JP7796084B2 - Man-Hour System - Google Patents

Description

This invention relates to a man-hour system developed to examine the working styles and activities of individuals in corporations engaged in business activities, as well as other organizations and groups engaged in various social activities, in order to maximize the benefits of individuals and the organizations to which they belong.

In recent years, many countries around the world have seen declining birth rates and aging populations, making securing a labor force a major social issue. Japan, in particular, is the country with the most advanced population decline and aging, and long working hours have become the norm. Furthermore, women's participation in society is lagging behind. Under these circumstances, improving the working environment is an urgent priority, and individual companies have been working to promote work style reform by reviewing the content and hours of work. The recent COVID-19 pandemic has accelerated teleworking and digitalization, eliminating restrictions on where people work. Improving the efficiency and quality of "work styles," including workplaces, is now even more crucial than ever in order to increase organizational productivity, secure talented personnel, and enable employees to recognize and autonomously improve their own work styles. Amid this work style reform trend, there is a need to create a system that benefits both corporations and other organizations, as well as the individuals who work there.

In line with this social trend, the applicant has long been independently developing various in-house systems. By repeatedly upgrading existing functions and updating them year after year, the applicant has developed easy-to-use, purposeful systems that meet the needs of modern society. Some of this technology is described, for example, in JP 2021-64163 A (Patent Document 1).

Japanese Patent Application Laid-Open No. 2021-64463

After developing the technology described in the above publication, the applicant continued to develop the technology, incorporating internal and customer needs, with the aim of making individual work styles easier to understand and easier to improve, and has produced even more new results in the process. The present invention provides some of those results, and is intended to benefit various organizations, including companies, and the individuals who work there.

The present specification provides the following inventions.
That is, one aspect of the present invention provides a man-hour system that includes a management item storage means for storing management items including individuals, work content, work location, and time, a data aggregation means for selecting predetermined management items from the management items and aggregating the selected management items, and a report display means for creating and displaying predetermined charts and graphs from the management items aggregated by the data aggregation means, wherein the report display means creates both a chart showing the relationship between any two or more of the three management items of work content, work location, and time aggregated within a predetermined period, and a chart showing the relationship between any two or more management items other than the above two or more management items, and displays these charts together.

In one aspect of the present invention, the system includes a management item storage means for storing management items including individuals, work content, work location, and time. This allows necessary data to be stored as management items, and by utilizing these, various situations related to work styles can be summarized. Furthermore, the system includes a data aggregation means for selecting specific management items from the management items and aggregating the selected management items. This allows for the extraction of management items such as work content that match the purpose, associating them with individuals, etc., and aggregating and processing data, such as calculating the total work time allocated to specific work content within a specified period. Furthermore, the system includes a report display means for creating and displaying specified charts and graphs from the management items aggregated by the data aggregation means, allowing necessary management items to be displayed in graphs, etc., allowing individuals to visually grasp their work styles. The report display means then creates both a diagram showing the relationship between any two or more of the three management items - job content, work location, and time - compiled over a specified period, and a diagram showing the relationship between any two or more management items other than the aforementioned two or more management items, and displays these diagrams together. As a result, the relationship between any two or more of the three management items - job content, work location, and time - and the relationship between two or more management items other than these are displayed in a graph, an individual's work style can be recognized from multiple perspectives, and the nature of the work style can be easily grasped visually.

In one aspect of the present invention, a man-hour system is provided in which the management items include self-assessment, and the report display means creates both a chart showing the relationship between any two or more of the four management items (job content, work location, time, and self-assessment) compiled over a predetermined period, and a chart showing the relationship between any two or more management items other than the aforementioned two or more management items, and displays these charts together.

In one aspect of the present invention, the management items include self-assessment, making it possible to recognize not only the objective results of work style but also results that incorporate the individual's subjective views. The report display means creates both a diagram showing the relationship between any two or more of the four management items (job content, work location, time, and self-assessment) compiled over a specified period, and a diagram showing the relationship between any two or more management items other than the aforementioned two or more management items, and displays these diagrams together. This allows an individual's work style to be summarized from multiple perspectives, including self-assessment, and allows the results of aligning one's own perception with the objective state of work to be easily grasped visually.

In one aspect of the present invention, the report display means creates two or more diagrams showing the relationship between any two or more management items, each for a different predetermined period or for different individuals, and creates two or more diagrams showing the relationship between any other two or more management items, each for a different predetermined period or for different individuals, and provides a man-hour system in which these diagrams are displayed together.

The report display means creates two or more diagrams showing the relationship between any two or more management items, each for a different predetermined period or individual, and creates two or more diagrams showing the relationship between any two or more other management items, each for a different predetermined period or individual, and displays these diagrams together.This makes it possible to compare differences between predetermined periods or individuals, and to grasp at a glance the differences due to differences in periods or individuals.

One aspect of the present invention provides a man-hour system in which the relationship between any two or more of the management items is between the work content and the time spent on that work content, and the relationship between any other two or more of the management items is between the work location and the time spent at that work location.

