JP5675077B2 - Human resource information management apparatus and program - Google Patents

Description

  The present invention relates to a human resource information management apparatus and program.

  2. Description of the Related Art In recent years, there has been a human resource search technology for searching for a person who meets a search condition by referring to personal information such as personal information such as a person's name and age, acquisition qualification, job history such as affiliation and post. Using this human resource search technology, we search for human resources that are useful for new businesses, or search for human resources that meet the recruitment conditions.

  It is also a human resource search system that searches and presents human resource information that matches the search conditions with reference to a profile database that stores personnel information, and has multiple aspects of human resources (ease of technology, work, and ease of communication). , Non-business activities, etc.), stored in the profile database, and presents characteristics related to accessibility (acquaintance information, personnel information, related or experienced projects, non-business activities) The technique to do is disclosed (for example, refer patent document 1).

JP 2005-327028 A

  However, in the above prior art, human resources having information that matches the search conditions are searched, for example, a person having an evaluation item “planning ability” of 80 or more and an evaluation item “development ability” of 70 or more. It's just something. For this reason, it has been necessary to specify in advance when the evaluation data acquired at the time is to be searched.

  However, for example, when the human resource is a company employee, the acquisition of evaluation data is performed at the time of hiring (at the time of joining the company), at the time of promotion, at the time of promotion, and therefore the acquisition timing varies for each employee. For this reason, in the prior art, it is necessary to specify a search condition for data having different acquisition times for each employee, and thus there is a problem that the specification of the search condition is complicated.

  In addition, in the prior art, in order to simplify the specification of search conditions, there are many operations that use only the latest evaluation data of each employee as a search target, and evaluation data acquired in the past with a great deal of cost is used at all. There was no problem.

  In addition, the conventional technique has a problem in that the accuracy of the search result varies because the search for human resources is performed on data with different acquisition times for each employee.

  In addition, in the prior art, when there is data with different evaluation programs for each employee (for example, the evaluation data of the first evaluation program is used for those who joined before 2005, and the second evaluation is used for those who joined the company after 2006). When there is evaluation data of the program), there was a problem that human resources search could not be performed with the same search conditions.

An object of the present invention, a plurality of acquisition timing is acquired a plurality of evaluation target item by item, to calculate the value of one of the evaluation items based on a single calculation method indicated by the score calculation information, one evaluation calculated It is to improve the accuracy of human resource search by generating human resource information having item values for each employee.

In order to solve the above problems, human resource information management apparatus according to claim 1, a first storage unit that stores the values of each of a plurality of evaluation target item acquired in a plurality of acquisition times for each employee, the first In order to calculate the value of one evaluation item in the evaluation target item from the values of the plurality of evaluation target items acquired at the plurality of acquisition times stored in one storage unit , at least an average calculation method and a maximum calculation method, a second storage unit that score calculation information indicating either one calculation method is Ru stored is set individually for each of the plurality of evaluation items of the plurality of calculation methods including the minimum calculating method, the first When calculating the value of one evaluation item in each evaluation target item from the values of the plurality of evaluation items for each evaluation target item acquired at the plurality of acquisition times stored in one storage unit, its evaluation, which is set and stored in the second storage unit The score calculation information of eye to calculate the average value of the values obtained in the plurality of acquisition times if the average calculation method as the value of the evaluation target item and said score calculation information of the evaluation target item If is the highest calculation method, the highest value among the values acquired at the plurality of acquisition times is calculated as the value of the evaluation target item, and the score calculation information of the evaluation target item is the minimum calculation If it is a method, the calculation part which calculates the lowest value among the values acquired at the plurality of acquisition times as the value of the evaluation target item, and each evaluation target item calculated by the calculation unit And a control unit that generates human resource information having one evaluation item value for each employee.

According to the present invention, the value of one evaluation item is calculated based on one calculation method indicated by the score calculation information from the values for each of a plurality of evaluation target items acquired at a plurality of acquisition times. By generating human resource information having one evaluation item value for each employee, the accuracy of human resource search can be improved.

It is a block diagram which shows the function structure of the personnel information management apparatus in embodiment which concerns on this invention. It is a figure which shows the structure of an employee information table. It is a figure which shows the structure of an employee log | history information table. It is a figure which shows the structure of a score calculation information table. It is a figure which shows the structure of another score calculation information table. It is a figure which shows the structure of the personnel information table before score calculation processing execution. It is a figure which shows the structure of a deemed score information table. It is a flowchart which shows a score calculation information registration process. It is a flowchart which shows the score calculation information registration process of the continuation of FIG. It is a figure which shows the screen at the time of the edit registration of a score calculation information registration screen. It is a figure which shows the content of the pull-down menu of a score calculation information registration screen. It is a figure which shows the screen at the time of the new registration of a score calculation information registration screen. It is a flowchart which shows a score calculation process. It is a flowchart which shows the 1st score calculation process in a score calculation process. It is a flowchart which shows the 2nd score calculation process in a score calculation process. It is a flowchart which shows the 2nd score calculation process of the continuation of FIG. It is a figure which shows the personnel information table after score calculation processing execution. It is a flowchart which shows a human resource search process. FIG. 19 is a flowchart showing human resource search processing continued from FIG. 18. FIG. (A) is a figure which shows the 1st search condition screen. (B) is a figure which shows the 1st search result screen corresponding to a 1st search condition screen. (A) is a figure which shows the 2nd search condition screen. (B) is a figure which shows the 2nd search result screen corresponding to a 2nd search condition screen.

  Embodiments according to the present invention will be described below in detail with reference to the accompanying drawings. The present invention is not limited to the illustrated example.

  First, the apparatus configuration of the present embodiment will be described with reference to FIG. FIG. 1 shows a functional configuration of human resource information management apparatus 10 in the present embodiment.

  In the present embodiment, the human resource information management apparatus 10 is an apparatus that manages human resource information of employees belonging to a certain company C1. However, the human resource information management apparatus 10 is not limited to this configuration, and may be configured to manage human resource information of members belonging to an arbitrary organization or group. For this reason, “employees” are not limited to employees belonging to the company, but include personnel such as members belonging to organizations and groups.

  As shown in FIG. 1, a human resource information management apparatus 10 includes a CPU (Central Processing Unit) 11 as a control unit, a score calculation information input unit, an input unit 12 as a search condition input unit, and a RAM (Random Access memory). 13, an output unit 14, a storage unit 15, and a communication unit 16, and each unit is electrically connected via a bus 17.

  The CPU 11 controls each unit of the human resource information management apparatus 10. The CPU 11 reads a designated program from the various programs stored in the storage unit 15, expands it in the RAM 13, and executes various processes in cooperation with the expanded program.

  Further, the CPU 11 creates (updates) the score calculation information table 60 based on the information input from the input unit 12 according to the score calculation information registration program, and stores it in the storage unit 15. Further, the CPU 11 calculates the value of the evaluation item from the employee history information table 40 based on the score calculation information table 60 in accordance with the score calculation program, and the human resource information table 80 having the calculated evaluation item value for each employee. Is created (updated) and stored in the storage unit 15. Further, the CPU 11 searches the human resource information table 80 based on the human resource search condition input from the input unit 12 according to the human resource search program, and displays information on the searched human resources on the output unit 14.

  The employee history information table 40 is an information table having values of evaluation items acquired at a plurality of times for each employee. The score calculation information table 60 is an information table having calculation contents from the history information (evaluation item value) of the employee history information table 40 to the evaluation item value for search. The personnel information table 80 is an information table for searching for personnel. These information tables will be described later in detail.

  The RAM 13 is a volatile memory, and has a work area for temporarily storing various programs, various data, and the like. In particular, among all work areas in the RAM 13, work areas used for processing such as the score calculation information registration process are designated as work areas 21 to 26.

