WO2024057451A1

WO2024057451A1 - Presentation device, presentation method, and presentation program

Info

Publication number: WO2024057451A1
Application number: PCT/JP2022/034439
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: 2022-09-14
Filing date: 2022-09-14
Publication date: 2024-03-21

Abstract

A presentation device (10) having: an accumulation unit (11) that accumulates, as a work selection tendency for each worker, information regarding work that said worker has undertaken in the past, said information including the remuneration, the travel distance to the work location, and the weather at the time of the work; a prediction unit (13) that compares information including the remuneration for new work, the travel distance from the current location of each worker to the work location of the new work, and the weather, with the work selection tendency for each worker, predicts each worker's likelihood of undertaking the new work, and creates a worker candidate list in which the workers are listed in the order of highest likelihood of undertaking; a suitability calculation unit (14) that, in order starting from the first worker on the worker candidate list, calculates the suitability of a case in which the worker travels to the work location of the new work and the worker undertakes the new work, said suitability being based on worker distribution and work occurrence distribution for each prescribed geographical subdivision; and a presentation unit (15) that presents the new work to a worker among the worker candidate list on the basis of an evaluation value, which is based on the suitability for each worker and the likelihood of undertaking for each worker.

Description

Presentation device, presentation method and presentation program

The present invention relates to a presentation device, a presentation method, and a presentation program.

Conventionally, methods have been developed to allocate work to each worker in order to improve work efficiency. For example, information on work slips is read all at once using wireless tags, the read information is aggregated, and the total movement cost is minimized for each worker input by the administrator. A method has been proposed for deriving a patrol route for work locations so that the amount of work is approximately equal (see Patent Document 1).

Japanese Patent Application Publication No. 2006-209383

However, in the conventional method, it is difficult to guide each worker to avoid overlap between sections as much as possible when the task is selected by the worker himself rather than being unilaterally assigned from a higher level. As a result, in the conventional method, the distribution of work to be performed and the distribution of workers become unbalanced depending on the section, and there is a problem in that the results of workers are unevenly distributed among the sections.

The present invention has been made in view of the above, and provides a presentation device, a presentation method, and a presentation method capable of guiding each worker so that the work occurrence distribution for each section and the worker distribution are balanced. The purpose is to provide presentation programs.

In order to solve the above-mentioned problems and achieve the purpose, a presentation device according to the present invention provides, in advance, information for each worker regarding work entrusted in the past, such as remuneration, travel distance to the work place, and work time. a storage unit that collects information including the weather and accumulates it as a work selection tendency, and when a new work occurs, the reward for the new work, the travel distance from the current location of each worker to the work location of the new work, and Comparing information including weather with the work selection tendency of each worker, predicting the probability of contracting the new work for each worker, and creating a worker candidate list listing workers in descending order of the probability of contracting. and a prediction unit that determines a predetermined geographical area in the case where the worker moves to the work location of the new work and is entrusted with the new work, starting from the worker at the top of the worker candidate list. a calculation unit that calculates the degree of suitability based on the occurrence distribution of each task and the distribution of the workers; The present invention is characterized by comprising a presentation unit that presents the new work to any of the workers listed in the worker candidate list.

According to the present invention, each worker can be guided so that the work occurrence distribution for each section and the worker distribution are balanced.

FIG. 1 is a diagram in which an example of the worker distribution is superimposed on the work occurrence distribution. FIG. 2 is a diagram in which an example of the worker distribution is superimposed on the work occurrence distribution. FIG. 3 is a diagram illustrating an example of the configuration of a presentation device according to an embodiment. FIG. 4 is a flowchart showing the processing procedure of pre-processing according to the embodiment. FIG. 5 is a flowchart showing the processing procedure of presentation processing according to the embodiment. FIG. 6 is a diagram in which an example of the worker distribution is superimposed on the work occurrence distribution. FIG. 7 is a diagram in which an example of the worker distribution is superimposed on the work occurrence distribution. FIG. 8 is a diagram illustrating an example of a computer that implements a presentation device by executing a program.

Below, embodiments of a presentation device, a presentation method, and a presentation program according to the present application will be described in detail based on the drawings. Further, the present invention is not limited to the embodiments described below.

[Embodiment]
First, as an embodiment, a presentation device that presents new tasks to workers so that the task occurrence distribution for each section and the worker distribution are balanced will be described.

