole, and the priority order of the work is also taken into consideration.

FIG. 9 shows a process flow of the business process performance evaluation process in step S5 of FIG. Here, an example of the business process performance evaluation process will be described with reference to FIG.

After performing the work according to the work distribution by the work distribution processing unit 12, the work processing performance evaluation processing unit 13
The user is urged to input the actual processing amount for each processing work by each worker and the number of time cells spent therefor, and the user inputs data thereto. Then, the business process performance evaluation processing unit 13 accepts the input of the current performance processing amount for each processing work by each worker and the number of time cells spent therefor, and stores it in the performance data storage unit 17 (step S71). First, the job processing performance evaluation processing unit 13 causes the display device 5 to display an input screen as shown in FIGS.
By this, the actual processing amount of this time for each processing work by each worker and the number of time cells spent therefor are input.

Next, the job processing performance evaluation processing unit 13 calculates the actual processing amount per hour cell (see FIG. 10C) based on the data input in step S71, and stores the calculation result in the actual data storage unit. 17 (step S7)
3).

Next, the work processing performance evaluation processing unit 13 multiplies the value of the performance processing amount per hour cell calculated in step S73 by the past work weight (step S21) to determine the work of each worker. The level processing amount is calculated, and the calculation result is stored in the performance data storage unit 17 (step S75). Here, the reason why the past work weight is used is to enable comparison with the same reference when comparing with past performance data in a later step (step S77).

Next, the work processing performance evaluation processing unit 13 displays the contents input by the user in step S71, the result calculated in step S75, and the past performance data for the result in a comparable state (step S77). For example, the screens shown in FIGS. 10A, 10B, 10D, and 10E are displayed on the display device 5. 10 (d) and 10 (e), the level of the leveled processing amount (FIG. 10 (d)) and leveled processing capacity (FIG. 1) for each worker in the column of each worker.
0 (e)) and the average leveling throughput (FIG. 10 (d)) and leveling throughput (FIG. 10) of all the work within one work time unit.
(E)) is shown, and the average column shows the average level of throughput for each work for the entire group (Fig. 10 (d)).
And the leveling processing capacity (FIG. 10 (e)), the average leveling processing amount (FIG. 10 (d)) and the leveling processing capacity (FIG. 10 (e)) of all the work within one working time unit are shown. . Figure 10
By comparing (d) and (e), from the column of each worker, the leveling processing amount of this time and the leveling processing capacity in the past for each work for the same worker, and within each working time unit were set. It is possible to compare the current average leveling throughput of all work with the past average leveling throughput. Also, from the average column, the current level processing amount and past level processing capacity for each work for the entire group, and the current level level processing amount and past average for all the work within the entire work group for the entire group The level of throughput can be compared. Also, by looking at the rows of each work, it is possible to compare the level of throughput between workers.

When the user gives an instruction to end,
The work processing performance evaluation processing unit 13 ends the processing according to the instruction. As a result, the work distribution manager, who is the user,
It will be possible to evaluate the performance of each worker and the performance of the entire group.

Next, the work distribution process of FIGS. 6 and 8 will be described with reference to FIG. 11 in the case where there is work that can be postponed.

First, in the example of FIG. 11, the condition input processing S
In 1 (Fig. 3), one working time unit is from 9:00 to 17
Hour, time cell unit is 30 minutes, types of work required are maturity return processing (full return processing A), instruction confirmation B, application browsing C, file processing D, and the amount of work required is 320, 1
00, 40, and 2400 are set. Further, regarding the postponement flag, a case where the maturity return process (full return process A) is set to ON and a case where the file process D is set to ON will be described below.

Here, first, the work distribution process in the case where the deferral flag is set to ON for the file process D will be described.

First, in step S21, the work weight for each work to be processed is calculated (see FIG. 11A). Next, in step S23, the work weight for each required work and the value of the processing capacity for each required work of each worker are multiplied to calculate the level of the equalized processing capability for each required work of each worker (Fig. 11 (b)
reference). In step S25, one working time unit is divided into time cell units. In the “time cell” column of FIG. 11C, a case is shown in which one working time unit from 9:00 to 17:00 is divided every 30 minutes set as a time cell unit.