The relationship between any two or more of the management items is between the work content and the time spent on that work content, and the relationship between any two or more of the other management items is between the work location and the time spent at that work location, so it is possible to see at a glance how much time was spent on each work content and how long the person spent at each work location.

One aspect of the present invention provides a man-hour system that further includes a message display means that displays a message when there is a predetermined change in the work content or time spent at the work location from the work content or time spent at the work location over a predetermined period of time.

The system further includes a message display means that displays a message when there is a specified change in the work content or time spent at the work location from the work content or time spent at the work location over a specified period of time.This allows the employee to learn of any major changes in their work style through the message, and in addition to being aware of them visually, they can receive direct advice from the system, providing an opportunity to gain insights into how to improve their work style.

In one aspect of the present invention, a man-hour system is provided that further includes machine learning means, which uses accumulated past data on management items including individuals, job content, work location, hours, and self-evaluation as training data and inputs new data on management items including a new individual's job content, work location, hours, and self-evaluation into a trained model that has undergone machine learning to estimate an individual's ideal work style, thereby outputting work style information that estimates the new individual's ideal work style.

The system further comprises machine learning means, which uses accumulated past data on management items including the individual, job content, work location, hours, and self-evaluation as training data and inputs new data on management items including the job content, work location, hours, and self-evaluation of a new individual into a trained model that has undergone machine learning to estimate an individual's ideal work style, thereby outputting work style information that estimates the new individual's ideal work style.As a result, it is possible to present an individual's ideal work style from accumulated past data.

This invention makes it possible to analyze individual work styles, implement work style reforms, and lay the foundation for improving the work carried out by organizations.

FIG. 1 is a diagram illustrating how a man-hour system is used. FIG. 2 is a block diagram showing the functional configuration of a management server. 3A and 3B are explanatory diagrams showing an example of an input screen, in which FIG. 3A shows the screen before the self-evaluation input field is displayed, and FIG. 3B shows the screen in which the self-evaluation input field is displayed as a pop-up. FIG. 10 is an explanatory diagram showing an example of a behavior history display page. 5A and 5B show modified examples of location-time graphs, where FIG. 5A is a pie chart and FIG. 5B is a rectangular graph. 6A shows a location-day graph, and FIG. 6B shows a graph indicating the work location by percentage, and FIG. 6B shows a graph indicating the work location by total time. 7A and 7B show modified examples of activity-time graphs, where FIG. 7A is a bar graph and FIG. 7B is a pie chart. 8A shows an activity vs. day of the week graph, where FIG. 8A is a graph showing activity as a percentage, and FIG. 8B is a graph showing activity as a total time. 9A and 9B show activity-location graphs, where FIG. 9A is a graph showing the proportion of activities by work location, and FIG. 9B is a graph showing the proportion of work location by activity. 10A shows modified examples of activity-location graphs, where FIG. 10A is a graph showing the work location for each activity as a percentage, and FIG. 10B is a graph showing the work location for each activity as a total time. 11A and 11B show modified examples of activity-location graphs, in which FIG. 11A is a graph showing activity by percentage for each work location, and FIG. 11B is a graph showing activity by total time for each work location. FIG. 10 is an explanatory diagram showing an example of a behavior history display page showing information about multiple people together. FIG. 10 is an explanatory diagram showing an example of a behavior history display page with self-evaluation. FIG. 10 is an explanatory diagram showing an example of a behavior history display page showing a comparison over time.

The man-hour system of the present invention is a system that is introduced to analyze the working styles and activities of each employee, officer, member, and other personnel (hereinafter, various people collectively referred to as "individuals") who make up a corporation such as a company, group, project, or other organization (hereinafter, various collections of people collectively referred to as "organization"), in order to realize reasonable and appropriate work for individuals and efficient labor distribution for organizations.

Figure 1 shows how a man-hour system 10 is used. In this man-hour system 10, a management server 1 and user terminals 2 (2a, 2b, ...) used by individuals such as employees who perform daily tasks are connected via a network 3.

Management server 1 receives instructions from user terminal 2 via network 3 and performs processing in accordance with those instructions. This management server 1 is configured with a central processing unit (CPU) that functions as a calculation device and control device, a main memory device such as RAM, an external memory device such as a hard disk, a communication device such as a modem, and computer programs. This management server 1 may be a computer management server connected to a network other than that of user terminal 2, or it may be a management server shared by the computer of user terminal 2. It may also be a cloud management server used in cloud computing.

User terminal 2 is a computer used by an individual belonging to an organization such as a company or an individual with certain permissions, and can be one or more computers 2a, 2b, etc. This user terminal 2 is configured with a communication device that can connect to and communicate with a network such as an in-house LAN or the Internet, and can launch a program, connect to the network, access management server 1, retrieve and display data stored on management server 1, send data entered through an input device to management server 1, and receive data from management server 1 and print it out through an output device. The computer that serves as this user terminal 2 can be a personal computer, a mobile phone, a tablet, etc.

The block diagram in Figure 2 shows the functional configuration of the management server 1. As shown in Figure 2, the management server 1 has a management item storage means 11, a data aggregation means 12, a display means 15 including a report display means 13 and a message display means 14, and a machine learning means 16, and these functions are realized by the device.

