JPWO2015181904A1 - Personnel planning system and personnel planning method - Google Patents

Abstract

It is possible to generate a personnel plan that can cope with risks associated with upward fluctuations in quantity. In the personnel planning system (201), for each period in the basic plan for personnel planning, the plan value and actual value of the quantity in the past simultaneous period and the peripheral period of the corresponding simultaneous period are read from the storage device (2013), Calculate the upside of each actual value and the variance of the upside, and then divide the upside variance by the number of assigned personnel as stipulated in the basic plan for the personnel plan for the relevant period, and then the risk value of the upside of the quantity Among the employees assigned to work in high-risk periods where the ranking of each period in the basic plan for personnel planning based on the magnitude of the risk value and the risk value is higher than the predetermined order, the productivity is lower than other employees and the period of productivity A process for generating a work plan by exchanging work assignments between a highly diversified person and a person who is assigned to work during low-risk periods and who is more productive and less productive than other people. It is set as the structure provided with the arithmetic unit (2011) which performs a process.

Description

  The present invention relates to a personnel planning system and a personnel planning method, and more specifically, to a technique for generating a personnel plan that can cope with a risk associated with an upward fluctuation in a physical quantity.

  In shipping operations in the logistics business, it is important in terms of contracts with customers to observe the deadline for shipping. However, the amount of goods to be shipped (hereinafter referred to as quantity) easily varies depending on customer convenience. In addition, the productivity of staff who perform shipping operations often varies greatly depending on the individual staff ability and the nature of the work object. Therefore, it is necessary to plan the staffing based on the changing workload and the productivity of each staff member.

  On the other hand, the following techniques have been proposed as a conventional method for general personnel planning. In other words, as a system for creating a staff shift of service stations that takes into account the type of staff (regular employees, part, part-time job, etc.) and the productivity of each store clerk, daily sales that have been set in advance with the monthly sales plan values set in advance Set a target value for each time period based on the distribution of sales data for each time period obtained from the host computer for the target value, and shift the work shift of the staff corresponding to the target value for that time period. A time shift support system to be created (see Patent Document 1) has been proposed.

JP 2006-58929 A

  The above-mentioned conventional technique is also useful for general personnel planning. However, in the logistics industry, the quantity handled tends to fluctuate in a short period of time due to the great influence of work day attributes such as seasons, days of the week, and special days such as new product release dates. Therefore, the conventional technology cannot cover the risk due to the fluctuation of the physical quantity. This risk is a risk that the deadline for shipping cannot be observed due to a shortage of man-hours and fluctuations in the work efficiency of the input personnel that occur when the quantity increases from the initial plan.

  SUMMARY OF THE INVENTION An object of the present invention is to provide a technique that can generate a personnel plan that can cope with a risk associated with an upward fluctuation in a quantity.

  The personnel planning system of the present invention that solves the above-mentioned problems is the planned value of the quantity to be processed at a predetermined time in the logistics business, the actual value of the quantity actually required to be processed, the productivity of the personnel for the logistics business, and Based on the storage device storing each piece of information on the temporal distribution of the productivity and the planned value of the quantity and the information on the productivity of the personnel, the quantity of the quantity at each period with the prescribed productivity The plan and actual values of the physical quantity at the same time in the past and the surrounding time of the same time period are read out from the storage device for each time in the work plan basic plan to generate the work plan basic plan processed by , Calculate the upside of each actual value from each plan value and the variance of the upside, and the variance of the upside with the number of personnel stipulated in the basic plan for the personnel plan for the relevant period Divide each time Among the personnel who are assigned to work at high risk times when the risk value of the upside risk is calculated and each time in the basic plan for the personnel plan is ranked according to the magnitude of the risk value. Among the employees who are less productive than other employees and whose productivity is highly dispersed, and those who are assigned to work in low-risk periods where the rank is lower than the predetermined rank, the productivity is higher than other employees and the period of productivity And a processing unit for generating a personnel plan by exchanging work assignments with personnel having low variance, and a computing device for executing the processing.

  Further, the personnel planning method of the present invention includes the planned value of the quantity to be processed at a predetermined time in the logistics business, the actual value of the quantity actually required to be processed, the productivity of the personnel for the logistics business, and the productivity. An information processing system having a storage device storing each information of the time distribution of the items has a predetermined amount of the amount of goods at each time period based on the planned value of the amount and the productivity information of the personnel. Stores the planned and actual values of the physical quantity at the same time in the past and in the surrounding period of the same time period for each process in the basic plan for the personnel plan and the process for generating the basic plan for the personnel plan to be processed by a predetermined number of personnel. Read from the device, calculate the upside of each actual value from each planned value and the variance of the upside, and calculate the amount of upside by the number of personnel stipulated in the basic plan for personnel planning for the applicable time Divide the variance of Personnel who are assigned to work at high-risk periods when processing the process of calculating the risk value of physical upside of the period and ranking each period in the basic plan for the personnel plan according to the magnitude of the risk value. Of these, among those who are less productive than other employees and who have a high degree of time dispersion of productivity, and those who are assigned to work during low-risk periods where the rank is lower than a predetermined rank, the productivity is higher than other employees and the productivity is higher. And a process of generating a personnel plan by exchanging work assignments with personnel having low temporal dispersion.

  According to the present invention, it is possible to generate a personnel plan that can cope with a risk associated with an upward fluctuation in a physical quantity.

It is a figure which shows the structural example of the personnel planning system in this embodiment. It is a figure which shows the process flow example 1 of the personnel planning method in this embodiment. It is a figure which shows the structural example of the physical quantity and man-hour storage database in this embodiment. It is a figure which shows the processing flow example 2 of the personnel planning method in this embodiment. It is a figure which shows the structural example of the man-hour prediction formula storage database in this embodiment. It is a figure which shows the update concept of the estimated man-hour calculation formula in this embodiment. It is a figure which shows the processing flow example 3 of the personnel planning method in this embodiment. It is a figure which shows the data structural example 2 of the personnel personal information storage database in this embodiment. It is a figure which shows the process flow example 4 of the personnel planning method in this embodiment. It is a figure which shows the data structural example 1 of the personnel personal information storage database in this embodiment. It is a figure which shows the process flow example 5 of the personnel planning method in this embodiment. It is a figure which shows the structural example of the personnel plan storage database in this embodiment. It is a figure which shows the process flow example 6 of the personnel planning method in this embodiment. It is a figure which shows the personnel plan data table example 1 accompanying the personnel replacement | exchange process in this embodiment. It is a figure which shows the personnel plan data table example 2 accompanying the personnel replacement | exchange process in this embodiment. It is a figure which shows the example of an output of the personnel plan in this embodiment.

--- System configuration example ---
Embodiments of the present invention will be described below in detail with reference to the drawings. FIG. 1 is a diagram illustrating a configuration example of a personnel planning system 201 according to the present embodiment. In the present embodiment, an example of personnel planning support technology that reduces the upward risk of physical quantity in consideration of personnel productivity in the logistics business is illustrated. The personnel plan here assumes a scene in which a personnel plan for the next month is made at the end of a certain month, for example. In addition, the quantity ordered from the customer on each day of the next month can be predicted to some extent by information from the customer, and is estimated as a planned quantity (planned quantity of quantity) in a warehouse that handles logistics operations. However, until the next month when the business is done, the actual quantity ordered on each day is unclear and there is a risk of an upswing. Therefore, the personnel planning system 201 illustrated in FIG. 1 is a computer system that enables generation of a personnel plan that can cope with a risk associated with an upward fluctuation in the amount of material.

  As shown in FIG. 1, a hardware configuration example of the personnel planning system 201 includes a storage device 2013 configured by an appropriate nonvolatile storage element such as an SSD (Solid State Drive) or a hard disk drive, and a volatile storage element such as a RAM. It includes at least a CPU 2011 (arithmetic unit) for performing overall control of the apparatus itself by executing the program 2012 stored in the memory 2012 and the storage device 2013 by reading it into the memory 2012 and performing various determinations, computations, and control processes. It is out.

  In addition, the personnel planning system 201 includes a recording medium reading device 203 that performs a reading operation on the recording medium 202, a keyboard that receives input from a user, an input device 204 such as a mouse, and an output device 205 such as a display that displays processing results. And connected through a predetermined interface. Note that the recording medium 202 described above records programs and data. The recording medium reader 203 reads programs and data from the recording medium 202 and stores them in the memory 2012. Therefore, for example, the program 2015 stored in the memory 2012 can be read from the recording medium 202 using the recording medium reader 203 and stored in the memory 2012.

  As the recording medium 202, for example, a CD-ROM, DVD-ROM, hard disk, flexible disk, semiconductor memory, magnetic tape, or the like can be used. The recording medium reading device 203 can be either built in the personnel planning system 201 or can be externally attached.

  The storage device 2013 stores a program 2015 for implementing functions necessary for the personnel planning system 201 of the present embodiment, and data necessary for various processes. The data includes at least a quantity / man-hour storage DB 3014, a man-hour prediction formula storage DB 3015, a personnel personal information storage DB 3016, a personnel plan storage DB 3017, and a calendar master DB 3018, which will be described later.

  Then, the function with which the personnel planning system 201 of this embodiment is provided is demonstrated. As described above, the functions described below can be said to be functions that are implemented when the CPU 2011 of the personnel planning system 201 executes the program 2015 in the memory 2012, for example.

  The personnel planning system 201 is based on the planned value of the quantity stored in the quantity / man-hour storage DB 3014 and the productivity information of the person stored in the personnel personal information storage DB 3016. It has a function to generate a basic plan for personnel planning for processing a quantity with a predetermined number of personnel having a predetermined productivity.

  Further, the personnel planning system 201 relates to each period in the above-mentioned personnel plan basic plan, the planned amount and actual value of the physical quantity in the past simultaneous period and the peripheral period of the corresponding simultaneous period from the physical quantity / man-hour storage DB 3014 of the storage device 2013. Read out, calculate the upside of each actual value from each planned value and the variance of the upside, and distribute the upside by the number of personnel specified in the above-mentioned basic plan for personnel planning for the relevant period It is equipped with a function to calculate the risk value of the upward movement of the quantity at each period.

