Plan generation device, plan generation method, and plan generation program

Abstract

For example, when generating staffing plans at various locations in industries such as logistics, the system predicts future staffing needs based on past work performance, thereby improving the accuracy of the generated staffing plans. [Solution] The plan generation device 100 comprises a memory 120 and a processor 110. The processor 110 works in cooperation with the memory 120 to acquire daily division information 121 and employee work condition information 122 for the unit period to be planned, and work performance information 123 for the target organization in a predetermined past period which is a longer period than the unit period. Using the daily division information 121 and work performance information 123, the processor determines the average man-hour ratio for each unit period for each daily division in the predetermined past period. Using the employee work condition information 122, the processor determines the total man-hours for the unit period to be planned. For each day of the unit period to be planned, the processor outputs the required man-hour information for each day by multiplying the total man-hours by the average man-hour ratio for each day in the unit period.

Description

Technical Field

[0001] The present disclosure relates to a plan generation device, a plan generation method, and a plan generation program.

Background Art

[0002] In Patent Document 1, a storage device that stores the planned value of the amount of goods to be processed at each predetermined time and the actual value of the amount of goods that actually needs to be processed in the logistics business, each information on the productivity of logistics business personnel and the temporal dispersion of the productivity, and based on the planned value of the amount of goods and the information on the productivity of personnel, a process of generating a basic personnel plan for processing the amount of goods in each period with a predetermined number of personnel having a predetermined productivity, and regarding each period in the basic personnel plan, reading from the storage device the planned value and actual value of the amount of goods in the past same period and the surrounding periods of the corresponding same period, calculating the upward deviation of each actual value from each planned value and the dispersion of the upward deviation, and dividing the dispersion of the upward deviation by the number of allocated personnel defined in the basic personnel plan for the corresponding period to calculate the risk value of the amount of goods upward deviation in each period, ranking each period in the basic personnel plan according to the magnitude of the risk value, and among the personnel assigned to work in the high-risk periods where the ranking is higher than the predetermined ranking, those with lower productivity and higher temporal dispersion of productivity than other personnel, and among the personnel assigned to work in the low-risk periods where the ranking is lower than the predetermined ranking, those with higher productivity and lower temporal dispersion of productivity than other personnel, and a process of generating a personnel plan by swapping the work assignments between them are described. At this time, in order to generate a personnel plan, the planned value of the amount of goods and the actual value of the amount of goods that actually needs to be processed are required.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, it is not always possible to obtain both the planned volume and the actual volume that needs to be processed. In such cases, the technology described in Patent Document 1 cannot generate a personnel plan.

[0005] The purpose of this disclosure is to provide a technology that can improve the accuracy of personnel plans generated at various locations, such as in the logistics industry, by predicting future man-hour requirements based on past work performance. [Means for solving the problem]

[0006] A plan generation device according to one aspect of the present disclosure comprises a memory and a processor, the processor working in cooperation with the memory to acquire daily division information and employee work condition information for a unit period to be planned, and work performance information of the target organization for a predetermined past period which is a longer period than the unit period, the processor uses the daily division information and the work performance information to determine the average man-hour ratio for each daily division in the unit period in the predetermined past period, the employee work condition information to determine the total man-hours for the unit period to be planned, and for each day of the unit period to be planned, the processor outputs the required man-hour information for each day by multiplying the total man-hours by the average man-hour ratio for each day in the unit period.

[0007] A plan generation method according to one aspect of this disclosure acquires daily division information and employee work condition information for a unit period to be planned, and work performance information of the target organization for a predetermined past period which is a longer period than the unit period, and uses the daily division information and work performance information to determine the average man-hour ratio for each daily division in the unit period in the predetermined past period, uses the employee work condition information to determine the total man-hours for the unit period to be planned, and outputs the required man-hour information for each day of the unit period to be planned by multiplying the total man-hours by the average man-hour ratio for each day in the unit period.