  The input unit 12 includes a key group having various input keys such as a numeric keypad and a character input key, a pointing device, a touch panel provided on the display of the output unit 14, and the like, and is input from the key group, the pointing device, the touch panel, and the like. The input signal is output to the CPU 11.

  The output unit 14 is configured by an LCD (Liquid Crystal Display), an ELD (Electro Luminescent Display), or the like, and displays various display information according to a signal input from the CPU 11.

  The storage unit 15 is composed of a magnetic or optical recording medium such as a flash memory or an HDD (Hard Disc Drive), or a semiconductor non-volatile memory. It is a portable recording medium that can be freely mounted. In the storage unit 15, various programs executed by the CPU 11 and various data used in these programs are stored in advance.

  Specifically, the storage unit 15 stores various data of an employee information table 30, an employee history information table 40, a score calculation information table 60, a human resource information table 80, and a deemed score information table 100. The storage unit 15 stores various programs such as a score calculation information registration program 151, a score calculation program 152, and a human resource search program. Various data in the storage unit 15 will be described later in detail.

  The communication unit 16 includes a wireless communication circuit and an antenna, and a communication interface for performing wired communication. The communication unit 16 is connected to a communication network such as a wireless / wired LAN or the Internet (not shown) and is connected to the communication network. Data is transmitted / received in response to an instruction from the CPU 11. The human resource information management apparatus 10 accesses the database D provided by another apparatus through data communication via the communication unit 16, acquires various data (various tables) from the database D, and stores it in the storage unit 15. Remember. In the present embodiment, an example in which various tables are stored in the storage unit 15 will be described, but the present invention is not limited to this. The human resource information management apparatus 10 may be configured such that these various tables are stored, and the various tables are appropriately read from the database D via the communication unit 16 and used.

  Next, various tables stored in the storage unit 15 will be described with reference to FIGS. FIG. 2 shows the configuration of the employee information table 30. FIG. 3 shows the configuration of the employee history information table 40. FIG. 4 shows the configuration of the score calculation information table 60. FIG. 5 shows the configuration of the score calculation information table 60A. FIG. 6 shows the configuration of the human resource information table 80 before execution of the score calculation process. FIG. 7 shows the configuration of the deemed score information table 100.

  The employee information table 30 is basic information of all employees belonging to the company C1. As shown in FIG. 2, the employee information table 30 includes items of an employee number 31, a name 32, a gender 33, an affiliation 34, a job title 35, and an entry year 36. The employee information table 30 uses the employee number 31 as a primary key.

  The employee number 31 is an identification number for identifying an employee. The name 32 is the name of the employee with the employee number 31. The gender 33 is the gender of the employee of the employee number 31. Affiliation 34 is the department name of the employee of employee number 31. The post 35 is the post of the employee with the employee number 31. The hire year 36 is the hire year of the employee of the employee number 31.

  The employee history information table 40 is a table having evaluation item values (scores) as already acquired history information of employees belonging to the company C1. The history information of the employee history information table 40 is acquired for a plurality of years or a single year. Further, it is assumed that the history information in the employee history information table 40 is always acquired at least in the employee's entry year.

  As shown in FIG. 3, the employee history information table 40 includes an employee number 41, a data acquisition year 42, a sense of responsibility 43, a leadership 44, an aggressiveness 45, a cooperativeness 46, a planning ability 47, and a development ability. 48, planning and development capability 49, creativity 50, flexibility 51, boldness 52, stress tolerance 53, and "-" 54. The employee history information table 40 uses the employee number 41 as a main key.

  The employee number 41 is an identification number for identifying an employee. The data acquisition year 42 is a data acquisition year of the history information (value of the evaluation item) of the employee of the employee number 41. Responsibility 43 to stress tolerance 53 are numerical values (scores) of the evaluation items of the respective evaluation item names. The number and name of each evaluation item name are not limited to the sense of responsibility 43 to the stress tolerance 53. The planning and development capability 49 is an evaluation item that includes both planning capability and development capability.

  “−” 54 is displayed when no item name used as a calculation item is specified in the score calculation information table 60 of FIG. 4 (when the content of the calculation item n in FIG. 4 is “−”). This item is used to simplify the calculation process.

  The score calculation information table 60 is a table of information that defines a method of calculating the numerical value (score) of the evaluation items of employees belonging to the company C1. The evaluation items of the score calculation information table 60 can be set and registered freely by the user.

  As shown in FIG. 4, the score calculation information table 60 includes a processing section 61, an evaluation item NO 62, an evaluation item name 63, a calculation priority order 64, a calculation object 65, a calculation setting 66, and a calculation item 67 ( Calculation item 1), weight 68 (weight 1), calculation item 69 (calculation item 2), weight 70 (weight 2), calculation item 71 (calculation item 3), weight 72 (weight 3), It has items of adjustment value 73 and data accuracy 74.

  The processing section 61 is a processing section in the score calculation process and takes a value of 1 or 2. When the processing category 61 is 1, the value of the evaluation item of the evaluation item NO62 is calculated from the history information of a single year. When the processing division 61 is 2, the evaluation item value of the evaluation item NO 62 is calculated from the history information of a plurality of years.

  Evaluation item NO62 is an identification number of the evaluation item. The evaluation item name 63 is the name of the evaluation item of the evaluation item NO62. Assume that the evaluation item name 63 has, for example, a sense of responsibility, leadership, planning ability, development ability, creativity, creative growth, flexibility, boldness, and stress tolerance.

  The calculation priority order 64 is information indicating the calculation priority when there are a plurality of score calculation methods for the same evaluation item. The calculation target 65 is a calculation target range (year) of history information in the evaluation calculation of the evaluation item NO62. The calculation setting 66 indicates the type of data processing in the evaluation item calculation of the evaluation item NO62. The calculation setting 66 includes adjustment value addition, assumed score, growth rate, average value, maximum value, minimum value, and the like.

  The calculation item 67 is the name of the evaluation item to be calculated in calculating the value of the evaluation item of the evaluation item NO62. The weight 68 is a weight of the calculation item 67 in all weights (100%) in the calculation of the value of the evaluation item of the evaluation item NO62. The calculation item 69 is the name of the evaluation item to be calculated in calculating the value of the evaluation item of the evaluation item NO62. The weight 70 is the weight of the calculation item 69 in all the weights in the calculation of the value of the evaluation item of the evaluation item NO62. The calculation item 71 is the name of the evaluation item to be calculated in calculating the value of the evaluation item of the evaluation item NO62. The weight 72 is a weight of the calculation item 71 in all weights in the calculation of the value of the evaluation item of the evaluation item NO62.

  The adjustment value 73 is an adjustment value when the calculation setting 66 is adjustment value addition. The data accuracy 74 is the data accuracy of the value of the evaluation item after calculation of the value of the evaluation item of the evaluation item NO62. For example, the data accuracy 74 is 100% when the value of the evaluation item in the employee history information table 40 itself is used as the value of the evaluation item after calculation. The data accuracy 74 is lowered from 100% by a calculation method using values of a plurality of evaluation items, a calculation method for applying processing, or the like.

  The score calculation information table 60 </ b> A in FIG. 5 is an example of another score calculation information table that is different in content from the score calculation information table 60. The score calculation information table 60A is an example in which the evaluation item name 63 includes leadership, aggressiveness, planning and development ability, willingness to challenge, creativity, creativity growth, flexibility, boldness, and stress tolerance.

  The human resource information table 80 is a table of evaluation item values for all employees of the company C1. The personnel information table 80 is a table to be searched for the personnel search process.