The management item storage means 11 functions as a management item database, recording as management items items necessary for managing man-hours, such as personal information such as an individual's name, age, affiliation, etc. (collectively referred to as "personal information" or simply "individual"); various items indicating an organization's business, such as targets such as customers, projects, sales offices, and regions, and job classifications such as accounting, sales, and development; various items indicating an individual's work content and behavior (collectively referred to as "work content" or "activity"), such as planning, sales, customer visits, meetings, travel, and breaks; various items indicating the location where an individual performed work (also referred to as "work location" or simply "location"), such as the company, home, or client's office; various items indicating an individual's self-evaluation (performance), such as performance level: high, somewhat high, somewhat low, low, not applicable, etc.; and the time spent on an individual's work or activity (also referred to as "work time" or simply "time"), such as date, day of the week, start time, finish time, etc.

The data aggregation means 12 associates the management items entered by individuals, such as work content, work location, and work hours, with the individual and stores them in the management item storage means 11. It also selects and extracts the necessary management items from the various management items recorded in the management item storage means 11, and processes them by classifying them into specific management items according to the purpose, or by performing calculations such as aggregation.

The display means 15 displays the management items stored in the management item storage means 11 and the items processed by the data aggregation means 12 on the user terminal 2, or outputs them as reports. This display means 15 includes the report display means 13 and message display means 14, which will be described later, and in addition to displaying reports and messages, it also displays input screens, etc.

The report display means 13 creates and displays the items compiled and processed by the data aggregation means 12 in a specified chart format. The message display means 14 creates and displays various items as messages.

The management server 1 can also be equipped with various other functions, such as an ID recognition means that performs processing to recognize personal names, assignments, titles, management authority, etc. based on specified ID information and has the function of restricting access rights, and an alert generation means that observes abnormal values and issues alerts.

Next, we will explain the specific operation and operation of the man-hour system 10, which is configured using the above devices and performs the above functions. To analyze the working habits of individuals within an organization, it is first necessary to accurately understand the work content, work location, and work hours of each individual. Therefore, as the first embodiment, we will explain a specific example of the input screen required for individuals to enter management items such as work content, work location, and work hours via the user terminal 2 and register them in the system.

First embodiment: <Creating an input screen> [Fig. 3]
Fig. 3 shows an example of an input screen 30. As shown in Fig. 3(A), the input screen displays a time input field 31 for selecting and inputting the start and end times of the work to be input, a work location selection field 32 for selecting and inputting the location where the work was performed (work location), an activity input field 33 in which the work content is displayed as an activity item and an individual can select and input, and a customer selection field 34 for selecting whether the work is for a customer.

As an example, suppose this man-hour system 10 is introduced to a company that manages construction projects and applied to Individual A, an employee working there. First, Individual A selects the hours of work they performed from the pull-down menu in the time input field 31. Depending on the work content, for example, if a morning meeting is held from 10:00 to 12:00, they would select the start time of 10:00 and the end time of 12:00.

Next, Individual A enters whether the work involves client work or internal management work that does not involve clients, whether to select a client, and if so, the specific client name in the client selection field 34. However, Individual A can also skip this selection. It is also possible to prevent the client selection field 34 from being displayed on the input screen 30.

To select work content, the appropriate work content is selected from the options listed in the major, medium, and minor categories in the activity input field 33. In order to incorporate the work content of individuals within an organization into the system, the system 10 allows the various work content performed by individuals, which is determined in advance according to the organization to which the individual belongs, to be specified using options further detailed within the major, medium, and minor categories. In addition, in order to incorporate the work content of individuals within an organization into the system, the system allows individuals to freely enter the various work content they perform.

For a company that manages construction projects, the major categories include management items such as the order receipt phase, design phase, and construction phase, which are prepared as options. The medium categories include management items such as estimates, basic plans, and selection of designers and builders, which are prepared as options. The minor categories include management items such as meetings, document preparation, and travel, which are prepared as options. Individual employee A can accurately register his or her job details by selecting the appropriate option from each category, in the order of major, medium, and minor. Furthermore, apart from the above options, the employee can freely enter the job details for each of the major, medium, and minor categories.

As a general rule, all job details are displayed among these options, so all you need to do is select one, which reduces the amount of work an individual has to do to enter information compared to typing in the text. On the other hand, if there is no option that matches your needs, you can select "not applicable" and then write in the specific job details.

Individual A also selects and inputs a specific work location. Depending on the work location selected in the work location selection field 32, specific candidate work locations are displayed in the other display field 35. For example, if "in-house" is selected in the work location selection field 32, the options include head office, TS branch office, TM branch office, conference room, office, etc.; if "external" is selected, the options include client site, on-site RE, on-site RS, cafe, shared office, travel, etc. If the work location is at home, no specific candidates are displayed in the other display field 35. This is because where a person works at home varies from person to person, and privacy must also be taken into consideration. However, if there is a desire to consider performance at home, individuals can customize the other display field 35 to display candidate locations. By incorporating work location into the man-hour system 10, the degree of progress toward teleworking can be analyzed as the transition from office work to telework progresses.