[0008] A plan generation program according to one aspect of this disclosure obtains daily division information and employee work condition information for a unit period to be planned, and work performance information of the target organization for a predetermined past period which is a longer period than the unit period, and causes a computer to perform the following: determine the average man-hour ratio for each daily division in the unit period in the predetermined past period using the daily division information and the work performance information, determine the total man-hours for the unit period to be planned using the employee work condition information, and output the required man-hour information for each day of the unit period to be planned by multiplying the total man-hours by the average man-hour ratio for each day in the unit period.

[0009] These comprehensive or specific embodiments may be implemented as systems, devices, methods, integrated circuits, computer programs, or recording media, or as any combination of systems, devices, methods, integrated circuits, computer programs, and recording media. [Effects of the Invention]

[0010] According to this disclosure, for example, in the logistics industry, when generating personnel plans at each location, it is possible to predict future man-hour requirements based on past work performance and improve the accuracy of the generated personnel plans. [Brief explanation of the drawing]

[0011] [Figure 1] A diagram showing an example of the configuration of the plan generation system according to this embodiment. [Figure 2] This diagram illustrates the calculation of the ratio of daily man-hours to the total man-hours for each past month according to this embodiment. [Figure 3] This diagram illustrates the calculation of the average man-hour ratio by averaging the man-hour ratios for the past 12 months for each day category according to this embodiment. [Figure 4] This diagram illustrates the calculation of man-hours for each day of the target month according to this embodiment. [Figure 5] Diagram illustrating the flow of plan generation according to this embodiment. [Modes for carrying out the invention]

[0012] Embodiments of this disclosure will be described in detail below, with appropriate reference to the drawings. However, descriptions that are unnecessarily detailed may be omitted. For example, detailed descriptions of already well-known matters and redundant descriptions of substantially identical configurations may be omitted. This is to avoid the following description becoming unnecessarily verbose and to facilitate understanding for those skilled in the art. The accompanying drawings and the following description are provided to enable those skilled in the art to fully understand this disclosure and are not intended to limit the subject matter of the claims. Furthermore, the functions of one configuration shown in this embodiment may be realized by two or more physical configurations, or the functions of two or more configurations may be realized by, for example, one physical configuration.

[0013] (Embodiment) <About the plan generation system> First, the plan generation system 1 will be described. Figure 1 is a diagram showing an example of the configuration of the plan generation system according to this embodiment. Figure 2 is a diagram illustrating the calculation of the daily man-hour ratio for each day category relative to the total man-hours for each past month according to this embodiment. Figure 3 is a diagram illustrating the calculation of the average man-hour ratio by averaging the man-hour ratios for each day category for the past 12 months according to this embodiment. Figure 4 is a diagram illustrating the calculation of man-hours for each day of the target month according to this embodiment.

[0014] The planning generation system 1 includes a planning generation device 100, a planning analysis device 200, multiple worker terminals 300, and multiple store / head office terminals 400. The planning generation device 100, the planning analysis device 200, the multiple worker terminals 300, and the multiple store / head office terminals 400 can send and receive information and data to and from each other via wired cables or a communication network. Examples of wired cables include HDMI® cables and USB cables. Examples of communication networks include wired LAN, wireless LAN, LTE, 4G, 5G, the Internet, and Virtual Private Network (VPN).

[0015] The planning generation system 1 is a system for generating personnel plans for each organizational unit of a logistics company that has multiple logistics bases, for example. It may also be used to generate personnel plans for retail companies with multiple stores, such as drugstores and supermarkets, or hotel groups with multiple affiliated hotels. The logistics company assumed here has multiple bases and a headquarters that manages each base. In the planning generation system 1, the planning generation device 100 generates employee personnel plans and personnel plan patterns, which are then compared, analyzed, and evaluated using the planning analysis device 200. The personnel plans and their analysis results can be viewed on worker terminals 300 and store / headquarters terminals 400. Users can then modify the personnel plans via the planning generation device 100 based on the comparison and analysis results from the planning analysis device 200. The planning generation device 100, planning analysis device 200, worker terminal 300, and store / headquarters terminal 400 are electronic devices such as personal computers, servers, smartphones, and tablets, respectively. The term "employee" includes full-time employees, contract employees, part-time employees, and temporary workers, regardless of their employment contract type.