  In addition, the personnel planning system 201 ranks each period in the above-mentioned basic plan for personnel planning according to the magnitude of the risk value calculated above, and works at a high risk period that is higher than a predetermined order, such as the highest in the time period. Among the assigned personnel, those who are less productive than other employees and whose productivity is highly time-divided, and those who are assigned to work in low-risk periods that are lower than the predetermined rank, such as the lowest rank in the time period, etc. It has a function to generate a work plan by exchanging work assignments with a person who is more productive than a person and whose productivity is less timely distributed.

  In addition, the personnel planning system 201 subtracts the time variance of the relevant personnel with respect to the relevant time from the productivity of each personnel assigned to work at each time in the above-mentioned basic plan of personnel planning, during the generation of the personnel plan. Therefore, the minimum productivity of each employee at each period is calculated, and the average of organizational productivity, which is the average of the minimum productivity of each employee, and the distribution of organizational productivity, which is the variance of the minimum productivity, are calculated. It has a function to calculate.

  In addition, whether the personnel planning system 201 can process the estimated maximum quantity obtained by adding the upside of the actual value at each time of the above-mentioned basic plan for personnel planning to the planned value during the relevant time as an organizational productivity average for the relevant time It has a function to judge.

  In addition, the personnel planning system 201 determines, among the personnel who are not assigned to work at the relevant time, in order from the higher risk time, in the order of higher ranking, among the times when it is determined by the above-described determination that the estimated maximum amount cannot be processed. , Identify the reinforcers whose productivity is higher than the average organizational productivity for the relevant period, and whose productivity diversifies less than the organizational productivity diversification. It has a function to replace the work assignment of reinforcement personnel at risk time with work assignment at high risk time.

  Further, the personnel planning system 201 is a person who is not assigned to work at the low-risk time that is subject to the above-described work assignment replacement processing, and among the personnel who are assigned work at the high-risk time, Identifies exchange personnel whose productivity is lower than the average organization productivity and whose production time variance is higher than the organizational productivity variance. It has a function to replace the work assignment for the time.

  In addition, the personnel planning system 201, when specifying the above-mentioned reinforcement personnel, is more productive among the personnel whose productivity is higher than the average organizational productivity for the relevant period and whose productivity is less than the variance in organizational productivity. When identifying high-skilled personnel and identifying exchange personnel, productivity is lower among those who are less productive than average organizational productivity in terms of high-risk periods and higher in time-varying productivity than organizational productivity variance Has the function to identify personnel.

  In addition, the personnel planning system 201 determines whether or not the relevant period is determined based on the productivity of each person assigned to work at a low-risk time when the work assignment of the replacement person is replaced prior to the replacement of the work assignment of the replacement person described above. Calculate the minimum productivity and organization productivity average of each person at low risk periods by subtracting the time variance of personnel, and the estimated maximum quantity at the low risk period is the average of the organization productivity calculated above. It has a function to determine whether it can be processed during the time.

  In addition, when it is determined by the above-described determination that the processing of the estimated maximum quantity is not possible, the personnel planning system 201 may cancel the work assignment replacement process for the reinforcing personnel and can process the estimated maximum quantity. When it is found out, it has a function of executing a work assignment replacement process for replacement personnel.

  In addition, when generating the above-described personnel plan basic plan, the personnel planning system 201 uses the man-hour prediction formula of the storage device 2013 for the day of the week or the execution date of the specific task for each day included in the predetermined plan target period. It has a function of reading out from the prediction formula storage DB 3015 and inputting the planned value of the physical quantity related to the estimated man-hour date into the read man-hour prediction formula to calculate the predicted man-hour.

  Further, the personnel planning system 201 has a function of calculating the required number of workers for each day by dividing the estimated man-hours calculated for each day by the average working hours between the personnel acquired in advance.

  In addition, the personnel planning system 201 executes a work assignment of personnel for leveling the excess / deficiency rate of the man-hours under the condition of the required manpower with respect to the above-mentioned predicted man-hours by using a predetermined algorithm. It has a function to generate.

  In addition, the personnel planning system 201 acquires each piece of information of the work amount for each day of the week and the execution date of the specific job, and the work time of the corresponding day of the week and the execution date of the specific job with the input device 204, and the above-described work Divide the physical quantity by the working time on the day of the week or the execution date of the specific job to calculate the productivity of each person, and determine the productivity of each person from the calculated productivity of each day of the week and the execution day of the specific job. A function is provided for calculating the variance, and storing each piece of information on the productivity of each day of the week and the execution date of the specific job and the time variance of the productivity in the personnel personal information storage DB 3016 of the storage device 2013. Yes.

  In addition, the personnel planning system 201 uses the input device 204 to specify the past predetermined time or the latest period to be processed with respect to the information on the planned value of the quantity related to the past predetermined time and the actual value of the man-hour required at the relevant time. And the plan value of the physical quantity related to the past predetermined time or the latest period designated here and the actual value of the man-hour are obtained from the physical quantity / man-hour storage DB 3014 of the storage device 2013.

  Further, the personnel planning system 201 indicates a correspondence relationship between the planned quantity value and the actual man-hour value at the predetermined time, based on the planned quantity value and the actual man-hour value acquired with respect to the above-described predetermined time period. It has a function to calculate a seasonal line format for each day of the week and each execution day of a specific job.

  In addition, the personnel planning system 201 shows the correspondence between the planned quantity value and the actual man-hour value in the latest period, based on the planned quantity value and the actual man-hour value acquired in the past most recent period. It has a function to calculate the nearest line format for each day of the week and each execution day of a specific task.

  The personnel planning system 201 has a function of searching for a weighting coefficient of a linear sum formula and determining a man-hour prediction formula so that the correlation value of the sum of the above-mentioned nearest line format and seasonal line format becomes the highest. Yes.

  In addition, the personnel planning system 201 accepts actual values of physical quantities and man-hours at the input device 204 after the completion of work on each day, and stores the actual quantities that are actually processed in the physical quantity / man-hour storage DB 3014 of the storage device 2013. Update each information of the actual value and the actual value of the man-hours actually required, and based on each information after the update, calculate the above-mentioned nearest line format and seasonal line format and determine the man-hour prediction formula Has the function to execute.

In addition, the personnel planning system 201 includes buttons for generating the above-mentioned basic plan for the personnel plan, an instruction for calculating the risk value for the upward movement in quantity, and an instruction for optimizing the personnel plan corresponding to the generation of the personnel plan, Information indicating the risk value of the period and the rank according to the magnitude of the risk value, and among the personnel assigned to work at the above high risk period, the productivity is lower than other persons and the time distribution of productivity is Emphasizing work assignments that switch between high personnel and those who are assigned to work at low-risk times where the above ranking is lower than the specified ranking, and that are more productive and less productive than other employees. And information that includes at least the information to be displayed on the output device 205.
--- Processing flow example ---
Hereinafter, the actual procedure of the personnel planning method in the present embodiment will be described with reference to the drawings. Various operations corresponding to the personnel planning method described below are realized by a program 2015 that the personnel planning system 201 reads into the memory 2012 and executes. And this program 2015 is comprised from the code | cord | chord for performing the various operation | movement demonstrated below.

  FIG. 2 is a flowchart showing a processing procedure example 1 of the personnel planning method in the present embodiment, and specifically shows an example of a main flow.

  In step 101 of this flow, the personnel planning system 210 determines the planned quantity (planned quantity of each day), new product release date (specific work execution date), and new product release date in the target month of the personnel plan specified by the user. The input device 204 receives each piece of information on a preparation date (execution date of a specific job) such as picking in advance toward the user, and calculates the required man-hour for each day.

  Each information received by the input device 204 in step 101 is stored in the physical quantity / man-hour storage table 401 in the physical quantity / man-hour storage DB 3014 of the storage device 2013 by the personnel planning system 210. FIG. 3 shows the quantity / man-hour data table 401. The physical quantity / man-hour data table 401 includes at least a date 402, a day of the week 403, a planned physical quantity 404, an actual physical quantity 405 (actual actual quantity value), an actual practical effort 406 (actual actual quantity value), a necessary (predicted) effort 407, It is a table which has each value of the required number of persons 408, the number of persons going to work 409, the new product flag 410, and the preparation flag 411.

  The personnel planning system 210 generates this physical quantity / man-hour data table 401 for each personnel planning month and stores it in the physical quantity / man-hour storage DB 3014. Of the values in the physical quantity / man-hour storage table 401, the values of the date 402 and the day of the week 403 are information obtained from the calendar master database 3018 by the personnel planning system 210 and set for the date of the month in which the personnel planning is performed. And information of the day of the week.

  Also, the planned quantity value received from the input device 204 in step 101 is stored as the value of the planned quantity 404 in the quantity / manhour storage table 401 by the personnel planning system 210 using the corresponding date 402 as a key. In addition, the personnel planning system 210 uses the corresponding date 402 as a key in accordance with the new product release date and the purchase date information received from the input device 204, and sets each value of the new product flag 409 and the purchase flag 410. 1 is set as a flag to set that the corresponding day is the execution date of the specific job.

  Next, details of the required man-hour calculation process in step 101 will be described with reference to FIG. FIG. 4 is a diagram for explaining the processing flow for determining the estimated man-hour calculation formula, and calculating the estimated man-hours for each day of the personnel planning month by inputting information such as the planned quantity of items, new product release date, and preparation date from the user. It is.

  The personnel planning system 210 in this flow uses the information such as the above-mentioned day of the week, new product release date, and preparation date to determine the man-hour prediction formula to be used from the predicted man-hour calculation formula master table 501 in the man-hour prediction formula storage DB 3015. Call one. FIG. 5 is a diagram illustrating a configuration example of a predicted man-hour calculation formula master table 501 held in the man-hour prediction formula storage database 3015. The predicted manhour calculation formula master table 501 is a table having at least the values of the day of the week / business special day 502 and the manhour prediction formula 503.

