WO2011070790A1

WO2011070790A1 - Labor management system

Info

Publication number: WO2011070790A1
Application number: PCT/JP2010/007189
Authority: WO
Inventors: 得善黒部; 智道松山; 晋波多
Original assignee: 株式会社リーガル・リテラシー
Priority date: 2009-12-10
Filing date: 2010-12-10
Publication date: 2011-06-16
Also published as: MY183970A; JPWO2011070790A1; JP5237464B2

Abstract

Disclosed is a labor management system capable of displaying a state of maldistribution regarding labor time and labor days of employees in a form that allows a plurality of workplaces to be compared to identify a cause of decrease of service or productivity. From input data specifying workplaces, employees, attributes, and work attendance, labor days and labor hours of employees within a predetermined period are calculated, constraints of work days and work hours as defined by law are specified as functions of the work days and work hours within a predetermined period, and a plurality of areas defined by the plurality of specified functions are set. The number of people belonging to each area are counted, the spread of the number of people for each area by workplace is calculated, and from the spread of the number of people who belong within the range of each area or within the ranges of a plurality of combinations of areas, a pattern of the state of maldistribution to be a reference for evaluation is set. On the basis of the calculated spreads, the patterns corresponding to each workplace are identified, spreads of each pattern for the plurality of workplaces are calculated, and evaluation result data associating patterns, numbers of stores, and pattern spreads are generated.

Description

Labor management system

The present invention relates to a labor management system and a labor management program, and more particularly to a labor management system and a labor management program for managing the working days and working hours of a plurality of employees having different attributes.

In recent years, not only so-called CS (Customer Satisfaction: customer satisfaction) but also ES (Employee Satisfaction) focusing on the internal environment has attracted attention as business and performance indicators in corporate management. In particular, in labor-intensive industries, it is necessary to improve the motivation of the entire workplace while allowing a variety of employment forms, which complicates labor management. One factor that complicates labor management is the management of working hours and days. If employees of each work type (for example, regular employees, contract employees, temporary employees, seconded employees, temporary workers, temporary workers, part-time workers, etc.) work in the same workplace, a specific employee While avoiding the concentration of burden on employees, it is necessary to secure working hours and working days corresponding to each type of work, and to maintain a certain level so that services and productivity do not deteriorate. As described above, various proposals have been made to clear the weighted requirements in a balanced manner.

For example, when managing employee performance data based on time stamped data, by selecting a table to be referenced according to the type of work of the employee, the work performance data corresponding to the actual work is aggregated and managed. A work attendance management system has been proposed (see, for example, Patent Document 1).

In addition, a staff allocation processing method and system for calculating employee excess / deficiency predictions based on comparison with past results and generating recommendation data as a material for determining which employee to assign or scrape have been proposed. (For example, refer to Patent Document 2). The recommendation data is based on proficiency level data based on vacation data and company history data.For example, when assigning a designated holiday, the recommended data is sorted in descending order of proficiency level to give holidays from the top. In this way, data corresponding to the proficiency level can be sorted and provided according to a predetermined condition.

JP 2006-260466 A JP 2002-149931 A

In the prior art, management according to attributes such as the type of work and proficiency of employees in one workplace is possible.For example, when there are a plurality of workplaces of the same type, such as a franchise chain, It was difficult to grasp the situation of labor management in each workplace by comparing the workplaces. In particular, it was not possible to ascertain by comparison with other workplaces what kind of composition and what number of working days / hours were assigned to employees with different attributes. As a result, compared to other workplaces, even if employee assignments are unevenly distributed at specific attributes and at specific dates and times, the uneven distribution status cannot be accurately grasped, and labor management is inefficient. This could lead to a decline in profits for the entire company.

In terms of labor management, it is very important to comply with regulations on working days and working hours according to various laws and regulations, labor contracts and other arrangements. However, any of the above-described conventional techniques has a problem that the working style is large and is not realistic. For example, the granularity of the attribute classification is limited to the level of “part” and “part-time job”, and restrictions such as working hours and working days based on the regulations are not taken into consideration. As a result, for example, conditions such as “part time full time” and the like are presented, ignoring these restrictions, which may lead to a decrease in ES.

Therefore, the present invention accurately grasps the restrictions imposed by various laws and regulations, labor contracts and other arrangements, and shows the uneven distribution of employees in a manner that allows comparison of multiple workplaces with respect to each employee's attributes, working hours, and working days. It is an object of the present invention to provide a labor management system and a labor management program that can display and identify the cause of service and productivity degradation.

In order to solve the above-described problems, the present invention is a labor management system that manages the working hours and working days of a plurality of employees having different work style attributes,
Work data that identifies at least the workplace in which each employee works, employee data that identifies each employee, attribute data that identifies attributes related to the work style of each employee, and attendance Input means for inputting input data including time and attendance data for recording date and time, calculation means for calculating the working days and working hours of each employee within a predetermined period based on the employee data and time and attendance data, and each attribute The various working days and working hours defined by various laws and regulations, labor contracts, and other agreements applied in accordance with the above are specified as a function of the working days and working hours within the predetermined period, respectively. An area setting means for setting a plurality of areas demarcated from a function, and belonging to each of the set areas from the calculated working days and working hours of each employee The calculation means for counting the number and calculating the distribution ratio of the number of people in each area for each workplace, and the uneven distribution serving as a reference for evaluation from the distribution ratio of the number of persons belonging to the range of each area or the combination of a plurality of areas An evaluation setting unit that sets a pattern of a situation, and the evaluation setting unit identifies the pattern corresponding to each workplace based on the distribution rate calculated by the computing unit, and the distribution rate of each pattern of the plurality of workplaces And at least evaluation result data generating means for generating evaluation result data in which the pattern, the number of stores, and the distribution rate of the pattern are associated with each other, and display means for displaying the evaluation result data And

According to this configuration, it is possible to comprehend the patterns of work patterns in multiple workplaces, that is, the uneven distribution status in a comparable manner, subject to restrictions on working hours and working days due to various laws and regulations, labor contracts and other arrangements. .