  As shown in FIG. 6, the personnel information table 80 includes an employee number 81, a sense of responsibility 82, data accuracy 83 (data accuracy 1), leadership 84, data accuracy 85 (data accuracy 2), and planning ability 86. Data accuracy 87 (data accuracy 3), development capability 88, data accuracy 89 (data accuracy 4), creativity 90, data accuracy 91 (data accuracy 5), creativity growth level 92, data Accuracy 93 (data accuracy 6), flexibility 94, data accuracy 95 (data accuracy 7), boldness 96, data accuracy 97 (data accuracy 8), stress tolerance 98, data accuracy 99 (data accuracy) 9).

  The employee number 81 is a number for identifying an employee. The sense of responsibility 82 is a numerical value (score) of the evaluation item of the sense of responsibility. Data accuracy 83 is the data accuracy of responsibility 82. Similar to the combination of sense of responsibility 82 and data precision 83, leadership 84 and data precision 85, planning ability 86 and data precision 87, development ability 88 and data precision 89, creativity 90 and data precision 91, and creativity Numerical values (scores) of evaluation item names of growth degree 92 and data accuracy 93, flexibility 94 and data accuracy 95, boldness 96 and data accuracy 97, stress tolerance 98 and data accuracy 99, and the data accuracy There are combinations.

  The deemed score information table 100 is a table of reference information used for calculating the value of the evaluation item when the calculation setting 66 is a deemed score. As shown in FIG. 7, the deemed grade information table 100 includes items of a data acquisition year 101 and a deemed grade 102.

  The data acquisition year 101 is the acquisition year of the acquisition data (history information) for which the value of the evaluation item is calculated. The deemed score 102 is a value of a deemed score corresponding to the data acquisition year 101.

  Next, the operation of the human resource information management apparatus 10 will be described with reference to FIGS. The processes in the human resource information management apparatus 10 are executed in the order of a score calculation information registration process, a score calculation process, and a human resource search process.

  First, the score calculation information registration process will be described with reference to FIGS. The score calculation information registration process is a process for creating and registering the score calculation information table 60. FIG. 8 shows the score calculation information registration process. FIG. 9 shows the score calculation information registration process continued from FIG. FIG. 10 shows a screen at the time of editing registration of the score calculation information registration screen 200. FIG. 11 shows the contents of the pull-down menu on the score calculation information registration screen 200. FIG. 12 shows a screen at the time of new registration of the score calculation information registration screen 200.

  In the human resource information management apparatus 10, for example, a score calculation that is read from the storage unit 15 and appropriately expanded in the RAM 13 is triggered by the input of an execution instruction of the score calculation information registration process from the user via the input unit 12. A score calculation information registration process is executed in cooperation with the information registration program 151 and the CPU 11.

  As shown in FIGS. 8 and 9, first, the evaluation score NO 62 and the evaluation item name of the score calculation information table 60 displayed on the output unit 14 and stored in the storage unit 15 are displayed in the initial grade calculation information registration screen 200. 63 is read out and stored in the work area 21 of the RAM 13 (step S11). The score calculation information registration screen 200 displayed in step S11 is a screen on which various information is not input in the score calculation information registration screen 200 shown in FIG. Then, duplicate records are excluded from the work area 21 and stored in the work area 22 of the RAM 13 (step S12).

  Then, a registration type selection input from the user is accepted through the input unit 12 by the registration type column 210 of the score calculation information registration screen 200 (step S13). In step S13, new or edited is input as the registration type by the check button in the registration type column 210. When the registration type is new, information on evaluation items is newly created and registered as a record in the score calculation information table 60. When the registration type is editing, the existing record of the score calculation information table 60 is edited and registered. Then, it is determined whether or not the registration type selected in step S13 is editing (step S14).

  When the registration type is edit (step S14; YES), the evaluation item name of the work area 22 is set in the pull-down menu of the evaluation item name column 221 of the evaluation item column 220, and is changed to a selectable state (step S15). . For example, the evaluation item name in the pull-down menu in the evaluation item name column 221 shown in FIG. 11 can be selected. Then, the selection input of the evaluation item name from the user is accepted via the input unit 12 by the pull-down menu of the evaluation item name column 221 set in step S15 (step S16).

  Then, the evaluation item NO corresponding to the evaluation item name selected in step S16 is read from the work area 22 and set in the evaluation item NO column 222 of the evaluation item column 220 (step S17). Then, the evaluation item name selected in step S16 is stored in the variable HNAME (step S18). The variable HNAME is stored in the storage area of the RAM 13. Then, a record satisfying the evaluation item name 63 = HNAME is read from the score calculation information table 60 stored in the storage unit 15 and stored in the work area 23 of the RAM 13 (step S19).

  Then, the contents of the work area 23 are displayed in the score calculation information registration screen 200 (step S20). Specifically, the processing classification, calculation priority, calculation target, calculation setting, calculation item 1, weight 1, calculation item 2, weight 2, calculation item 3, weight 3, adjustment value, and data accuracy of the work area 23 are In order, the processing category column 240, the calculation priority column 230, the calculation target column 250, the calculation setting column 260, the calculation item column 270 (the calculation item column 272 of the NO column 271 (1-3) and the weight) of the score calculation information registration screen 200 Column 273), adjustment value column 280, and data accuracy column 290 are set and displayed.

  Then, pull-down menus of the processing category column 240, the calculation priority column 230, the calculation target column 250, the calculation setting column 260, the calculation item column 270 (the calculation item column 272 and the weight column 273 of the NO column 271 (1-3)) are used. Then, after the editing, the processing section, calculation priority order, calculation setting, calculation target, calculation item NO (1-3), calculation item, and weight selection input from the user are accepted via the input unit 12 (step S21). . For example, it is selected and input from the contents of each pull-down menu shown in FIG.

  Then, it is determined whether or not the calculation setting column 260 of the calculation priority column 230 = 1 is adjustment value addition (step S22). When the calculation setting column 260 in the calculation priority column 230 = 1 is the adjustment value addition (step S22; YES), the adjustment from the user is performed via the input unit 12 by the adjustment value column 280 in the calculation priority column 230 = 1. Value input is accepted (step S23). Then, it is determined whether or not the calculation setting field 260 of the calculation priority order field 230 = 2 is adjustment value addition (step S24). When the calculation setting field 260 of the calculation priority order field 230 = 1 is not the adjustment value addition (step S22; NO), the process proceeds to step S24.

  When the calculation setting column 260 of the calculation priority column 230 = 2 is the adjustment value addition (step S24; YES), the adjustment from the user is performed via the input unit 12 by the adjustment value column 280 of the calculation priority column 230 = 2. Value input is accepted (step S25). Then, the data accuracy selection input from the user is accepted via the input unit 12 by the pull-down menu in the data accuracy column 290 (step S26). For example, it is selected and input from the contents of the pull-down menu in the data accuracy column 290 shown in FIG. When the calculation setting column 260 of the calculation priority column 230 = 2 is not the adjustment value addition (step S24; NO), the process proceeds to step S26.

  Then, pressing input of the registration button 300 on the score calculation information registration screen 200 from the user is accepted via the input unit 12 (step S27). The score information set on the score calculation information registration screen 200 (evaluation item name, evaluation item NO, processing category, calculation priority order, calculation target, calculation setting, calculation item 1, weight 1, calculation item 2, weight 2, Calculation item 3, weight 3, adjustment value, data accuracy) are stored in the work area 24 of the RAM 13 (step S28).