Individual A can also select and input a self-evaluation. When Individual A clicks to enter the desired work content in the activity input field 33, a self-evaluation input field 36 pops up, as shown in Figure 3(B). Examples of self-evaluations include high (better than expected), somewhat high (performed at the expected level), somewhat low (slightly accomplished), low (hardly accomplished), and not applicable, and these can be selected. By linking self-evaluations to work content, time, and location, it is possible to analyze what work content, time, and location were efficient and effective, or vice versa.

While past facts about work content, time, and location can be registered as actual results, future work plans can also be entered. Plans are entered in the same way as work results are registered. In other words, the individual input method is the same for both results and plans; if the date and time entered is in the past, it will be an entry of work results, and if the date and time is in the future, it will be an entry of future work plans.

Individual B, who is Individual A's supervisor, may frequently need to input Individual A's schedule. For example, while Individual A is working on a facility construction project this month, Individual B, who is the manager, may be considering assigning Individual A to another facility construction project next month, or Individual B may invite Individual A to a meeting scheduled for a certain date. However, it is preferable to adopt a system in which no one other than Individual A can input actual results, i.e., Individual A's past work details. Furthermore, even Individual A can be prevented from re-entering data once he has registered and received approval from Individual B.

In this system 10, the management item storage means 11 stores the above options as input items, and the display means 15 creates and displays the above input screen 30. When individual A enters their name, job content, work location, self-evaluation, time, etc. through this input screen 30, the data compilation means 12 associates these input items with each other and records them in the management item storage means 11, which then records and accumulates them. At this time, the management item storage means 11 also records whether the specified date and time is planned or actual in relation to the actual date and time when the system is operating. Note that a predetermined code can be assigned to each job content in advance, and the data compilation means 12 can compile data according to the code.

The various management items registered in the system are then processed by the data aggregation means 12 into the desired format by summarizing, classifying, and calculating specific items according to the purpose. The processed data is then displayed on the user terminal 2 or output as a report by the display means 15. In particular, the report display means 13 creates and displays the data in a specified chart format, and the message display means 14 displays differences from past data as messages. Next, we will provide a more detailed explanation of the charts displayed as reports and the matters displayed as messages. Note that duplicate explanations of effects, processes, conditions, etc. that are common to each of the following embodiments will be omitted.

The self-assessment input field 36 has been described as appearing as a pop-up each time an activity is entered in the activity input field 33, but the input screen 30 can also be configured so that the self-assessment input field 36 is displayed from the beginning. An individual can then complete the input by entering only some of the various management items, without having to enter all of them. For example, they can skip entering their self-assessment by clicking the confirm button without entering their self-assessment.

Second embodiment: <Creation of behavior history display page 40> [Figure 4]
In this embodiment, the behavior history display page 40 visualizes, for a predetermined period (for example, July of this year), how much time was spent on each task of the individual recorded in the management item storage means 11, where the task was performed, and how much time was spent on each task. In other words, the behavior history display page 40 is a tool that clearly shows what task tasks are allocated to the individual's total task within the predetermined period and what percentage they account for, or where the individual's total task within the predetermined period was allocated to and what percentage they account for.

The behavior history display page 40 shown in Figure 4 displays a location/time bar graph 41a showing the work time for a certain month by work location as a bar graph, and an activity/time rectangle graph 42a showing the total work time for a certain month as a rectangle of a specified size, with the time spent for each work type as a rectangle with an area equal to the percentage of the total work time.
The location-time graph 41, which shows the relationship between location and time, such as the location-time bar graph 41a, allows users to see at a glance how much time they spent at each location where they performed work over a given period. Therefore, for example, by observing the ratio of time spent at home to work, it is easy to understand the progress of teleworking. Furthermore, if travel time is high relative to actual working time, it can also encourage employees to reduce their travel time. On the other hand, the activity-time graph 42, which shows the relationship between activity, i.e., work content and time, such as the activity-time rectangle graph 42a, allows users to see at a glance how much time was spent on each work content over a given period. If meetings take longer than other times, this can lead to efforts to shorten meeting time. Furthermore, understanding the ratio of time spent on chores and breaks to other main tasks can help establish standards for more intensive work styles.

Furthermore, the behavior history display page 40 shown in FIG. 4 displays a daily overtime display bar graph 48 showing the overtime hours worked each day, and an overtime comparison accumulation graph 49 showing the planned upper limit of overtime hours and the total actual overtime hours in parallel bar graphs.
The daily overtime display bar graph 48 allows the amount of overtime work or whether or not there is overtime work each day to be grasped as the day progresses, making it easy to recognize whether there is a lot of overtime work on average every day, whether there is an especially large amount of overtime work on certain days, or whether there is a bias on certain days of the week.
The overtime comparison accumulation graph 49 compares the target value for overtime work hours with the cumulative value of actual overtime work hours, and allows one to see at a glance how much the actual amount was compared to the target value for a specified period. Also, if the specified period that forms the basis for the display of the behavior history display page 40 is created from the beginning of the month to the current day, the overtime comparison accumulation graph 49 in that case will show how much overtime has been worked up to the present compared to the target value for the month, so that one can recognize how much overtime can be worked in the remaining days, taking into account the number of remaining days and the remaining overtime hours until the target value is reached.