Next, in step S27, among the required work, the work having the highest level of processing capacity is distributed to each worker. For example, the work requiring the highest level of processing capacity for the worker a is the maturity return process (full return process A). It is a maturity return process (full return process A).
When the work is distributed to other workers in the same way, 9
In the work distributed to the time cell from 9:30 pm, e is the maturity return process (full return process A), and b and f are the instruction confirmation B and d.
11 and g are application browsing C, c is file processing D, and FIG.
As shown in (c). Then, the process proceeds to step S29.

In the example of FIG. 11 (c), from 9:00 to 10
Since the expected work amount does not exceed the required work amount for any work required until 30 minutes, step S2
9, step S41, and step S43 are sequentially repeated. As a result, the work distribution shown in the row from 9:00 to 10:30 in FIG. 11C is obtained.

If it is determined in step S29 that the expected work amount of one of the required work items is equal to or more than the required work amount, the process proceeds to step S31 and the distribution time cell reduction process is performed. In the example of FIG. 11C, 10:30
In the time cell line from 11:00 to 11:00, the expected work amount (44) of the work of the application browsing C becomes equal to or more than the required work amount (40) as shown in the row of the application browsing C in FIG. 11D. Therefore, the highest level processing capacity (11.
The time cells of d with 6) will be reduced. After that, the process proceeds to step S33, but when the time cell of the worker d is reduced, the expected work amount of the distributed work (44-
6 = 38 (see FIG. 11A)) does not satisfy the required processing amount. Therefore, in step S35, the work of the application browsing C is again distributed to the worker d. Therefore, the work distribution in the time cell row from 10:30 to 11:00 is as shown in FIG.

Next, at step S41, since the expected work amount of all the required work is not equal to or more than the required work, the process proceeds to step S43. Step S43
Now, move to the next time cell row, and the workers a, b, c, e,
For f, the same work as in the previous time cell is distributed, and the workers d and g who have been allocated the application browsing C that is a distributed work
With respect to the above, the file processing D, which is the work having the highest level of uniform processing capacity among the required work other than the distributed work, is distributed. As shown in FIG. 11B, the worker d is 1
1.6, the worker g is 9.98, and the file processing D is the work having the highest level of processing ability among the required work other than the distributed work. Therefore, the work distribution in the time cell row from 11:00 to 11:30 is as shown in FIG. After this step S
Return to 29.

In the example of FIG. 11 (c), the expected work amount does not exceed the required work amount for any required work from 11:30 to 14:30, so here, step S29 and step S41. , And step S43 are repeated. Therefore, from 11:30 to 14
Regarding the work distribution up to: 30, the same work as the previous time cell is distributed, and from 11:30 to 14 in FIG. 11 (c).
The work distribution is as shown in the time cell row up to 30 minutes.

However, in the time cell row from 14:30 to 15:00, the expected work amount (100) of the work of the instruction confirmation B is the required work amount (100) as shown in the row of the instruction confirmation B of FIG. 11 (d). Because of the above, the process moves to step S31 after step S29. The time cell of the worker b having the highest level processing capacity (11.9 against f of 9.98) among the workers b and f performing the work of the instruction confirmation B in step S31 for other work to be processed. Will be reduced. After that, the process proceeds to step S33, but the expected work amount of the distributed work (100-6 = 94 (FIG.
(See (a)) does not satisfy the required work amount, the instruction confirmation B which is the original work is redistributed again for the reduced time cell after the process proceeds to step S35. As a result 14
FIG. 11 shows the time cell row from 30 minutes to 15:00.
As shown in (c).

