JP7495098B2 - Affiliation selection support device, assignment selection support method, and program - Google Patents

Description

The present invention relates to an assignment selection support device, an assignment selection support method, and a program for supporting the selection of an assignment.

In organizations with frequent personnel transfers, for example, personnel transfers may occur every three years on average. The reasons for such frequent personnel transfers include the need to prevent collusion and standardize services. However, frequent personnel transfers place a heavy burden on human resources personnel. However, because personnel transfer work involves handling personal information, it is difficult to outsource the work. As a result, there is a demand to reduce the burden on human resources personnel.

As a related technique, Patent Document 1 discloses a personnel allocation support system that allocates optimal personnel to each of multiple departments in a balanced manner. According to the personnel allocation support system of Patent Document 1, appropriate allocation information including the job rank and number of personnel required for each department is created using standard information that at least associates the work content with the job rank and number of personnel required for that work, and work information including the work content of each department, and surplus and vacant personnel in each department are extracted using the appropriate allocation information and actual allocation information including the job rank and number of personnel actually allocated to each department to create information related to personnel.

JP 2006-172125 A

However, although the personnel allocation support system in Patent Document 1 is a system that allocates optimal personnel to each of multiple departments in a balanced manner, the use of this system still does not significantly reduce the burden on human resources personnel.

In addition, when it comes to personnel transfer procedures, the task of selecting personnel assignments places a heavy burden on personnel managers. Therefore, it is desirable to automate the task of selecting assignments as much as possible.

One example of the objective of the present invention is to provide an assignment selection support device, an assignment selection support method, and a program that efficiently select assignment destinations for personnel.

In order to achieve the above object, an assignment selection support device according to one aspect of the present invention comprises:
A generation unit that generates selection information by associating an index corresponding to the matched selection condition with the target person and an assignment destination related to the matched job type when the personnel information of the target person for personnel transfer matches a selection condition set for each job type;
A selection unit that inputs the selection information into a model for selecting assignment candidates to select assignment candidates for each of the subjects;
The present invention is characterized by having the following:

In order to achieve the above object, a method for supporting assignment selection according to one aspect of the present invention includes:
a generation step of generating selection information by associating an index corresponding to the matched selection condition with an assignment destination related to the matched job type of the target person when the personnel information of the target person of personnel transfer matches the selection condition set for each job type;
a selection step of inputting the selection information into a model for selecting candidate assignments to select candidate assignments for each of the subjects;
The present invention is characterized by having the following.

Furthermore, in order to achieve the above object, a program according to one aspect of the present invention comprises:
A generation step in which, when the personnel information of a person to be a transferee matches a selection condition set for each job type, an indicator corresponding to the matched selection condition is associated with an assignment destination related to the target person and the matched job type to generate selection information;
a selection step of inputting the selection information into a model for selecting candidate assignments to select candidate assignments for each of the subjects;
The present invention is characterized in that the above-mentioned is executed.

As described above, the present invention allows for efficient selection of personnel assignments.

FIG. 1 is a diagram illustrating an example of an assignment selection support device. FIG. 2 is a diagram for explaining an example of job types, selection conditions, and indexes. FIG. 3 is a diagram illustrating an example of the selection information. FIG. 4 is a diagram for explaining an example of a system having an assignment selection support device. FIG. 5 is a diagram illustrating an example of information indicating candidate departments for a person who is a target of personnel transfer. FIG. 6 is a diagram for explaining an example of the operation of the assignment selection support device. FIG. 7 is a block diagram showing an example of a computer that realizes the assignment selection support device.

(Embodiment)
Hereinafter, an embodiment of the present invention will be described with reference to the drawings. In the drawings described below, elements having the same or corresponding functions are denoted by the same reference numerals, and repeated description thereof may be omitted.

[Device configuration]
First, the configuration of an assignment destination selection support device 10 in this embodiment will be described with reference to Fig. 1. Fig. 1 is a diagram for explaining an example of an assignment destination selection support device.

The assignment selection support device 10 shown in FIG. 1 is a device that reduces the burden on human resources personnel by making the selection of assignments more efficient. Also, as shown in FIG. 1, the assignment selection support device 10 has a generation unit 11 and a selection unit 12.