  Here, first, the personnel planning system 210 reads the new product flag 410 of the physical quantity / manhour data table 401 with respect to the estimated man-hour of the manpower-planning month, and if the flag is “1”, the day / business special day 502 is read. Among them, the man-hour prediction formula 503 of “new product” is called (step 601).

  Further, the personnel planning system 210 reads the preparation flag 411 of the quantity / manhour data table 401 with respect to the above-described man-hour prediction date. If the flag is “1”, the man-hour prediction of “preparation” on the day of the week / business special day 502 is performed. Expression 503 is called (step 602).

  Further, the personnel planning system 210 reads the new product flag 410 and the preparation flag 411 of the quantity / man-hour storage data table 401 for the above-described estimated man-hours. If each flag is “0”, the day / day of the day / day 403 is used as a key. The man-hour prediction formula 503 for the business special day 502 is called (step 603).

  Next, the personnel planning system 210 inputs the value of the planned quantity 404 held in the quantity / hours data table 401 with respect to the estimated number of days with respect to the estimated number of processes called in the above-described steps 601, 602, and 603, and calculates the estimated number of processes. It is calculated and stored in the necessary (predicted) man-hour 407 of the quantity / man-hour data table 401.

  Here, the man-hour prediction formula and the updating method thereof will be described with reference to FIGS. 6 shows a calculation concept of a man-hour prediction formula (correlation formula) based on past data, and FIG. 7 receives information on past actual man-hours and actual quantities from the user, and updates the man-hour prediction formula every day. It is a figure explaining the processing flow. First, the calculation concept of the man-hour prediction formula will be described with reference to FIG.

  As shown in FIG. 6, the man-hour prediction formula 702 using the planned quantity as an input plots the corresponding data in the quantity / man-hour storage table 401 with the planned quantity 703 on the horizontal axis and the actual quantity 704 on the vertical axis. It can be assumed that a linear regression equation is obtained and calculated. Here, the actual man-hour refers to the man-hour actually processed for the planned quantity by the person in charge of logistics work. In addition, when the number of man-hours by non-regular workers such as temporary workers is included in the actual man-hours, for example, the man-hours converted from the man-hours of the irregular workers may be used. Moreover, in this embodiment, although the plan quantity is taken on the horizontal axis and the man-hour calculation formula is calculated, the actual quantity may be taken on the horizontal axis. In any case, the one with better prediction accuracy is adopted.

  Here, since the quantity has a characteristic that varies depending on the season, the influence of seasonality is reflected in the man-hour prediction formula f (707) using the X month past data 705 of the same month in the past such as the same month of the previous year and the same month of the previous year. On the other hand, in order to reflect the latest tendency, the man-hour prediction formula g (708) is calculated using the past data 706 of the latest Y months. These formulas f (707) and g (708) are combined to calculate the manhour prediction formula 702. The example of FIG. 6 is an example in which the Monday man-hour prediction formula 702 is calculated. Here, the above-mentioned X months and Y months, which are past data sampling periods, may be received from the user by the input device 204.

  Note that a weighting coefficient α (709) may be introduced in order to weight each influence factor of the seasonality factor and the latest factor in the man-hour prediction formula 702. In this case, the personnel planning system 210 calculates a correlation between the man-hour prediction formula 702 once generated and the past data held in the physical quantity / man-hour storage table 401, and the weighting coefficient α (709) having the highest correlation value is calculated. The value may be determined.

  The personnel planning system 210 updates the man-hour prediction formula generated in this manner as appropriate. The details of the manhour prediction formula update process will be described with reference to FIG. In this flow, the personnel planning system 210 receives the change designation of the sampling period X months of the seasonal past data by the input device 204 (step 801), or the sampling period Y months of the latest past data by the input device 204. When the change designation is accepted (step 802), the past data adoption period X months or Y months changed by the above designation from the quantity / man-hour storage database 3014 to the present quantity / man-hour data table 401 Plan amount 404 and actual man-hour 406 are acquired (step 805).

  Subsequently, the personnel planning system 210 calculates the seasonal line form f (707) and the nearest line form g (708) as described above based on the past data of the planned quantity 404 and the actual man-hour 406 obtained in step 805 described above. The day of the week / business special day 502 is calculated for each business day and business special day (step 806).

  On the other hand, after the daily logistics operation in the warehouse or the like is finished, the personnel planning system 210 accepts the actual man-hour and the actual physical quantity value input by the input device 204 when the user inputs the actual man-hour value and the actual physical quantity data table. 401 is stored as each of the actual quantity 405 and the actual man-hour 406 (step 803). Therefore, the above-described steps 801 and 802 and step 803 can be processed in parallel.

  In this case, the personnel planning system 210 sets the value of the new product flag 410 and the preparation flag 411, that is, “1” or “0” as the quantity / value for the corresponding day on which the input of the actual man-hour and the actual quantity is received in the above-described step 803. Obtained in the man-hour storage table 401, if any flag has a value of "0", the value of the day of the week 403 is obtained (step 804).

  Also, the personnel planning system 210 matches the day of the week obtained in step 804 or the information on the specific job (new product release, preparation), that is, the actual man-hour and the attribute of the day when the actual quantity was updated (new product release, preparation, day of the week). Then, the values of the planned quantity 404 and the actual quantity 406 of the quantity / hours data table 401 up to the present time are acquired from the quantity / hours storage database 3014 for the past data adoption period X months and Y months (step 807). ).

  Further, the personnel planning system 210 uses the seasonal line format f (707) that matches the attribute of the day when the above-mentioned actual man-hours and actual man-hours are updated from the past data of the planned man-hours 404 and the actual man-hours 406 obtained at the above-mentioned step 807. ) And the nearest line form g (708) are calculated (step 808).

Next, following the above-described step 806 or step 808, the manpower planning system 210 has a man-hour prediction formula composed of the sum of the seasonal line form f (707) and the nearest line form g (708) calculated as described above. The weighting coefficient α _{day of week / special day} of the linear sum formula is set to 0.01 from 0 to 1 so that the correlation value between 702 and the past data of the planned quantity 404 and the actual man-hour 406 becomes the highest. And the man-hour prediction formula 702 is determined and updated (step 809).

  Returning to the description of the main flow in FIG. In step 102, the personnel planning system 210 calculates the necessary (predicted) man-hour / average labor time from the necessary (predicted) man-hour 407 in the quantity / man-hour data table 401 of each day, and the required number of personnel for each day. Is calculated and stored as the value of the required number of personnel 408 in the physical quantity / man-hour data table 401. Here, it is possible to assume a value obtained by receiving from the user by the input device 204 for the average work time of the personnel. Or you may assume the value which averaged the normal working hours working on the 1st prescribed | regulated by the contract with each staff among all the staff. In this embodiment, it is assumed that the average staff working time is 7 hours.

  Next, in step 103, the personnel planning system 210 assigns personnel shifts to the required (predicted) man-hours 407 of each day so that the excess / shortage rate of man-hours is leveled, and the personnel plan first plan (personnel plan) Create a basic plan). The personnel planning system 210 uses the appropriate means such as a genetic algorithm to draft the first draft of the personnel plan that matches the number of heads in the process of leveling the excess / deficiency rate of the required (predicted) man-hours 407 for each day. Can be assumed. Note that leveling is a premise of the idea that even if the required man-hours are not excessively high or low, there will be equal resistance against an increase in quantity. In this embodiment, in order to absorb the upside risk of the quantity while maintaining this assumption, pay attention to the average and variance of the productivity of the personnel, and on the day when the upside risk of the quantity is high, the average productivity is high. , Adjust the personnel to arrange personnel with small variance.

Here, an example of the employee personal information storage database 3016 for storing employee productivity data will be described. FIG. 8 is a personnel personal information data table 901 stored in the personnel personal information storage database 3016. This personnel personal information data table 901 is a table having at least the values of personnel ID 902, contract start month 903, working days 904, working hours 905, day / business special expenses 906, productivity average 907, and productivity variance 908. is there.

  Among these values, values of personnel ID 902, contract start month 903, working days 904, working hours 905 are values set by the input device 204 from the user when the contract of the corresponding personnel is updated. Further, the value of the day of the week / business special day 906 is the same value as the day of the week / business special day 502 of the predicted manhour calculation formula master table 501 described above stored for each personnel ID. In addition, the value of the working days 903 means the number of working days in January contracted with personnel. In the present embodiment, it is assumed that the number of workers working in one month is fixed within the scope of the initial contract and is not increased. Further, the value of the working time 905 is a normal working time working for one day contracted with a staff member. Note that the average work hours for calculating the required number of personnel in step 102 described above may be calculated by using the average of all the work hours 905. Each value of the productivity average 907 and the productivity variance 908 is updated daily. The details of this update processing will be described with reference to FIG.

  FIG. 9 is a diagram illustrating a personnel productivity update processing flow. First, a data table used for update processing will be described. FIG. 10 is a diagram showing a personnel personal work information data table 1001 stored in the personnel personal information storage database 3016. The personnel individual work information data table 1001 has at least date information 1002 and a personnel ID 1003. With respect to the corresponding personnel on the corresponding date, a work start time 1004, a work end time 1005, a break time 1006, a work time 1007, and a work amount 1008. It is a table which has each value of. Each piece of information in the table 1001 may be automatically acquired by the personnel planning system 210 each day from an attendance system other than the personnel planning system 210 or may be received from the user by the input device 204. The work time 1007 is a value calculated by subtracting each value of the work start time 1004 and the break time 1006 from the value of the work end time 1005.

  In step 1101, the personnel planning system 210 using the personnel individual work information data table 1001 calculates the current period from the contract start month 903 (FIG. 8) of each staff, and sets the productivity update period of each staff. To do. Here, the productivity update period may be a contract period with personnel, for example, three months as the productivity update period.

