WO2023242942A1

WO2023242942A1 - Schedule execution assistance device, method, and program

Info

Publication number: WO2023242942A1
Application number: PCT/JP2022/023748
Authority: WO
Inventors: 寛吉田; 朋子柴田; 昌史坂本; 諭高津
Original assignee: 日本電信電話株式会社
Priority date: 2022-06-14
Filing date: 2022-06-14
Publication date: 2023-12-21

Abstract

In one aspect of this invention, a first evaluation value representing a degree of dispersion of required work time based on past work results of multiple personnel is calculated for each of the multiple tasks that make up a schedule, a second evaluation value representing a degree of dispersion of predicted values of required work time among the multiple personnel is calculated for each of the multiple tasks, and a degree of response to remuneration is estimated for each of the multiple tasks on the basis of the calculated first and second evaluation values. The result of estimating the degree of response is used to generate information indicating a priority level of remuneration for multiple target tasks constituting a critical path identified from the schedule, and output assistance information including information representing the generated priority level.

Description

Schedule execution support device, method and program

One aspect of the present invention relates to a schedule execution support device, method, and program that support the execution of schedules used, for example, in the development process of products and systems.

In recent years, scheduling technology used in the development process of products and systems has attracted attention. For example, Patent Document 1 states that in the development process of a network management system, etc., how to allocate multiple personnel to multiple tasks with prior constraints is determined by considering the content of each task and the difference in ability of each person. A technique for scheduling is described. By using this technology, it is expected that the entire development process period and the number of workers will be minimized.

Japanese Patent Application Publication No. 2017-211921

However, since the scheduling technology described in Patent Document 1 creates a schedule in a fixed and deterministic manner before the development work, for example, a work delay may occur in one of the tasks while the schedule is being executed. Even if we try to absorb the impact of this in the operations on the critical path, it is not easy to deal with it.

This invention was made in view of the above circumstances, and aims to provide a technology that enables adaptive and effective shortening of the process period when it becomes necessary to shorten the process period during schedule execution. It is something to do.

In order to solve the above problems, one aspect of the schedule execution support device or support method according to the present invention provides a degree of dispersion of required work times based on past work results of a plurality of personnel for each of a plurality of tasks constituting a schedule. At the same time, for each of the plurality of tasks, calculate a second evaluation value representing the degree of dispersion of the predicted value of the work required time among the plurality of personnel, and Based on the first evaluation value and the second evaluation value, the degree of reaction to remuneration is estimated for each of the plurality of tasks. Then, based on the estimation result of the degree of reaction, information representing the priority level of remuneration for the plurality of target operations constituting the critical path identified from the schedule is generated, and information representing the generated priority level is included. It is designed to output support information.

According to one aspect of the present invention, for example, when it is necessary to shorten the time required for a target task on the critical path, priority is given to the task that is highly responsive to rewards among the target tasks on the critical path. It will be possible to give rewards accordingly. As a result, it is possible to effectively shorten the time required for the target operations on the critical path, and thereby, for example, without having to allocate additional personnel, or with the additional allocation being kept to a minimum, the entire schedule can be reduced. It is possible to shorten the time required for this work. Furthermore, the effect of reducing work time relative to the amount of remuneration can be increased.

That is, according to one aspect of the present invention, it is possible to provide a technique that allows the process period to be shortened adaptively and effectively when it becomes necessary to shorten the process period during execution of a schedule.

FIG. 1 is a block diagram showing an example of the hardware configuration of a schedule execution support device according to an embodiment of the present invention. FIG. 2 is a block diagram showing an example of the software configuration of a schedule execution support device according to an embodiment of the present invention. FIG. 3 is a flowchart showing an example of the processing procedure and processing contents of the schedule execution support process executed by the control unit of the schedule execution support apparatus shown in FIG. FIG. 4 is a diagram illustrating an example of the dispersion of the required time of workers in tasks with small dispersion. FIG. 5 is a diagram illustrating an example of the variance of the required time of workers in tasks with large variance. FIG. 6 is a diagram illustrating an example of a required time volatility coefficient representing how much the required time varies for each job (standard deviation of rate of change). FIG. 7 is a diagram showing an example of a critical path extracted from work assignment information. FIG. 8 is a diagram showing an example of the required time volatility coefficient, work commodity coefficient, and reward reaction coefficient calculated for each work on the critical path shown in FIG. 7.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.