The input means automatically inputs the input data together with the time stamping process of the employees, for example, each employee inputs the input data every time he / she goes It may be a management system or a time-recording time recorder. Therefore, an existing apparatus can be used as an input unit as long as data can be transferred. The input means may be configured to input the input data via the Internet. For example, what is necessary is just to connect to the said labor management system via the internet network by using the said existing attendance management system and a time record as an input terminal.

In addition to the evaluation result data, the display means displays each of the specified functions on a graph in which the vertical axis indicates working hours and the horizontal axis indicates the number of working days, and in each region surrounded by the functions. The coordinate data composed of the working days and working hours of each employee calculated by the calculating means is plotted with a predetermined plot symbol indicating the attribute data corresponding to each employee, and a scatter diagram is displayed. There may be.

In addition, the labor management system includes a means for accumulating the total working hours of each employee starting from the first input time of the input data, and the experience value of each employee within a predetermined working time range. Divided into a plurality of levels, experience value specifying means for specifying the experience value of each employee according to the level corresponding to the accumulated total working hours of each employee, the input data and the experience of each employee Based on the values, the working hours per day are divided into predetermined unit times, and a counting means for counting the number of people per experience value per unit time, and a list of daily units from the total number of people generated for each workplace The experience value distribution list generating means may be provided, and the generated experience value distribution list may be displayed by the display means.

According to this configuration, each employee can be specified not only by the attribute but also by the experience value, and the uneven distribution of each experience value level can be accurately grasped. Moreover, the transition of the uneven distribution situation can be grasped for each unit time. The integration means sets the next input time as the starting point when the input by the input means is interrupted for a predetermined period or more.

The vertical axis is the total of the total number of people in each unit time, and the horizontal axis is the working hours per day dividing each unit time, showing the change in the number of people per unit time from the experience value distribution list A distribution graph generation unit that generates a graph for each workplace and displays a breakdown of the experience value in the total of the total number of persons, and the generated distribution graph is displayed by the display unit. Good.

Further, the distribution graph generation means includes selection means for selecting a unit of the horizontal axis of the distribution graph according to data obtainable from the input data, and the distribution graph is generated using the selected data as a unit of the horizontal axis. You may make it do. Examples of the unit that can be used as the unit of the horizontal axis from the input data include year unit, month unit, week unit, day unit, month start unit, month end unit, predetermined day of week unit, and holiday unit. In addition, the graphs of a plurality of stores arranged in parallel in any one of the above units, the plurality of stores existing in a predetermined area may be aggregated together, and the aggregates of each area may be paralleled. . The working hours per day are not limited to one day in the calendar, but even if they extend over two days in the calendar, due to work relations, such as 24 hours business, This includes what is defined as one day.

The calculation means sets the number of working days or working hours of each employee within the predetermined period calculated as a labor amount, and sets a plurality of predetermined labor amounts as threshold values, and the labor amount is equal to or greater than any one of the threshold values. Based on the first extraction condition for extracting the employee and the attendance / leaving data input by the input means, the number of consecutive working days of each employee within the predetermined period or the working time per day of each employee is a predetermined time or more The number of days of the day is set as a continuity, a plurality of predetermined continuity is set as a threshold, a second extraction condition for extracting employees whose continuity is equal to or higher than any one of the thresholds is set, and the first Points that consider each labor load are assigned to the 1 extraction condition and the 2nd extraction condition, and the points obtained by adding the corresponding points to the employees extracted according to the 1st extraction condition and the 2nd extraction condition are added. Conversion A total number of points is divided into a plurality of levels according to a predetermined range, each level is set as a fatigue level, and the level of fatigue of each employee corresponding to the total score is You may make it display on an experience value distribution list.

The labor management system is a client-server system (for example, an existing attendance management system or a time record is used as a client functioning as the input means, and the server has other functions. The client terminal and the server are connected via the Internet network. Form), a form distributed as a labor management program for causing the computer to realize the various functions so as to cope with various provision forms such as so-called cloud computing.

According to the present invention, it is possible to accurately grasp the restrictions imposed by various laws and regulations, labor contracts, and other arrangements, and to determine the uneven distribution of employees in a way that allows comparison of multiple workplaces with respect to the attributes, working hours, and working days of each employee Since it can be displayed, there is an effect that labor management can be performed by accurately and specifically grasping what assignment bias is present in which workplace. In addition, since the difference from other workplaces can be grasped, there is an effect that it becomes easy to grasp labor management problems and make a recruitment plan from a relative viewpoint.

Furthermore, since the transition of the number of employees per unit time can be grasped together with data such as the experience value of each employee, data for specifically identifying the cause of service and productivity decline can be provided. There is an effect that can be done.

Processing block diagram of labor management system according to the present invention Diagram showing an example of the area data table Figure showing an example of an evaluation data table Figure showing an example of the calculation result table Figure showing an example of evaluation result data Scatter plot Process flow diagram of evaluation result data and scatter diagram generation Flow chart of employee experience data generation process Figure showing an example of employee experience data Figure showing an example of the experience value distribution list Distribution graph Diagram showing auxiliary lines on distribution graph The figure which shows the example which added exhaustion to the experience value distribution list

Hereinafter, the best mode for carrying out the present invention will be described with reference to the accompanying drawings. In addition, in the following description, although a specific structure, an effect | action, etc. are shown and demonstrated, these can be suitably changed within a claim. In the following, the present embodiment will be described as a system having a client-server configuration for a multi-store type company developing a chain in a restaurant or the like, but the present invention is not limited to this.