  Subsequently, in step 1102, the personnel planning system 210 calculates the productivity of each day for each person in the above-described productivity update period by dividing the value of the work amount 1008 by the value of the work time 1007 for every total number of days. The average of productivity for each person is calculated by calculating the average of the values calculated here for each new product release date, each preparation date, and every other day of the week.

  In addition, the personnel planning system 210 in step 1102 calculates the productivity average value calculated for each day attribute as described above in the personnel personal information data table 901 on the day of the week / business special day when the attribute matches each day. Stored in the productivity average 907 of 906 records.

  Next, in step 1103, the personnel planning system 210 determines the productivity distribution of each day of the week or the execution date of a specific task based on the productivity of each day of each member calculated in step 1102 described above, that is, productivity. Is stored in the productivity distribution 908 of the record of the day of the week / business special day 906 whose attribute matches each day in the personnel personal information data table 901. The productivity variance calculation process may be executed using an existing algorithm for variance calculation.

  Returning to the description of the flow in FIG. In step 104, the personnel planning system 210 calculates the upward risk of the quantity for each day in order to quantify the influence of the upward risk of the quantity. Details of step 104 will be described with reference to FIG. In this case, in step 1301, the personnel planning system 210 reads the value of the actual amount 405 of the same day of the same week of the same month in the previous year of each day of the personnel planning month from the amount / man-hour data table 401.

  In step 1302, the personnel planning system 210 obtains the value of the actual quantity 405 in the above-described step 1301, and the same day of the same month of the same month of the previous day of the personnel planning month, such as ± R weeks, etc. Then, the time axis is moved back and forth on the same day of the week to calculate the amount of upward movement from the planned amount 404, and the variance is calculated. In addition, in the ± R week on the same day, when there is only a downside from the planned quantity 404, the variance is set to “0”. In addition, the above-mentioned number of weeks R that moves on the time axis is received from the user by the personnel planning system 210 by the input device.

Next, in step 1303, the personnel planning system 210 calculates the total number of attendances with “○” in the personnel ID 1206 of the personnel plan table 1201 (FIG. 12) as the planned attendance, and the quantity / manhour data table 401. Is stored in the number of scheduled attendances 409.

  In step 1304, the personnel planning system 210 uses the variance of the physical quantity upturn obtained in step 1301 and the number of planned attendances obtained in step 1303, and uses the evaluation function: physical quantity upside variance / number of planned attendances. The evaluation value of the upside risk of the quantity of each day is calculated.

  In step 1305, the personnel planning system 210 determines the upward risk ranking of each day for the month based on the evaluation value of the upward risk of the amount obtained in step 1304 described above, and the risk ranking 1205 of the personnel planning data table 1201. To store.

  FIG. 12 is a diagram showing a personnel plan table 1201 of the personnel plan storage database 3017 that stores information on the upside risk of each day of the personnel plan month. The personnel plan table 1201 includes at least the values of date 1202, day of week 1203, runout risk evaluation value 1204, risk ranking 1205, personnel ID 1206, man-hour 1207, productivity average 1208, and productivity variance 1209. It is a table that has.

  Among these, the personnel ID 1206 stores the personnel ID 902 of the personnel personal information data table 901. In addition, regarding the date 1202 in which the corresponding employee goes to work, that is, the work assignment is set, “○” is displayed in the column of the corresponding personnel ID 1206, and in the column of the corresponding personnel ID 1206 for the date 1202 in which no work assignment is set. Has a symbol such as “×”.

  Also, the man-hour 1207 stores the sum of the working hours 905 of the personnel personal information data table 901 of all attendees on the corresponding date 1202. Further, the productivity average 1208 and the productivity variance 1209 include the productivity average 907 and the productivity variance 908 average of the employee personal information data table 901 of the attendance personnel with “○” in the personnel ID 1206 of the personnel plan table 1201. Is stored. Therefore, the productivity average 1210 and the productivity variance 1211 are the productivity of the entire organization composed of the personnel whose work assignment is set on the corresponding day. Further, the shake risk evaluation value 1204 and the risk ranking 1205 are values calculated in the processing flow for calculating the upward risk of the physical quantity described above with reference to FIG.

  Returning to the description of the flow in FIG. In this case, in Step 105 to Step 106, the personnel planning system 210 uses the risk ranking 1205 of the personnel planning data table 1201 stored in Step 1305 described above, and uses the risk ranking 1205 in the first personnel planning drafted in Step 103. On the higher days, set work assignments for personnel with high productivity average and small variance (persons who were assigned work assignments on other days), while productivity is low on risk lower days By setting work assignments for highly dispersed personnel (persons whose work assignment was set on the day with the highest risk ranking described above), that is, by repeating the process of replacing work assignments until there are no candidates for replacement personnel Create a personnel plan by optimizing the first draft of the personnel plan.

Details of this series of processing will be described with reference to FIG. FIG. 13 is a diagram illustrating a processing flow example 6 of the personnel planning method according to the present embodiment. In this case, in step 1401, the personnel planning system 210 is a personnel whose work assignment is set on a predetermined day in the above-mentioned first personnel plan (eg, the highest risk ranking 1205 among unprocessed days). ,
Organizational (productivity average-variance)
≧ {(planned quantity + quantity upward variance) / (necessary (predicted) man-hours in (plan quantity + quantity upward variance)}}
It is determined whether the conditional expression is satisfied. This means that the productivity of the organization (right side of the inequality formula) necessary to increase the amount of material on the day increases, and the productivity of the organization where the productivity of all personnel assigned on that day has fallen (inequality sign). Even if it becomes the right side) of the formula, it is a process that evaluates whether or not the upside risk of quantity has been secured. If the above condition is satisfied (step 1401: YES), the personnel planning system 210 ends the process.

  Here, among the above-mentioned conditional expressions, the personnel plan system 210 calculates the product amount upside variance of (planned amount + amount upside variance) by multiplying the runout risk evaluation value 1204 by the scheduled attendance number 409. In addition, regarding the conditional expression (necessary (predicted) man-hours in (planned amount + amount upward variance)), the personnel planning system 210 processes the value of (planned amount + amount upward variance) in step 101. Then calculate again.

On the other hand, when the risk is not secured in the above-described step 1401 (step 1401: NO), the personnel planning system 210 starts the year of the personnel planning table 1201 from the xth day in which the risk ranking 1205 is the highest in step 1402. The month and day 1202 is marked with “x” in the personnel ID 1206 of the x day, that is, the employee without work assignment, the day of the x day, the productivity average of the organization <the productivity average of a certain person, and
・ Distribution of organizational productivity> Distribution of productivity of certain personnel
Are extracted in descending order of productivity average and then in descending order of variance. However, the person A who cannot find a replacement partner described later in step 1407 is excluded.

  Next, in step 1403, the personnel planning system 210 has executed the above-described step 1402 for all personnel with an “x” in the personnel ID 1206 for x days in the personnel planning table 1201, that is, no personnel assignment. It is then determined whether there are any more candidates.

  If there is no candidate as a result of this determination (step 1403: YES), the personnel planning system 210 shifts the processing target date to the date x with the next highest risk ranking 1205 in step 1409. In the present embodiment, Z is used as the variable representing the risk ranking described above, and Z = Z + 1 is performed as the specific processing of step 1409. Here, 1 ≦ Z ≦ W, and W is calculated by comparing the planned amount 404 and the actual amount 405 of the up-and-down swing days in the same month of the previous year that exceed the amount swing range in question.

  Subsequently, in step 1410, the personnel planning system 210 terminates the process when the risk rank 1205 is greater than W (step 1410: NO), and if it is equal to or less than W (step 1410: YES), the process proceeds to step 1401. return.

  Here, when the candidate of the personnel A is found in the above-described step 1402 and the following step 1403 is not satisfied (step 1403: NO), the personnel planning system 210, in step 1404, assigns the work allocation of this personnel A for x days. Is replaced with the work on the day y with the lowest risk rank 1205 on the day when the employee A is assigned to work. However, y day ≠ x day.

In step 1405, the personnel planning system 210 is the same as the above-described personnel A in the personnel ID 1206 of the personnel planning table 1201 on day y described above, that is, among the personnel with no work assignment. From the employees who are working hours 905 and assigned to x days,
・ Organization productivity average> A certain personnel productivity average, and ・ Organization productivity dispersion <A certain personnel productivity dispersion,
Are extracted in descending order of productivity average and then in descending order of variance.

  Next, in step 1406, the personnel planning system 210 determines that there is no candidate for the personnel B as described above, or “the number of overtime man-hours for the personnel on day y” <((organization productivity average−productivity variance). It is determined whether or not the conditional expression (required man-hours for upward dispersion of physical quantity) is satisfied. If the above conditional expression is not satisfied by this determination (step 1406: NO), the personnel planning system 210 replaces the work of day B of the personnel B with the work of day x in step 1408. On the other hand, if the above-described conditional expression is satisfied (step 1406: YES), the personnel planning system 210 returns the above-described replacement of the personnel A in step 1407 and returns the processing to step 1402 in order to cancel the above-mentioned work replacement. .

  Here, “the number of man-days that can be overtime for the y-day personnel” refers to, for example, the man-hours that can be secured when overtime is worked for 50% for 2 hours, and is a numerical value such as 50% or 2 hours. May be accepted by the personnel planning system 210 from the user via the input device 204. Or, the ratio remaining in overtime for the first hour may be set to 50% of allotted personnel, 2.5% for the second hour, etc., and the personnel planning system 210 may set a value reduced by half. Alternatively, the personnel planning system 210 may calculate and determine the ratio of the number of employees who have worked overtime after the normal working hours of each day of the week from the actual result of the end time 1005 one month before the personnel planning month.

  Further, the required man-hours for the upward fluctuation of the quantity in (productivity average−productivity dispersion) is calculated by “the upward fluctuation dispersion of the quantity calculated in step 1302” / “average productivity 1208−productivity dispersion 1209”. If the number of man-hours satisfying the requirement “the number of man-days that can be overtime for y-day personnel” <the organization's “productivity average 1208—the required man-hours for the upward fluctuation distribution of the quantity calculated in step 1302 in the productivity variance 1209” The increase in man-hours due to fluctuations can be covered by overtime work, so it turns out that there is no problem even if the workforce is replaced.