[One embodiment]
(overview)
In one embodiment of the present invention, for example, when a work delay occurs in one of the operations (also referred to as a task) during the execution of a schedule, it is necessary to absorb the influence by shortening the work time of the operations on the critical path. If this occurs, the workers assigned to the above tasks will be compensated.

In doing so, it is important to note that tasks that involve a high proportion of human work are more sensitive to remuneration, and that tasks that involve a large proportion of human work have a large dispersion in the expected time required for worker management skills for each task, and Focusing on the fact that there is a large discrepancy between the actual time required, the degree of response to compensation for each task is estimated. Specifically, for each task, an evaluation value of the degree of dispersion of the required time based on the past work performance of workers and an evaluation value of the degree of dispersion of the predicted time required among workers are calculated, and each of the obtained values is calculated. The degree of response to compensation is calculated for each task based on the evaluation value. Then, based on the above calculation results, information representing the priority level of remuneration for each task on the critical path is generated, and this information is output to, for example, the administrator.

By doing this, for example, if it is necessary to shorten the work time of tasks on the critical path, rewards will be given preferentially to tasks that are highly responsive to rewards among the tasks on the critical path. It becomes possible to do so. As a result, the work time for tasks on the critical path can be effectively shortened, and for example, the work time for the entire process can be shortened without the need to allocate additional personnel or by keeping it to a minimum. becomes possible. Furthermore, the effect of reducing work time relative to the amount of remuneration can be increased.

(Configuration example)
FIGS. 1 and 2 are block diagrams showing an example of the hardware configuration and software configuration of a schedule execution support device, respectively, according to an embodiment of the present invention.

The schedule execution support device SV is, for example, a personal computer used by an administrator who manages schedules related to system development or product development. Note that the schedule execution support device SV is not limited to a personal computer, but may be a server computer located on a local network such as a LAN (Local Area Network), on the Web, or on a cloud.

The schedule execution support device SV includes a control unit 1 using a hardware processor such as a central processing unit (CPU), and a storage unit including a program storage unit 2 and a data storage unit 3 for the control unit 1. The unit and an input/output interface (hereinafter referred to as I/F) section 4 are connected via a bus 5.

An input device 51 and an output device 52 are connected to the input/output I/F section 4. The input device 51 includes, for example, a keyboard, a mouse, and operation buttons. The input device 51 is used by the administrator to input various information necessary for receiving support regarding execution of the development schedule to be managed.

The output device 52 includes, for example, a display, and is used to display various information input by the administrator and support information generated by the control unit 1. Note that the output device 52 may include a printer, an external storage medium, and the like.

Note that the input/output I/F unit 4 may be equipped with a communication interface function for transmitting and receiving information data to and from other information processing devices such as terminal devices and server devices via a network.

The program storage unit 2 is configured by combining, for example, a non-volatile memory such as an SSD (Solid State Drive) that can be written to and read from at any time as a storage medium, and a non-volatile memory such as a ROM (Read Only Memory). In addition to middleware such as an OS (Operating System), application programs necessary for executing various control processes according to one embodiment are stored. Note that hereinafter, the OS and each application program will be collectively referred to as a program.

The data storage unit 3 is, for example, a combination of a non-volatile memory such as an SSD that can be written to and read from at any time as a storage medium, and a volatile memory such as a RAM (Random Access Memory), and is an embodiment of the present invention. As the main storage units necessary for implementing the above, a prediction information storage unit 31, a performance information storage unit 32, a reward reaction coefficient storage unit 33, a work assignment information storage unit 34, and a critical path information storage unit 35 are used. We are prepared.

The predicted information storage unit 31 is used to store the input predicted values of the required time for each task for each worker. The performance information storage unit 32 is used to store input performance values of the required time for each task for each worker. The reward reaction coefficient storage unit 33 is used to store the reward reaction coefficient for each job, which is calculated by the control unit 1. The task assignment information storage unit 34 is used to store input task assignment information in the development schedule. The critical path information storage unit 35 is used to store information generated by the control unit 1 and representing the critical path in the development schedule.

The control unit 1 includes a prediction information acquisition processing unit 11, a business commodity coefficient calculation processing unit 12, a performance information acquisition processing unit 13, and a required time volatility coefficient calculation processing unit 11 as processing functions used to implement an embodiment of the present invention. A calculation processing unit 14, a reward reaction coefficient calculation processing unit 15, a task assignment information acquisition processing unit 16, a critical path information generation processing unit 17, an additional reward priority list generation processing unit 18, and a support information output processing unit 19. Equipped with

These processing units 11 to 19 are all realized by causing the hardware processor of the control unit 1 to execute an application program stored in the program storage unit 2.