The creation of the behavior history display page 40 will now be described. The data aggregation means 12 retrieves management items related to the individual's work content, work location, and time, for example, performed in July 2021, from the management item storage means 11, and aggregates the time spent for each work content and each work location. The report display means 13 then displays the results as a location/time bar graph 41a and an activity/time rectangular graph 42a. Furthermore, the data aggregation means 12 aggregates the time spent on work for the individual during the same period from the management item storage means 11 for each day, and the report display means 13 displays a daily overtime display bar graph 48, which shows the amount of time spent exceeding the specified working hours as overtime. Separately, the report display means 14 displays an overtime comparison accumulation graph 49, which shows the total overtime time alongside the scheduled overtime as a bar graph. The individual can then view this behavior history display page 40 displayed on the display of the user terminal 2, and can also print the behavior history display page 40 from a printer connected to the user terminal 2.

This behavioral history display page 40 displays the work an individual performed in July 2021 in graphs, broken down by task type or work location, allowing users to visually understand what type of work they performed, where they performed it, and how much time they spent on it. This allows users to see at a glance how they worked over the past month, become aware of the characteristics of their work style, and improve it themselves to help increase work efficiency.

The above is an example of the behavior history display page 40, but these can be modified to suit personal preferences for graphs and layout. Some example modifications are described below.

Modification Example 1: <Creating a graph different from the location-time graph 41> [Figure 5]
On the behavior history display page 40, a location/time bar graph 41a was used as the location/time graph 41 that displays the relationship between work location and time, but instead the report display means 13 can display it as a location/time pie chart 41b shown in Figure 5(A) or a location/time rectangular graph 41c shown in Figure 5(B).

Modification Example 2: <Creating a location/day of the week graph 45> [Figure 6]
On the behavior history display page 40, the report display means 13 displays the location/time bar graph 41a as a graph showing the relationship between work location and time, but instead it can display a location/day of the week graph 45. An example of this location/day of the week graph 45 is shown in Fig. 6, and it can be displayed as a location/day of the week proportion graph 45a (see Fig. 6(A)) showing the proportion of work location out of the total work time for each day of the week, or as a location/day of the week total time graph 45b (see Fig. 6(B)) showing the time spent at the work location for each day of the week.

Modification Example 3: <Creating a graph different from the activity-time graph 42> [Figure 7]
On the behavior history display page 40, the report display means 13 uses the activity-time rectangular graph 42a as a graph showing the relationship between activity and time, but instead it can display an activity-time bar graph 42b shown in Fig. 7(A) or an activity-time pie chart 42c shown in Fig. 7(B). The activity-time bar graph 42b and the activity-time pie chart 42c are bar graphs and pie charts showing the amount of time spent on each type of activity.

Modification Example 4: <Creating Activity/Day of Week Graph 47> [Figure 8]
On the behavior history display page 40, the report display means 13 used an activity-time rectangular graph 42a as the activity-time graph 42 that displays the relationship between work content and time, but instead it can display an activity-day-of-week graph 46. An example of this activity-day-of-week graph 46 is shown in Fig. 8, and it can be displayed as an activity-day-of-week proportion graph 46a (see Fig. 8(A)) that shows the proportion of activity out of the total work time for each day of the week, or as an activity-day-of-week total time graph 46b (see Fig. 8(B)) that displays the activity time for each day of the week as is.

Modification Example 5: <Creation of Activity/Location Graph 47 1> [Figure 9]
On the behavior history display page 40, the report display means 13 creates and displays a location-time bar graph 41a as a graph showing the relationship between work location and time, and an activity-time rectangle graph 42a as a graph showing the relationship between work content and time, but it can also create and display an activity-location graph 47 showing the relationship between activity and location in addition to, or in place of, either or both of these. An example of this activity-location pie chart 47a showing the relationship between activity and location in the form of a pie chart is shown in Figure 9.

Of the activity/location pie charts 47a in Figure 9, Figure 9(A) shows pie chart 47a1, which shows activity by work location, and Figure 9(B) shows pie chart 47a2, which shows work location by activity.

Modification Example 6: <Creating Activity and Place Graph 47 2> [Fig. 10, Fig. 11]
Figure 9 shows an activity-location pie graph 47a that shows the relationship between activity and location in a pie chart, but instead of this graph, it is also possible to display an activity-location bar graph 47b that shows the relationship between activity and location in a bar graph.
Figure 10 shows the work location for each activity in the activity/location bar graph 47b. Figure 10(A) is a bar graph 47b1 that shows the proportion of work location out of the total work time for each activity, and Figure 10(B) is a bar graph 47b2 that shows the time spent at each work location for each activity.

In addition, Figure 11 shows bar graphs of the activity/location bar graph 47b, which show the activities performed at each workplace. Figure 11(A) is bar graph 47b3, which shows the proportion of activity out of the total work time at each workplace, and Figure 11(B) is bar graph 47b4, which shows the actual time spent on activities at each workplace.