1 and 2 are diagrams in which an example of the worker distribution is superimposed on the work occurrence distribution. In FIGS. 1 and 2, the work area is two-dimensionally displayed, and the work area is divided into, for example, grid-like sections, and the intensity of the number of tasks to be performed is indicated by the shading of each section. In FIGS. 1 and 2, the work occurrence distribution is displayed such that the hatching of the section (position indicated by x, y coordinates) becomes darker as the number of work occurrences increases. Also, workers are indicated with an asterisk.

In this embodiment, the following is assumed as an individual behavior model.

First, the psychological cost of moving (hereinafter referred to as moving cost) differs depending on the individual. Second, travel costs are determined by the distance between the project and the current location, the weather, etc. Third, case evaluation is performed by comparing travel costs and remuneration. Fourth, after receiving a contract, the worker moves to the work location of the contracted project.

And the consequences of this behavioral model are as follows.

First, people with high movement costs have difficulty moving from their initial position. People who have high travel costs will be slow to move to the new location even if a project comes up, but they will keep their positions.

People with low travel costs go to work in faraway places. People with low travel costs move easily within an area, so even if they are in the right location, if a job comes up, they will jump at the job and change locations. People with low travel costs are more likely to leave their post.

As a result, the distribution of projects and the distribution of workers may become unbalanced, as shown in FIG. 1, depending on the cost of moving workers. For this reason, the results of the workers will be unevenly distributed.

Therefore, in this embodiment, as shown in FIG. 2, tasks are assigned to each worker to guide each worker so that the work occurrence distribution and the worker distribution are balanced. present. As a result, in the embodiment, in tasks that are selected by workers themselves without unilateral allocation from a higher level, it is possible to prevent unevenness of areas in terms of results.

[Presentation device]
A presentation device that presents work to a worker will be described. FIG. 3 is a diagram illustrating an example of the configuration of a presentation device according to an embodiment.

In the presentation device 10, a predetermined program is loaded into a computer or the like including, for example, ROM (Read Only Memory), RAM (Random Access Memory), CPU (Central Processing Unit), etc., and the CPU executes the predetermined program. It is realized by Furthermore, the presentation device 10 has a communication interface that transmits and receives various information to and from other devices connected via a network or the like.

As shown in FIG. 3, the presentation device 10 according to the embodiment includes a storage section 11, a creation section 12, a prediction section 13, a suitability calculation section 14 (calculation section), and a presentation section 15.

The storage unit 11 collects information D1 in advance for each worker regarding work entrusted in the past, including remuneration, travel distance to the work location of the worker at that time, and weather at the time of work. Then, it is accumulated as the work selection tendency D2. The presentation device 10 can obtain the distance traveled by each worker by periodically detecting the position of each worker using, for example, a position detection function of a terminal that each worker has. The work selection tendency D2 is information that accumulates information including remuneration for work entrusted to each worker in the past, travel distance from the worker's location at that time to the work location, and weather. For example, the work selection tendency D2 is a table that includes items such as worker identification information, work identification information, work remuneration, travel distance, and weather.

The creation unit 12 creates a work occurrence distribution D3 that totals the number of work occurrences for each predetermined geographical division (hereinafter referred to as division). The creation unit 12 collects in advance information D1 including the past work remuneration of each worker, the travel distance of the worker entrusted with the work, and environmental information such as the weather at the time of entrustment. The work occurrence distribution D3 for each section is totaled.

When a new task D4 actually occurs, the prediction unit 13 calculates information including the reward for the task D4, the travel distance D5 from each worker's current location to the work location of the task D4, and the weather. The probability of entrustment for each worker is predicted in comparison with the selection tendency D2, and a worker candidate list D6 is created in which workers are listed in descending order of probability of entrustment.

When a new work D4 occurs, the prediction unit 13 selects a work based on the remuneration of the work D4, the work position of the work D4, the position of each worker, and the travel distance D5 from the worker's current location to the work location of the work D4. The probability that each worker will be entrusted with work D4 is predicted using the travel distance and remuneration to the work place to which each worker was entrusted during similar weather recorded in trend D2. The prediction unit 13 predicts a predetermined rule based on information including, for example, the remuneration for the work D4, the travel distance D5 from each worker's current location to the work location of the work D4, and the weather, and the work selection tendency of each worker. Use to predict the predicted probability.