[0016] <About the planning generation device> The planning generation device 100 comprises a processor 110, a memory 120, and a display unit 130. The processor 110 comprises an average man-hour ratio determination unit 111, a total man-hour determination unit 112, a required man-hour determination unit 113, and a shift determination unit 114. The memory 120 stores daily classification information 121, employee work condition information 122, work performance information 123, work item information 124, required man-hour information 125, location information 126, team information 127, and personnel planning patterns 128.

[0017] The processor 110 implements various functions by executing a plan generation program stored in the memory 120. The processor 110 calculates various correlation values ​​and outputs corresponding information, although details will be described later. Examples of the processor 110 include a Central Processing Unit (CPU), Micro Processing Unit (MPU), controller, Large Scale Integration (LSI), Application Specific Integrated Circuit (ASIC), Programmable Logic Device (PLD), and Field-Programmable Gate Array (FPGA). The processor 110 may also include at least one Graphics Processing Unit (GPU) and Neural Processing Unit (NPU). The plan analysis device 200, worker terminal 300, and store / head office terminal 400 may also be equipped with similar processors. The processor 110 obtains from memory 120 the daily classification information 121 for the unit period to be planned (for example, one month, which is the unit for creating shifts), employee work condition information 122, and work performance information 123 for the target organization over a predetermined period in the past, which is a longer period than the unit period (preferably the past 12 months or more).

[0018] The average man-hour ratio determination unit 111 determines the average man-hour ratio by using at least the daily classification information 121 (including calendar information), work performance information 123, and preferably base information 126 and team information 127 obtained from the memory 120. The average man-hour ratio is the average man-hour ratio for each unit period (for example, one month which is the unit for creating shifts) for each day classification in a past predetermined period (preferably 12 months or more in the past). Next, the method for calculating the average man-hour ratio will be described. As shown in FIG. 2, assuming that January of last year is in the past predetermined period, in January of last year, the total man-hours of the month is 1000 man-hours, and the man-hours for each day are respectively assumed. Each day is classified according to the day classification (for example, day of the week, holiday, event day). If a certain day is an event day and a holiday, it is classified as an "event day", if it is a holiday but not an event day, it is classified as a "holiday", and if it is neither an event day nor a holiday, it may be classified as a "day of the week".

[0019] Regarding the average man-hour ratio for each day classification in January of last year, if the average man-hours on the day of the social event is 50 man-hours, it is 5% with respect to the total man-hours of the month (1000 man-hours). Therefore, the average man-hour ratio determination unit 111 sets the average man-hour ratio on the day of the social event in January of last year to 5%. Similarly, if the average man-hours on a holiday is 60 man-hours, it is 6% with respect to the total man-hours of the month (1000 man-hours). Therefore, the average man-hour ratio determination unit 111 sets the average man-hour ratio on the day of the holiday in January of last year to 6%. And as shown in FIG. 2, for each day of the week as well, the average man-hour ratio is determined. Then, as shown in FIG. 3, in each month of the past predetermined period (preferably 12 months or more in the past), the same processing is performed to determine the average man-hour ratio for each day classification of each month and further average it.

[0020] The total man-hour determination unit 112 determines the total man-hours for the period (here, the target month) for which the personnel plan is to be generated by using the employee work condition information 122 obtained from the memory 120. From the contract conditions with each employee, etc., the total man-hours that can be input in the target month are calculated. In FIG. 4, the total man-hours are 800 man-hours.

[0021] The required man-hour determination unit 113 outputs the required man-hour information for each day of the target unit period (target month) by multiplying the total man-hours by the average man-hour ratio for each day in that unit period. In Figure 4, the total man-hours for the target month are 800 man-hours, and the average man-hour ratios are 6% for social event days, 6% for holidays, 3% for Mondays, 3% for Tuesdays, ..., and 5% for Sundays. By multiplying these ratios, the man-hours to be used for each day can be determined.

[0022] The shift determination unit 114 further acquires the work item information 124 and the required man-hour information 125 (maximum required man-hours and minimum required man-hours) for each time period from the memory 120, and uses the required man-hour information for each day calculated by the required man-hour determination unit 113, along with the work item information 124 and the required man-hour information 125 for each time period, to output the required man-hours for each time period and for each task.