After that, the process proceeds to step S41, but since the expected work amount of all the required work processes does not exceed the required work amount, the process goes to step S43. Step S43
At the next time cell row, workers a, c, d, e,
For g, the same work as in the previous time cell is distributed, and the workers b and f who have been allocated the work confirmation, that is, the instruction confirmation B
As for the work requiring the highest level of processing performance among the work requiring other than the distributed work, the worker b is subjected to the maturity return process (full return process A), and the worker f is subjected to the file process D.
Work is distributed. As shown in FIG. 11 (b), the worker b is at 11.9 and is in the maturity return process (full return process A).
This is because, in 9.98, the file process D is the work with the highest level of processing ability among the required work other than the distributed work. Therefore, the work distribution in the time cell row from 15:00 to 15:30 is as shown in FIG. 11 (c). After this, the process returns to step S29.

In the example of FIG. 11C, the expected work amount does not exceed the required work amount from 15:30 to 16:30, so here, the required work amount is not exceeded. , And step S43 are repeated. Therefore, from 15:30 to 16
Regarding the work distribution up to: 30, the same work as the previous time cell is distributed, and from 15:30 to 16 in FIG. 11 (c).
The work distribution is as shown in the time cell row up to 30 minutes.

Next, in the time cell row from 16:30 to 17:00, the expected work amount (2464) of the file process D is the required work amount (2400) as shown in the line of the file process D of FIG. 11D. Because of the above, the process moves to step S31 after step S29. In step S31, the workers c, d, who were working on the file processing D,
It is determined that there are two workers, c and d, having the highest level processing capacity (10.4 (see FIG. 11B)) for the other required work among f and g. Therefore, the worker c,
Low level processing capacity for distributed work among d (1 of d
The time cell of the worker c, which is 11) against 1.6, will be reduced. After that, the process proceeds to step S33, but the expected work amount of the distributed work (2464-66 = 239)
8 (see FIG. 11A)) does not satisfy the required work amount, the file process D, which is the original work for the reduced time cell, is again distributed to the worker c after the process proceeds to step S35. As a result, the time cell row from 16:30 to 17:00 is as shown in FIG. 11 (c). Then, the process proceeds to step S41.

In step S41, all the time cells within one work time unit (9 to 17:00) for which work distribution is requested are filled, and therefore, step S is performed via the terminal A.
45 (FIG. 8). In step S45, the distribution result at the time when all the time cells in one work time unit for which work distribution is requested is filled, for example, as shown in FIG.
The screens shown in (c) and (d) are displayed on the display device 5.

Next, in step S47, as shown in FIG.
According to the example shown in (d), the maturity return process (full return process A)
The expected amount of work (256) is the required amount of work (32
0) is not satisfied. Therefore, the process proceeds to step S49.
In step S49, maturity return processing (full return processing A)
Since the postponement flag is not set to ON for the above work, the process proceeds to step S51. In step S51, the user selects whether or not to perform the manual adjustment. Here, a case where the manual adjustment is performed will be described. Therefore, the process proceeds to step S53.

In step S53, the steps shown in FIGS.
Since the input screen as shown in is displayed on the display device 5, the user can perform the distribution adjustment by the input device 3. For example, in the case of the example of FIG. 11C, the user manually reduces the time cells of the workers to whom the work of the file prolongation flag is set to ON and reduces the time cells, and returns the maturity. The full refund processing A) can be distributed and the work distribution can be adjusted. After that, the process proceeds to step S54.
In this way, it is possible to distribute work using some human hands, and the processing flow is flexible.

Next, the work distribution process in the case where the postponement flag is turned on for the maturity return process (full return process A) will be described. Here, step S49
Up to (FIG. 8), since the work distribution process is the same as the case where the “deferrable flag is set to ON for the file process D” described above, only step S49 and subsequent steps will be described.

In step S49, in the example of FIG. 11C, the expected work amount (256) is the required work amount (32).
0) is not satisfied (see FIG. 11D), the procrastination possible flag of the maturity return process (full return process A) is set to ON, and thus the process proceeds to step S55.
In step S55, the postponed work amount (insufficient work amount) is acquired from the distribution result data storage unit 16. FIG. 11 (c)
In the above example, the procrastination work amount acquired as shown in the line of the maturity return process (full return process A) in FIG.