The prediction unit 13 searches the table of work selection trends D2 for each attribute of the new work D, and predicts the acceptance probability for each worker based on whether work with the same conditions has been accepted in the past. In this case, prediction can only be made when there is a complete match, and the answer can only be 0 or 1. Therefore, the prediction unit 13 predicts the contract probability for each worker using a method such as taking a probability distribution for each axis in an N-dimensional (N is a natural number) space with each attribute as an axis. You can. In this case, the prediction unit 13 may employ probability distribution estimation using the MCMC (Markov Chain Monte Carlo) method, for example.

At this time, the prediction unit 13 learned each worker's past entrusted work, remuneration, travel distance to the work place, and weather at the time of work, which are recorded in the work selection tendency D2, as learning data. The prediction model may be used to predict the contract probability for each worker for the actual work D4.

The suitability calculation unit 14 calculates the worker demand suitability based on the work occurrence distribution for each predetermined geographical area and the worker distribution. The worker demand suitability is the degree of similarity between the work occurrence distribution and occurrence distribution for each section and the actual worker distribution information. The suitability calculation unit 14 calculates the worker demand suitability D7 (fitness) based on the work occurrence distribution D3 and the actual worker distribution information. The presentation device 10 can acquire worker distribution information by periodically detecting the location of each worker, for example, using a location detection function of a terminal that each worker has.

Note that the suitability calculation unit 14 calculates the worker demand suitability D7 using a general similarity calculation method. The suitability calculating unit 14 may calculate the worker demand suitability D7 by, for example, correlating the work occurrence distribution and work occurrence distribution for each section with the actual worker distribution information. In addition, the suitability calculation unit 14 calculates the worker demand suitability by, for example, logarithmically transforming either the work occurrence distribution and work occurrence distribution for each section and the actual worker distribution information and then taking the correlation. D7 may also be calculated.

Here, Wxy is the number of workers in sections x and y. Wxy is normalized so that the total over the entire area is 1. Let Exy be the number of operations in sections x and y. Exy is normalized so that the total range is 1. Then, the worker demand suitability is calculated based on Wxy and Exy, as shown in equation (1).

The presentation unit 15 uses the suitability calculation unit 14 to calculate the worker demand suitability for the case where the worker moves to the work location of the work D4, starting from the worker at the top of the worker candidate list D6. . The worker demand suitability is calculated based on the work occurrence distribution and the worker distribution for each section, as shown in equation (1).

The presentation unit 15 presents the work D4 to any of the workers listed in the worker candidate list based on the evaluation value based on the worker demand suitability and contract probability calculated for each worker.

First, the presentation unit 15 determines the worker to whom the work D4 should be presented based on the evaluation value based on the worker demand suitability and contract probability of each worker listed in the worker candidate list. At this time, the presentation unit 15 obtains an evaluation value that is a linear combination of the worker demand suitability and contract probability of each worker. Then, for example, the presentation unit 15 assigns the work D4 to the worker with the highest evaluation value among the workers listed in the worker candidate list, and presents the work D4 to this worker. For example, the presenting unit 15 outputs the presentation information of the work D4 to a terminal owned by the worker to whom the presentation is made, and causes the worker to accept the work D4.

[Pre-processing]
FIG. 4 is a flowchart showing the processing procedure of pre-processing according to the embodiment. As shown in FIG. 4, in the presentation device 10, the storage unit 11 includes information on the past work remuneration of each worker, the distance traveled by the worker who accepted the work, and environmental information such as the weather at that time. Information D1 is collected and accumulated as work selection tendency D2 (step S1).

Subsequently, the creation unit 12 creates a work occurrence distribution that totals the number of work occurrences for each section (step S2). The creation unit 12 outputs the created work occurrence distribution to the suitability calculation unit 14, for example.

[Presentation processing]
FIG. 5 is a flowchart showing the processing procedure of presentation processing according to the embodiment. As shown in FIG. 5, when a new task actually occurs, the presentation device 10 receives the content and work location of the new task (step S11).

Then, the prediction unit 13 compares the information including the remuneration for the new work, the travel distance from each worker's current location to the work location of the new work, and the weather with the work selection tendency of each worker. The contract probability for each worker is predicted (step S12). Then, the prediction unit 13 creates a worker candidate list in which workers are listed in descending order of acceptance probability (step S13).

The presentation unit 15 causes the suitability calculation unit 14 to calculate the worker demand suitability for the case where the worker moves to a new work location, starting from the worker at the top of the worker candidate list (step S14). ).

The presentation unit 15 determines which worker to present the new work to based on an evaluation value that is a linear combination of the worker demand suitability and the acceptance probability calculated for each worker listed in the candidate worker list (step S15), and presents the new work to the proposed worker (step S16). For example, the presentation unit 15 presents the new work to the worker with the highest evaluation value.