  A conceptual example of the personnel replacement process described above with reference to FIGS. FIGS. 14 and 15 are examples in which a personnel plan for “January 2014” is drawn up. In such a personnel plan table 1201, in the record in which the date 1202 is “201410101” and the day of the week 1203 is “Wednesday”, the value of the upward fluctuation distribution “9000” calculated in the above-described step 1302 and the number of employees scheduled to attend work In this example, the shake risk evaluation value 1204 is calculated as “9000/30” or the like from the value “30 people” of 409. Further, the shake risk evaluation value 1204 is calculated in the same manner for the records with the date 1202 of “201404102” and “20140103”, and as a result, the risk ranking 1205 of the upside of the quantity has the date 1202 “20140101” is first place. The risk ranking is similarly applied to the other dates 1202, “20140102” and “20140103”.

  Accordingly, the personnel planning system 210 first assigns a work assignment with “x” in the personnel ID 1206 of the personnel plan table 1201 to the record whose risk ranking 1205 is first and whose date 1202 is “20140101”. Nothing is searched, and the person whose personnel ID 1206 is “002” is specified.

In addition, the personnel planning system 210 has a record in which the date 1202 is “20140101”, the current productivity average 1208 of the organization is “63.5 records / MH”, and the productivity variance 1209 is “6 records / MH”. On the other hand, regarding the employee whose personnel ID 902 is “002”, the productivity average and productivity variance on the day of “201410101”, that is, “Wednesday” are “72 records / MH” and “5 records / MH”, respectively. Therefore, in the above-mentioned step 1402, the average productivity of the organization = 63.5 records / MH <the average productivity of personnel “002” = 72 records / MH and the distribution of the productivity of the organization = 6 records / MH> personnel Productivity distribution of “002” = 5 records / MH
Therefore, the above-mentioned personnel “002” is selected as a candidate for replacement personnel (that is, reinforcement personnel).

  In the above-described step 1404 (FIG. 13), as a result of searching for the attendance allocation date with “◯” for the personnel ID 1206 “002” in the record of “20th” having the lowest risk ranking 1205, the risk ranking “ “20th place” date 1202 “20140103” can be specified. Therefore, the personnel planning system 210 replaces the work assignment of the personnel “002” between the record whose date 1202 is “20140101” and the record whose date 1202 is “20140103”.

In addition, in the record whose date 1202 is “20140101”, searching for a member with “x” in the personnel ID 1206, that is, a member with no work assignment, it is possible to identify a member with a personnel ID 1206 of “003”. The productivity average 1208 of the organization whose current date 1202 is “20140101” is “63.5 records / MH” and the productivity variance is “6 records / MH”, whereas the personnel ID 902 is “ “003” individual “Wednesday” productivity average and productivity variance are “57 records / MH” and “7 records / MH” respectively, so in step 1405 ・ Organization productivity average = 63.5 records / MH> Production average of personnel “002” = 57 records / MH and.
・ Production dispersion of organization = 6 records / MH <Production dispersion of personnel “002” = 7 records / MH,
Is satisfied. Therefore, the personnel planning system 210 evaluates whether or not the increase in the man-hour due to the increase in the physical quantity can be covered by the overtime of each personnel whose work assignment is set on the corresponding day in the above-described step 1406. For example, the personnel planning system 210 evaluates that the overtime man-hours of “20140103” of the date 1202 are received from the user by the input device 204 as “50% of the personnel can work overtime for 2 hours”. Since the scheduled attendance number 409 of “20140103” on day 1202 is “100”, it can be calculated that “100 MH” can be secured by “100 people × 50% × 2 hours”.

  On the other hand, in the step 1302, the physical quantity fluctuation calculated for “20140103” of the date 1202 is “4000” records. Moreover, when the organization productivity average 1210 and productivity variance 1211 after replacing the work of the personnel ID 1206 “003” of “20140103” of the date 1202 with “20140101”, “65 records / MH” and “ 5 records / MH ". The manpower planning system 210 assumes the worst case, and when processing the above-described physical quantity increase “4000” record with “60 records / MH” of “65 records / MH-5 records / MH”, man-hours required Becomes “4000 records / 60 records / MH” = “66.7 MH”, and it is proved that this man-hour can be covered by the man-hour “100 MH” by the above-mentioned overtime.

  The staff plan table 1201 in FIG. 15 is a structure after the work of “20140103” and the work of “20140101” on the date 1202 in which the personnel ID 1206 is “003” are switched in step 1408 described above.

Here, for example, the productivity average 1210 of the organization after replacing the work with the personnel ID 1206 of “003” of “20130103” of the date 1202 with “20130101” is the individual with personnel ID 1206 of “001” and “003”. Productivity average 907, “71 records / MH + 59 records / MH” = “65 records / MH”, and the productivity variance 1211 is calculated in the same manner. As a result, the productivity average 1210 and the productivity variance 1211 of the organization “20140101” on the date 1202 are improved from “63.5 records / MH” to “68.5 records / MH”, respectively, The productivity average 1210 and the productivity variance 1211 of the organization of “20140101” on the date 1202 are decreasing and increasing, but the increase in the quantity has been reduced. Since it can be covered by overtime, it is possible to formulate a personnel plan that further reduces the upside risk of the quantity.
---- Output example ---
Next, an example of the personnel plan planning result displayed by the personnel planning system 210 in step 107 in the flow of FIG. 2 will be described. FIG. 16 is a diagram showing an output example of the personnel plan in the present embodiment. The personnel plan planning result output screen 1601 illustrated in FIG. 16 includes at least a personnel plan first drafting button 1602, a quantity fluctuation risk calculation button 1603, and a personnel plan optimization button 1604.

  The personnel planning system 210 may execute the above-described steps 101 to 103, step 104, and steps 105 to 107 by detecting the pressing of the above-described buttons 1602, 1603, and 1604. In addition, the personnel planning system 210 calculates the necessary (predicted) man-hours 407 for each day of the manpower-planning month and the necessary (predicted man-hours for (planned amount + amount of variance in the amount of fluctuation)) and the organization of the day. It is preferable that the required man-hours in the productivity average 1210 are calculated as (necessary (predicted) man-hours in the (planned amount + dispersion of product amount) / productivity average)) and displayed as bar graphs 1605, 1606, 1607. It is.

  Further, the personnel planning system 210 calculates the necessary man-hours considering the productivity variance 1211 as (necessary (predicted) man-hours in (planned amount + amount fluctuation)) / (productivity average + productivity variance) or ((plan It may be calculated by (necessary (predicted) man-hour) / (productivity average−productivity variance) in the product amount + product amount dispersion), and an arrow 1608 or the like may be displayed on the bar graph 1607 in consideration of the productivity average 1210. Further, the screen 1601 has a screen 1609 for displaying a personnel plan displaying “○” for attendance of each personnel ID 1206 for each day, “×” for unassigned, “off” for holidays, and “year” for annual holidays. ing. In this screen 1609, the risk ranking 1205 is set as the quantity fluctuation risk ranking 1610, the deflection risk evaluation value 1204 is set as the quantity fluctuation risk evaluation value 1611, the organization productivity average 1210 is set as the productivity average 1612, and the productivity variance 1211 is produced. The sex distribution 1613 may include a screen that displays the bar graphs 1605, 1606, and 1607 described above for each day of the week.

  Further, in the above-described screen 1609, manual adjustment by the user for the personnel plan is performed by using the touch panel as the input device 204 in the personnel planning system 210, attendance “O”, no assignment “×”, holiday “absence”, annual leave “year”. Each of the designations may include an I / F 1614 that can be designated by an operation in which the user moves his / her finger. As a result, the user confirms the upside of the physical quantity by comparing the bar graphs 1605 and 1606, and takes the manpower bar graph 1606 into consideration of the upside of the physical quantity and the fluctuation of the productivity of the personnel in the current personnel plan. Each information can be visually grasped by comparing with a bar graph 1607 indicating whether or not the information can be secured.

  In addition, the user determines whether or not the portion of the line 1 swayed downward in the arrow 1608 is higher than the man-hour bar graph 1606 in consideration of the quantity fluctuation, from the day with the highest quantity fluctuation risk. You can check in descending order.

  Also, the personnel planning system 210 displays the day 1615 and personnel ID 1206 under replacement on the screen 1609 underlined, and each of the attendance “○” and “no work assignment” that is the replacement target are displayed. Display information in bold. The personnel planning system 210 may display, on the screen 1609, the individual productivity average 16 and the productivity dispersion comment 1618 for each day of the week and each business content in a popup interface or the like for the display of the personnel ID 1206.

  Through such display processing by the personnel planning system 210, the user who has viewed the screen 1601 can easily compare the productivity of the personnel whose work assignment is to be replaced with the productivity of the organization on the corresponding day. Can confirm the increase or decrease of the productivity of the day.

  Although the best mode for carrying out the present invention has been specifically described above, the present invention is not limited to this, and various modifications can be made without departing from the scope of the invention.

  According to this embodiment, in the logistics business, the number of man-hours required for each day is estimated in consideration of the upward fluctuation of the quantity, the upward risk of the daily quantity is calculated, and each day corresponding to this risk is calculated. It is possible to support the planning of personnel plans that absorb the risk of the upward movement of the quantity by ranking the risk levels of each person and paying attention to the productivity and distribution of each personnel.

  Accordingly, it is possible to generate a personnel plan that can cope with the risk associated with the upward fluctuation of the quantity.