Referring to FIG. 1, reference numeral 1 denotes a server constituting a labor management system according to the present invention. The server 1 receives individual input data of each employee from each terminal (client) of a plurality of stores, that is, each input terminal 2a, 2b, 2c. This input data may be input from, for example, an attendance management system in which each employee inputs each time he / she goes to work or a time stamp type time recorder. In other words, an existing apparatus can be used as long as the data can be transferred to the server 1. This input data includes at least work data, workplace data that identifies the workplace to which each employee belongs, employee data that identifies each employee, and attribute data that identifies each employee's attributes. It only has to be. In the present embodiment, the input terminals 2a, 2b, 2c,... 2n (hereinafter collectively referred to as “input terminal 2”) are connected to the server 1 via the Internet network. What is connected may be sufficient, and when using this system in a single store, the input terminal 2 may be directly connected to the server 1. Since the time recorder or the like is usually input every time a person goes to and from work, the input data may be transmitted to the server 1 each time, or may be transmitted collectively at predetermined intervals. However, a configuration in which input by the input terminal 2 is processed in a stand-alone manner without passing through a communication network such as the Internet network may be employed.

The server 1 has a central processing unit (CPU) (not shown), a main memory, and an external storage device such as a hard disk, and the user issues commands from an input device such as a keyboard to cause the server 1 to perform functions to be described later. Are connected to a display unit 4 including a display and a printer. When a user of this system inputs an instruction for causing the server 1 to execute a process to be described later from the input unit 3 using the input data input from the input terminal 2, a program or a file for causing the main memory to execute the process is stored. The data is read and the processing is executed by the CPU. Data generated as an execution result is appropriately stored in the external storage device. That is, the system according to the present invention is configured to execute a program for performing processing according to a specific purpose of use, which will be described later, by hardware resources such as the CPU, main memory, and external storage device.

Based on the input data received from the input terminal 2, the server 1 calculates working hours and working days within a predetermined period by the calculating unit 111. The calculation of the working hours and the working days can be performed, for example, if there is the attendance / leaving data that specifies the working hours and departure times every sunrise. The period within the predetermined period can be freely set by the user of this system, but specifically, the cycle corresponding to the restrictions of laws and regulations described later, the cycle of salary tightening, What is necessary is just to set according to the cycle of rotation. As described above, when the user's existing attendance management system or time record is used as the input unit, a function for converting the input data into a format that can be processed by the server 1 may be provided.

By the way, in labor-intensive industries such as restaurants, employees with various attributes depending on the type of employment often work in the same workplace. In addition to regular employees, for example, non-regular employees include contract employees, temporary employees, seconded employees, temporary workers, temporary workers, and part-time workers.

Employee working days and working hours are restricted by various laws and regulations, labor contracts and other agreements applied in accordance with the above-mentioned attributes. To explain the case in Japan as an example, in addition to legal working hours, working hours converted from the scope subject to spouse deduction under the Income Tax Law, conditions for becoming dependent under the Health Insurance Law Working hours to meet, working hours that meet the conditions for becoming an insured person under the Employment Insurance Law, working hours or days to be a short-time worker based on the Part-time Labor Law, as specified in the labor contract And the maximum working hours that can be ordered per day as stipulated in the agreement on overtime work. In the area setting unit 112 of the server 1, each of these restrictions is specified by a function of working days and working hours (including a constant function) within the predetermined period, and a plurality of area data defined by the specified functions. Set the table. That is, here, the region refers to a range formed within the predetermined period as a boundary line with a plurality of functions having the working days and working hours as parameters as parameters. The functions specified by the area setting unit 112 can be appropriately changed in accordance with the working status of users of the system, revisions of laws and regulations, labor contracts and other agreements. is there.

FIG. 2 shows an example of the area data table T set by the area setting unit 112. The area data table T according to this embodiment is composed of columns T1 to T4. T1 indicates a region F defined with each function as a boundary line. In the present embodiment, there are 10 types of regions, but as described above, the types of functions can be changed as appropriate, so the number of defined regions varies depending on the types and numbers of functions. come. T2 indicates the range of the total number of working days within a predetermined period for each function. In the present embodiment, the predetermined period is one month (30 days), but the present invention is not limited to this. T3 indicates the range of the total working time (total time) within the predetermined period. T2 and T3 are parameters of each function based on the restrictions of the various laws, labor contracts, and other agreements. T4 describes the working system indicated by each area. In this embodiment, 20 hours or more per day is defined as “survivable time or more”, 4 days or less as “very short day”, 130 hours or more, less than 20 hours line, and 12 hours or more as “overworked” As for the working system between them, the total number of days is 4 days or more and less than 15 days as “short day”, 15 days or more as “long day”, and the total time is less than 4 hours a day. “Short time”: 4 hours a day or more and less than 8 hours (or less than 130 hours in total) “medium time”, 8 hours or more, or 8 hours or less, but 130 hours or more "And is defined from these combinations according to each function. T5 is a column for defining the characteristics of each area for each working system defined in T4. This characteristic leads to the evaluation described later. For example, in the area F3, the total number of days is “4 days or more and less than 15 days”, and the total time is “less than 4 hours a day”. Therefore, the working system is “short day, short time working system”. Thus, this characteristic is “work within dependents, auxiliary strength, and time-intensive work”. For the total number of days less than 4 days in area F2, the total time is “None”, but this is less than 4 days per month (converted to a weekly average, less than 1 day a week) )), As described in the T4 column, “less than 1 day per week is equivalent to new employee / employee immediate retirement = non-analytical value”.