[Effects of embodiment]
6 and 7 are diagrams in which an example of the worker distribution is superimposed on the work occurrence distribution. In FIGS. 6 and 7, similarly to FIGS. 1 and 2, the work area is displayed two-dimensionally, workers are indicated by stars, and the number of work occurrences is indicated by the shading of each section of the work area.

For example, as shown in FIGS. 6 and 7, if work D41 occurs across divisions (1, 1) and (1, 2), the worker indicated by an asterisk may be entrusted with this work D41. There is sex.

As shown in Figure 6, we will assume that worker H1 in section (4,1) has been commissioned to perform task D41. In this case, worker H1 moves from section (4,1) to section (1,1). That is, worker H1 moves from section (4,1), which has a small number of tasks, to section (1,1), which has a large number of tasks and where new task D41 has occurred. As a result, the movement of worker H1 brings the task occurrence distribution for each section and the distribution of workers closer to an equilibrium state. That is, in the case of Figure 6, the worker demand fit is high.

The presentation device 10 presents a new task to the worker who has the largest evaluation value obtained by linearly combining worker demand suitability and contract probability. Therefore, if the worker demand suitability of worker H1 is higher than that of other workers, and if the acceptance probability of worker H1 is higher than that of other workers, the presentation device 10 assigns work D41 to work D41. person H1.

As a result, the presentation device 10 brings the work occurrence distribution and the worker distribution for each section closer to an equilibrium state. Therefore, the presentation device 10 presents the new work D41 to the worker H1 who was located in a section with a small number of tasks, and allows the worker to accept the task. This is to ensure that there is no imbalance in the results of each person.

On the other hand, in FIG. 7, the description will be made assuming that worker H2 of section (2, 1) has been entrusted with work D41. In this case, since the worker H2 hardly moves, he is not involved in the balance between the work occurrence distribution for each section and the worker distribution. That is, in the case of FIG. 7, it is considered that the worker demand suitability does not change significantly.

For this reason, the presentation device 10 does not present the work D41 to the worker H2 because the evaluation value obtained by linearly combining the worker demand suitability and the contract probability is smaller than that of other workers. Thereby, the presentation device 10 reduces the occurrence of unevenness in the results of the workers, which occurs when the worker H2 in the section (2, 1) with a large number of tasks is entrusted with the work.

In this way, the presentation device 10 selects workers based on the worker demand suitability of each worker, which is calculated based on the number of workers in the section and the number of tasks in the section, and the contract probability of each worker. Calculate the evaluation value of each worker listed in the candidate list. For example, the presentation device 10 presents the work to the worker with the highest evaluation value among the workers listed in the worker candidate list, so that the work occurrence distribution for each section and the worker distribution are balanced. It is possible to induce each worker to accept the work so that the state is met. As a result, according to the embodiment, it is possible to reduce the occurrence of unbalanced divisions in terms of worker results in tasks that are selected by workers themselves without unilateral assignment from a higher level.

[About the system configuration of the embodiment]
Each component of the presentation device 10 shown in FIG. 3 is functionally conceptual, and does not necessarily need to be physically configured as shown. In other words, the specific form of distribution and integration of the functions of the presentation device 10 is not limited to what is shown in the diagram, and all or part of them can be functionally or physically distributed in arbitrary units depending on various loads and usage conditions. It can be configured to be distributed or integrated.

Further, all or any part of each process performed in the presentation device 10 may be realized by a CPU and a program that is analyzed and executed by the CPU. Further, each process performed in the presentation device 10 may be implemented as hardware using wired logic.

Furthermore, among the processes described in the embodiments, all or part of the processes described as being performed automatically can also be performed manually. Alternatively, all or part of the processes described as being performed manually can also be performed automatically using known methods. In addition, the information including the processing procedures, control procedures, specific names, and various data and parameters described above and illustrated can be changed as appropriate, unless otherwise specified.

[program]
FIG. 8 is a diagram illustrating an example of a computer that implements the presentation device 10 by executing a program. Computer 1000 includes, for example, a memory 1010 and a CPU 1020. The computer 1000 also includes a hard disk drive interface 1030, a disk drive interface 1040, a serial port interface 1050, a video adapter 1060, and a network interface 1070. These parts are connected by a bus 1080.