  At least the following will be clarified by the description of the present specification. That is, in the personnel planning system according to the present embodiment, the arithmetic unit, in the process of generating the personnel plan, from the productivity of each personnel assigned to work at each time in the personnel plan basic plan, By subtracting the time variance of personnel, the minimum productivity of each personnel at each time is calculated, and the average organizational productivity that is the average of the minimum productivity between each personnel and the minimum productivity A process for calculating a distribution of organizational productivity, which is a distribution of values, and an estimated maximum quantity obtained by adding an upside amount of the actual value in each period of the basic plan for personnel planning to the planned value, Among the processes that determine whether or not processing is possible during the corresponding period by sex average, and among the periods that are determined to be impossible to process the estimated maximum amount by the determination, in order from the higher risk period in which the ranking is higher Duty Among the unassigned personnel, identify the reinforcement personnel whose productivity is higher than the average organizational productivity for the relevant period, and whose productivity variance is lower than the organizational productivity variance, and the reinforcement personnel are assigned to work. The work allocation of the reinforcement personnel in the low risk period where the ranking is the lowest among the periods, and the work allocation in the low risk period subject to the work allocation replacement process Among the employees who are not assigned and are assigned to work at the high risk period, the productivity is lower than the average organizational productivity for the high risk period, and the time distribution of productivity is lower than the organizational productivity distribution. Identify high replacement personnel, and replace the replacement personnel's work assignment at the high risk time with the low risk time work assignment at which the reinforcement personnel were assigned. A process of changing is, may be one in which to run.

  According to this, in order from the time when the risk associated with the upward movement of the quantity is higher, competent personnel who stably demonstrate high productivity are allocated from other times to deal with the risk, and the contract regarding the work deadline is ensured. It becomes easy to comply.

  In the personnel planning system of the present embodiment, when the computing device identifies the reinforcement personnel, the computing device is more productive than the organization productivity average with respect to the relevant time, and the productivity variance is more than the organization productivity variance. Among the low personnel, the highly productive personnel are identified, and when identifying the exchange personnel, the productivity is lower than the tissue productivity average for the high risk period, and the productivity period is more than the tissue productivity variance. Among the highly dispersed personnel, the personnel with lower productivity may be identified.

  According to this, it becomes easy to deal with the risk by preferentially selecting and assigning highly productive personnel as the above-mentioned reinforcement personnel, and to ensure compliance with the contract regarding the work deadline.

  In the personnel planning system according to the present embodiment, the arithmetic unit is configured to produce each person assigned to work at the low-risk time when the work assignment of the replacement person is changed prior to the change of work assignment of the replacement person. From the characteristics, subtract the time variance of the relevant personnel for the relevant time period to calculate the minimum productivity of each person at the low risk time period and the average organization productivity, and the estimated maximum quantity at the low risk time period When the calculated average productivity of the calculated product can be processed during the corresponding period, and the determination shows that the processing of the estimated maximum quantity is not possible, the replacement of the work assignment relating to the reinforcement personnel Cancel processing, and if it is found that the estimated maximum quantity can be processed, execute the work assignment replacement processing of the replacement personnel In it, it may be used as the.

  According to this, after avoiding in advance the risk of insufficient quantity processing capacity caused by replacing work assignments between reinforcement personnel and exchange personnel, the above work assignments are replaced to deal with the risks, Ensure compliance with work deadline contracts.

  In the personnel planning system according to the present embodiment, the storage device includes a planned value of the quantity to be processed for each day of the week and a specific job execution day in the logistics work, and an actual value of the quantity actually required to be processed, and the logistics work. It is good also as storing each information of productivity of the direction staff, and the time dispersion | distribution of the said productivity.

  According to this, the productivity of logistics operations is easily handled differently for each day of the week and each execution date of specific operations (eg, shipping operations associated with the launch of new products), to deal with the above risks. , Make it easier to ensure compliance with work deadlines.

  In the personnel planning system according to the present embodiment, the storage device further stores a man-hour prediction formula for calculating a required man-hour by inputting a plan value of a quantity for each day of the week and for each execution date of a specific job, and the arithmetic unit Is to read the man-hour prediction formula of the corresponding day of the week or execution date of the specific job from the storage device for each day included in the predetermined plan target period when generating the basic plan for the personnel plan, and to the read man-hour prediction formula, Input the planned value of the physical quantity related to the estimated man-hours and calculate the estimated man-hours, and divide the calculated estimated man-hours for each day by the average working hours between the personnel acquired in advance. A process for calculating the number of personnel and a work assignment of personnel for leveling the excess / deficiency rate of man-hours under the conditions for the required number of personnel for the estimated man-hours of each day are executed using a predetermined algorithm, The And executes a process of forming, the may be.

  According to this, man-hours are accurately predicted based on the fact that the productivity of logistics operations tends to differ from day to day and from the execution date of specific operations (for example, shipping operations associated with the launch of new products). To generate a basic personnel plan and thus address the risks mentioned above, making it easier to ensure compliance with work deadlines.

  In the personnel planning system according to the present embodiment, the arithmetic device acquires each piece of information on the work amount for each day of the week and the execution date of the specific job, and the work time of the day of the week and the execution date of the specific job by the input device. The productivity of each person is calculated by dividing the work amount by the work time on the execution day of the corresponding day of the week or the specific job, and each productivity is calculated from the productivity of each day of the week and the execution day of the specific job. It calculates the productivity distribution of personnel, and further executes a process of storing each information of productivity and time distribution of productivity on each day of the week and the execution date of a specific job in the storage device. It is good also as.

  According to this, the productivity and distribution of each person can be regularly updated in accordance with the daily logistics operations performed by each person, so that the accuracy can always be kept good. Handles risks by improving the accuracy of basic plan plans and personnel plans, and makes it easier to comply with contracts related to work deadlines.

  In the personnel planning system according to the present embodiment, the storage device further stores the actual value of man-hours actually required every predetermined time in the logistics work, and the arithmetic device is a physical quantity related to a past predetermined time. For the information on the planned value and the actual value of the man-hour required at the relevant time, the input device accepts designation of the past predetermined time or the latest period to be processed, and relates to the specified past predetermined time or the latest period The planned value of the quantity and the actual value of the man-hour are acquired from the storage device, and the planned value of the quantity and the actual value of the man-hour at the predetermined time are obtained based on the planned value of the physical quantity and the actual value of the man-hour acquired with respect to the past predetermined time. The calculation of the seasonality line format indicating the correspondence relationship with each day of the week and the execution date of the specific task, and the planned amount and man-hour of the physical quantity acquired for the past most recent period Based on the result value, a process for calculating the nearest line format indicating the correspondence between the planned value of the physical quantity in the most recent period and the actual value of the man-hour for each day of the week and the execution date of the specific job; A process of searching for a weighting coefficient of a linear sum formula and determining a man-hour prediction formula may be executed so that the correlation value of the sum of the seasonal line forms becomes the highest.

  According to this, the man-hour prediction formula is periodically generated or updated in accordance with an instruction, for example, so that the prediction accuracy becomes good. As a result, the above-described personnel plan basic plan and personnel plan are more accurate. Deal with risks as a good thing and make it easier to ensure compliance with work deadlines.

  Further, in the personnel planning system of the present embodiment, the arithmetic device receives the actual value of the quantity and the man-hour by the input device after the work of each day, and the processing in the storage device is actually required. Update each information of the actual value of the physical quantity and the actual value of the actual man-hour required, and calculate the nearest line format and the seasonal line format and estimate the man-hour based on the updated information. It is also possible to determine the formula.

  According to this, since the man-hour prediction formula is periodically generated or updated and the prediction accuracy is improved, the accuracy of the above-described personnel plan basic plan and personnel plan is improved, which is a risk. To deal with and ensure compliance with work deadlines.

  In the personnel planning system of the present embodiment, the computing device includes: an instruction for generating the basic plan for the personnel plan, an instruction for calculating the risk value for the physical quantity fluctuation, and an instruction for optimizing the personnel plan corresponding to the generation of the personnel plan. Each button, information indicating the risk value of each time period, information indicating the rank according to the magnitude of the risk value, and the personnel assigned to work at the high risk time period are less productive than other people Swapping between a person with a high seasonal variance and a person who is assigned to work in a low-risk period where the rank is lower than a predetermined rank, and that is more productive and less productive than other people. Information that at least includes information that emphasizes work assignment may be displayed on the output device.

  According to this, it is possible to display a button for receiving an instruction from the user and each information, and it is possible to improve the user's work efficiency and information recognition efficiency.

  Further, in the personnel planning method of the present embodiment, the information processing system relates to a corresponding period from the productivity of each person assigned to work in each period in the personnel plan basic plan in the generation process of the personnel plan. Calculate the minimum productivity value of each person at each time by subtracting the seasonal variance of the corresponding personnel, and the average organization productivity that is the average of the minimum productivity value between each employee, and the productivity The processing for calculating the organization productivity variance, which is the variance of the minimum value, and the estimated maximum amount obtained by adding the upside of the actual value at each time of the basic plan for personnel planning to the plan value, the organization for the relevant time Among the processes that determine whether processing is possible during the corresponding period in the average productivity, and the period when the determination reveals that the processing of the estimated maximum amount is not possible, the corresponding period in order from the higher risk period with the higher rank To work Among the unassigned personnel, identify the reinforcement personnel whose productivity is higher than the average organizational productivity for the relevant period, and whose productivity variance is lower than the organizational productivity variance, and the reinforcement personnel are assigned to work. The work allocation of the reinforcement personnel in the low risk period where the ranking is the lowest among the periods, and the work allocation in the low risk period subject to the work allocation replacement process Among the employees who are not assigned and are assigned to work at the high risk period, the productivity is lower than the average organizational productivity for the high risk period, and the time distribution of productivity is lower than the organizational productivity distribution. Identify high replacement personnel, and replace the replacement personnel's work assignment at the high risk time with the low risk time work assignment at which the reinforcement personnel were assigned. A process of changing is, may be executed.

  Further, in the personnel planning method of the present embodiment, when the information processing system specifies the reinforcement personnel, the productivity is higher than the average organization productivity with respect to the corresponding time, and the productivity time is more than the organization productivity distribution. When identifying personnel with higher productivity from among those with low environmental variance and specifying the exchange personnel, productivity is lower than the average organizational productivity for the high risk period, and more productive than the organizational productivity variance It is good also as specifying the employee with lower productivity among the staff with high time dispersion | distribution.