When the personnel information of a person who is the subject of a personnel transfer matches the selection conditions set for each job type, the generation unit 11 generates selection information by associating an indicator corresponding to the matched selection condition with the person who is the subject of the personnel transfer and an assignment (post) related to the matched job type.

Personnel information is information about personnel, such as the age, sex, affiliation, position, commuting route, relatives, transfer history, long-term sick leave, number of people in the affiliation, affiliation characteristics, transfer requests, and qualifications. However, personnel information is not limited to the information described above. Note that while personnel information is preferably created automatically, it may also be created manually.

Figure 2 is a diagram for explaining an example of job types, selection conditions, and indicators. Job types are information that indicates the type of work of an affiliation. Selection conditions are conditions that are preset for each job type, and are information that indicates the conditions necessary for a person to belong to an affiliation.

The index is information determined based on, for example, past experience or cases, and is set in advance for each selection condition. Specifically, the index may be expressed as a numerical value. In the example of FIG. 2, the index is calculated using an additional point and a weight.

Specifically, when the personnel information of a person subject to personnel transfer matches the selection condition "No. 1" in Figure 2, an index 4 (= 1 x 4) is calculated using an added point of "1" and a weight of "4". If there are other matching selection conditions besides "No. 1", the calculated value (index) for "No. 1" is added to the values (indexes) calculated for the other selection conditions to obtain the index. In other words, an index is calculated for all job types for each person subject to personnel transfer.

The selection information is information that associates an index with each combination of personnel transfer targets and assignment destinations. Figure 3 is a diagram for explaining an example of selection information. The selection information shown in Figure 3 is a score table expressed as a matrix (n x n) using personnel and assignment destinations.

For example, in the case of a person with identification number "4589," if the personnel information for identification number "4589" matches the selection conditions for "job type A," "job type B," and "job type C," points will be added to the assignments related to "job type A," "job type B," and "job type C" (values (indicators) other than "0" are assigned). Note that no points will be added to "job type D." This is because the person with identification number "4589" does not match the selection conditions for "job type D."

The selection unit 12 inputs the selection information into a model for selecting candidate assignments and selects candidate assignments for each subject.

The model is a model that outputs potential assignments for each candidate when selection information is input. In addition, it is preferable for the model to use a combinatorial optimization engine or the like. As an example of a combinatorial optimization engine, an engine using the Hungarian method is conceivable.

In this way, in this embodiment, candidate assignments for personnel transfer targets can be automatically generated and presented to the human resources personnel, allowing the human resources personnel to efficiently select assignments. This reduces the burden on the human resources personnel.

[System configuration]
Next, the configuration of the assignment selection support device 10 in this embodiment will be described in more detail with reference to Fig. 4. Fig. 4 is a diagram for explaining an example of a system having an assignment selection support device.

As shown in FIG. 4, the system 20 in this embodiment has an input device 21 and an output device 22 in addition to the assignment selection support device 10. The assignment selection support device 10 has an identification unit 13 and an output information generation unit 14 in addition to the generation unit 11 and selection unit 12.

The assignment selection support device 10 is a device that reduces the burden on human resources personnel and enables efficient assignment selection. The assignment selection support device 10 is, for example, an information processing device such as a computer equipped with a programmable device (for example, a CPU (Central Processing Unit), or an FPGA (Field-Programmable Gate Array), or both). The assignment selection support device 10 may be realized using an information processing device such as a server computer or a mobile terminal.

The input device 21 is a device for inputting the above-mentioned personnel information and the like. Specifically, first, a personnel officer inputs the personnel information using a user interface such as a touch panel, keyboard, or mouse. Next, the input device 21 transmits the personnel information to the identification unit 13 and the generation unit 11. Note that information containing personnel information and the like may be collected via a network and input to the assignment selection support device 10.

The output device 22 acquires the output information converted into an outputtable format by the output information generation unit 14, and outputs the generated image and sound based on the output information. The output device 22 is, for example, an image display device using a liquid crystal, an organic EL (Electro Luminescence), or a CRT (Cathode Ray Tube). Furthermore, the image display device may also include an audio output device such as a speaker. The output device 22 may also be a printing device such as a printer.