Note that a part or all of the processing units 11 to 19 may be realized using hardware such as LSI (Large Scale Integration) or ASIC (Application Specific Integrated Circuit).

The prediction information acquisition processing unit 11 acquires, via the input/output I/F unit 4, a prediction table of the time required for each task for each worker input by the administrator through the input device 6, and uses the acquired prediction table to predict the time required for each task. The information is stored in the information storage section 31. The above table for predicting the time required for each task for each worker is a table showing the predicted time required for each task, set by the administrator based on the skills and past performance of each worker. .

The business commodity coefficient calculation processing unit 12 calculates the business commodity coefficient based on the prediction table of required time for each job for each worker stored in the prediction information storage unit 31. The work commodity coefficient is calculated by calculating the variance of the predicted time required for each job for each worker for all jobs, and then calculating the deviation value for each job based on the calculated variance.

The performance information acquisition processing unit 13 acquires the past required time performance table for each task for each worker inputted by the administrator through the input device 6 via the input/output I/F unit 4, and uses the acquired performance table. is stored in the performance information storage section 32. The above-mentioned table of results of required time for each task for each worker is a table showing the actual values of the work time for each task for each worker based on the execution results of past work schedules.

The required time volatility coefficient calculation processing unit 14 calculates the required time volatility coefficient for each job based on the required time performance table for each job of each worker stored in the performance information storage unit 32. The required time volatility coefficient is calculated by calculating the variance value of the actual measured value of the required time for each job for each worker for all jobs, and then calculating the deviation value for each job based on the calculated variance value.

The remuneration reaction coefficient calculation processing unit 15 calculates, for each job, the business commodity coefficient calculated by the business commodity coefficient calculation processing unit 12 and the required time volatility coefficient calculated by the time required volatility coefficient calculation processing unit 14. Take the average value of , and use that average value as the remuneration response coefficient for each task. Then, this reward reaction coefficient is stored in the reward reaction coefficient storage unit 33 in association with the identification information of the job.

The business assignment information acquisition processing unit 16 acquires the business assignment information input by the administrator using the input device 6 via the input/output I/F unit 4, and stores the acquired business assignment information in the business assignment information storage unit 34. do. The task assignment information is information representing the result of worker assignment to each task when the management schedule is created.

The critical path information generation processing unit 17 identifies a critical path from the business assignment information stored in the business assignment information storage unit 34 and stores information representing the identified critical path in the critical path information storage unit 35.

The additional reward priority list generation processing unit 18 reads the reward reaction coefficients from the reward reaction coefficient storage unit 33 for each job constituting the critical path stored in the critical path information storage unit 35, and uses the read reward reaction coefficients. An additional reward priority list is generated by sorting the tasks that make up the critical path in descending order of their values.

The support information output processing unit 19 generates support information including the additional remuneration priority list generated by the additional remuneration priority list generation processing unit 18, and outputs the generated support information from the input/output I/F unit 4 to an output device. Output to 7.

(Operation example)
Next, an example of the operation of the schedule execution support device SV configured as described above will be explained.
FIG. 3 is a flowchart showing an example of the processing procedure and processing contents of the support processing executed by the control unit 1 of the schedule execution support device SV.

(1) Acquisition of forecast information For example, before executing a development schedule, the administrator uses the skills and past performance of each worker as a reference to estimate the estimated time required for each task that makes up the development schedule. seek. Then, following the input request, a worker task-specific time required prediction table representing the results is inputted from the input device 6.

On the other hand, the control unit 1 of the schedule execution support device SV monitors the input request for prediction information in step S10 in the standby state. In this state, when the input request is input from the input device 6, under the control of the prediction information acquisition processing unit 11, in step S11, the time required prediction table for each worker job is sent to the input/output I/F unit 4. The acquired time-required-time prediction table for each worker job is stored in the prediction information storage unit 31.

Note that the above-mentioned processing for obtaining the time required prediction table for each worker job is performed by downloading, for example, a time required prediction table for each worker job stored in advance in a schedule execution server (not shown), etc. via a network. It's okay to be hurt.