The memory 1010 includes a ROM 1011 and a RAM 1012. The ROM 1011 stores, for example, a boot program such as BIOS (Basic Input Output System). Hard disk drive interface 1030 is connected to hard disk drive 1090. Disk drive interface 1040 is connected to disk drive 1100. For example, a removable storage medium such as a magnetic disk or an optical disk is inserted into disk drive 1100. Serial port interface 1050 is connected to, for example, mouse 1110 and keyboard 1120. Video adapter 1060 is connected to display 1130, for example.

The hard disk drive 1090 stores, for example, an OS (Operating System) 1091, an application program 1092, a program module 1093, and program data 1094. That is, a program that defines each process of the presentation device 10 is implemented as a program module 1093 in which code executable by the computer 1000 is written. Program module 1093 is stored in hard disk drive 1090, for example. For example, a program module 1093 for executing processing similar to the functional configuration of the presentation device 10 is stored in the hard disk drive 1090. Note that the hard disk drive 1090 may be replaced by an SSD (Solid State Drive).

Further, the setting data used in the processing of the embodiment described above is stored as program data 1094 in, for example, the memory 1010 or the hard disk drive 1090. Then, the CPU 1020 reads out the program module 1093 and program data 1094 stored in the memory 1010 and the hard disk drive 1090 to the RAM 1012 as necessary and executes them.

Note that the program module 1093 and the program data 1094 are not limited to being stored in the hard disk drive 1090, but may be stored in a removable storage medium, for example, and read by the CPU 1020 via the disk drive 1100 or the like. Alternatively, the program module 1093 and the program data 1094 may be stored in another computer connected via a network (LAN (Local Area Network), WAN (Wide Area Network), etc.). Program module 1093 and program data 1094 may then be read by CPU 1020 from another computer via network interface 1070.

Although the embodiments applying the invention made by the present inventor have been described above, the present invention is not limited by the description and drawings that form part of the disclosure of the present invention according to the present embodiments. That is, all other embodiments, examples, operational techniques, etc. made by those skilled in the art based on this embodiment are included in the scope of the present invention.

10 presentation device 11 storage unit 12 creation unit 13 prediction unit 14 fitness calculation unit 15 presentation unit

Claims

an accumulation unit that collects information for each worker in advance regarding work entrusted in the past, including remuneration, travel distance to the work place, and weather at the time of work, and accumulates the information as a work selection tendency;
When a new task occurs, information including the remuneration of the new task, the travel distance from each worker's current location to the work location of the new task, and the weather is compared with the task selection tendency of each worker. a prediction unit that predicts the probability of contracting the new work for each worker and creates a worker candidate list in which workers are listed in descending order of the probability of contracting the new work;
In the case where the worker moves to the work location of the new work and is entrusted with the new work, starting with the worker at the top of the worker candidate list, the occurrence of work in each predetermined geographical area. a calculation unit that calculates a fitness degree based on the distribution and the distribution of the workers;
a presentation unit that presents the new work to one of the workers listed in the worker candidate list based on the evaluation value based on the suitability of each worker and the contract probability of each worker;
A presentation device comprising:
The presenting unit presents the new work to the worker who has the highest evaluation value obtained by linearly combining the suitability of each worker and the contract probability of each worker. presentation device.
The presentation device according to claim 1, further comprising a creation unit that creates, in advance, a work occurrence distribution that totals the number of cases in which the work has occurred for each of the geographical divisions.
The presentation device according to claim 1, wherein the degree of suitability is a degree of similarity between the work occurrence distribution for each section, the work occurrence distribution, and actual worker distribution information.
A presentation method executed by a presentation device, comprising:
A step in which information is collected in advance for each worker regarding work entrusted in the past, including remuneration, travel distance to the work location, and weather at the time of work, and is accumulated as a work selection tendency;
When a new task occurs, information including the remuneration of the new task, the travel distance from each worker's current location to the work location of the new task, and the weather is compared with the task selection tendency of each worker. predicting the probability of being commissioned for the new work for each worker, and creating a worker candidate list in which workers are listed in descending order of the probability of being commissioned;
In the case where the worker moves to the work location of the new work and is entrusted with the new work, starting with the worker at the top of the worker candidate list, the occurrence of work in each predetermined geographical area. calculating a goodness of fit based on a distribution and a distribution of the workers;
Presenting the new work to one of the workers listed in the worker candidate list based on the evaluation value based on the suitability of each worker and the acceptance probability of each worker;
A presentation method characterized by including.
A presentation program for causing a computer to function as the presentation device according to any one of claims 1 to 4.