The assignment selection support device will now be described in detail.
The identification unit 13 inputs personnel information related to personnel of an organization into a model for identifying persons to be subject to personnel transfer, and identifies persons to be subject to personnel transfer.

Specifically, first, the identification unit 13 acquires personnel information related to personnel in the organization. Next, the identification unit 13 inputs the personnel information related to personnel in the organization into a model for identifying persons subject to personnel transfer. Next, the identification unit 13 acquires information representing persons subject to personnel transfer output from the model. Next, the identification unit 13 outputs the personnel information of persons subject to personnel transfer to the generation unit 11.

The model is, for example, a model that uses AI discriminant analysis (supervised learning). Specifically, the model is generated using predictive decision trees, random forests, LightGBM, etc. In addition, in the learning phase, the model learns using transfer results related to past personnel transfers, and is stored in a storage device. The storage device may be provided within the assignment selection support device 10, or may be provided outside the assignment selection support device 10.

The past data used for learning includes, for example, personnel information for each employee of the organization as of the relevant past fiscal year, and information on whether or not that employee was subject to transfer in that past fiscal year. From this past data, discrimination information (features) such as age, years of employment, personal wishes, and the intentions of the organization head are learned, and based on the stored discrimination information, employees who have similar discrimination information in the year being analyzed are output as subjects for personnel transfer.

The generation unit 11 compares the personnel information of each person who is the subject of a personnel transfer with the selection conditions corresponding to all job types, and if the personnel information matches the selection conditions, selects an index corresponding to the matching selection conditions and assigns an index to the person and the assignment related to the matching selection conditions.

Specifically, first, the generating unit 11 acquires personnel information on the people who are the targets of personnel transfer from the identifying unit 13. However, personnel whose assignments have already been decided are excluded from the people who are the targets of personnel transfer.

Next, the generation unit 11 compares the personnel information of the person who is the subject of the personnel transfer with all the selection conditions. Next, if the personnel information of the person who is the subject of the personnel transfer matches the selection conditions set for each job type, the generation unit 11 selects an index that corresponds to the matching selection condition. For example, as shown in FIG. 2, the index may be calculated using points and weights.

Next, the generation unit 11 generates selection information by associating the selected indicators with the personnel transfer targets and the assignments related to the matching job types. When the comparison of all personnel transfer targets with the selection conditions for each job type is completed, a score table (selection information) such as that shown in FIG. 3 is completed. Next, the generation unit 11 outputs the selection information to the selection unit 12.

The selection unit 12 inputs the selection information into a model for selecting candidate assignment destinations, and selects candidate assignment destinations for each of the subjects. Specifically, first, the selection unit 12 acquires the selection information from the generation unit 11. Next, the selection unit 12 inputs the selection information into the model. Next, the selection unit 12 acquires candidate assignment destinations for each of the subjects from the model. Thereafter, the selection unit 12 outputs information representing the candidate assignment destinations for the subjects of the personnel transfer to the output information generation unit 14.

When the model is a combinatorial optimization engine that employs the Hungarian method, the selection unit 12 processes, for example, the matrix shown in FIG. 3 into an n×n matrix. Where there are insufficient elements in the matrix, dummy "0"s are added.

Next, this matrix is input into a combinatorial optimization engine that uses the Hungarian method to calculate the optimal combination that maximizes the total score, and to find potential assignments for each person subject to personnel transfer.

The output information generation unit 14 generates output information to present potential assignment destinations for each of the personnel transfer targets to the personnel manager. Specifically, the output information generation unit 14 first acquires information representing potential assignment destinations for the personnel transfer targets from the selection unit 12. Next, the output information generation unit 14 generates output information to output the information representing the potential assignment destinations for the personnel transfer targets to the screen of the output device 22. After that, the output information generation unit 14 outputs the output information to the output device 22.