  Then, the record of the evaluation item name 63 = HNAME in the score calculation information table 60 stored in the storage unit 15 is read and updated with the contents of the work area 24 (step S29), and the score calculation information registration process is completed. . Specifically, the evaluation item name, evaluation item NO, processing category, calculation priority order, calculation target, calculation setting, calculation item 1, weight 1, calculation item 2, weight 2, calculation item 3, weight 3 of the work area 24 The evaluation item name 63, the evaluation item NO 62, the processing item 61, the calculation priority order 64, the calculation target 65, the calculation setting 66, the calculation item 67, the weight 68, and the calculation of the evaluation value calculation information table 60 in order of the adjustment value and data accuracy. The item 69, the weight 70, the calculation item 71, the weight 72, the adjustment value 73, and the data accuracy 74 are updated.

  If the registration type is new (step S14; NO), the evaluation item name field 221 of the evaluation item field 220 is changed to an input enabled state (step S30). Then, the evaluation item name column 221 accepts an input of the evaluation item name from the user via the input unit 12 (step S31). For example, as shown in FIG. 12, new management power is input to the evaluation item name column 221.

  Then, the maximum value of the evaluation item NO in the work area 22 is stored in the variable MAXNO (step S32). The variable MAXNO is stored in the storage area of the RAM 13. Then, the value of MAXNO + 1 is set and displayed in the evaluation item NO column 222 of the evaluation item column 220 (step S33). Steps S34 to S41 are the same as steps S21 to S28.

  After execution of step S41, the record of the work area 24 is added to the score calculation information table 60 stored in the storage unit 15 (step S42). Specifically, the evaluation item name, evaluation item NO, processing category, calculation priority order, calculation target, calculation setting, calculation item 1, weight 1, calculation item 2, weight 2, calculation item 3, weight 3 of the work area 24 The adjustment value and the data accuracy are, in order, evaluation item name 63, evaluation item NO62, processing category 61, calculation priority order 64, calculation target 65, calculation setting 66, calculation item 67, weight 68, calculation in the score calculation information table 60. Records including item 69, weight 70, calculation item 71, weight 72, adjustment value 73, and data accuracy 74 are added.

  Then, the evaluation item name 63 and the data accuracy 74 of the record added in step S42 are added to the column of the human resource information table 80 stored in the storage unit 15 (step S29), and the evaluation calculation information registration process ends. . For example, the management capability of the evaluation items in FIG. 12 and 100% of the data accuracy are added to the column of the human resource information table 80.

  Next, the score calculation process will be described with reference to FIGS. The score calculation process is a process of updating information in the human resource information table 80 using the score calculation information table 60 or the like. FIG. 13 shows the score calculation process. FIG. 14 shows a first score calculation process in the score calculation process. FIG. 15 shows a second score calculation process in the score calculation process. FIG. 16 shows a second score calculation process continued from FIG. FIG. 17 shows the human resource information table 80A after the score calculation process is executed.

  In the human resource information management apparatus 10, for example, a score calculation program 152 that is read from the storage unit 15 and appropriately expanded in the RAM 13 is triggered by the input of a score calculation process execution instruction from the user via the input unit 12. The score calculation process is executed in cooperation with the CPU 11.

  As shown in FIG. 13, first, one record that has not been read out of the employee information table 30 stored in the storage unit 15 is read out (step S51). Then, one record read in step S51 is stored in the work area 21 of the RAM 13 (step S52). Then, the employee number of the work area 21 is assigned to the variable NO (step S53). The variable NO is stored in the storage area of the RAM 13.

  And the record of employee number 81 = NO of the human resource information table 80 memorize | stored in the memory | storage part 15 is read (step S54). The record read in step S54 is stored in the work area 22 of the RAM 13 (step S55). And the 1st score calculation process which performs the score calculation regarding process classification = 1 is performed (Step S56). Information on the score calculated in the first score calculation process is stored in the work area 22. The first score calculation process will be described later in detail with reference to FIG.

  And the 2nd score calculation process which calculates the score regarding process classification = 2 is performed (step S57). Information on the score calculated in the second score calculation process is stored in the work area 22. The second score calculation process will be described later in detail with reference to FIGS. 15 and 16.

  Then, the record of employee number 81 = NO in the human resource information table 80 stored in the storage unit 15 is updated with the contents of the work area 22 (step S58). And it is discriminate | determined whether 1 record read by the last step S51 is the last record of the employee information table 30 (step S59). If it is not the last record (step S59; NO), the process proceeds to step S51. If it is the last record (step S59; YES), the score calculation process ends.

  With reference to FIG. 14, the first score calculation process in step S56 in the score calculation process shown in FIG. 13 will be described. First, the record of the processing section 61 = 1 in the score calculation information table 60 stored in the storage unit 15 is read (step S61). Then, the record read in step S61 is stored in the work area 23 of the RAM 13 (step S62).

  Then, one record that has not been read out of the work area 23 is read out (step S63). The record read in step S63 is stored in the work area 24 of the RAM 13 (step S64).

  And the record which is the calculation object of employee number 41 = NO of the employee history information table 40 memorize | stored in the memory | storage part 15 and data acquisition year 42 = work area 24 is read (step S65). The record read in step S65 is stored in the work area 25 of the RAM 13 (step S66).

Then, the numerical value of the column in the work area 25 in which the column name (evaluation item name) matches the calculated item 1 in the work area 24 is substituted into the variable D1, and the work area 25 in which the column name matches the calculated item 2 in the work area 24. Is substituted for the variable D2, and the column number of the work area 25 whose column name matches the calculation item 3 of the work area 24 is substituted for the variable D3 (step S67). When the calculation item 2 (calculation item 3) is “−”, the numerical value of the evaluation item “−” in the work area 25 (the numerical value 0 in “−” 54 in FIG. 3) is the variable D2 (variable D3). Is assigned to Further, in the case of corresponding to an evaluation item in which “−” is set as a numerical value as in the development capability 48 of FIG. 3, “−” of the development capability in the work area 25 is assigned to the variable D1, D2, or D3. The
Here, the variables D1, D2, and D3 are stored in the storage area of the RAM 13, respectively. .

  Then, it is determined whether or not at least one of the variables D1, D2, and D3 is “−” (step S68). When at least one of the variables D1, D2, D3 is not “−” (step S68; NO), the score can be calculated, and the value of the weight 1 of the variable D1 × the work area 24 is substituted into the variable D1, and the variable D2 The value of the weight 2 in the work area 24 is assigned to the variable D2, the value of the variable D3 x the weight 3 in the work area 24 is assigned to the variable D3, and the value of D1 + D2 + D3 is assigned to the variable DT (step S69). The variable DT is stored in the storage area of the RAM 13.

  And it is discriminate | determined whether the calculation setting of the work area 24 is adjustment value addition (step S70). When the calculation setting is adjustment value addition (step S70; YES), the adjustment value of DT + work area 24 is substituted into the variable DT (step S71). Then, the value of the variable DT is assigned to the column of the work area 22 whose column name matches the evaluation item name of the work area 24, and the data accuracy m of the work area 22 (m: the numerical value of the evaluation item NO column of the work area 24) ) Is substituted with the data accuracy value of the work area 24 (step S72). When the calculation setting is not adjustment value addition (step S70; NO), the process proceeds to step S72.

  Then, it is determined whether or not one record read in the immediately preceding step S63 is the last record in the work area 23 (step S73). If it is not the last record (step S73; NO), the process proceeds to step S63. If it is the last record (step S73; YES), the first score calculation process ends. When at least one of the variables D1, D2, and D3 is “−” (step S68; YES), since the score cannot be calculated, the process proceeds to step S73.

  With reference to FIG.15 and FIG.16, the 2nd score calculation process of step S57 in the score calculation process shown in FIG. 13 is demonstrated. First, the record of the processing section 61 = 2 in the score calculation information table 60 stored in the storage unit 15 is read (step S81). Then, the record read in step S81 is stored in the work area 23 of the RAM 13 (step S82).