Returning to FIG. 1, the evaluation setting unit 113 sets an evaluation data table for labor management in association with each region set by the region setting unit 112 and a plurality of combinations of the set regions.

FIG. 3 shows an example of the evaluation data table E. In the present embodiment, the evaluation data table E includes an E1 that specifies a pattern to be evaluated formed from the area, an E2 that indicates a distribution criterion for sorting the pattern, an E3 that indicates a breakdown of the pattern by the area, and a pattern for each pattern. It is comprised from E4 which shows evaluation. In the present embodiment, the number of patterns specified by E1 is 12 patterns from P1 to P12. In E2, when the working days are 15 days as a reference and the distribution rate is 70% before and after that, it is defined as the uneven distribution situation. Moreover, the pattern shown by E3 is comprised from two types of the combination of a single area | region and a several area | region. In this embodiment, a region or a combination of regions, which is a breakdown of the pattern, becomes a final evaluation target unit. Therefore, for example, in the pattern P1, a pattern is formed by a combination of the region F3 and the region F4, but in the pattern P2, a pattern is formed only in the region F4. In E3, in the present embodiment, as the types of patterns indicating the uneven distribution status, a classification of “main pattern” and “sub-pattern” is provided. This is the distribution of the entire workplace to which this system is applied. In the situation, the pattern of the uneven distribution corresponding to the distribution rate of 70% before and after the E2 working days of 15 days is set as the “main pattern”, and the uneven distribution level at a level not applicable to the “main pattern” (this In the embodiment, “others” of the patterns P7 to P12) are “sub-patterns”. For example, the pattern P8 shows a case where a large number of uneven distribution situations are observed in the pattern formed by the combination of the region F4 and the region F5 and the pattern formed by the region F7. The evaluation of E4 expresses the uneven distribution situation in each pattern. Here, the “central axis” means the central axis of the working form among all employees. From the above, for example, as a result of applying this system, when the uneven distribution state corresponds to the region of the pattern P3, that is, the uneven distribution state of “70% or more within 15 days”, the region F4 and the region F5 are formed. It is unevenly distributed in the pattern, and the evaluation is “short day and middle axis, concentrated on long time”.

Referring back to FIG. 1, based on the number of working days and working hours within a predetermined time of the employees of each store calculated by the calculation unit 111, the calculation unit 114 calculates the distribution status for each region for each store. This calculation is performed by counting the number of employees for each area for each store and calculating the distribution rate for each area based on the counted number of persons.

FIG. 4 shows an example of the calculation result table C calculated by the calculation unit 114. The calculation result table C includes a store code (each corresponding to “workplace data” in the input data) column C1 for identifying each store, a working day column C2 indicating the number of persons by the number of working days within a predetermined period, C3 indicating the value obtained by counting the number of people by region described in FIG. 2, the total column C4 for each store of the counted number of people, the distribution rate column C5 in which the number of people in C3 is calculated as the distribution rate for each region, and for each store Extracting a region that is unevenly distributed at the distribution ratio, and from the evaluation data table E described in FIG. 3, the column C6 indicating the pattern to which the extracted region corresponds and the evaluation corresponding to the pattern indicated by C6 Is read from the evaluation data table E and is displayed in a column C7. For example, in the store code 114 in the C1 column, two employees who work for 4 days or less within the predetermined period in the C2 column are 2 employees, 6 employees who work for 5 days or more and 14 days or less, and 15 employees or more. There are 9 employees working days. Looking at the number of people by area in the C3 column, there are 6 persons in the

area

4, 2 persons each in the areas 7 to 9, 5 persons in the

area

10, and 0 persons in the other areas. The total in the C4 column is 15 people. Therefore, in the column C5, from the counted number of people in the column C3 and the total number of people in the column C4, the respective distribution rates are 40% for the

region

4, 13% for the regions 7 to 9, and 33% for the region 10, respectively. Is calculated. Since this corresponds to the pattern P12 of the evaluation data table E, “P12” is displayed in the C6 column. In the C7 column, the “abnormal state” corresponding to P12 is read from the E4 column of the evaluation data table E and displayed. Thereafter, the same processing is performed for each store, and the calculation result table C is generated.

The evaluation result data generation unit 115 generates evaluation result data obtained by tabulating the distribution status of patterns in units of stores based on the calculation result table C generated by the calculation unit 114. At this time, an unevenly distributed pattern may be marked up with a predetermined display based on the calculated distribution rate. Thus, by showing the distribution status for each pattern in the evaluation result data, for example, it is possible to quantitatively grasp the overall image of what pattern stores are unevenly distributed.

FIG. 5 shows an example of the evaluation result data R. The evaluation result data R is composed of four columns, R1 indicating a pattern, R2 indicating evaluation, R3 indicating the number of stores in each pattern, and R4 indicating the number of stores in R3 as a distribution ratio. R1 and R2 are a description of the pattern and evaluation read from the calculation result table C described in FIG. R3 is the total of the number of stores of each pattern from the calculation result table C, and R4 is the distribution rate in the entire store calculated from the number of stores totaled in R3. In the present embodiment, the pattern indicating the uneven distribution state is a level corresponding to the “sub-pattern” and is 18 stores of P8 and 18 stores of P9. Since the total number of stores is 55, the distribution rate is 33% in all cases. In this embodiment, since these two P8 and P9 are unevenly distributed, both columns are displayed in a specific color, characters are emphasized with bold or italic characters, or different fonts are used. And mark up (not shown).