Other changes: <Time attendance management, etc.> [not shown]
In addition to the graphs described above, the behavior history display page 40 may also display attendance information and various other items, such as overtime hours, the number of holiday work days, the average speed at which individuals enter required data into the man-hour system 10, etc.

As described above, in response to an individual's request to output the behavior history display page 40, the behavior history display page 40 shown in Figure 4 is created and displayed by default. However, the behavior history display page 40 can be customized to suit individual preferences by changing various display items, such as displaying modified graphs as shown in the above modification examples, or by changing the report layout. In other words, when creating and displaying the behavior history display page 40, the display means 15 creates a screen through which the individual requests the creation of the behavior history display page 40, and creates an input screen on which the individual can select changes to the graph and layout. The report format is then customized based on the individual's selections.

The behavioral history display page 40 allows individuals to compare data for specific periods. For example, this month can be compared with last month, or this month with the same month last year. In addition to past data, it is also possible to set target data and compare data against that target data. Such comparisons allow individuals to easily consider how and where they should change their work style.

The man-hour system 10 can include break times and holidays in work hours, allowing them to be used as attendance information. For example, if an individual is a typist, by registering break times between typing sessions in the system, it can be determined whether the person is taking appropriate breaks.

In the above example, the specified period for creating the behavior history display page 40 was explained as July 2021, but this specified period can be changed as appropriate. For example, in the case of a construction worker whose work site changes periodically, a behavior history display page 40 can be created with the period during which the worker worked on the construction of Building A as the specified period, and another behavior history display page 40 can be created with the period during which the worker worked on the construction of Building B as the specified period. By comparing the two behavior history display pages 40, it is possible to compare the performance of the different sites, Building A and Building B.

Third embodiment: <Creation of behavior history display page showing information on multiple people> [FIG. 12]
The behavior history display page 50 shown in this embodiment visualizes how much time was allocated within a predetermined period to the work content and work locations of multiple people recorded in the management item storage means 11. In other words, like the behavior history display page 40 shown in the second embodiment, this is a tool that clearly shows what work content is allocated to an individual's total work within a predetermined period and what percentage it accounts for, or to which location the individual's total work within a predetermined period is allocated and what percentage it accounts for, but by clearly showing the work for multiple people, this tool makes it easy to compare the working styles of those multiple people.

The behavioral history display page 50 shown in Figure 12 displays a location/time bar graph 41a for each individual, which shows work time for each work location in a bar graph. Also displayed is an activity/time rectangle graph 42a for each individual, which shows the total work time for a given month as a rectangle of a specified size, with the time spent for each task as a percentage of the total work time.

In addition to the location/time bar graph 41a and activity/time rectangle graph 42a, the behavior history display page 50 shown in Figure 12 also displays a holiday work comparison graph 51 that displays the number of holiday work hours for multiple people, an overtime work comparison graph 52 that displays the overtime hours worked by multiple people, an application speed comparison graph 53 that displays the application speed for multiple people, and a people/location graph 54a that graphically shows the relationship between work locations and individuals, as well as a people/location pie chart 54a that shows the proportion of individuals by work location.

The creation of the behavioral history display page 50 will now be described. The data aggregation means 12 retrieves management items related to the work content, work location, and time performed by multiple people in, for example, July 2021 from the management item storage means 11, and aggregates the time spent for each work content, and also aggregates the time spent for each work location for each individual. The report display means 13 then creates the results and displays them as a behavioral history display page 50 in which the results for multiple people are arranged in parallel.

This behavioral history display page 50 displays the work done by individuals A, B, and C over a specified period of time in graphs, broken down by type of work or by work location, allowing users to visually understand what kind of work, where, and how much time was spent, and to compare the working styles of the three individuals.

Fourth embodiment: <Creating a behavior history display page with self-evaluation> [FIG. 13]
The behavior history display page 60 shown in this embodiment is a behavior history display page 60 with self-evaluation that displays the individual's self-evaluation in addition to the work content and work location of the individual.
The behavior history display page 60 with self-evaluation is a tool that not only clearly shows what work content is allocated to an individual's total work within a specified period and what percentage it accounts for, or where the individual's total work within a specified period is allocated to and what percentage it accounts for, but also clearly shows the individual's self-evaluation of the work content and work location.

The behavior history display page 60 with self-assessment shown in Figure 13 displays a location/time bar graph with self-assessment 61, which shows work hours for a given month by work location as a bar graph and also displays the self-assessment level percentage within the bar graph; an activity/time rectangular graph with self-assessment 62, which also displays the self-assessment level percentage within the activity/time rectangular graph 42a; a daily self-assessment display bar graph 63, which shows daily working hours and self-assessment level; and a self-assessment/time bar graph 64, which shows the time for each self-assessment level as a bar graph.