Figure 5 is a diagram for explaining an example of information showing potential assignment destinations for personnel transfer targets. A display such as that shown in Figure 5 is output on the screen of the output device 22. The "Best Department" in Figure 5 shows the department (post) that is considered to be best for the personnel transfer target. Additionally, the "Score" in the figure shows the total index for each personnel transfer target.

[Device Operation]
Next, the operation of the assignment destination selection support device in the embodiment of the present invention will be described with reference to Fig. 6. Fig. 6 is a diagram for explaining an example of the operation of the assignment destination selection support device. In the following description, Figs. 1 to 5 will be referred to as appropriate. Also, in this embodiment, an assignment destination selection support method is implemented by operating the assignment destination selection support device. Therefore, the description of the assignment destination selection support method in this embodiment will be replaced with the description of the operation of the assignment destination selection support device below.

As shown in FIG. 6, first, the identification unit 13 inputs personnel information regarding personnel of the organization into a model for identifying persons subject to personnel transfer, and identifies persons subject to personnel transfer (step A1).

Specifically, in step A1, first, the identification unit 13 acquires personnel information related to personnel in the organization. Next, in step A1, the identification unit 13 inputs the personnel information related to personnel in the organization into a model for identifying persons subject to personnel transfer. Next, in step A1, the identification unit 13 acquires information representing persons subject to personnel transfer output from the model. Next, in step A1, the identification unit 13 outputs the personnel information of persons subject to personnel transfer to the generation unit 11.

Next, when the personnel information of the person to be transferred matches the selection conditions corresponding to the job type, the generation unit 11 generates selection information by associating an indicator corresponding to the matched selection condition with the person to be transferred and an assignment related to the matched job type (step A2).

Specifically, in step A2, the generation unit 11 first acquires personnel information on the people who are the targets of the personnel transfer from the identification unit 13. However, personnel whose assignments have already been decided are excluded from the people who are the targets of the personnel transfer.

Next, in step A2, the generation unit 11 compares the personnel information of the person who is the subject of the personnel transfer with all the selection conditions. Next, in step A2, if the personnel information of the person who is the subject of the personnel transfer matches the selection conditions set for each job type, the generation unit 11 selects an index that corresponds to the matching selection condition. For example, as shown in FIG. 2, the index may be calculated using points and weights.

Next, in step A2, the generation unit 11 generates selection information by associating the selected indicators with the personnel transfer targets and the assignments related to the matching job types. When the comparison of the selection conditions for each job type for all personnel transfer targets is completed, a score sheet (selection information) such as that shown in FIG. 3 is completed. Next, in step A2, the generation unit 11 outputs the selection information to the selection unit 12.

Next, the selection unit 12 inputs the selection information into a model for selecting potential assignment destinations, and selects potential assignment destinations for each of the subjects (step A3).

Specifically, in step A3, first, the selection unit 12 acquires selection information from the generation unit 11. Then, in step A3, the selection unit 12 inputs the selection information into the model. Then, in step A3, the selection unit 12 acquires candidate assignment destinations for each of the targets from the model. After that, in step A3, the selection unit 12 outputs information representing candidate assignment destinations for the targets of personnel transfer to the output information generation unit 14.

When the model is a combinatorial optimization engine that employs the Hungarian method, the selection unit 12 processes, for example, the matrix shown in FIG. 3 into an n×n matrix. In places where there are insufficient elements in the matrix, "0" is added as a dummy.

Next, this matrix is input into a combinatorial optimization engine that uses the Hungarian method to calculate the optimal combination that maximizes the total score, and to find potential assignments for each person subject to personnel transfer.

Next, the output information generation unit 14 generates output information to present to the human resources personnel candidate assignments for each of the personnel transfer targets (step A4).

Specifically, in step A4, first, the output information generation unit 14 acquires information representing candidate assignment destinations for the person subject to personnel transfer from the selection unit 12. Next, in step A4, the output information generation unit 14 generates output information to output the information representing candidate assignment destinations for the person subject to personnel transfer to the screen of the output device 22. After that, in step A4, the output information generation unit 14 outputs the output information to the output device 22.

[Effects of this embodiment]
As described above, according to the present embodiment, it is possible to automatically generate and present candidate departments for personnel transfer recipients to the personnel manager, so that the personnel manager can efficiently select departments. This reduces the burden on the personnel manager.