[0023] The day classification information 121 should include at least one of the following: day of the week, public holiday, or event information. Events include various types of events, such as social events (e.g., Mother's Day) and seasonal events (e.g., year-end and New Year's). The required man-hour information for days corresponding to seasonal events should be determined using the target organization's work performance information 123 for the same month in the past within a predetermined period. Furthermore, depending on the type of seasonal event, the required man-hour information may also be determined by considering which day of the event period it is. In addition, the day classification information 121 should include information on the number of days in each month. This information on the number of days in each month indicates how many days it consists of (for example, January has 31 days, February has 28 or 29 days).

[0024] Employee working conditions information 122 is information that shows the working conditions based on the contract with each employee. Each employee's contract includes matters related to working hours, such as the maximum and minimum hours per month, maximum and minimum hours per week, maximum and minimum hours per day, restrictions on the number of working days and hours, and available working days and days of the week.

[0025] Work performance information 123 is data on the actual man-hours worked each day over a specified period in the past (preferably the past 12 months or more).

[0026] Business item information 124 is a classification of the tasks performed by each company and location in each industry.

[0027] Location information 126 refers to information about each logistics base in the logistics industry. Location information 126 may include ID information, attribute information, and location information that identify the base.

[0028] Team information 127 contains information about teams for each task at each logistics base indicated by base information 126. It includes information identifying the tasks each team is responsible for and the members assigned to each team. The target organization, which is the unit for creating shifts, is the team within the same base.

[0029] Personnel planning pattern 128 is often generated on a daily, hourly, minute, 5-minute, 10-minute, or 15-minute basis, and can be used for each location / store, team, group, or major / medium-sized business category. Based on the personnel pattern, it generates monthly work plans, daily work plans, and individual staff work plans by allocating personnel (employees). In personnel planning pattern 128, it is advisable to define the maximum and minimum man-hours on a daily, hourly, minute, 5-minute, 10-minute, or 15-minute basis.

[0030] <About the plan generation flow> Next, the flow for generating the plan will be described. Figure 5 is a diagram illustrating the flow for generating the plan according to this embodiment. The order of the flow may be changed unless there are constraints. The following flow may be executed by the processor 110 that executes the plan generation program.

[0031] First, the processor 110 obtains at least daily classification information 121 (including calendar information), work performance information 123, and preferably location information 126 and team information 127 from the memory 120 (ST1). Then, the processor 110 uses the obtained daily classification information 121, work performance information 123, and preferably location information 126 and team information 127 to determine the average man-hour ratio (ST2). The average man-hour ratio is the average man-hour ratio for each daily classification unit period (for example, one month, which is the unit for creating shifts) over a predetermined period in the past (preferably the past 12 months or more).

[0032] Then, as shown in Figure 3, the processor 110 performs the same processing for each month in a predetermined past period (preferably the past 12 months or more) to determine the average man-hour ratio for each day segment of each month, and then averages it (ST3).

[0033] Then, the total man-hour determination unit 112 of the processor 110 uses the employee work condition information 122 obtained from the memory 120 to determine the total man-hours for the period (in this case, the target month) for which the personnel plan is generated (ST4). The total man-hours that can be allocated in the target month are calculated based on the contract conditions with each employee. In Figure 4, the total man-hours are 800 man-hours.

[0034] Then, for each day of the planned unit period (target month), the processor 110 outputs the required man-hours information for each day by multiplying the total man-hours by the average man-hour ratio for each day in the unit period (ST5). The shift determination unit 114 of the processor 110 then acquires the work item information 124 and the required man-hours information 125 (maximum required man-hours and minimum required man-hours) for each time period from the memory 120, and uses the required man-hours information for each day calculated by the required man-hours determination unit 113, along with the work item information 124 and the required man-hours information 125 for each time period, to output the required man-hours by time period and by work (ST6).