(2) Acquisition of performance information For each of the tasks that make up the above development schedule, the administrator collected the actual values of the work time required for each task for each worker based on the execution results of past work schedules. Following the input request, a table representing the actual values of the required time for each task of the worker is inputted from the input device 6.

On the other hand, the control unit 1 of the schedule execution support device SV monitors the input request for performance information in step S12 in the standby state. In this state, when the input request is input from the input device 6, under the control of the performance information acquisition processing unit 13, in step S14, the time required performance table for each worker job is sent to the input/output I/F unit 4. The obtained time required time record table for each worker job is stored in the record information storage unit 32.

Note that the acquisition process of the time required record table for each worker job may also be performed by downloading it via a network such as a schedule execution server.

(3) Acquisition of task assignment information In addition, the administrator sends information indicating the assignment of workers to each task set in the development schedule to be executed from now on, that is, task assignment information, from the input device 6 along with the input request. input.

On the other hand, the control unit 1 of the schedule execution support device SV monitors the input request for the task assignment in step S15 in the standby state. In this state, when the input request is input from the input device 6, the task assignment information is acquired via the input/output I/F section 4 in step S15 under the control of the task assignment information acquisition processing section 16. , the obtained task assignment information is stored in the task assignment information storage section 34.

(4) Generating and outputting additional compensation priority list During execution of the above development schedule, for example, if a work delay occurs in a certain task, and it becomes necessary to absorb this work delay by shortening the work time of the task on the critical path. do. In this case, the administrator uses the input device 6 to input a support request for receiving support for shortening the time of the development schedule process.

On the other hand, the control unit 1 of the schedule execution support device SV monitors the input of the support request in step S16 in the standby state, and if the support request is input in this state, the time reduction of the process is performed. The support processing for this is executed as follows.

(4-1) Calculation of Work Commodity Coefficients In the control unit 1 of the schedule execution support device SV, the work commodity coefficient calculation processing unit 12 first reads the task-specific time required prediction table for each worker from the prediction information storage unit 31. Then, the task commodity coefficient for each task is calculated based on the read time prediction table for each task for each worker. This work commodity coefficient is calculated by calculating the variance of the predicted time required for each job for each worker for all jobs, and then calculating the deviation value for each job based on the calculated variance. be exposed.

(4-2) Calculation of Required Time Volatility Coefficient Next, the control unit 1 of the schedule execution support device SV uses the required time volatility coefficient calculation processing unit 14 to retrieve the required time performance record for each task from the performance information storage unit 32. Load. Then, the volatility coefficient of the required time for each task is calculated based on the read table of required time results for each task for each worker. This required time volatility coefficient is calculated by calculating the variance value of the actual value of the required time for each job for each worker for all jobs, and then calculating the deviation value for each job based on the calculated variance value. It will be done.

The standard deviation of the time required for each task is the positive value obtained by summing the squared difference between the value of the time required as the target data and its average, and then dividing it by the total number of target data. It can be calculated as the square root of

For example, as shown in FIG. 4, in task A where the variance of the required work time of workers is small, the standard deviation (σ) is a small value of 7.5 minutes. On the other hand, as shown in FIG. 5, in task A in which the variance of the required work time of workers is large, the standard deviation (σ) is a large value of 17.1 minutes. The relationship between the standard deviation calculated for each task and the frequency is shown in FIG. 6, for example, and from this, the deviation value, that is, the required time volatility coefficient, for each of tasks A and B can be determined. In the example of FIG. 6, the deviation value (required time volatility coefficient) of job A is "30", and the deviation value (required time volatility coefficient) of job B is "70".

(4-3) Calculation of reward reaction coefficient Next, in step S17, the control unit 1 of the schedule execution support device SV calculates the above-mentioned business commodity coefficient calculation processing unit for each job under the control of the reward reaction coefficient calculation processing unit 15. 12 and the required time volatility coefficient calculated by the required time volatility coefficient calculation processing section 14. Then, the reward reaction coefficient calculation processing unit 15 stores the calculated average value in the reward reaction coefficient storage unit 33 as the reward reaction coefficient for each task.

(4-4) Generation of critical path information Next, in step S18, the control unit 1 of the schedule execution support device SV generates job assignment information from the job assignment information storage unit 34 under the control of the critical path information generation processing unit 17. Read and identify the critical path based on this task assignment information. Then, the critical path information generation processing unit 17 stores information representing the identified critical path in the critical path information storage unit 35.