For example, if there are selection conditions such as those shown below in (1) to (12), it would be difficult to manually assign all personnel, but according to this embodiment, it is possible to automatically identify candidate assignment destinations for those who are the subject of personnel transfers. Therefore, human resources personnel can efficiently select assignment destinations, and further reduce the burden on human resources personnel.

(1) Personnel (staff) under the age of 40 will be assigned to departments in which they have no experience.
(2) Personnel (staff members) in their 50s will be reassigned to departments in which they have experience.
(3) Section chiefs and above will be assigned to positions in which they have experience.
(4) In jobs requiring qualifications, qualified personnel will be placed at the rank of section chief or above.
(5) In the event that a qualified person is unavailable due to retirement or other reasons, a qualified person will be given top priority for placement.
(6) Assign personnel who have the necessary qualifications to each location.
(7) The employee will be assigned to the same department in which he or she has work experience.
(8) The ratio of males to females within the department should be average.
(9) Childcare leave and family status: Personnel who are raising children, have given birth, or are about to give birth should be assigned to workplaces with a large number of employees.
(10) Shinkansen commuters will be assigned to the main office taking into consideration their commuting time.
(11) Personnel on long-term sick leave should be assigned to workplaces with a large number of employees or workplaces with less overtime.
(12) Transfers to different departments are the general rule.

In addition, according to this embodiment, even in situations where a large number of people are transferred at the same time, the above-mentioned combinatorial optimization engine (e.g., a model using the Hungarian method) is used to perform combinatorial optimization for a large number of people to be transferred, so that the large number of people to be transferred can be assigned to the most optimal positions.

[program]
The program in the embodiment of the present invention may be a program that causes a computer to execute steps A1 to A4 shown in Fig. 6. By installing and executing this program in a computer, the assignment selection support device and assignment selection support method in the present embodiment can be realized. In this case, the processor of the computer functions as the identification unit 13, the generation unit 11, the selection unit 12, and the output information generation unit 14 and performs processing.

The program in this embodiment may be executed by a computer system constructed by multiple computers. In this case, for example, each computer may function as one of the identification unit 13, the generation unit 11, the selection unit 12, and the output information generation unit 14.

[Physical configuration]
Here, a computer that realizes the assignment selection support device by executing a program in the embodiment will be described with reference to Fig. 7. Fig. 7 is a block diagram showing an example of a computer that realizes the assignment selection support device in the embodiment of the present invention.

As shown in FIG. 7, the computer 110 includes a CPU (Central Processing Unit) 111, a main memory 112, a storage device 113, an input interface 114, a display controller 115, a data reader/writer 116, and a communication interface 117. These components are connected to each other via a bus 121 so as to be able to communicate data with each other. Note that the computer 110 may include a GPU (Graphics Processing Unit) or an FPGA (Field-Programmable Gate Array) in addition to or instead of the CPU 111.

The CPU 111 expands the program (code) in this embodiment stored in the storage device 113 into the main memory 112 and executes it in a predetermined order to perform various calculations. The main memory 112 is typically a volatile storage device such as a DRAM (Dynamic Random Access Memory). The program in this embodiment is provided in a state stored in a computer-readable recording medium 120. The program in this embodiment may be distributed over the Internet connected via the communication interface 117. The recording medium 120 is a non-volatile recording medium.

Specific examples of the storage device 113 include a hard disk drive and a semiconductor storage device such as a flash memory. The input interface 114 mediates data transmission between the CPU 111 and input devices 118 such as a keyboard and a mouse. The display controller 115 is connected to the display device 119 and controls the display on the display device 119.

The data reader/writer 116 mediates data transmission between the CPU 111 and the recording medium 120, reads programs from the recording medium 120, and writes the results of processing in the computer 110 to the recording medium 120. The communication interface 117 mediates data transmission between the CPU 111 and other computers.

Specific examples of the recording medium 120 include general-purpose semiconductor storage devices such as CF (Compact Flash (registered trademark)) and SD (Secure Digital), magnetic recording media such as flexible disks, and optical recording media such as CD-ROMs (Compact Disk Read Only Memory).