  Then, one record that has not been read out of the work area 23 is read out (step S83). Then, the record read in step S83 is stored in the work area 24 of the RAM 13 (step S84).

  And it is discriminate | determined whether the calculation setting of the work area 24 is all cases (step S85). When the calculation setting of the work area 24 is all cases (step S85; YES), the record of the employee number 41 = NO in the employee history information table 40 stored in the storage unit 15 is read (step S86). The record read in step S86 is stored in the work area 25 of the RAM 13 (step S87).

  When the calculation setting of the work area 24 is not all cases (step S85; NO), the employee number 41 of the employee history information table 40 stored in the storage unit 15 = NO and the data acquisition year = the calculation target of the work area 24 A record is read (step S88). The record read in step S88 is stored in the work area 25 of the RAM 13 (step S89).

  Then, it is determined whether or not the calculation setting of the work area 24 is a deemed score (step S90). When the calculation setting of the work area 24 is regarded as a score (step S90; YES), the record having the maximum data acquisition year is read from the work area 25 (step S91). Then, the record read in step S91 is stored in the work area 26 of the RAM 13 (step S92).

  Then, a record in which the data acquisition year 101 = the data acquisition year of the work area 26 is read from the deemed score information table 100 stored in the storage unit 15 (step S93). Then, the deemed score 102 of the record read in step S93 is substituted into the variable MH (step S94). The variable MH is stored in the storage area of the RAM 13.

  Then, the numerical value of the column of the work area 26 having the column name that matches the calculation item 1 of the work area 24 is substituted into the variable D1 (step S95). Then, the value of D1 × MH is substituted for the variable DT (step S96). Then, the value of the variable DT is assigned to the column of the work area 22 whose column name matches the evaluation item name of the work area 24, and the data accuracy m of the work area 22 (m: the numerical value of the evaluation item NO column of the work area 24) ) Is substituted with the data accuracy value of the work area 24 (step S97).

  Then, it is determined whether or not one record read in the immediately preceding step S83 is the last record in the work area 23 (step S98). If it is not the final record (step S98; NO), the process proceeds to step S83. If it is the last record (step S98; YES), the second score calculation process ends.

  When the calculation setting of the work area 24 is not regarded as a grade (step S90; NO), it is determined whether or not the calculation setting of the work area 24 is a growth degree (step S99). The degree of growth is the difference between the values of the evaluation items from the year of entry to the maximum data acquisition year. When the calculation setting of the work area 24 is the growth degree (step S99; YES), the employee number 41 of the employee history information table 40 stored in the storage unit 15 = NO, and the data acquisition year = year of entry of the work area 21 Is read (step S100).

  Then, the numerical value of the column whose column name matches the calculation item 1 of the work area 24 is substituted into the variable D1 from the record read in step S100 (step S101). Then, the record having the maximum data acquisition year is read from the work area 25 (step S102). Then, the numerical value of the column whose column name matches the calculation item 1 of the work area 24 is substituted into the variable D2 from the record read in step S102 (step S103).

  Then, it is determined whether or not the variable D2 in step S103 is different from the variable D1 in step S101 (step S104). When D2 ≠ D1 (step S104; YES), the value of D2-D1 is substituted into the variable DT (step S105), and the process proceeds to step S97. When D2 = D1 (step S104; NO), the process proceeds to step S98.

  When the calculation setting of the work area 24 is not the growth degree (step S99; NO), it is determined whether or not the calculation setting of the work area 24 is an average value (step S106). When the calculation setting of the work area 24 is an average value (step S106; YES), the average value of the numerical value of the column of the work area 25 whose column name matches the calculation item 1 of the work area 24 is calculated and substituted into the variable DT. (Step S107), the process proceeds to step S97.

  When the calculation setting of the work area 24 is not the average value (step S106; NO), it is determined whether or not the calculation setting of the work area 24 is the maximum value (step S108). When the calculation setting of the work area 24 is the highest value (step S108; YES), the highest numerical value of the column of the work area 25 whose column name matches the calculation item 1 of the work area 24 is extracted and substituted into the variable DT. (Step S109), the process proceeds to step S97.

  If the calculation setting of the work area 24 is not the highest value (step S108; NO), the calculation setting of the work area 24 is the lowest value, and the column value of the work area 25 whose column name matches the calculation item 1 of the work area 24 Is extracted and substituted into the variable DT (step S110), and the process proceeds to step S97.

  For example, the personnel information table 80 is updated to the personnel information table 80A shown in FIG. 17 by executing the score calculation process. Here, a specific example of the score calculation process for each evaluation item in the human resource information table 80A will be described.

  First, an evaluation item name corresponding to the employee number 1001 corresponding to the record R21 of the employee information table 30 and the processing classification 1 will be described. When the evaluation item name is a sense of responsibility, a record R61 of the score calculation information table 60 shown in FIG. 4 is stored in the work area 24 in steps S63 and S64 of FIG. 14, the record R42 of the employee history information table 40 whose data acquisition year 42 is 2009 is stored in the work area 25 in steps S65 and S66 of FIG. Then, in steps S67 to S69 in FIG. 14, DT = D1 (sense of responsibility) + D2 + D3 = 80 × 100% + 0 × 0% + 0 × 0% = 80 is calculated. In step S58 of FIG. 13, the DT = 80 and the data accuracy 74 = 100% are the sense of responsibility 82 and the data accuracy 83 (data accuracy 1 (evaluation item NO = 1 for sense of responsibility)) of the human resource information table 80A shown in FIG. ).

  When the evaluation item name is leadership, the record R62 of the score calculation information table 60 shown in FIG. 4 is stored in the work area 24 in steps S63 and S64 of FIG. 14, the record R42 of the employee history information table 40 whose data acquisition year 42 is 2009 is stored in the work area 25 in steps S65 and S66 of FIG. Then, in steps S67 to S69 of FIG. 14, DT = D1 (control power) + D2 (aggressiveness) + D3 (cooperation) = 80 × 50% + 70 × 30% + 60 × 20% = 73 is calculated. In step S58 in FIG. 13, the DT = 73 and the data accuracy 74 = 100% correspond to the leadership 84 and data accuracy 85 (data accuracy 2 (leadership evaluation item NO ==) of the human resource information table 80A shown in FIG. 2)).

  When the evaluation item name is planning ability, the record R63 of the score calculation information table 60 shown in FIG. 4 is stored in the work area 24 in steps S63 and S64 of FIG. 14, the record R42 of the employee history information table 40 whose data acquisition year 42 is 2009 is stored in the work area 25 in steps S65 and S66 of FIG. Then, in steps S67 to S69 of FIG. 14, DT = D1 (planning and development capability) + D2 + D3 = 80 × 50% + 0 × 0% + 0 × 0% = 40 is calculated. In step S71 in FIG. 13, DT = 40 + 25 is calculated.

  Corresponding to the calculation priority order = 1, the record R64 of the score calculation information table 60 shown in FIG. 4 is stored in the work area 24 in steps S63 and S64 of FIG. 14, the record R42 of the employee history information table 40 whose data acquisition year 42 is 2009 is stored in the work area 25 in steps S65 and S66 of FIG. Then, in steps S67 to S69 of FIG. 14, DT = D1 (planning ability) + D2 + D3 = 80 × 100% + 0 × 0% + 0 × 0% = 80 is calculated. In step S58 in FIG. 13, the DT = 80 and the data accuracy 74 = 100% correspond to the planning capability 86 and the data accuracy 87 (data accuracy 3 (planning capability evaluation item NO ==) of the personnel information table 80A shown in FIG. 3)). That is, the calculation result of calculation priority order = 1 is reflected in the human resource information table 80A in preference to the calculation result of calculation priority order = 2.