[0035] <Use cases in various industries> Next, we will explain the use cases of the planning generation system 1 in each industry. First, we will explain the logistics industry. In the logistics industry, it is good to have daily divisions such as days of the week, holidays, seasonal events (year-end and New Year, mid-year gifts, year-end gifts, etc.), and social events (Christmas, Mother's Day, Respect for the Aged Day, etc.). In the logistics industry, for example, since the volume of shipments is high on Mondays, the start of the week, and Fridays, the end of the week, it is good to determine the man-hour input for the target month from the average man-hour ratio of work performance over the past 12 months or more. However, for social events and seasonal events, the man-hour ratio based on the performance of the same month (or day) of the previous year may be used to determine the man-hour input. For example, the man-hour ratio for Christmas can be calculated by dividing the man-hour ratio for Christmas of the previous year by the man-hour ratio for December, and this year's forecast can be calculated by multiplying the monthly working hours for December of this year by the man-hour ratio for Christmas of the previous year.

[0036] Furthermore, examples of organizational events include inventory taking, inventory layout changes, and new employee training. The man-hours allocated to these organizational events may also be determined using the actual man-hours allocated in the same month (or day) of the previous year.

[0037] In the distribution industry, job items include, for example, "receiving and inspection," "sorting," "warehousing and shipping," "storage and management," "picking," "forklift operation," "distribution processing," and "packaging and boxing." "Distribution processing" refers to processing work that adds value to products, such as boxing products, dividing products into smaller portions, and attaching labels, price tags, and tags. "Receiving and inspection," "warehousing and shipping," and "preparation for unloading" have day-of-the-week and seasonal characteristics, and "distribution processing" also has seasonal characteristics, so it is preferable to determine the man-hours to be allocated for the target month based on the average man-hour ratio of work performance over the past 12 months or more.

[0038] Next, let's look at an example for the accommodation service industry. Good daily classifications would include days of the week, public holidays, seasonal events (such as New Year's), and social events (such as Christmas, Mother's Day, and Respect for the Aged Day).

[0039] In the accommodation service industry, job duties include, for example, "front desk duties (check-in / check-out, reservations, etc.)", "concierge services", "attendant services", "cleaning and bed making", "cooking and food service", "banquet planning and preparation", "bridal planning and venue setup", and "management and sales duties". "Front desk duties (check-in / check-out, reservations, etc.)" have characteristics specific to the day of the week and the season, while event planning and preparation, facility decoration changes, room amenity replacements, and related preparations also have seasonal characteristics. For social events and seasonal events, it is advisable to use the man-hour ratio based on the performance of the same month (or day) of the previous year to determine the man-hour allocation, so it is preferable to determine the man-hour allocation for the target month based on the average man-hour ratio of work performance over the past 12 months or more.

[0040] Next, let's look at an example from the food and beverage industry. Good daily classifications would include days of the week, public holidays, seasonal events (such as New Year's), and social events (such as Christmas).

[0041] In the food service industry, job duties include, for example, "customer service (taking orders, serving food, etc.)", "cooking (preparing dishes according to orders, cleaning up, washing dishes)", "attending to customers", "store operations (ordering ingredients, training, shift scheduling, sales management)", "cleaning", "inventory management", and "marketing (planning events and fairs, store decorations)". Tasks such as "cooking (preparing dishes according to orders, cleaning up, washing dishes)" and "cleaning" have characteristics specific to the day of the week and the season, while event planning and preparation, and changes to store decorations also have seasonal characteristics. For social events and seasonal events, it is advisable to use the labor hour ratio based on the performance of the same month (or day) of the previous year to determine the labor hours to be allocated. Therefore, it is preferable to determine the labor hours to be allocated for the target month based on the average labor hour ratio of work performance over the past 12 months or more.

[0042] Next, let's look at an example from the retail industry. Good daily classifications would include days of the week, public holidays, seasonal events (such as year-end and New Year's), and social events (such as Christmas and Mother's Day).

[0043] In the retail sector, use cases include drugstores handling daily necessities, food, pharmaceuticals, and cosmetics; apparel stores handling women's, men's, and children's clothing; and home centers handling daily necessities, home appliances, gardening supplies, and DIY products. For social and seasonal events, it is advisable to use the labor hour ratio based on the performance of the same month (or day) of the previous year to determine the labor hours to be allocated. Therefore, it is preferable to determine the labor hours to be allocated for the target month based on the average labor hour ratio of work performance over the past 12 months or more.