In the next step S57, whether or not to add the procrastination work amount to the next work time unit is determined by the user's advance setting or input at this time. In the example of FIG. 11C, since there is no next work time unit, the procrastination work amount is only notified to the user.
The user can perform the condition input process for the next day in consideration of the procrastination work amount. In this case as well, the deferred work amount (insufficient work amount) is stored in the distribution result data storage unit 16.

Next, the work distribution process using FIG. 8 will be described with reference to FIGS. 4, 12, and 13 in the case where there are two work time units.

First, in the example of FIG. 13, the condition input processing S
1 (FIG. 3), as shown in FIGS. 12 (a) and 12 (b), from 9:00 to 12:00 and from 13:00 to 1
At 7 o'clock, the time cell unit is 30 minutes, and at 9 o'clock to 12 o'clock the work time unit is the type of work that needs to be processed. Full-term return processing (full return processing A) and instruction confirmation B It is assumed that maturity return processing (full return processing A), application browsing C, and file processing D are set for the types of required work in a unit. The required amount of work to be processed is set to 150 and 100 for the maturity return process (full return process A) and the instruction confirmation B, which are the required work in the work time unit from 9:00 to 12:00, respectively. It is assumed that 170, 40, and 1800 are set for the maturity return process (full return process A), the application browsing C, and the file process D, which are required work in the work time unit from 17:00 to 17:00, respectively. The procrastination flag is set to ON for the maturity return process (full return process A) in the work time unit from 9:00 to 12:00, and to the file process D in the work time unit from 13:00 to 17:00. Be present. Further, in FIG. 12C, the target and priority of the work to be processed are input for the work time unit from 9:00 to 12:00. Here, since only two work operations are required, only the priorities (1) and (2) are input. Further, in FIG. 12D, the target and priority of the work to be processed are input for the work time unit from 13:00 to 17:00. Here too, the processing work is required. 3
The priority is set and input only for one work.

Next, in step S21 (FIG. 6), the work weight for each work to be processed is calculated (FIG. 13).
(See (a)). Next, in step S23, the work weight for each required work and the value of the processing capacity for each required work of each worker are multiplied to calculate the level of the equalized processing capability for each required work of each worker (Fig. 1
3 (b)). In step S25, one working time unit is divided into time cell units. In the example of FIG. 13C, the case where the work time units of 9:00 to 12:00 and 13:00 to 17:00, which are one work time unit, are divided every 30 minutes which is the set time cell unit is shown.

Next, in step S27, in the first time cell of the work time unit from 9:00 to 12:00, the work having the highest level of processing capacity among the work to be processed is distributed to each worker. For example, the maturity return processing (full return processing A), which is the work requiring the highest level of processing capacity for the worker a, is distributed to the time cell from the first 9:00 to 9:30 of the worker a. When the work is distributed to other workers in the same manner, the work allocated to the time cell from 9:00 to 9:30 is c, d, and e, and the maturity return process (full return process A).
Then, b, f and g become the instruction confirmation B, which is as shown in FIG. 13 (c).

In the example of FIG. 13C, since the expected work amount does not exceed the required work amount for any required work from 9:00 to 11:00, steps S29, S41 and S43 are repeated. . As a result, the work distribution is as shown in the row from 9:00 to 11:00 in FIG.