  Further, in the personnel planning method of the present embodiment, each of the information processing systems assigned to work at the low risk period when the work assignment replacement of the replacement personnel is performed prior to the work assignment replacement of the replacement personnel. By subtracting the time variance of the relevant personnel for the relevant period from the productivity of the personnel, the minimum productivity and the average organization productivity of each personnel at the low risk period are calculated, and the A process for determining whether or not the estimated maximum quantity can be processed during the corresponding period in the calculated tissue productivity average, and when the determination reveals that the estimated maximum quantity cannot be processed, the work related to the reinforcement personnel Cancel the assignment replacement process, and if it is found that the estimated maximum quantity can be processed, the replacement assignment process of the replacement personnel To run, it may be.

  Further, in the personnel planning method of the present embodiment, the storage device includes a planned value of the amount to be processed for each day of the week and a specific job execution date in the logistics operation, and an actual value of the amount actually required to be processed, It is also possible to store information on productivity of personnel for logistics operations and information on the temporal distribution of the productivity.

  Further, in the personnel planning method according to the present embodiment, the information processing system further stores a man-hour prediction formula for calculating a required man-hour by inputting a planned amount of material for each day of the week and each execution date of a specific job in the storage device. Then, when generating the personnel plan basic plan, for each day included in the predetermined planning target period, read the man-hour prediction formula of the corresponding day of the week or execution date of the specific job from the storage device, to the read man-hour prediction formula, Input the planned value of the physical quantity related to the estimated man-hours and calculate the estimated man-hours, and divide the calculated estimated man-hours for each day by the average working hours between the personnel acquired in advance. A process for calculating the number of personnel, and a work assignment of personnel for leveling the excess / shortage rate of the number of manhours under the condition of the required number of personnel for the estimated manpower of each day, using a predetermined algorithm, And generating a may be to run.

  Further, in the personnel planning method of the present embodiment, the information processing system inputs each piece of information on the work amount for each day of the week and the execution date of the specific job, and the work time of the day of the week and the execution date of the specific job. To calculate the productivity of each person by dividing the amount of work by the work time on the day of the week or the execution date of the specific job, and the production of each day of the day and the execution day of the specific job The productivity distribution of each person is calculated from the characteristics, and the process of storing each information of the calculated day of each person and the execution date of the specific job and the time distribution of the productivity in the storage device is further executed. It is good also as.

  Further, in the personnel planning method of the present embodiment, the information processing system further stores the actual value of the man-hours actually required at each predetermined time in the logistics operation in the storage device, and the physical quantity related to the past predetermined time For the information on the planned value and the actual value of the man-hour required at the relevant time, the input device accepts designation of the past predetermined time or the latest period to be processed, and relates to the specified past predetermined time or the latest period The planned value of the quantity and the actual value of the man-hour are acquired from the storage device, and the planned value of the quantity and the actual value of the man-hour at the predetermined time are obtained based on the planned value of the physical quantity and the actual value of the man-hour acquired with respect to the past predetermined time. Processing for calculating the seasonality line format indicating the correspondence relationship with each day of the week and each execution date of the specific job, and the planned value of the quantity acquired for the most recent past period and the process Based on the actual value of the above, the process of calculating the nearest line format indicating the correspondence between the planned value of the physical quantity in the most recent period and the actual value of the man-hour for each day of the week and the execution date of the specific job, and the nearest line format It is also possible to search for the weighting coefficient of the linear sum formula so as to determine the man-hour prediction formula so that the correlation value of the sum of the sum and the seasonal line form becomes the highest.

  Further, in the personnel planning method of the present embodiment, the information processing system receives the actual value of the quantity and the man-hour by the input device after the work of each day is finished, and the processing in the storage device is actually required. The actual value of the physical quantity and the actual value of the actual man-hour required are updated, and the calculation of the nearest line format and the seasonal line format and the man-hour are based on the updated information. The prediction formula may be determined.

  Further, in the personnel planning method according to the present embodiment, the information processing system optimizes the personnel plan corresponding to the personnel plan basic plan generation instruction, the physical quantity upside risk value calculation instruction, and the personnel plan draft generation. Each button of the instruction, information indicating the risk value of each period, the order according to the magnitude of the risk value, and the staff assigned to work at the high risk period are more productive than other persons Between a low and highly productive time-diversified person and a person who is assigned to work in a low-risk period where the rank is lower than a predetermined rank, and who is more productive and less productive than the other The information including at least the information that emphasizes the work assignment may be displayed on the output device.

201 Personnel planning system 2011 CPU (computing device)
2012 memory 2013 storage device 2015 program 202 recording medium 203 recording medium reading device 204 input device 205 output device 3014 physical quantity / man-hour storage DB
3015 Man-hour prediction formula storage DB
3016 Personnel personal information storage DB
3017 Personnel plan storage DB
3018 Calendar Master DB

Claims (20)