[0044] (Summary of this embodiment) Based on the above description of embodiments, the following technologies are disclosed.

[0045] <Technology 1> A plan generation device (100) according to one embodiment comprises a memory (120) and a processor (110), wherein the processor (110) cooperates with the memory (120) to acquire daily division information (121) and employee work condition information (122) for a unit period to be planned, and work performance information (123) of the target organization for a predetermined past period which is a longer period than the unit period, and uses the daily division information (121) and work performance information (123) to determine the average man-hour ratio for each daily division in the unit period in the predetermined past period, uses the employee work condition information (122) to determine the total man-hours for the unit period to be planned, and outputs the required man-hour information for each day by multiplying the total man-hours by the average man-hour ratio for each day in the unit period to be planned. This allows for improved accuracy in generating staffing plans, for example, at various locations in the logistics industry, by predicting future staffing needs based on past work performance.

[0046] <Technology 2> In the plan generation device (100) described in Technology 1, the predetermined past period is a period of 12 months or more. This allows for more accurate prediction of future man-hour requirements based on past work performance when generating staffing plans at various locations, such as in the logistics industry, thereby improving the accuracy of the generated staffing plans.

[0047] <Technology 3> In the plan generation device (100) described in Technology 1 or 2, the day classification information includes information relating to at least one of the day of the week, public holidays, and event information. This allows for improved accuracy in generating staffing plans, for example, at various locations in the logistics industry, by accurately predicting future staffing needs on a daily basis based on past work performance.

[0048] <Technology 4> In the planning generation device (100) described in any one of technologies 1 to 3, the processor determines the required man-hour information for a day corresponding to a seasonal event using the work performance information of the target organization for the same month in the past within the predetermined past period. This allows for improved accuracy in generating staffing plans, for example, at various locations in the logistics industry, by accurately predicting future staffing needs based on past work performance, even when seasonal events are present.

[0049] <Technology 5> In the planning generation device (100) described in any one of technologies 1 to 4, the processor further acquires business item information (124) and required man-hour information (125) for each time period, and outputs the required man-hours for each time period and for each business using the required man-hour information for each day, the business item information (124), and the required man-hour information (125) for each time period. This allows for the generation of personnel plans at various locations, such as in the logistics industry, by predicting future man-hour requirements based on past work performance, thereby improving the accuracy of the generated personnel plans.

[0050] <Technology 6> In one of the planning generation devices (100) of technologies 1 to 5, the day classification information (121) includes information on the number of days in each month. This allows for more accurate prediction of future man-hour requirements based on past work performance when generating staffing plans at various locations, such as in the logistics industry, thereby improving the accuracy of the generated staffing plans.

[0051] <Technology 7> In one of the planning generation devices (100) from technology 1 to 6, the target organization is a team located within the same base. This allows for more accurate prediction of future man-hour requirements based on past work performance when generating staffing plans at various locations, such as in the logistics industry, thereby improving the accuracy of the staffing plans generated for each team.

[0052] <Technology 8> A plan generation method according to one embodiment acquires daily classification information (121) and employee working conditions information (122) for a unit period to be planned, and work performance information (123) of the target organization for a predetermined past period which is a longer period than the unit period. Using the daily classification information (121) and work performance information (123), the average man-hour ratio for each daily classification in the unit period is determined for the predetermined past period. Using the employee working conditions information (122), the total man-hours for the unit period to be planned are determined. For each day of the unit period to be planned, the total man-hours are multiplied by the average man-hour ratio for each day in the unit period to output the required man-hour information for each day. This allows for improved accuracy in generating staffing plans, for example, at various locations in the logistics industry, by predicting future staffing needs based on past work performance.

[0053] <Technology 9> A plan generation program according to one embodiment obtains daily classification information (121) and employee working conditions information (122) for a unit period to be planned, and work performance information (123) of the target organization for a predetermined past period which is a longer period than the unit period. The program uses the daily classification information (121) and work performance information (123) to determine the average man-hour ratio for each daily classification in the unit period during the predetermined past period, uses the employee working conditions information (122) to determine the total man-hours for the unit period to be planned, and for each day of the unit period to be planned, the program causes the computer to output the required man-hour information for each day by multiplying the total man-hours by the average man-hour ratio for each day in the unit period. This allows for improved accuracy in generating staffing plans, for example, at various locations in the logistics industry, by predicting future staffing needs based on past work performance.