FIG. 7 shows an example of the identified critical path. In this example, the critical path CP is expressed as process route information indicating that the processes of job A, job B, job D, and job F are executed in order. On the other hand, FIG. 8 shows an example of the required time volatility coefficient, the business commodity coefficient, and the reward reaction coefficient calculated for each of the jobs A, B, D, and F on the critical path CP.

(4-5) Generation of additional reward priority list Next, in step S19, the control unit 1 of the schedule execution support device SV selects the critical path information from the critical path information storage unit 35 under the control of the additional reward priority list generation processing unit 18. Load path information. Then, the additional reward priority list generation processing unit 18 reads the reward reaction coefficients from the reward reaction coefficient storage unit 33 for each of the jobs A, B, D, and F that constitute the read critical path. Then, by rearranging the tasks A, B, D, and F on the critical path CP in descending order of the reward reaction coefficient, an additional reward priority list is generated.

(4-6) Output of support information Finally, in step S20, the control unit 1 of the schedule execution support device SV outputs the information generated by the additional reward priority list generation processing unit 18 under the control of the support information output processing unit 19. In addition to the additional reward priority list, support information including, for example, a corresponding message based on the above list is generated. Then, the generated support information is outputted from the input/output I/F section 4 to the output device 7.

As a result, the above support information is displayed on the output device 7. Note that the support information may be printed out on the output device 7, or may be displayed or printed out on another terminal after being stored in a storage medium.

Based on the presented support information, the manager recognizes the task with the highest reward response coefficient among the tasks A, B, D, and F on the critical path CP. Then, additional compensation is given to the worker who is in charge of this work.

The recipients of additional compensation are not limited to the worker who is in charge of the task with the highest reward response coefficient, but are also given to all workers who are in charge of tasks A, B, D, and F on the critical path CP. A plurality of workers may be selected from among them. Additionally, when granting additional remuneration to multiple workers in this way, for example, according to the additional remuneration priority list, the remuneration amount may be differentiated so that workers in charge of tasks with higher priority receive higher remuneration. It may be given. By doing so, it is possible to obtain a high time-saving effect while suppressing the total amount of additional reward to be given. In addition to cash, the types of remuneration are assumed to include virtual currency, points, products, personnel evaluation values, etc., and can be arbitrarily set depending on the type of work, employment form and status of the worker, etc.

(action/effect)
As described above, in one embodiment, the predicted value of the required time for each task for each worker and the actual value of the required time for each task for each worker based on past schedule execution results are acquired, and the Obtain work assignment information corresponding to the development schedule. In this state, for example, if work delays occur and it becomes necessary to shorten the work time for a task on the critical path, the predicted value of the time required for each worker task and the actual value of the time required for each worker task mentioned above. Based on this, the work commodity coefficient and the required time volatility coefficient, which represent the degree of variation in the time required for workers in each job, are calculated, and the remuneration response coefficient for each job is calculated based on the calculated coefficients. Then, an additional reward priority list is generated in which each task on the critical path identified from the task assignment information is arranged in descending order of the reward reaction coefficient, and support information including this list is output.

Therefore, among the tasks on the critical path, tasks that are sensitive to remuneration are estimated, and an additional remuneration priority list is output in which the estimated tasks are given a high priority for remuneration. Therefore, the administrator can determine which task should be rewarded among the tasks on the critical path according to the above list, and can award the reward. Therefore, it is possible to effectively shorten the work time for tasks on the critical path, for example, without allocating additional personnel or minimizing the work time for the entire schedule process. It becomes possible to shorten the length.

Further, in one embodiment, when it becomes necessary to shorten the work time of a job, the required time volatility coefficient, job commodity coefficient, and reward response are calculated only for each job on the critical path identified from the job assignment information. A series of processing is performed to calculate the coefficients. Therefore, the processing load on the control unit 1 can be reduced compared to the case where the required time volatility coefficient, work commodity coefficient, and reward allocation coefficient are calculated for all the work on the development schedule.

[Other embodiments]
(1) In one embodiment, an example has been described in which a single personal computer executes all processes by the processing units 11 to 19 included in the control unit 1 of the schedule execution support device SV. However, the present invention is not limited thereto, and the processing by each of the processing units 11 to 19 may be distributed and executed by a plurality of information processing devices such as a personal computer or a server.