In the example of FIG. 13C, in the time cell row from 11:00 to 11:30, the expected work amount of the work of the maturity return process (full return process A) (136 (see FIG. 13D))
+ (7 + 7 (see FIG. 13A)) = 150) is equal to or more than the amount of work required to be processed (150), and there is a state in which there is another work to be processed. Therefore, among the workers a, c, d, and e who were performing the full-scale return process (full return process A), the time cell of the worker having the highest level processing capacity for the other required work is reduced. However, all the workers a, c, and d have the highest level processing capacity (10). In this case, the time cell of the worker having a low leveling capacity for the distributed work is reduced, and here again, both the workers c and d have a low leveling capacity (10.4
3). In such a rare case, either of the time cells of the workers c and d may be reduced. Here, it is assumed that the time cell of the worker c has been reduced, and the process proceeds to step S33. However, when the time cell of the worker c is reduced, the expected work amount of the distributed work (150-7 (see FIG.
(See (a)) = 143) does not satisfy the required processing amount.
Therefore, after that, the process proceeds to step S35.

In step S35, the work of the maturity return process (full return process A) is again distributed to the worker c. Therefore, the work distribution in the time cell row from 11:00 to 11:30 is the same as the previous time cell row. The distribution result up to this point is 9 as shown in FIG.
There is no change from the time until 11:30.

Next, in step S41, it is determined that the expected work amount of all the work to be processed has not reached the work amount to be processed, and the process proceeds to step S43. In step S43, the process moves to the next time cell row, and the workers b, f,
For g, the same work as in the previous time cell is allocated, and for workers a, c, d, and e who have been allocated the maturity return process (full refund process A), which is an allocated work, all of them are other than the allocated work. The instruction confirmation B, which is another work to be processed, is distributed. Therefore, the time cell row from 11:30 to 12:00 is as shown in FIG. After this, the process returns to step S29.

In step S29, the instruction confirmation B is still on.
Since the expected work amount (93 = 100 (see FIG. 13D)-(4 + 3 (see FIG. 13A))) does not satisfy the required work amount (100), the process proceeds to step S41. In step S41, all time cells within the work time unit for which work distribution is requested are filled,
The process proceeds to step S45 (FIG. 8) via the terminal A.

In step S45, the distribution result at the time when all the time cells in one work time unit for which work distribution is requested is filled up is shown in FIG. 14 and FIG. 13 (d).
The screen is displayed on the display device 5 as shown in FIG.

Next, in step S47, since the expected work amount of the work of the instruction confirmation B does not satisfy the required processing amount as described above, the process proceeds to step S49. Step S49
At, it is determined whether the postponement flag for the work of the instruction confirmation B is turned on. In this example, the postponement flag is not set to ON, so the process proceeds to step S51.

In step S51, the user selects whether or not to perform manual adjustment. Here, manual adjustment is selected and the process proceeds to step S53. Then, in step S53, the distribution is manually adjusted to increase the expected processing amount of the maturity return process (full return process A). Figure 1
In the example of No. 4, the expected work amount of the maturity return process (full return process A) (150 = 136 (see FIG. 13D)) + (7 + 7
(See FIG. 13A)) satisfies the required work amount (150), but the work can be postponed.

In step S53, as shown in FIG.
Since the input screen as shown in (d) is displayed on the display device 5, the user adjusts the distribution using the input device 3. Here, in the time cell row from 11:00 to 11:30, the user changes the work of the maturity return process (full maturity process A) that was distributed to the workers d and e to the instruction confirmation B, and as a result, returns to the maturity return. Expected work volume of processing (full return processing A) (136 = 150-
(7 + 7) (see FIG. 13D) is the required work amount (1
50) is not satisfied, but the expected work amount (100 = 93 + (4 + 3) (see FIG. 13D)) of the instruction confirmation B satisfies the required work amount (100). As a result, the distribution result as shown in FIG. 14C is obtained.
After that, the process proceeds to step S54, but the expected work amount (136) of the maturity return process (full return process A) is the required work amount (1
Since 50) is not satisfied, the process proceeds to step S55.

In step S55, the postponed work amount (insufficient work amount) is acquired from the distribution result data storage unit 16.
Here, as shown in the row of the maturity return process (full return process A) in FIG. 13D, the procrastination work amount acquired from the distribution result data storage unit 16 is 14. After that, step S57
Move to.