[Additional Notes]
The following supplementary notes are further disclosed with respect to the above-described embodiments. A part or all of the above-described embodiments can be expressed by (Supplementary Note 1) to (Supplementary Note 12) described below, but are not limited to the following descriptions.

(Appendix 1)
A generation unit that generates selection information by associating an index corresponding to the matched selection condition with the target person and an assignment destination related to the matched job type when the personnel information of the target person for personnel transfer matches a selection condition set for each job type;
A selection unit that inputs the selection information into a model for selecting assignment candidates to select assignment candidates for each of the subjects;
An assignment selection support device comprising:

(Appendix 2)
2. The assignment selection support device according to claim 1,
An assignment selection support device comprising: an identification unit that inputs personnel information on personnel of an organization into a model for identifying persons to be transferred, and identifies persons to be transferred.

(Appendix 3)
3. The apparatus for supporting assignment selection according to claim 1,
The index is a score calculated using a preset additional point and weighting.

(Appendix 4)
4. The assignment selection support device according to claim 3,
The selection unit is
generating a matrix using the selection information;
The generated matrix is input to the model, which is a combinatorial optimization engine, and a combinatorial optimal solution that maximizes the total score for each subject is calculated;
and selecting candidate assignment destinations for each of the subjects based on the optimal solution.

(Appendix 5)
a generation step of generating selection information by associating an index corresponding to the matched selection condition with an assignment destination related to the matched job type of the target person when the personnel information of the target person of personnel transfer matches the selection condition set for each job type;
a selection step of inputting the selection information into a model for selecting potential assignment destinations to select potential assignment destinations for each of the subjects;
A method for supporting selection of a department to be assigned, comprising:

(Appendix 6)
The method for supporting assignment selection according to claim 5,
A method for supporting selection of department assignments, comprising inputting personnel information on personnel of an organization into a model for identifying persons to be transferred, and identifying persons to be transferred.

(Appendix 7)
The method for supporting assignment selection according to claim 5 or 6,
The method for supporting assignment selection, wherein the index is a score calculated using a preset additional point and weighting.

(Appendix 8)
The method for supporting assignment selection according to claim 7,
In the selection step,
generating a matrix using the selection information;
The generated matrix is input to the model, which is a combinatorial optimization engine, and a combinatorial optimal solution that maximizes the total score for each subject is calculated;
selecting candidate assignment destinations for each of the subjects based on the optimal solution.

(Appendix 9)
A generation step in which, when the personnel information of a person to be a transferee matches a selection condition set for each job type, an indicator corresponding to the matched selection condition is associated with an assignment destination related to the target person and the matched job type to generate selection information;
a selection step of inputting the selection information into a model for selecting candidate assignments to select candidate assignments for each of the subjects;
A program that contains instructions to execute a program.

(Appendix 10)
10. The program according to claim 9,
an identification step of inputting personnel information on personnel of the organization into a model for identifying persons to be subject to personnel transfer in the computer, and identifying persons to be subject to personnel transfer;
A program that contains instructions to execute a program.

(Appendix 11)
The program according to claim 9 or 10,
The index is a score calculated using a preset additional point and weighting.

(Appendix 12)
12. The program according to claim 11,
In the selection step,
generating a matrix using the selection information;
The generated matrix is input to the model, which is a combinatorial optimization engine, and a combinatorial optimal solution that maximizes the total score for each subject is calculated;
selecting candidate assignment destinations for each of the subjects based on the optimal solution.

The present invention has been described above with reference to the embodiments, but the present invention is not limited to the above embodiments. Various modifications that can be understood by a person skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention.

As described above, the present invention allows for efficient selection of departments. The present invention is useful in fields that require personnel management.