Returning to FIG. 1, the server 1 associates the attribute data of each employee with the calculated working days and working hours, and generates the actual data for each attribute for each employee's attribute. Have That is, the attribute-specific work data is obtained by associating the attribute data input by the input unit I with the working days and working hours of each employee calculated by the calculation unit 111. A scatter diagram generation unit 117 generates a scatter diagram from each function specified by the region setting unit 112 and the attribute-specific operation data generated by the attribute-specific operation data generation unit 116. With this scatter diagram, it is possible to list the distribution status or uneven distribution status of employees by attribute according to the pattern. The scatter diagram displays data for each employee using each attribute as a parameter. For example, data of a plurality of stores may be displayed in one scatter diagram. In this case, the labor management tendency of the entire company that manages the multi-store is clarified, and it can be used as a material for extracting problems of own labor management in comparison with other companies. Moreover, you may display the data of several stores selected among many stores on a scatter diagram. Furthermore, if the plot symbols described later can be identified by store (for example, if the attributes are distinguished by symbol graphics and the stores are distinguished by symbol colors), the tendency of uneven distribution of the work style of each store It is also possible to list the differences.

FIG. 6 shows an example of a scatter diagram S generated by the scatter diagram generator 117. In the scatter diagram S, the horizontal axis (x-axis) is the number of working days in a predetermined period (30 days in the present embodiment), the vertical axis (y-axis) is the working time within the predetermined period, and each function is on the same coordinate axis. It is displayed in the scatter diagram. In the present embodiment, each function is, for example, a restriction in Japan, legal working hours L1, working hours L2 converted from the range subject to spouse deduction under the Income Tax Law, dependents under the Health Insurance Law Working time L3 that satisfies the conditions for becoming a worker, working hours or working days L4 for corresponding to a short-time worker based on the part-time labor law, and L5 of an upper limit pace of abnormal values. L1 is a statutory working hour which is a basic, and is 8 hours / day in the current law. At L2, the range of dependents that can receive spouse deductions under the Income Tax Law is currently less than ¥ 1,030,000. Therefore, in order to work within the range of this annual income, the function of L2 is determined in consideration of hourly wage as a parameter. In the present embodiment, the function is determined under the condition of an upper limit of 100 hours / month with 4 hours / day as a guide. Therefore, when the number of working days is 25 days or more, a constant function of y = 100 hours is obtained. At L3, the conditions for becoming a dependent under the Health Insurance Law are currently less than 1.3 million yen per year. Therefore, in this case as well as L2, the function is determined under the condition of an upper limit of 130 hours / month, taking hourly wage into account as a parameter. In the present embodiment, based on 20 hours / day of L5, which will be described later, the function starts between the 6th and 7th days before reaching the upper limit of 12 hours / day and reaching 130 hours / month. Is changed to a constant function of y = 130 hours after the seventh day. In L4, according to the definition of part-time according to the Part-time Labor Law, ie, the definition that the prescribed working hours and the prescribed number of working days are 3/4 compared to regular employees, it is 12 hours / day and 15 days / month. In order to reflect this weighting requirement, two different functions with a coordinate point x = 15 days and y = 180 hours as a contact point are combined. In the present embodiment, the abnormal value of L5 indicates “over survivable time” indicated by F1 in FIG. 2, and represents a function of a pace of 20 hours / day. As described above, by showing the functions from L1 to L5 on the scatter diagram S, the regions F1 to F10 defined by the plurality of functions are formed.

Note that the above function is only an example, and conditions and arrangements of labor contracts that define working days and working hours are also subject to the above function. In addition, the legal values that determine the above functions can be changed in time and number of days as appropriate due to legal revisions, and new functions can be added by enacting new laws. Is possible.

Next, a description will be given of the plot symbols for displaying the attribute-specific actual data on the scatter diagram S. A different plot symbol is set for each employee attribute in order to visualize which attribute is distributed or unevenly distributed in which area among the areas F1 to F10. In the present embodiment, three types of employee, part-time job, and newcomer are set as plot symbols, but the present invention is not limited to this.

Returning to FIG. 1, the evaluation result data R and the scatter diagram S generated by the evaluation result data generation unit 115 and the scatter diagram generation unit 117 and the calculation result table C generated in the course of the processing are displayed by the display unit 4. Is done.

FIG. 7 shows an example of a processing flow for generating data R and scatter diagram S as evaluation results. Hereinafter, the processing flow will be described with reference to the configuration of FIG. When each employee inputs input data from the input unit I (S1), the input data is transmitted to the server 1 via the Internet network, and the calculation unit 11 of the server 1 uses the number of working days and working hours of each employee. Calculated (S2). Here, in the present embodiment, a flow is shown in which the process of generating the evaluation result data and the process of generating the scatter diagram are simultaneously performed. However, it is not always necessary to select one of them. You may do it. Hereinafter, first, the process of generating evaluation result data will be described. The calculation unit 114 counts the number of employees in each area by store unit (S3), and calculates the distribution ratio of the counted number of people (S4). A calculation result table is generated based on the counted number of persons, the calculated distribution ratio, the area read from the area setting unit 112, the pattern read from the evaluation setting unit 113, and the evaluation content data (S5). From the generated operation result table, the evaluation result data generation unit 115 performs aggregation (S6), and the aggregation result is generated as evaluation result data (S7).