In step S57, whether or not to add the procrastination work amount to the next work time unit is determined by a prior input or a user's selection input at this time. Here, it is assumed that the deferred work amount is added to the next work time unit, and the process proceeds to step S59.

In step S59, in this example, as shown in FIG.
Since there is the next work time unit as shown in step S
Proceeding to 61, the postponement amount (14) of the work of the maturity return process (full return process A) acquired in step S55 is added to the required work amount of the maturity return process (full return process A) in the next work time unit. To do. Therefore, the condition input processing step S14
The required processing amount of the maturity return processing (full return processing A) set and input in (FIG. 3) is as shown in FIGS.
(See FIG. 12B) + 14 = 184). After that, the process returns to step S27 of FIG. 6 through the terminal B, and the work distribution process for the next work time unit is performed.

Next, in step S27, in the first time cell row of the work time unit from 13:00 to 17:00, the work having the highest level of processing capacity among the work to be processed is distributed to each worker. For example, for the worker a, the maturity return process (full return process A), which is a required work having the highest level of processing ability, is distributed to the time cells from the first 13:00 to 13:30. When the work is distributed to other workers in the same manner, the work allocated to the time cell from 13:00 to 13:30 is b and e are maturity return processing (full return processing A), and d and g are Application browsing C, c, f becomes file processing D, as shown in FIG. 13 (c).

In the example of FIG. 13 (c), the expected work amount does not exceed the required work amount for any required work from 13:00 to 14:30, and therefore, in step S29,
Steps S41 and S43 are repeated. As a result, the work distribution shown in the row from 13:00 to 14:30 in FIG. 13C is obtained.

In the example of FIG. 13 (c), in the time cell row from 14:30 to 15:00, the expected work amount (44) of the work of application browsing C is the required work as shown in FIG. 13 (e). Since the quantity is (40) or more and there is another work to be performed, the highest level processing capability (for g of 9.98) for the other work to be performed among the workers d and g who were performing the application browsing C work. On the other hand, the time cell of the worker d having 11.6 (see FIG. 13B) will be reduced. After that, the process proceeds to step S33, but when the time cell of the worker d is reduced, the expected work amount of the distributed work (44-6 (see FIG. 13A) = 38) does not satisfy the required processing amount. Therefore, after that, the process proceeds to step S35.

In step S35, in the example of FIG. 13C, the work of the application browsing C is again distributed to the worker d. Therefore, the work distribution in the time cell row from 14:30 to 15:00 is the same as that in the previous time cell row.

Next, in step S41, since the expected work amount of all the required work is not equal to or more than the required work, the process proceeds to step S43. Step S43
Now, move to the next time cell row, and the workers a, b, c, e,
For f, the same work as in the previous time cell is distributed, and the work d of the application browsing C in which the expected work volume is equal to or more than the required work volume is distributed.
1.6, the worker g is 9.98, and the file processing D having the highest level of processing capacity among the other required processing operations is distributed. Therefore, the time cell row from 15:00 to 15:30 is as shown in FIG. After this, the process returns to step S29.

In this example, since the expected work amount of any work required does not satisfy the work required during 15:30 to 16:30, steps S29, S41 and S43 are repeated. As a result, FIG. 13 (c)
The work distribution will be as shown in the line from 15:30 to 16:30.

In the example of FIG. 13C, the expected work amount (192 = 184 + 8 (FIG. 13A) in the maturity return process (full return process A)) in the time cell row from 16:30 to 17:00.
(See)) is equal to or more than the required work amount (184). Therefore, after step S29, the process proceeds to step S31.

In step S31, the highest level processing capacity (a. 9.
Therefore, the time cell of the worker b having 9.98 (refer to FIG. 13B) is reduced compared to 8.31 of 14 and e. After that, the process proceeds to step S33, but even when the time cell of the worker b is reduced, the expected work amount of the distributed work (184 = 192-8 (see FIG. 13A)) becomes the required processing amount or more. Therefore, in this case, the process proceeds to step S37.