REFERENCE SIGNS LIST 10 Assignment selection support device 11 Generation unit 12 Selection unit 13 Identification unit 14 Output information generation unit 20 System 21 Input device 22 Output device 110 Computer 111 CPU
112 Main memory 113 Storage device 114 Input interface 115 Display controller 116 Data reader/writer 117 Communication interface 118 Input device 119 Display device 120 Recording medium 121 Bus

Claims (9)

A generating means for comparing, for each person who is a target of personnel transfer , the personnel information of the person with the selection conditions set for each job type, and when the personnel information matches the selection conditions, generating selection information by associating an index corresponding to the matching selection condition with the person and an assignment related to the matching job type;
a selection means for generating a matrix having the indices included in the selection information as elements using the plurality of pieces of selection information generated for each of the subjects, inputting the generated matrix into a combinatorial optimization engine employing the Hungarian method, calculating a combination optimum solution that maximizes the total value of the scores represented by the indices for each of the subjects, and selecting assignment destination candidates for each of the subjects based on the calculated optimum solution;
The personnel information is information on at least one of the following: age, sex, affiliation, position, commuting route, relatives, transfer history, long-term sick leave, number of employees, affiliation characteristics, transfer requests, and qualifications of each employee.
An assignment selection support device comprising: The apparatus for supporting selection of an assignment according to claim 1,
an identification means for learning discrimination information representing the age, years of employment, personal wishes, and the intentions of an organization head of an organization of each of the organization's personnel, in order to identify the personnel transfer targets using past personnel information of each of the organization's personnel, and for identifying the personnel transfer targets in the next fiscal year from among the organization's personnel based on the discrimination information. 3. The apparatus for supporting assignment selection according to claim 1,
The index is a score calculated using a preset additional point and weighting. The computer
For each person who is a target of personnel transfer, the personnel information for the person is compared with the selection conditions set for each job type, and if the personnel information and the selection conditions match, an index corresponding to the matched selection condition is associated with the person and an assignment related to the matched job type to generate selection information;
Using the plurality of pieces of selection information generated for each of the subjects, a matrix is generated having the indices included in the selection information as elements, the generated matrix is input into a combinatorial optimization engine that employs the Hungarian method, a combinatorial optimal solution that maximizes the total value of the scores represented by the indices is calculated for each of the subjects, and assignment destination candidates for each of the subjects are selected based on the calculated optimal solution;
The personnel information is information on at least one of the following: age, sex, affiliation, position, commuting route, relatives, transfer history, long-term sick leave, number of employees, affiliation characteristics, transfer requests, and qualifications of each employee.
A method for supporting selection of a department to which a person is assigned. The method for supporting assignment selection according to claim 4 ,
A method for supporting selection of affiliation, comprising: learning discrimination information representing the age, years of employment, personal wishes, and the intentions of the organization head of each employee in order to identify employees who are candidates for personnel transfer using past personnel information of each employee in an organization; and identifying employees of the organization who are candidates for personnel transfer in the next fiscal year based on the discrimination information. The method for supporting assignment selection according to claim 4 or 5 ,
The method for supporting assignment selection, wherein the index is a score calculated using a preset additional point and weighting. A computer compares, for each person who is a target of personnel transfer , the personnel information of the person with the selection conditions set for each job type, and when the personnel information and the selection conditions match, generates selection information by associating an index corresponding to the matching selection condition with the person and an assignment related to the matching job type;
Using the plurality of pieces of selection information generated for each of the subjects, a matrix is generated having the indices included in the selection information as elements, the generated matrix is input to a combinatorial optimization engine employing the Hungarian method, a combinatorial optimal solution that maximizes the total value of the scores represented by the indices is calculated for each of the subjects, and assignment candidates for each of the subjects are selected based on the calculated optimal solution ;
The personnel information is information on at least one of the following: age, sex, affiliation, position, commuting route, relatives, transfer history, long-term sick leave, number of employees, affiliation characteristics, transfer requests, and qualifications of each employee.
A program characterized by : The program according to claim 7 ,
The computer
In order to identify personnel transfer targets using past personnel information of each of the organization's personnel, discrimination information that indicates the age, years of employment, personal wishes, and the intentions of the organization head of each of the personnel is learned, and personnel transfer targets for the next fiscal year are identified from among the personnel of the organization based on the discrimination information.
A program characterized by : The program according to claim 7 or 8 ,
The index is a score calculated using a preset weight and additional points.
A program characterized by :

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