  When the evaluation item name is development capability, the record R65 of the score calculation information table 60 shown in FIG. 4 is stored in the work area 24 in steps S63 and S64 of FIG. 14, the record R42 of the employee history information table 40 whose data acquisition year 42 is 2009 is stored in the work area 25 in steps S65 and S66 of FIG. Then, in steps S67 to S69 of FIG. 14, DT = D1 (planning and development capability) + D2 + D3 = 80 × 50% + 0 × 0% + 0 × 0% = 40 is calculated. In step S72 of FIG. 13, DT = 40 + 25 = 65 is calculated, and the data accuracy is 50%.

  Corresponding to the calculation priority order = 1, the record R66 of the score calculation information table 60 shown in FIG. 4 is stored in the work area 24 in steps S63 and S64 of FIG. 14, the record R42 of the employee history information table 40 whose data acquisition year 42 is 2009 is stored in the work area 25 in steps S65 and S66 of FIG. In step S67 of FIG. 14, D1 (development capability), D2, and D3 are calculated. However, in step S68 of FIG. 14, DT is not calculated because D1 = “−”. Then, in step S58 of FIG. 13, DT = 65 and data accuracy 74 = 50% are the development capability 88 and data accuracy 89 (data accuracy 4 (development capability evaluation item NO = 4) of the human resource information table 80A shown in FIG. )). That is, since calculation priority order = 1 is not calculated, the calculation result of the next priority order calculation priority order = 2 is updated to the human resource information table 80A.

  Next, the evaluation item name corresponding to the employee number 1001 and the process classification 2 will be described. When the evaluation item name is creativity, the record R67 of the score calculation information table 60 shown in FIG. 4 is stored in the work area 24 in steps S83 and S84 of FIG. Then, in steps S86 and S87 in FIG. 15, the record R43 of the employee history information table 40 with all data acquisition years 42 is stored in the work area 25. In step S90 of FIG. 15, the calculation setting = deemed rating, and in steps S91 to S97, the record R101 corresponding to 2009 is read from the deemed score information table 100 of FIG. 7, and DT = D1 (creativity) ) × MH = 80 × 100% = 80 is calculated. In step S58 in FIG. 13, the DT = 80 and the data accuracy 74 = 80% are the creativity 90 and the data accuracy 91 (data accuracy 5 (creativity evaluation item NO = 5)) of the human resource information table 80A. Stored.

  When the evaluation item name is the creativity growth level, the record R68 of the score calculation information table 60 shown in FIG. 4 is stored in the work area 24 in steps S83 and S84 of FIG. Then, in steps S86 and S87 in FIG. 15, the record R43 of the employee history information table 40 with all data acquisition years 42 is stored in the work area 25. In step S99 in FIG. 16, calculation setting = growth degree, and in steps S100 to S105, DT = D2 (2009 creativity) corresponding to the creativity of records R41 and R42 in the employee history information table 40. -D1 (creativity in the year of entry) = 80-50 = 30 is calculated. In step S58 of FIG. 13, the DT = 30 and the data accuracy 74 = 100% correspond to the creativity growth level 92 and the data accuracy 93 (data accuracy 6 (evaluation item NO of the creativity growth level NO = 6)).

  When the evaluation item name is flexible, the record R69 of the score calculation information table 60 shown in FIG. 4 is stored in the work area 24 in steps S83 and S84 of FIG. Then, in steps S86 and S87 in FIG. 15, the record R43 of the employee history information table 40 with all data acquisition years 42 is stored in the work area 25. In step S106 in FIG. 16, calculation setting = average value, and in step S107, DT = average flexibility value = (50 + 60 + 70 + 80) / 4 = 65 is calculated. In step S58 of FIG. 13, the DT = 65 and the data accuracy 74 = 80% are converted into the flexibility 94 and the data accuracy 95 (data accuracy 7 (flexibility evaluation item NO = 7)) of the human resource information table 80A. Stored.

  When the evaluation item name is bold, the record R70 of the score calculation information table 60 shown in FIG. 4 is stored in the work area 24 in steps S83 and S84 of FIG. Then, in steps S86 and S87 in FIG. 15, the record R43 of the employee history information table 40 with all data acquisition years 42 is stored in the work area 25. In step S108 of FIG. 16, calculation setting = highest value, and in step S109, DT = highest value of boldness = 80 (2009) is extracted. In step S58 of FIG. 13, the DT = 80 and the data accuracy 74 = 80% are converted to the boldness 96 and the data accuracy 97 (data accuracy 8 (the boldness evaluation item NO = 8)) of the personnel information table 80A. Stored.

  When the evaluation item name is stress tolerance, the record R71 of the score calculation information table 60 shown in FIG. 4 is stored in the work area 24 in steps S83 and S84 of FIG. Then, in steps S86 and S87 in FIG. 15, the record R43 of the employee history information table 40 with all data acquisition years 42 is stored in the work area 25. In step S108 of FIG. 16, calculation setting = minimum value, and in step S110, DT = minimum value of stress tolerance = 50 (2000) is extracted. In step S58 of FIG. 13, the DT = 50 and the data accuracy 74 = 80% are the stress tolerance 98 and the data accuracy 99 (data accuracy 9 (stress tolerance evaluation item NO = 9)) of the human resource information table 80A. Stored.

  Next, the human resource search process will be described with reference to FIGS. The human resource search process is a process of searching for a human resource using a human resource information table. Here, the human resource information table 80A updated by the score calculation process is used. FIG. 18 shows a human resource search process. FIG. 19 shows a human resource search process continued from FIG. FIG. 20A shows a search condition screen 400. FIG. 20B shows a search result screen 500 corresponding to the search condition screen 400. FIG. 21A shows a search condition screen 400A. FIG. 21B shows a search result screen 500A corresponding to the search condition screen 400A.

  In the human resource information management apparatus 10, for example, a human resource search program 153 that is read from the storage unit 15 and appropriately expanded in the RAM 13 is triggered by input of an execution instruction for human resource search processing from the user via the input unit 12. And the human resource search process is executed in cooperation with the CPU 11.

  As shown in FIGS. 18 and 19, the search condition screen 400 in the initial state is first displayed on the output unit 14, and the evaluation item name field 431 in the evaluation item name field 430 and the conditional expression field 441 (conditions in the condition expression field 440). By the pull-down menu of Expression 1), the selection input of the evaluation item name 1 corresponding to the condition 1 in the condition column 420 from the user and the conditional expression 1 of the evaluation item name 1 is received from the user via the input unit 12 (step S121). . The search condition screen 400 displayed in step S121 is a screen on which various information is not input in the search condition screen 400 shown in FIG. In the search condition screen 400, as shown in the condition 1, condition 2, and condition 3 of the condition column 420, conditions of three evaluation items can be input.

  Then, the condition value column 451 of the condition value column 450 of the search condition screen 400 accepts an input of the condition value 1 corresponding to the condition 1 of the condition column 420 from the user via the input unit 12 (step S122). Then, the condition formula of the data accuracy condition 1 corresponding to the condition 1 of the condition column 420 from the user via the input unit 12 by the pull-down menu of the data accuracy condition formula column 461 of the data accuracy condition column 460 of the search condition screen 400. A selection input is accepted (step S123).

  Then, the data accuracy condition value column 464 of the data accuracy condition column 460 of the search condition screen 400 accepts the input of the condition value of the data accuracy condition 1 corresponding to the condition 1 of the condition column 420 from the user via the input unit 12. (Step S124).