At step S37, the file process D is allocated to the time cells reduced by the worker b because there is only the file process D as the other process task. After this, the process proceeds to step S39, but the expected amount of work in the maturity return process (full return process A) (184 = 192−).
8 (see FIG. 13A)) is the amount of work required to be processed (184)
Therefore, the process moves to step S41.

At step S41, since all the time cells within the work time unit for which work distribution is requested are filled, the process goes to step S45 (FIG. 8) via the terminal A. In step S45, the distribution result at the time when all the time cells in one work time unit for which work distribution is requested is filled in, for example, on the screens shown in FIGS. 13C, 13D, and 13E. It is displayed on the display device 5.

Next, in step S47, as shown in FIG. 13 (e), all the time cells within the working time unit (13:00 to 17:00) are filled in the example of FIG. 13 (c). Expected work volume of file processing D (158
Since 8) does not satisfy the required work amount (1800), the process proceeds to step S49, and it is determined whether the postponement flag of the unfinished distribution work is set to ON. In the example of FIG. 13C, the postponement flag of the work of the file process D is set to ON, and thus the process proceeds to step S55.

In step S55, the postponed work amount (insufficient work amount) is acquired from the distribution result data storage unit 16.
Here, the procrastination work amount acquired from the distribution result data is 21 as shown in the line of file processing D of FIG.
It becomes 2. After that, the process proceeds to step S57, but there is no next work time unit, and the process is finished for all work time units, so the work distribution process is finished. As described above, since the work of each worker is appropriately and almost automatically distributed to each time cell, the work time of the work distribution manager can be significantly reduced. Since the work is distributed so that the work time is shortened as much as possible, the labor cost can be reduced.

Although one embodiment of the present invention has been described above, the present invention is not limited to this. For example, the functional block division shown in FIG. 1 is an example, and the module can be configured by another division. Further, in the condition input process, the order from step S13 to step S15 may be arbitrarily changed. Further, in the work distribution process, the steps S25 to S21 are performed.
May be performed before.

[0121]

As described above, in the case where a plurality of types of work are performed by a plurality of workers, an information processing technique is provided for distributing the work in consideration of variations in the capabilities of the respective workers. I was able to.

Further, in the case of performing work distribution, it was also possible to provide an information processing technique for performing work distribution in consideration of individual ability and shortening work time.

Furthermore, it was possible to provide an information processing technique for evaluating the processing result which is the result according to the work distribution. .

[Brief description of drawings]

FIG. 1 is a functional block diagram of a work distribution processing system.

FIG. 2 is a diagram showing a flow of work distribution processing system processing.

FIG. 3 is a diagram showing a flow of condition input processing.

FIG. 4 is a diagram showing a setting pattern of one working time unit.

FIG. 5 is a diagram showing the contents (1) displayed on the display device 5 in the condition input process.

FIG. 6 is a diagram showing a flow of work distribution processing.

FIG. 7 is a diagram showing a first example when work distribution is performed based on a flow of work distribution processing.

8 is a diagram showing a continuation of the flow of the work distribution process of FIG.

FIG. 9 is a diagram showing a flow of a business process performance evaluation process.

FIG. 10 is a diagram showing the contents displayed on the display device 5 in the business process performance evaluation process.

FIG. 11 is a diagram showing a second example when work distribution is performed based on the flow of work distribution processing.

FIG. 12 is a diagram showing contents (No. 2) displayed on the display device 5 in the condition input process.

FIG. 13 is a diagram showing a third example when work distribution is performed based on the flow of work distribution processing.

FIG. 14 is a diagram showing a third example (supplement) when work distribution is performed based on the flow of work distribution processing.