On the other hand, in the generation process of the scatter diagram S, first, the attribute-specific operation data generation unit 116 generates attribute-specific operation data from the attributes of the input data input in S1, the number of working days and the working hours for each employee. (S8). The scatter diagram generation unit 117 reads each region data from the region setting unit 112 (S9), and creates a scatter diagram from the attribute-specific operation data and the read region data (S10).

As described above, the labor management system according to the present invention is applied to labor management in a plurality of workplaces of the same form, such as a multi-store type company, but is used for labor management in a single workplace. It is also possible to do. In this case, the R3 column of the evaluation result data R described in FIG. 5 may be a total number column for the number of people, and the R4 column may be a column for describing the distribution ratio of the number of people.

For example, from the calculation result table C and the scatter diagram S described in FIG. 4, a store serving as a benchmark is identified with reference to business results and the distribution ratio of the identified store and a problem in labor management arise. Investigate the problem of how to assign employees by finding and extracting the distribution ratio difference value of stores that are operating or stores where performance has deteriorated and displaying it (not shown). It is also possible to use it as a material in order to examine the measures.

Returning to FIG. 1, based on the working hours of each employee calculated by the calculation unit 111, the total working time of each employee is accumulated in the accumulation unit 118. The amount of total working hours of employees can be fake as an experience value for work. The identification of the experience value for each employee is processed by the experience value identification unit 120. The experience value specifying unit 120 has an experience value table (not shown) in which the total working time is divided into a plurality of levels according to a predetermined time range, and to which level the accumulated total working time of each employee is accumulated. Read from this experience value table whether it is applicable. The experience value table provides a range of time, for example, rank A when the total work time is 1000 hours or more, rank B when the total work time is 300 hours or more and less than 1000 hours, rank C when the total work time is less than 300 hours. The symbols such as A, B, and C indicating the rank may correspond to the width of each time.

The starting point of the total working hours to be accumulated is at the time of the first input by the input terminal 2, but if the input is interrupted for a predetermined period or longer, the above-described accumulation process is cleared and the next input is renewed. Integration is performed as a starting point. In other words, it is assumed that the acquired experience value will be reduced or lost if there is no work for a certain period of time due to absence or leave.

FIG. 8 is a process flow diagram for specifying the experience value of each employee. Data input (S1) and calculation of working days / working hours (S2) are the same processing as in FIG. Of the calculation results of S2, only working hours are used for specifying experience values.

The total working time up to the previous time of the target employee is read using the employee data input in the data input of S1 (S11). The total working hours of each employee is stored in the storage unit 118 in association with the employee data (the storage unit 118 may be stored as a file in the external storage device, for example). As a result of reading the total working hours, if there is no data of the total working hours corresponding to the employee, it is determined as the first input, that is, the starting point of the total working hours (Y in S12). On the other hand, if there is data on the total working hours up to the previous time (N in S12), it is determined whether or not a predetermined period has elapsed since the previous data input (S13). If the predetermined period has elapsed (Y in S13), the stored total working time data is deleted (S14). If it is the first input in S12 or if the data of the total working hours up to the previous time is deleted in S14, the working hours calculated in S2 are newly stored in the storage unit 118 in association with the employee data. (S15). For employees who have passed the predetermined period of time, the employee data such as the previous employee number may be deleted, and then the employee data may be newly added when inputting the data. . In this case, since it is regarded as a new employee on this system, the determination and processing of S13 and S14 become unnecessary. If the predetermined period has not elapsed since the previous data input in S13 (N in S13), the total working time up to the previous time read in S11 is accumulated by the accumulating unit 119 to obtain the data. It is updated (S16).

When the total working time of the target employee is determined in S15 or S16, the experience value specifying unit 120 reads the experience value table (S17) and sets the experience value (rank) corresponding to the determined total work time. Determine (S18). Employee-specific experience value data is generated from the determined experience values of each employee (S19). FIG. 9 shows an example of employee experience data I. Employee data I1 specified by the employee, weekly date (for example, to specify the week, for example, the date of Monday is specified) data I2, workplace data I3 specifying the store, each employee's data It is composed of accumulated time data (I4) indicating the total working time, and empirical value (displayed by symbols such as E and D in the present embodiment) data corresponding to each accumulated time data. Even if the same employee changes the store (workplace), if the work contents are basically the same, the experience value is considered to be accumulated, so the data change due to movement between stores Even if there is, total working hours are added up. In FIG. 9, M of the same person worked at the store code 114 until the week of November 8, 2010, but worked at the store code 134 during the week of November 15, 2010. However, even if there is a movement between stores, it shows that the integration process is being performed. Therefore, in such a case, the integration process may be performed in association with employee data.

Returning to FIG. 1, when the experience value of each employee is specified by the experience value specifying unit 120, the totaling unit 121 divides the working hours per day for each predetermined unit time for each store. The number of employees working is counted according to the experience value. Based on the total number of persons, the experience value distribution list generation unit 122 generates an experience value distribution list on a daily basis.

FIG. 10 shows an example of the experience value distribution list D. The experience value distribution list D includes a store column D1, a week date column D2, a day of week column D3, a date column D4, an experience value column D5, and a unit time totaling column D6. The store column D1 can be acquired by reading the workplace data of the input data, the week date column D2, the day of week column D3, and the date column D4 from the attendance data of the input data. Further, the experience value column D5 and the total time column D6 read the employee with the same experience value for each store from the employee experience value data I, and read the working time from the attendance data. The relevant employees can be tabulated. In this embodiment, the unit time is set to 1 hour, but the unit time can be changed as appropriate, and may be, for example, 30 minutes.