[0054] While embodiments have been described above with reference to the attached drawings, this disclosure is not limited to such examples. It is clear to those skilled in the art that various modifications, alterations, substitutions, additions, deletions, and equivalents can be conceived within the scope of the claims, and these are also understood to fall within the technical scope of this disclosure. Furthermore, the components of the embodiments described above can be combined in any way without departing from the spirit of the invention. [Industrial applicability]

[0055] The technology disclosed herein can improve the accuracy of personnel plans generated at various locations, such as in the logistics industry, by predicting future man-hour requirements based on past work performance. [Explanation of Symbols]

[0056] 1. Plan Generation System 100 Plan Generation Device 110 processors 111 Average person-hour ratio determination section 112 Total Personnel Time Determination Department 113 Required Personnel and Hours Determination Department 114 Shift determination unit 120 memory 121 day division information 122 Employee Working Conditions Information 123 Work Performance Information 124 Work item information 125 Required person-hour information 126 Location Information 127 Team Information 128 Personnel Planning Patterns 130 Display section 200 Planning Analyzer 300 worker terminals 400 stores / head office terminals

Claims

1. Equipped with memory and a processor, The aforementioned processor cooperates with the memory, The system acquires daily breakdown information and employee work condition information for the unit period targeted by the plan, as well as work performance information of the target organization for a predetermined past period that is longer than the aforementioned unit period. Using the aforementioned daily classification information and work performance information, the average man-hour ratio for each daily classification within the aforementioned unit period is determined for the aforementioned predetermined past period. Using the employee working conditions information, the total man-hours for the unit period to be planned are determined. For each day of the aforementioned planned unit period, the required man-hour information for each day is output by multiplying the total man-hours by the average man-hour ratio for each day within the aforementioned unit period. Plan generation device.

2. The aforementioned past specified period is a period of 12 months or more. The plan generation apparatus according to claim 1.

3. The aforementioned day classification information includes information on at least one of the following: day of the week, public holidays, and event information. A plan generation apparatus according to claim 1 or 2.

4. The processor determines the necessary man-hour information for a day corresponding to a seasonal event using the work performance information of the target organization for the same month in the past within a predetermined period. A plan generation apparatus according to claim 1 or 2.

5. The aforementioned processor, Furthermore, we acquire information on the necessary man-hours for each task and time period. Using the required man-hour information for each day, the work items, and the required man-hour information for each time period, the required man-hours by time period and by work are output. A plan generation apparatus according to claim 1 or 2.

6. The aforementioned daily classification information includes the number of days in each month. A plan generation apparatus according to claim 1 or 2.

7. The aforementioned target organization is a team located within the same base. A plan generation apparatus according to claim 1 or 2.

8. The system acquires daily breakdown information and employee work condition information for the unit period targeted by the plan, as well as work performance information of the target organization for a predetermined past period that is longer than the aforementioned unit period. Using the aforementioned daily classification information and work performance information, the average man-hour ratio for each daily classification within the aforementioned unit period is determined for the aforementioned predetermined past period. Using the employee working conditions information, the total man-hours for the unit period to be planned are determined. For each day of the aforementioned planned unit period, the required man-hour information for each day is output by multiplying the total man-hours by the average man-hour ratio for each day within the aforementioned unit period. Plan generation method.

9. The system acquires daily breakdown information and employee work condition information for the unit period targeted by the plan, as well as work performance information of the target organization for a predetermined past period that is longer than the aforementioned unit period. Using the aforementioned daily classification information and work performance information, the average man-hour ratio for each daily classification within the aforementioned unit period is determined for the aforementioned predetermined past period. Using the employee working conditions information, the total man-hours for the unit period to be planned are determined. For each day of the aforementioned planned unit period, the required man-hour information for each day is output by multiplying the total man-hours by the average man-hour ratio for each day within the aforementioned unit period. A plan generation program that instructs a computer to perform a task.

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