  Then, a check button in the method column 411 of the search method setting column 410 on the search condition screen 400 allows the user to select and input a search method (AND or OR) corresponding to the condition 2 of the condition column 420 from the user via the input unit 12. Accepted (step S125). Then, the evaluation item name 2 corresponding to the condition 2 of the condition column 420 from the user via the input unit 12 by the pull-down menu of the evaluation item name column 432 of the evaluation item name column 430 and the conditional expression column 442 of the conditional expression column 440. The selection input of conditional expression 2 is accepted (step S126).

  Then, the condition value field 452 of the condition value field 450 of the search condition screen 400 receives an input of the condition value 2 corresponding to the condition 2 of the condition field 420 from the user via the input unit 12 (step S127). Then, by using the pull-down menu of the data accuracy condition column 462 of the data accuracy condition column 460 of the search condition screen 400, the conditional expression of the data accuracy condition 2 corresponding to the condition 2 of the condition column 420 from the user via the input unit 12 is displayed. A selection input is accepted (step S128).

  Then, the data accuracy condition value column 465 of the data accuracy condition column 460 of the search condition screen 400 accepts the input of the condition value of the data accuracy condition 2 corresponding to the condition 2 of the condition column 420 from the user via the input unit 12. (Step S129).

  Then, a check button in the method column 412 of the search method setting column 410 of the search condition screen 400 allows the user to select and input a search method (AND or OR) corresponding to the condition 3 of the condition column 420 from the user via the input unit 12. Accepted (step S130). Then, the evaluation item name 3 corresponding to the condition 3 in the condition column 420 from the user via the input unit 12 by the pull-down menu of the evaluation item name column 433 in the evaluation item name column 430 and the conditional expression column 443 in the conditional expression column 440. The selection input of the conditional expression 3 is accepted (step S131).

  Then, the condition value field 453 of the condition value field 450 of the search condition screen 400 accepts the input of the condition value 3 corresponding to the condition 3 of the condition field 420 from the user via the input unit 12 (step S132). Then, by using the pull-down menu of the data accuracy condition column 463 of the data accuracy condition column 460 of the search condition screen 400, the conditional expression of the data accuracy condition 3 corresponding to the condition 3 of the condition column 420 from the user via the input unit 12 is displayed. A selection input is accepted (step S133).

  Then, the data accuracy condition value column 466 of the data accuracy condition column 460 of the search condition screen 400 accepts the input of the condition value of the data accuracy condition 3 corresponding to the condition 3 of the condition column 420 from the user via the input unit 12. (Step S134). Then, a pressing input of the search button 470 from the user is accepted via the input unit 12 (step S135).

  Then, the record of the search condition set in each column corresponding to the conditions 1 to 3 in the condition column 420 of the search condition screen 400 is searched from the human resource information table 80A stored in the storage unit 15, and the work area of the RAM 13 is searched. 21 (step S136). Then, the employee number of the work area 21 and the employee number 31 of the employee information table 30 stored in the storage unit 15 are combined, and the extracted record of the employee information table 30 is stored in the work area 22 of the RAM 13. (Step S137).

  Then, 0 is substituted into the variable N (step S138). Then, the value of N + 1 is substituted for the variable N (step S139). Then, one record that has not been read from the work area 22 is read and stored in the work area 23 of the RAM 13 (step S140). Then, a search result screen 500 with the record in the work area 23 as the Nth row in the search result column is displayed on the output unit 14 (step S141). As shown in FIG. 20B, the search result screen 500 includes items of a line number 510, an employee number 520, a name 530, a gender 540, a job title 550, and an entry year 560.

  Then, it is determined whether or not one record read in step S140 is the last record in the work area 23 (step S142). If it is not the final record (step S142; NO), the process proceeds to step S139. If it is the last record (step S142; YES), the human resource search process ends.

  Next, a specific example of human resource search processing will be described with reference to FIGS. For example, as shown in the search condition screen 400 as shown in FIG. 20A, in steps S121 to S135 of FIGS. 18 and 19, a sense of responsibility ≧ 90, a data accuracy condition = 100%, and an AND condition condition It is assumed that planning power ≧ 70 and data accuracy condition = 100% are input as 2.

  Then, the record R95 of the human resource information table 80A that satisfies the conditions 1 and 2 is stored in the work area 21 in step S136 of FIG. Then, in step S137 of FIG. 19, the record R35 of the employee information table 30 corresponding to the record R95 of the human resource information table 80A is stored in the work area 22. Then, in steps S138 to S142 in FIG. 19, the line number 510, the employee number 520, the name 530, the sex 540, the job title 550, and the hire year 560 corresponding to the record R35 of the employee information table 30 are sequentially set to 1, 2005, Sasaki. A search result screen 500 in which a male, a planning department, a chief, an employee who is in 2005 is searched is displayed on the output unit 14.

  As another example, as shown in the search condition screen 400A as shown in FIG. 21A, in steps S121 to S135 of FIGS. 18 and 19, a sense of responsibility ≧ 90, data accuracy = 100%, and an AND condition As a condition 2, the planning power ≧ 70 and the data accuracy ≧ 50% are input.

  Then, records R93 to R95 of the personnel information table 80A satisfying the conditions 1 and 2 are stored in the work area 21 in step S136 of FIG. Then, records R93 to R95 of the employee information table 30 corresponding to the records R93 to R95 of the personnel information table 80A are stored in the work area 22 in step S137 of FIG. Then, in steps S138 to S142 in FIG. 19, the row number 510, employee number 520, name 530, gender 540, job title 550, and hire year 560 corresponding to the records R33 to R35 of the employee information table 30 are 1, 2003 in this order. , Kaori Enomoto, woman, development department, chief, employee who is 2000, Jiro Miyazaki, male, planning department, chief, employee who is 2005, 3, 2005, Kazu Sasaki, male, planning department , The search result screen 500 in which the chief and employee who is in 2005 is searched is displayed on the output unit 14.

  As described above, according to the present embodiment, the human resource information management apparatus 10 stores the employee history information table 40 and the score calculation information table 60, and executes the score calculation process to execute the history information from the employee history information table 40. Then, the value of the evaluation item is calculated based on the score calculation information table 60, and the human resource information table 80A having the calculated evaluation item value for each employee is generated (updated). For this reason, in the human resource search using the employee history information table 40 acquired in a plurality of years, the human resource information table 80A having the value of the evaluation item for search for each employee is used to simplify the human resource search and improve the accuracy. Improvement and effective utilization of the employee history information table 40 can be realized.

  Further, the score calculation information table 60 includes calculation contents (calculation item 1, weight 1 to calculation item 3, weight 3) that aggregate a plurality of evaluation items as one evaluation item. Based on the calculation contents of the score calculation information table 60, the human resource information management apparatus 10 aggregates the values of a plurality of evaluation items in the employee history information table 40 into one evaluation item value. For this reason, it is very easy to specify a search condition when searching for personnel.

  The score calculation information table 60 includes a calculation setting 66 (adjustment value addition) and an adjustment value for adjusting the value of the evaluation item when the evaluation item included in the employee history information table 40 is converted into another evaluation item. 73. The human resource information management apparatus 10 converts the value of the evaluation item in the employee history information table 40 from the value of another evaluation item based on the score calculation information table 60, and the value of the other evaluation item based on the adjustment value 73. Adjust. For this reason, designation of evaluation items in human resource search can be subdivided (for example, planning and development capability → planning capability), and search conditions in human resource search can be designated very easily.

  The score calculation information table 60 also includes a calculation setting 66 (deemed score) for adjusting the value for each evaluation item according to each year. The human resource information management apparatus 10 adjusts the value of the latest evaluation item of each human resource in the employee history information table 40 based on the calculation setting 66 (deemed score) and the deemed score information table 100 based on the evaluation item value. For this reason, the history information of the employee history information table 40 having different acquisition timing for each employee can be standardized.