The creation of the behavior history display page 60 with self-assessment will be described with reference to the page shown in Figure 13. The data aggregation means 12 retrieves management items related to the individual's work performed in July 2021, for example, as well as work location, self-assessment, and time from the management item storage means 11, and aggregates the time spent for each work content, each work location, and each self-assessment level. The report display means 13 then displays the results as a location/time bar graph 61 with self-assessment and an activity/time rectangular graph 62 with self-assessment.
Furthermore, the data totaling means 12 totals the time spent on work for the same period for an individual from the management item storage means 11, dividing it into levels of self-evaluation for each day, and displays it as a self-evaluation display bar graph 63 every day, and separately displays the time for each self-evaluation level in a self-evaluation/time bar graph 64.

This behavioral history display page 60 not only displays the work an individual performed in July 2021 by task type or work location, but also displays their self-evaluation of each task, allowing them to visually understand how much time they spent on each task or location, and how they rated each task and work location.

The behavioral history display page 60 allows for self-evaluation in addition to analysis of work content and work location, making it possible to clearly compare the relationship between self-perception and results, or to objectively recognize vague self-perceptions, which can be used to review one's activities.

Fifth embodiment: <Creation of behavior history display page showing comparison over time> [FIG. 14]
In the previous embodiments, we have described behavioral history display pages 40, 50, and 60 that use various graphs to show how much time an individual spent on their work content, work location, etc. within a specified period of time.However, in this embodiment, we show a behavioral history display page 70 that displays multiple graphs with different specified periods together to visualize changes over time.

The behavioral history display page 70 shown in Figure 14 displays an activity comparison column 71 showing graphs for the month before last, last month, and the current month, as well as the target period, side by side, for an activity/time pie chart 42c that shows the amount of time spent on each activity within a specified period as a percentage of total activity; a location comparison column 72 showing graphs for the month before last, last month, and the current month, as well as the target period, side by side, for a location/time pie chart 41b that shows the amount of time spent at each work location within a specified period as a percentage of total activity; and a self-assessment comparison column 73 showing graphs for the month before last, last month, and the current month, as well as the target period, side by side, for a self-assessment proportion pie chart 74 that shows the level of self-assessment within a specified period as a percentage of total self-assessment.

The creation of the behavioral history display page 70 will be explained based on the page shown in Figure 14. The data aggregation means 12 retrieves management items related to the individual's work content, work location, and time performed in, for example, July 2021 (the current month) from the management item storage means 11, aggregates the time spent for each work content, aggregates the time spent for each work location, and aggregates the corresponding time for each self-assessment level. Similarly, aggregations are performed for the month before last and the previous month. The report display means 13 then displays the results in graphs in the activity comparison column 71, location comparison column 72, and self-assessment comparison column 73. The goal is for the data aggregation means 12 to aggregate the numerical values entered by the individual for each activity, work location, and performance and accumulated in the management item storage means 11, and the report display means 13 to output the respective graphs. The individual can view this behavioral history display page 70 displayed on the display of the user terminal 2, and can also print the behavioral history display page 70 from a printer connected to the user terminal 2.

This behavioral history display page 70 displays monthly changes in work content, work location, and self-evaluation in graphs, allowing you to visually understand what kind of work or where you spent your time, as well as the level of evaluation you gave yourself. This allows you to see at a glance how your work style has changed, making it easier to set goals.

Sixth embodiment: <Transmission of analysis message> [not shown]
In the embodiments described so far, the data aggregation means 12 aggregates and processes management items such as work content, work location, and work hours entered by individuals, etc., and the output is displayed by display means 15 such as report display means 13. Based on such output and various items processed from other accumulated management items, it is possible to compare with others, derive tendencies specific to the individual, etc., and deliver analysis messages that lead to individual awareness.
For example, messages such as "There are 50% more meetings this month than last month," or "Compared to last week, performance is falling further away from the set goals," or even the ideal way of working for that individual.

If the predetermined period is, for example, one month, the data aggregation means 12 aggregates the work hours for each task for each month and calculates the increase or decrease in work hours for each task this month compared to last month.The data aggregation means 12 then ranks the percentage of increase or decrease and extracts the task with the largest percentage of increase or decrease.The message display means 14 then displays a message about the task and the increase or decrease, such as "There are 50% more meetings this month than last month," as in the previous example.
Furthermore, a management item storage means 11 records an individual's set target, for example, a 10% reduction in meetings from the previous month, as a meeting reduction target, and a data collection means 12 compares this value with the actual results, and if the actual reduction in meeting time is not reduced by more than 10%, a message display means 14 displays a message such as "The actual results are different from the set target compared to last week."

Alternatively, a machine learning means 16 is provided that learns data recorded in the management item storage means 11 on management items such as job content, work location, work hours, and self-evaluation, and detects hidden patterns in the large amount of accumulated data. For example, machine learning such as deep learning can be performed based on the accumulated data to estimate the average individual's working conditions and take action based on such estimates, thereby enabling appropriate management of working conditions. Therefore, by using past data as training data and inputting new data such as job content, work location, and work hours into a learning model generated by machine learning, it is possible to output an estimated ideal working situation.

More specifically, a trained model is generated using machine learning to predict an individual's working style, using accumulated data such as the individual's job content, work location, working hours, and self-evaluation as training data. Then, by inputting the individual's new data such as the individual's job content, work location, working hours, and self-evaluation into the trained model, the ideal working style for that individual is predicted and this information is output.