1, based on the experience value distribution list D generated by the experience value distribution list generation unit 122, the distribution graph generation unit 123 generates a distribution graph G. FIG. 11 shows an example of a distribution graph G generated based on the experience value distribution list D. In the distribution graph G, the vertical axis is the total of the total number of persons in each unit time, and the horizontal axis is the working hours per day dividing the unit time. A graph for each workplace showing the transition of the number of people is generated. In the present embodiment, the distribution graph G is a bar graph in which the number of persons working per unit time (1 hour in the present embodiment) is plotted on the horizontal axis with the unit cell as one person in the spreadsheet. The experience value may be displayed as a symbol (in this embodiment, a symbol such as E or D) indicating the level of the experience value for each cell (each employee) constituting the bar graph. By displaying the distribution graph G in this way, in addition to the number of people assigned per unit time, the number of employees with what experience value as a breakdown of the number of people assigned as well as the change in working hours It becomes possible to list. Although the distribution graph G in FIG. 11 shows what is displayed by dividing the working hours per day into unit hours, it is generated by specifying the unit to be totaled by the totaling unit 121 by data that can be acquired from the input data. It is also possible to select variations on the horizontal axis of the distribution graph G to be displayed. For example, if these data are included in the attendance / employment data input from the input terminal 2 such as yearly, monthly, weekly, month-end or month-first, predetermined day of the week, and holidays, the horizontal axis of the distribution graph G It is also possible to display and generate in units. Moreover, although the distribution graph G of FIG. 11 has shown the thing of one store, you may arrange | position and display the distribution graph G of several stores in parallel, aligning the unit of a horizontal axis. Furthermore, a plurality of stores existing in a predetermined area may be aggregated and displayed in parallel for each area. In addition, as described above, the distribution graph G has the working hours per day as the upper limit when working hours are plotted on the horizontal axis. For example, in the case of a store operating 24 hours, the horizontal axis indicates “per day. “Working hours” may be defined according to the actual situation. Therefore, even if there are two days in the calendar on the horizontal axis, this may be set as “working hours per day”. The horizontal axis variation may be selected by providing a horizontal axis selection unit (not shown) in the experience value distribution list generation unit 122. For example, the selection unit may provide a drop-down list or the like on the distribution graph so that the variation on the horizontal axis can be selected.

FIG. 12 shows an auxiliary line A that intersects either the horizontal axis or the vertical axis for the distribution graph G. The auxiliary line A is, for example, the start time, working hours, the generation time of premium wages, etc. that intersect the horizontal axis, and the upper limit number of people corresponding to the profit base, This is the approximate number of people to set. By drawing the auxiliary line A on the distribution graph G, it becomes easy to determine the level of employment status with respect to a predetermined standard. Further, by drawing the auxiliary line A on the distribution graph G of a plurality of stores displayed in parallel, comparison between stores becomes easy.

FIG. 13 is a diagram illustrating an example in which an exhaustion degree column D7 is added to the experience value distribution list D. When assigning an employee, if a specific employee is overloaded, the employee's motivation may be reduced, leading to reduced service and productivity. This employee load cannot be accurately grasped only by the amount of time, for example, whether or not there is a lot of working hours by summing up monthly. It is also necessary to judge the continuity factor of how long the working hours with load are continuous. In FIG. 12, the fatigue level is specified by combining the amount of working hours and continuity, and this is added to the experience value distribution list D. The exhaustion degree is quantified by the scoring unit 124 in FIG. The scoring processing unit 124 acquires, for each employee, the number of working days or working hours of each employee within the predetermined period calculated by the calculation unit 111 as the amount of work, and from the attendance data for each employee within the predetermined period. The number of consecutive working days of employees or the number of days that each employee's working hours per day is equal to or longer than a predetermined time is acquired as the degree of continuity. The storage unit 118 stores a plurality of first extraction conditions with a predetermined labor amount as a threshold value in advance. As an example of the first extraction condition, when the predetermined period is one month, “the number of working days is 22 days or more”, “the total time exceeding the legal working hours is 45 hours or more”, and the like. The storage unit 118 also stores a plurality of second extraction conditions with a predetermined continuity as a threshold in advance. Examples of the second extraction condition are “the maximum number of consecutive working days is 6 days or more” and “the consecutive days exceeding the legal working hours are 3 days or more”. The scoring processing unit 124 compares the acquired labor amount and continuity of each employee with the first extraction condition and the second extraction condition of the storage unit 118, and extracts those that are equal to or more than the respective threshold values. The first extraction condition and the second extraction condition stored in the storage unit 118 are assigned to each threshold value in association with a score considering the labor load. The scoring unit 124 quantifies the fatigue level by adding the points of the extracted ones. There is a table in which the degree of exhaustion score is divided into a plurality of levels in advance according to a predetermined score range (not shown), and for example, each level is displayed by a predetermined symbol or the like. The level of the summed score is searched for in this table, and the fatigue level of each employee is specified by this level. The level specified by the scoring processing unit 124 is transferred to the experience value distribution list generating unit 122 and displayed as shown in FIG. (In FIG. 13, symbols such as C1, D1, etc. are used as symbols indicating the degree of fatigue.) The degree of fatigue may be displayed on the distribution graph G, although not shown. For example, the degree of exhaustion may be indicated by separately painting the color of each cell of the distribution graph G. If displayed in this way, from the distribution graph G, the assigned employee's experience value and the current degree of exhaustion can be observed simultaneously. The applicant has disclosed a technique for specifying the degree of exhaustion in Japanese Patent Application Laid-Open No. 2009-146257, and uses this known technique to specify the degree of exhaustion for each employee and display it in the experience value distribution list. It may be.