In the logistics business, the planned value of the quantity to be processed at each predetermined time, the actual value of the quantity actually required to be processed, and the information on the productivity of the personnel for logistics work and the timing dispersion of the productivity A stored storage device;
Based on the plan value of the quantity and the information on the productivity of the person, a process of generating a basic plan for a person plan for processing the quantity of each period with a predetermined number of persons having a predetermined productivity,
For each period in the basic plan for the personnel plan, the plan value and actual value of the physical quantity in the past simultaneous period and the peripheral period of the corresponding simultaneous period are read from the storage device, the upside of each actual value from each planned value and the relevant Calculate the variance of the upside, and divide the upside variance by the number of staff assigned in the basic plan for the personnel plan for the relevant period to calculate the risk value of the upside of the quantity at each period Processing to
Each time in the basic plan for personnel plan is ranked according to the magnitude of the risk value, and among those assigned to work at a high risk time when the rank is higher than a predetermined level, the time when productivity is lower than other people and productivity The work assignment is swapped between a person with a high degree of work diversification and a person who is assigned to work at a low-risk time when the rank is lower than a predetermined order, and is more productive than other people and has a low time dispersion of productivity. A processing unit for generating a human resource plan,
A personnel planning system characterized by comprising: The arithmetic unit is:
In the generation process of the personnel plan,
Calculate the minimum productivity of each employee at each time by subtracting the time variance of the relevant staff for the relevant period from the productivity of each employee assigned to work at each period in the basic plan for personnel plan. , A process for calculating an organization productivity average that is an average of the productivity minimum values between each person and an organization productivity variance that is a variance of the productivity minimum values;
A process of determining whether the estimated maximum amount obtained by adding the upside of the actual value in each period of the personnel plan basic plan to the planned value can be processed during the corresponding period in the organization productivity average for the corresponding period;
Of the personnel who are not assigned to work at the relevant time in order from the higher risk time, in the order of the time when it is determined by the determination that the processing of the estimated maximum quantity is not possible, Identify the reinforcement personnel who are more productive than the sex average and have a low time dispersion of productivity than the organizational productivity dispersion, and among the time when the reinforcement personnel are assigned to work, A process of replacing the work assignment of the reinforcement personnel with the work assignment of the high risk period;
From the organization productivity average regarding the high-risk time among the personnel who are not assigned to work at the low-risk time and are assigned to the high-risk time. Identifies exchange personnel whose productivity is low and whose production time variance is higher than the organizational productivity variance, and the work assignment of the exchange personnel at the high risk period is the low risk where the reinforcement personnel are assigned work Processing to replace the work assignment for the time,
Is to perform
The personnel planning system according to claim 1. The arithmetic unit is:
In identifying the reinforcing personnel, the personnel having higher productivity than the average organizational productivity with respect to the relevant period, and having higher productivity than the organizational productivity variance are identified. ,
When identifying the exchange personnel, identify those with lower productivity among those whose productivity is lower than the average organizational productivity for the high-risk period and whose productivity is more seasonally distributed than the organizational productivity variance To do,
The personnel planning system according to claim 2. The arithmetic unit is:
Prior to changing work assignments of the exchange personnel,
When the work assignment of the replacement personnel is changed, the time variance of the relevant personnel regarding the relevant time is subtracted from the productivity of each of the personnel assigned to work at the low-risk time, so that A process of determining whether the productivity minimum value of each person and the tissue productivity average are calculated, and the estimated maximum quantity in the low risk period can be processed during the corresponding period in the calculated tissue productivity average;
If it is determined by the determination that processing of the estimated maximum amount is not possible, the replacement of work assignment relating to the reinforcement personnel is canceled, and if it is determined that processing of the estimated maximum amount is possible, the replacement It performs the process of changing work assignments of personnel.
The personnel planning system according to claim 2. The storage device
In the logistics business, the planned value of the quantity to be processed for each day of the week and the execution date of the specific business, the actual value of the quantity actually required to be processed, the productivity of the personnel for the logistics business, and the temporal dispersion of the productivity Each information is stored.
The personnel planning system according to claim 1. The storage device
It stores the man-hour prediction formula for calculating the required man-hours by inputting the planned value of the physical quantity according to the day of the week and the execution date of the specific work,
The arithmetic unit is:
When generating the basic plan for personnel planning, for each day included in the predetermined planning target period, the man-hour prediction formula for the corresponding day of the week or the execution date of the specific job is read from the storage device, and the man-hour prediction is calculated in the read man-hour prediction formula. Processing to calculate the estimated man-hours by entering the planned quantity of the day,
Dividing the calculated estimated man-hours for each day by the average working hours between previously acquired personnel, and calculating the required number of personnel for each day;
With respect to the predicted man-hours for each day, a process for executing a work assignment of personnel for leveling the excess / deficiency rate of man-hours under the necessary man-hours condition with a predetermined algorithm, and generating a personnel plan basic plan,
Is to perform
The personnel planning system according to claim 5. The arithmetic unit is:
The information on the work amount of each person's day of the week and the execution date of the specific job and the work time of the corresponding day of the week and the execution date of the specific job are acquired by the input device, and the work volume is executed on the corresponding day of the week or the specific job. Divide by day work hours to calculate the productivity of each person, calculate the variance of each employee's productivity from the productivity of each day of each employee and the execution date of the specific job, and calculate each employee The process of storing each information of the productivity of each day of the week and the execution date of the specific business and the time distribution of the productivity in the storage device is further executed.
The personnel planning system according to claim 5. The storage device
In the logistics business, the actual value of the man-hours that are actually required at each specified time is further stored.
The arithmetic unit is:
For the information on the planned value of the quantity related to the past predetermined time and the actual value of the man-hour required at the relevant time, the input device accepts designation of the past predetermined time or the latest period to be processed, and the specified past Acquire the planned value of the physical quantity and the actual value of the man-hours from the storage device for the predetermined period or the latest period,
Based on the planned quantity value and the actual man-hour value acquired for the predetermined period in the past, the seasonal line format indicating the correspondence between the planned quantity value and the actual man-hour value at the predetermined period is specified for each day of the week and Processing to be calculated for each business execution day;
Based on the planned amount of physical quantity and the actual value of man-hours acquired with respect to the past most recent period, the nearest line format indicating the correspondence between the planned value of physical quantity and the actual value of man-hours in the most recent period is selected for each day of the week and specific work. Processing for each execution date,
A process of searching for a weighting coefficient of a linear sum formula so that the correlation value of the sum of the nearest line format and the seasonal line format is the highest, and determining a man-hour prediction formula;
Is to perform
The personnel planning system according to claim 1. The arithmetic unit is:
After completion of work on each day, the actual value of the quantity and the man-hour is received by the input device, and the actual value of the quantity that is actually required to be processed in the storage device and the actual man-hour result that is actually required. Update each information of the value, based on each information after the update, to calculate the nearest line format and the seasonal line format and to determine the man-hour prediction formula,
The personnel planning system according to claim 8. The arithmetic unit is:
Buttons for generating instructions for the basic plan for personnel plan, instructions for calculating the risk value of upward movement of the quantity, and instructions for optimizing the personnel plan corresponding to generation of the personnel plan,
Information indicating the risk value of each period and the rank according to the magnitude of the risk value;
Among the personnel assigned to work at the high risk period, among the employees who are less productive than other employees and have a high time distribution of productivity, and among the personnel who are assigned work at a low risk period where the rank is lower than a predetermined rank, Information that emphasizes work assignments, switching between personnel who are more productive and less productive than other people,
Information including at least information on the output device.
The personnel planning system according to claim 1. In the logistics business, the planned value of the quantity to be processed at each predetermined time, the actual value of the quantity actually required to be processed, and the information on the productivity of the personnel for logistics work and the timing dispersion of the productivity An information processing system having a storage device stored therein
Based on the plan value of the quantity and the information on the productivity of the person, a process of generating a basic plan for a person plan for processing the quantity of each period with a predetermined number of persons having a predetermined productivity,
For each period in the basic plan for the personnel plan, the plan value and actual value of the physical quantity in the past simultaneous period and the peripheral period of the corresponding simultaneous period are read from the storage device, the upside of each actual value from each planned value and the relevant Calculate the variance of the upside, and divide the upside variance by the number of staff assigned in the basic plan for the personnel plan for the relevant period to calculate the risk value of the upside of the quantity at each period Processing to
Each time in the basic plan for personnel plan is ranked according to the magnitude of the risk value, and among those assigned to work at a high risk time when the rank is higher than a predetermined level, the time when productivity is lower than other people and productivity The work assignment is swapped between a person with a high degree of work diversification and a person who is assigned to work at a low-risk time when the rank is lower than a predetermined order, and is more productive than other people and has a low time dispersion of productivity. Process to generate a personnel plan,
A personnel planning method characterized in that The information processing system is
In the generation process of the personnel plan,
Calculate the minimum productivity of each employee at each time by subtracting the time variance of the relevant staff for the relevant period from the productivity of each employee assigned to work at each period in the basic plan for personnel plan. , A process for calculating an organization productivity average that is an average of the productivity minimum values between each person and an organization productivity variance that is a variance of the productivity minimum values;
A process of determining whether the estimated maximum amount obtained by adding the upside of the actual value in each period of the personnel plan basic plan to the planned value can be processed during the corresponding period in the organization productivity average for the corresponding period;
Of the personnel who are not assigned to work at the relevant time in order from the higher risk time, in the order of the time when it is determined by the determination that the processing of the estimated maximum quantity is not possible, Identify the reinforcement personnel who are more productive than the sex average and have a low time dispersion of productivity than the organizational productivity dispersion, and among the time when the reinforcement personnel are assigned to work, A process of replacing the work assignment of the reinforcement personnel with the work assignment of the high risk period;
From the organization productivity average regarding the high-risk time among the personnel who are not assigned to work at the low-risk time and are assigned to the high-risk time. Identifies exchange personnel whose productivity is low and whose production time variance is higher than the organizational productivity variance, and the work assignment of the exchange personnel at the high risk period is the low risk where the reinforcement personnel are assigned work Processing to replace the work assignment for the time,
The personnel planning method according to claim 11, wherein: The information processing system is
In identifying the reinforcing personnel, the personnel having higher productivity than the average organizational productivity with respect to the relevant period, and having higher productivity than the organizational productivity variance are identified. ,
When identifying the exchange personnel, identify those with lower productivity among those whose productivity is lower than the average organizational productivity for the high-risk period and whose productivity is more seasonally distributed than the organizational productivity variance To
The personnel planning method according to claim 12. The information processing system is
Prior to changing work assignments of the exchange personnel,
When the work assignment of the replacement personnel is changed, the time variance of the relevant personnel regarding the relevant time is subtracted from the productivity of each of the personnel assigned to work at the low-risk time, so that A process of determining whether the productivity minimum value of each person and the tissue productivity average are calculated, and the estimated maximum quantity in the low risk period can be processed during the corresponding period in the calculated tissue productivity average;
If it is determined by the determination that processing of the estimated maximum amount is not possible, the replacement of work assignment relating to the reinforcement personnel is canceled, and if it is determined that processing of the estimated maximum amount is possible, the replacement Execute the work assignment replacement process for personnel,
The personnel planning method according to claim 12. The storage device
In the logistics business, the planned value of the quantity to be processed for each day of the week and the execution date of the specific business, the actual value of the quantity actually required to be processed, the productivity of the personnel for the logistics business, and the temporal dispersion of the productivity Each information is stored.
The personnel planning method according to claim 11. The information processing system is
In the storage device, for each day of the week and for the execution date of a specific job, further storing a man-hour prediction formula for calculating a required man-hour by inputting a plan value of the quantity,
When generating the basic plan for personnel planning, for each day included in the predetermined planning target period, the man-hour prediction formula for the corresponding day of the week or the execution date of the specific job is read from the storage device, and the man-hour prediction is calculated in the read man-hour prediction formula. Processing to calculate the estimated man-hours by entering the planned quantity of the day,
Dividing the calculated estimated man-hours for each day by the average working hours between previously acquired personnel, and calculating the required number of personnel for each day;
With respect to the predicted man-hours for each day, a process for executing a work assignment of personnel for leveling the excess / deficiency rate of man-hours under the necessary man-hours condition with a predetermined algorithm, and generating a personnel plan basic plan,
The personnel planning method according to claim 15, wherein: The information processing system is
The information on the work amount of each person's day of the week and the execution date of the specific job and the work time of the corresponding day of the week and the execution date of the specific job are acquired by the input device, and the work volume is executed on the corresponding day of the week or the specific job. Divide by day work hours to calculate the productivity of each person, calculate the variance of each employee's productivity from the productivity of each day of each employee and the execution date of the specific job, and calculate each employee Further, a process of storing each information of the productivity of each day of the week and the execution date of the specific job and the time distribution of the productivity in the storage device is executed.
The personnel planning method according to claim 15. The information processing system is
In the storage device, further stores the actual value of the man-hours that are actually required every predetermined time in the logistics business,
For the information on the planned value of the quantity related to the past predetermined time and the actual value of the man-hour required at the relevant time, the input device accepts designation of the past predetermined time or the latest period to be processed, and the specified past Acquire the planned value of the physical quantity and the actual value of the man-hours from the storage device for the predetermined period or the latest period,
Based on the planned quantity value and the actual man-hour value acquired for the predetermined period in the past, the seasonal line format indicating the correspondence between the planned quantity value and the actual man-hour value at the predetermined period is specified for each day of the week and Processing to be calculated for each business execution day;
Based on the planned amount of physical quantity and the actual value of man-hours acquired with respect to the past most recent period, the nearest line format indicating the correspondence between the planned value of physical quantity and the actual value of man-hours in the most recent period is selected for each day of the week and specific work. Processing for each execution date,
Search for the weighting coefficient of the linear sum formula so that the correlation value of the sum of the nearest line format and the seasonal line format is the highest, and determine the man-hour prediction formula,
The personnel planning method according to claim 11. The information processing system is
After completion of work on each day, the actual value of the quantity and the man-hour is received by the input device, and the actual value of the quantity that is actually required to be processed in the storage device and the actual man-hour result that is actually required. Update each information of the value, based on each information after the update, to calculate the nearest line format and the seasonal line format and determine the manhour prediction formula,
The personnel planning method according to claim 18. The information processing system is
Buttons for generating instructions for the basic plan for personnel plan, instructions for calculating the risk value of upward movement of the quantity, and instructions for optimizing the personnel plan corresponding to generation of the personnel plan,
Information indicating the risk value of each period and the rank according to the magnitude of the risk value;
Among the personnel assigned to work at the high risk period, among the employees who are less productive than other employees and have a high time distribution of productivity, and among the personnel who are assigned work at a low risk period where the rank is lower than a predetermined rank, Information that emphasizes work assignments, switching between personnel who are more productive and less productive than other people,
Display information on the output device at least.
The personnel planning method according to claim 11.