(2) In one embodiment, prediction information, performance information, and task assignment information are acquired in advance and stored in the

storage units

31, 32, and 34, respectively. However, only the necessary information may be acquired from the schedule execution server or the like when it becomes necessary to provide additional remuneration. In this way, it becomes possible to save the storage capacity of the storage unit 3 of the schedule execution support device SV.

(3) In addition, the configuration and processing functions, processing procedures and processing contents, structure of support information, types of rewards, etc. of the schedule execution support device can be modified in various ways without departing from the gist of this invention.

Although the embodiments of the present invention have been described above in detail, the above description is merely an illustration of the present invention in all respects. It goes without saying that various improvements and modifications can be made without departing from the scope of the invention. That is, in implementing the present invention, specific configurations depending on the embodiments may be adopted as appropriate.

In short, the present invention is not limited to the above-described embodiments as they are, but can be embodied by modifying the constituent elements at the implementation stage without departing from the spirit of the invention. Moreover, various inventions can be formed by appropriately combining the plurality of components disclosed in the above embodiments. For example, some components may be deleted from all the components shown in the embodiments. Furthermore, components from different embodiments may be combined as appropriate.

SV... Schedule execution support device 1... Control unit 2... Program storage unit 3... Data storage unit 4... Input/output I/F unit 5... Bus 6... Input device 7... Output device 11... Prediction information acquisition processing unit 12... Business commodity Coefficient calculation processing unit 13... Actual information acquisition processing unit 14... Required time volatility coefficient calculation processing unit 15... Reward reaction coefficient calculation processing unit 16... Work assignment information acquisition processing unit 17... Critical path information generation processing unit 18... Additional reward priority list Generation processing section 19... Support information output processing section 31... Prediction information storage section 32... Performance information storage section 33... Reward reaction coefficient storage section 34... Task assignment information storage section 35... Critical path information storage section

Claims

A schedule execution support device that supports execution of a schedule for assigning personnel to multiple tasks and executing predetermined processes, the device comprising:
a first processing unit that calculates, for each of the plurality of tasks, a first evaluation value representing a degree of dispersion of work required time based on past work results of a plurality of personnel;
a second processing unit that calculates, for each of the plurality of tasks, a second evaluation value representing a degree of dispersion of predicted values of work required times among the plurality of personnel;
a third processing unit that estimates a degree of reaction to remuneration for each of the plurality of tasks based on the first evaluation value and the second evaluation value;
a fourth processing unit that identifies, from the schedule, a critical path that determines the overall work time;
a fifth step of generating information representing a priority degree of remuneration for a plurality of target tasks constituting the critical path based on the estimation result of the reaction degree, and outputting support information including information representing the generated priority degree; A schedule execution support device comprising: a processing unit;
For each of the plurality of tasks, the first processing unit calculates the required work time among the plurality of tasks based on the degree of dispersion of the required work time based on past work results of a plurality of personnel. The schedule execution support device according to claim 1, wherein a required time volatility coefficient representing a standard deviation of a rate of change is calculated as the first evaluation value.
The second processing unit predicts the required work time among the plurality of jobs based on the degree of dispersion of predicted values of the required work time among the plurality of personnel for each of the plurality of jobs. The schedule execution support device according to claim 1, wherein a business commodity coefficient representing a deviation value is calculated as the second evaluation value.
The first processing unit and the second processing unit each calculate the first evaluation value and the second evaluation value for the plurality of target tasks forming the critical path,
1 . The third processing unit estimates the degree of reaction to remuneration for each of the plurality of target tasks forming the critical path based on the first evaluation value and the second evaluation value. The schedule execution support device described in .
A schedule execution support method executed by a schedule execution support device that allocates personnel to multiple jobs and executes predetermined processes, the method comprising:
for each of the plurality of tasks, calculating a first evaluation value representing a degree of dispersion of required work time based on past work results of a plurality of personnel;
for each of the plurality of tasks, calculating a second evaluation value representing a degree of dispersion of predicted values of work required time among the plurality of personnel;
a step of estimating the degree of response to remuneration for each of the plurality of tasks based on the first evaluation value and the second evaluation value;
A process of identifying a critical path that determines the overall work time from the schedule;
a step of generating information representing a priority level of remuneration for a plurality of target tasks constituting the critical path based on the estimation result of the reaction degree, and outputting support information including information representing the generated priority level; A schedule execution support method comprising:
A program that causes a processor included in the schedule execution support device to execute at least one process of the first to fifth processing units included in the schedule execution support device according to any one of claims 1 to 4.