The example shown in the above embodiment is merely one embodiment of the present invention, and modifications such as changes to components between embodiments, addition of publicly known technology, and other variations can be made as appropriate without departing from the spirit of the present invention. For example, the modified example described in the second embodiment can also be applied to other embodiments, and if applied to the fourth embodiment, it is possible to create a graph that includes self-evaluation in the graph described in the above modified example. Furthermore, the behavior history display page 40 described in the second embodiment displays the daily overtime display bar graph 48 and the overtime comparison accumulation graph 49, but instead of displaying these, the various graphs shown in the modified example can be displayed.

REFERENCE SIGNS LIST 1 Management server 2, 2a, 2b User terminal 3 Network 10 Man-hour system 11 Management item storage means 12 Data aggregation means 13 Report display means 14 Message display means 15 Display means 16 Machine learning means
[First embodiment <Creating an input screen> [Figure 3]]
30 Input screen 31 Time input field 32 Work location selection field 33 Activity input field 34 Customer selection field 35 Other display field 36 Self-evaluation input field
[Second embodiment: <Creation of behavior history display page 40> [Figure 4]]
40 Action history display page 41 Location/time graph 41a Location/time bar graph 42 Activity/time graph 42a Activity/time rectangle graph 48 Daily excess time display bar graph 49 Excess time comparison accumulation graph
[Modification 1: <Another graph of the place-time graph 41> [Figure 5]]
41b Location-Time Pie Chart 41c Location-Time Rectangle Chart
[Modification 2: <Creating a location/day of the week graph 45> [Figure 6]]
45 Location/day graph 45a Location/day ratio graph 45b Location/day total time graph
[Modification 3: <Creating another graph from the activity-time graph 42> [Figure 7]]
42b Activity-Time Bar Chart 42c Activity-Time Pie Chart
[Modification Example 4: <Creating Activity/Day of Week Graph 47> [Figure 8]]
46 Activity/Day of the Week Graph 46a Activity/Day of the Week Percentage Graph 46b Activity/Day of the Week Total Time Graph
[Modification Example 5: <Creating Activity/Location Graph 47 1> [Figure 9]]
47 Activity/Location Graph 47a Activity/Location Pie Chart 47a1 Activity/Location Pie Chart (by Work Location)
47a2 Activity/Location Pie Chart (by activity)
[Modification Example 6: <Creating Activity/Location Graph 47 2> [Figures 10 and 11]]
47b Activity/Location Bar Graph 47b1 Activity/Location Percentage Bar Graph (by Activity)
47b2 Activity/Location Total Time Bar Graph (by activity)
47b3 Activity/Location Percentage Bar Graph (by Work Location)
47b4 Activity/Location Total Time Bar Graph (by Work Location)
Third Embodiment: <Creating a behavior history display page showing information on multiple people> [FIG. 12]
50 Action history display page 51 Holiday work comparison graph 52 Overtime work comparison graph 53 Application speed comparison graph 54 People/location graph 54a People/location pie chart
[Fourth embodiment: <Creating a behavior history display page with self-evaluation> [FIG. 13]]
60 Action history display page (action history display page with self-evaluation)
61. Place and time bar graph with self-rating 62. Activity and time rectangle graph with self-rating 63. Daily self-rating bar graph 64. Self-rating and time bar graph
Fifth Embodiment: <Creating a behavior history display page showing comparison over time> [FIG. 14]
70 Action history display page 71 Activity comparison column 72 Location comparison column 73 Self-evaluation comparison column 74 Self-evaluation ratio pie chart

Claims (2)

a management item storage means for storing management items including individuals, work contents, work locations, and work times;
a data aggregation means for selecting a predetermined management item from the management items and aggregating the selected management item;
report display means for creating and displaying a predetermined chart from the management items collected by the data collection means;
a machine learning means; and the report display means creates both a diagram showing the relationship between work content and work location, and either a diagram showing the relationship between work content and time or a diagram showing the relationship between work location and time, which are compiled within a predetermined period, and displays these diagrams together;
The machine learning means performs machine learning using accumulated past data on management items including individuals, job content, work location, time, and self-evaluation as training data, and inputs new individual job content data, work location data, time data, and self-evaluation data into the resulting trained model, thereby outputting job content information, work location information, and time information for individuals who wish to obtain work style information. This is a man-hour system. a management item storage means for storing management items including individuals, work contents, work locations, and work times;
a data aggregation means for selecting a predetermined management item from the management items and aggregating the selected management item;
report display means for creating and displaying a predetermined chart from the management items collected by the data collection means;
machine learning means;
the report display means displays a diagram showing the relationships among all three management items, namely, work content, work location, and work time, which are compiled within a predetermined period;
The machine learning means performs machine learning using accumulated past data on management items including individuals, job content, work location, time, and self-evaluation as training data, and inputs new individual job content data, work location data, time data, and self-evaluation data into the resulting trained model, thereby outputting job content information, work location information, and time information for individuals who wish to obtain work style information. This is a man-hour system.