  The score calculation information table 60 is a calculation setting 66 for calculating or extracting the value of one evaluation item from the values of evaluation items in a plurality of years of the employee history information table 40 (growth rate, average value, maximum value, minimum value). )including. Based on the score calculation information table 60, the human resource information management device 10 calculates or extracts the value of one evaluation item from the evaluation item values in a plurality of years in the employee history information table 40.

  For this reason, regarding the growth rate of the calculation setting 66, it is possible to simplify the specification of the search condition for specifying the growth rate. As for the average value of the calculation setting 66, the history information in the employee history information table 40 having different acquisition timing for each employee can be standardized. With regard to the maximum value of the calculation setting 66, it becomes possible to manage the potential such as daring (the maximum value of the ability that the person originally has), and the history information of the employee history information table 40 that could not be used conventionally can be used effectively. At the same time, the accuracy and convenience of human resource search can be improved. As for the minimum value of the calculation setting 66, the minimum value of negative evaluation items such as stress tolerance can be managed, the history information of the employee history information table 40 that could not be used conventionally can be used effectively, and the accuracy of human resource search And convenience can be improved.

  The score calculation information table 60 includes data accuracy 74 of the value of the evaluation item. The human resource information management apparatus 10 calculates a score from the employee history information table 40 based on the score calculation information table 60, and generates (updates) a human resource information table 80A including the value of the evaluation item after calculation and the data accuracy thereof. For this reason, when searching for human resources, for example, only the value of the evaluation item with data accuracy = 100% is searched, and when no human resources are searched, the data accuracy is gradually lowered, thereby improving the convenience of human resource search. Can be improved.

  Moreover, the score calculation information table 60 includes the calculation content of the value of the evaluation item and the calculation priority order 64 for the same evaluation item. The human resource information management apparatus 10 calculates values of a plurality of evaluation items from the employee history information table 40 based on the score calculation information table 60, and among the calculated evaluation item values, the calculation priority order 64 has a high rank. Is generated (updated). For this reason, even when there is history information of evaluation items of different evaluation programs for each employee, the human resource search can be performed under the same conditions, and the convenience of the human resource search can be improved.

  Further, the human resource information management apparatus 10 receives the input of the score calculation information through the input unit 12 by executing the score calculation information registration process, and stores the score calculation information table 60 of the input score calculation information in the storage unit 15. . Therefore, the user can create and register a desired score calculation information table 60.

  Further, the human resource information management apparatus 10 accepts input of human resource search conditions via the input unit 12 by executing human resource search processing, and searches for human resources from the human resource information table 80A based on the input search conditions. Information in the employee information table 30 corresponding to the human resources is displayed on the output unit 14. For this reason, the user can easily execute a human resource search by inputting a desired search condition.

  In the above description, the example in which the storage unit 15 is used as a computer-readable medium of the program according to the present invention is disclosed, but the present invention is not limited to this example. A carrier wave (carrier wave) is also applied to the present invention as a medium for providing program data according to the present invention via a communication line.

  The description in the above embodiment is an example of the human resource information management apparatus and program according to the present invention, and the present invention is not limited to this.

  In the above embodiment, the value of the evaluation item in the employee history information table 40 is a value acquired in a plurality of years, but is not limited to this. For example, the value of the evaluation item in the employee history information table 40 may be a value acquired at another time such as a plurality of months, weeks, or days.

  In the above embodiment, the calculation target 65 in the score calculation information table 60 is 2009 (processing category = 1) or all cases (processing category = 2). However, the present invention is not limited to this. The calculation target 65 in the processing category = 1 may be “newest data”, “oldest data”, or the like. The calculation target 65 in the processing category = 2 is “2000 to 2005”, “1998 to 2003”, “business year x year to Heisei year (x, y: any number of years)” Or the like.

  In the above embodiment, the number of combinations of calculation items and weights in the score calculation information table 60 is three at the maximum. However, the present invention is not limited to this. The number of combinations of calculation items and their weights in the score calculation information table 60 may be a number other than a maximum of three.

  In the above embodiment, the maximum number of evaluation item conditions input on the search condition screen 400 in the human resource search process is three. However, the present invention is not limited to this. The number of evaluation item conditions may be a number other than 3 at maximum.

  Moreover, it is needless to say that the detailed configuration and detailed operation of each component of the human resource information management apparatus 10 in the above embodiment can be appropriately changed without departing from the spirit of the present invention.

10 Human Resource Information Management Device 11 CPU
12 Input unit 13 RAM
21, 22, 23, 24, 25, 26 Work area 14 Output unit 15 Storage unit 151 Score calculation information registration program 152 Score calculation program 153 Human resource search program 16 Communication unit 17 Bus D Database 30 Employee information table 40 Employee history information table 60 , 60A score calculation information table 80, 80A personnel information table 100 deemed score information table

Claims (4)

A first storage unit for storing a plurality of values for each of a plurality of evaluation target item acquired in acquisition time for each employee,
In order to calculate the value of one evaluation item in the evaluation target item from the values of the plurality of evaluation target items acquired at the plurality of acquisition times stored in the first storage unit , at least an average calculation method, a second storage unit that score calculation information indicating either one calculation method is Ru stored is set individually for each of the plurality of evaluation items of the plurality of calculation methods including the best method of calculating a minimum calculation method,
When calculating the value of one evaluation item in each evaluation target item from the values of the plurality of evaluation items for each evaluation target item acquired at the plurality of acquisition times stored in the first storage unit If the score calculation information of the evaluation target item set and stored in the second storage unit is the average calculation method, the average value of each value acquired at the plurality of acquisition times is the value of the evaluation target item. If the score calculation information of the evaluation target item is the highest calculation method, the highest value among the values acquired at the plurality of acquisition times is calculated as the value of the evaluation target item. In addition, if the score calculation information of the evaluation target item is the minimum calculation method, a calculation unit that calculates the lowest value among the values acquired at the plurality of acquisition times as the value of the evaluation target item ;
A control unit for generating human resource information having a value of one evaluation item for each evaluation target item calculated by the calculation unit for each employee;
A human resource information management apparatus comprising:   The human resource information management device according to claim 1, further comprising a score calculation information input unit that receives input of the score calculation information and stores the input score calculation information in the second storage unit.   Information on human resources satisfying the search condition input by the search condition input unit is obtained from the human resource information generated by the search condition input unit, the output unit, and the control unit that receives input of the search condition of human resource evaluation items. The human resource information management device according to claim 1, further comprising: a search unit that searches and outputs information on the searched human resource to the output unit. Computer
First storage unit for storing the value of each acquired plurality of evaluation items into a plurality of acquisition times for each employee,
In order to calculate the value of one evaluation item in the evaluation target item from the values of the plurality of evaluation target items acquired at the plurality of acquisition times stored in the first storage unit , at least an average calculation method, second storage unit for score calculation information indicating either one calculation method is Ru stored is set individually for each of the plurality of evaluation items of the plurality of calculation methods including the best method of calculating a minimum calculation method,
When calculating the value of one evaluation item in each evaluation target item from the values of the plurality of evaluation items for each evaluation target item acquired at the plurality of acquisition times stored in the first storage unit If the score calculation information of the evaluation target item set and stored in the second storage unit is the average calculation method, the average value of each value acquired at the plurality of acquisition times is the value of the evaluation target item. If the score calculation information of the evaluation target item is the highest calculation method, the highest value among the values acquired at the plurality of acquisition times is calculated as the value of the evaluation target item. Further, if the score calculation information of the evaluation target item is the minimum calculation method, a calculation unit that calculates the lowest value among the values acquired at the plurality of acquisition times as the value of the evaluation target item ,
A control unit that generates human resource information having a value of one evaluation item for each evaluation target item calculated by the calculation unit for each employee;
Program to function as.

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