The employee's uneven distribution status can be ascertained by the date and time by the experience value distribution list D and the distribution graph G. Furthermore, by generating the experience value distribution list D and the distribution graph G for only a specific day, it becomes possible to grasp the specific employee assignment situation. For example, if you specify the busy season or the day of the campaign, and generate the experience value distribution list D and distribution graph G, sales will drop only at certain stores even though many people are assigned. You can understand both the amount and quality of assignments, such as when the breakdown is only newcomers.

The form of providing the labor management system according to the present embodiment may be a form distributed as a labor management program that causes the computer to realize the various functions.

DESCRIPTION OF SYMBOLS 1 Server 2 Input terminal 3 Input part 4 Display part 111 Calculation part 112 Area | region setting part 113 Evaluation setting part 114 Calculation part 115 Evaluation result data generation part 116 Actual data generation part 117 according to attribute Scatter chart generation part 118 Storage part 119 Accumulation part 120 Experience value specifying unit 121 Totaling unit 122 Experience value distribution list generating unit 123 Distribution graph generating unit 124 Scoring processing unit

Claims

A labor management system for managing working hours and working days of a plurality of employees having different work style attributes,
Work data that identifies at least the workplace in which each employee works, employee data that identifies each employee, attribute data that identifies attributes related to the work style of each employee, and attendance Input means for inputting input data including time and attendance data for recording date and time, calculation means for calculating the working days and working hours of each employee within a predetermined period based on the employee data and time and attendance data, and each attribute The various working days and working hours defined by various laws and regulations, labor contracts, and other agreements applied in accordance with the above are specified as a function of the working days and working hours within the predetermined period, respectively. An area setting means for setting a plurality of areas demarcated from a function, and belonging to each of the set areas from the calculated working days and working hours of each employee The calculation means for counting the number and calculating the distribution ratio of the number of people in each area for each workplace, and the uneven distribution serving as a reference for evaluation from the distribution ratio of the number of persons belonging to the range of each area or the combination of a plurality of areas An evaluation setting unit that sets a pattern of a situation, and the evaluation setting unit identifies the pattern corresponding to each workplace based on the distribution rate calculated by the computing unit, and the distribution rate of each pattern of the plurality of workplaces And at least evaluation result data generating means for generating evaluation result data in which the pattern, the number of stores, and the distribution rate of the pattern are associated with each other, and display means for displaying the evaluation result data Labor management system.
The labor management system according to claim 1, wherein the input means automatically inputs the input data together with the time stamping process of the employees.
The labor management system according to claim 1 or 2, wherein the input means inputs the input data via an Internet network.
Each of the specified functions is displayed on a graph in which the vertical axis represents working hours and the horizontal axis represents the number of working days, and each employee calculated by the calculating means is included in each area surrounded by each function. Coordinate data composed of working days and working hours is plotted with a predetermined plot symbol indicating the attribute data corresponding to each employee, and has a scatter diagram generating means for generating a scatter diagram, which is good for the display means The labor management system according to any one of claims 1 to 3, wherein a scatter diagram is displayed.
Starting from the first input of the input data as a starting point, an integration means for integrating the total working hours of each employee, and the experience value of each employee is divided into a plurality of levels according to a predetermined working time range, Based on the level corresponding to the accumulated total working hours of each employee, the experience value specifying means for specifying the experience value of each employee, the input data and the experience value of each employee, Totaling means for dividing working hours into predetermined unit times and totaling the number of persons by experience value for each unit time; and an experience value distribution list generating means for generating a list of daily units from the total number of persons by workplace The labor management system according to any one of claims 1 to 3, wherein the display means displays the generated experience value distribution list.
6. The labor management system according to claim 5, wherein when the input by the input means is interrupted for a predetermined period or longer, the integrating means sets the next input time as the starting point.
The vertical axis is the total of the total number of people in each unit time, and the horizontal axis is the working hours per day dividing each unit time, showing the change in the number of people per unit time from the experience value distribution list A distribution graph generating means for generating a graph for each workplace, and displaying a breakdown of the experience value in the total of the total number of persons, and displaying the generated distribution graph by the display means; The labor management system according to claim 5, wherein the labor management system is characterized by the following.
The distribution graph generation means includes selection means for selecting a unit of the horizontal axis of the distribution graph based on data obtainable from the input data, and the distribution graph is generated with the selected data as a unit of the horizontal axis. The labor management system according to claim 7, wherein:
The calculation means sets the number of working days or working hours of each employee within the predetermined period calculated as a labor amount, and sets a plurality of predetermined labor amounts as threshold values, and the labor amount is equal to or greater than any one of the threshold values. Based on the first extraction condition for extracting the employee and the attendance / leaving data input by the input means, the number of consecutive working days of each employee within the predetermined period or the working time per day of each employee is a predetermined time or more The number of days of the day is set as a continuity, a plurality of predetermined continuity is set as a threshold, a second extraction condition for extracting employees whose continuity is equal to or higher than any one of the thresholds is set, and the first Points that consider each labor load are assigned to the 1 extraction condition and the 2nd extraction condition, and the points obtained by adding the corresponding points to the employees extracted according to the 1st extraction condition and the 2nd extraction condition are added. Chemical process A means for dividing the total score into a plurality of levels according to a predetermined range, setting each level as a level of exhaustion, and determining the level of exhaustion for each employee corresponding to the total score The labor management system according to claim 5 or 6, wherein the labor management system is displayed in a value distribution list.
A program for labor management, which causes a computer to realize the function according to any one of claims 1 to 9.