[Explanation of symbols]

1 Work distribution processing system 3 Input device 5 Display device 11 Condition input processing unit 12 Work distribution processing unit 13 Business processing performance evaluation unit 14 Condition input data storage unit 15 Leveling processing capacity data storage unit 16 Distribution result data storage unit 17 Actual data storage Department

   ─────────────────────────────────────────────────── ─── Continued front page    (72) Inventor Tomomi Kikuchi             1-2-1, Marunouchi, Chiyoda-ku, Tokyo East             Kyokai Fire Insurance Co., Ltd. F-term (reference) 3C100 AA05 AA06 AA22 AA38 BB03                       BB14 BB15 BB17

Claims (14)

[Claims] 1. A work distribution method when a plurality of types of work are carried out by a plurality of workers, the work expressing the processing difficulty of each work using past work processing capacity data of the plurality of workers. Calculating a weight and storing it in a storage device; calculating a level processing capacity for each work of each worker using the work weight and the work processing capacity data of each worker, and storing it in the storage device And a step of allocating one or more required work to each of the workers based on the level processing capacity and storing the distribution result in a storage device. 2. The allocating step is required for each worker based on the level processing capacity for each time cell generated by dividing a time zone in which work allocation is required into predetermined time units. The work distribution method according to claim 1, which is a step of distributing processing work. 3. The allocating step is a step of allocating, for each worker, a work having the highest level of processing ability among the required work to the respective time cells of the worker. The work distribution method according to claim 2. 4. When the expected work amount exceeds the required work amount for any one of the required work works, the allocating step requires another worker to at least one of the workers to whom the required work work is distributed. 4. The work distribution method according to claim 1, further comprising a second distribution step of distributing the processing work. 5. In the second allocation step, at the time of the reallocation, based on the leveled processing capacity of each worker to whom the required work amount in which the expected work amount exceeds the required work amount is distributed. The work distribution method according to claim 4, wherein the work is distributed so that the other required work is completed earliest. 6. In the second allocation step, at least one of the workers to whom the required work amount whose expected work amount exceeds the required work amount has been distributed among the other required work items. The work distribution method according to claim 4, wherein the work having the highest level of processing capacity is distributed to the workers. 7. In the second allocation step, a plurality of workers who have been allocated a distributed work, which is a required work for which the estimated work amount exceeds the required work amount, are assigned to the other required work. Among the plurality of workers having the same highest level processing capacity among the plurality of workers having the same highest level processing capacity, among the workers having the lowest processing capacity value of the distributed work, 7. The work distribution method according to claim 5, wherein the work having the highest level of processing capacity among the work to be processed is distributed to the worker. 8. In the second allocation step, when there is no other work to be processed, the estimated work amount exceeds the work required work amount, and the value of the processing capacity of the work required is the lowest. 8. The work distribution method according to claim 5, wherein the distribution of the processing work is stopped. 9. A process-required work whose expected work amount is less than the process-required work amount for each work time unit for which work distribution is requested, even though the distribution of the process-required work to each worker has been completed. 9. The work allocation method according to claim 1, further comprising a step of confirming whether or not the required work for which the expected work amount is less than the required work amount is set to be postponed. . 10. The work distribution according to claim 9, further comprising a step of acquiring an insufficient work amount when it is set that the work to be processed whose expected work amount is less than the work amount to be processed can be postponed. Method. 11. In the allocation step or the second allocation step, when there are a plurality of work items having the highest level of processing ability among the required work tasks for the same worker, the worker has the highest level of processing ability. The work distribution method according to claim 3 or 6, wherein the work is distributed based on a high priority and a preset priority. 12. An input of information relating to the actual work amount of each work and time spent therefor by each worker is accepted, and a level work amount for each work of each worker is calculated using past work weights. The work distribution method according to claim 1, further comprising a step. 13. A program for causing a computer to execute the work distribution method according to claim 1. Description: 14. A work distribution device when a plurality of types of work are performed by a plurality of workers, the work expressing the processing difficulty of each work by using past work processing capacity data of the plurality of workers. A means for calculating a weight and storing it in a storage device, and calculating a level processing capacity for each work of each worker using the work weight and the work processing capacity data of each worker, and storing it in the storage device. And a distribution unit for distributing one or more required work to each of the workers based on the leveled processing capacity and storing the distribution result in a storage device.