Work performance analysis system and work performance analysis method

Abstract

To provide a work performance analysis system and a work performance analysis method, which enable detailed analysis of action histories of workers with less measurement items and lower measurement frequency.SOLUTION: A work performance analysis system disclosed herein comprises a work site database storing information indicative of whether each location is a work site or not and a work performance database storing information on locations stayed and time worked by workers in each hour, and is configured to estimate action histories of the workers using information in the work site database and work performance data base.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a work performance analysis system and a work performance analysis method for estimating the history and factors of a worker's actions. [Background technology]

[0002] Maintenance work on large-scale facilities and equipment, such as regular inspections of power plants, can take many man-hours. However, not all of these maintenance tasks have an accurate grasp of the man-hours required, and many of them have inefficient work plans. Therefore, if an efficient work plan can be created, the maintenance period for facilities and equipment can be shortened, and service outage periods can be reduced.

[0003] Maintenance work on large-scale facilities and equipment often involves manual labor, as many tasks are not automated. Therefore, understanding work hours means understanding the amount of time workers spend on tasks. In addition, to identify areas for improvement in work plans, it is necessary to understand the proportion of time spent on non-work activities such as meetings, travel, and waiting, as well as the causes of waiting, and analyze how to increase the time available for work.

[0004] For example, Patent Document 1 describes a work management system that uses information collected by IC tags for identifying work to clearly display work processes divided into multiple work steps, allowing managers and others to easily grasp waste and problems that occur at the work site.The method described in Patent Document 1 makes it easy to see the progress of work using a diagram, making it easy to check differences between plans and results, and whether there are any delays due to waiting for workers or machines. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Application Laid-Open No. 2010-40007 Summary of the Invention [Problem to be solved by the invention]

[0006] The method of Patent Document 1 analyzes data on actual work performance, and can therefore indicate that the start or end of work was delayed from the plan, but it cannot identify the cause of the work delay or provide a breakdown of the time spent on non-work activities. Furthermore, in highly automated manufacturing lines, the difference between the plan and the actual results can be identified by monitoring the operating status of the equipment and analyzing the monitoring results. However, in cases where the work is performed by workers, such as in periodic inspections at power plants, analysis must be based on the worker's behavioral history. In particular, in the case of workers, important analysis items include the time spent on non-work activities such as meetings, travel, and waiting, as well as the location of the worker within the facility.

[0007] In view of the above, an object of the present invention is to provide a work performance analysis system and a work performance analysis method that can analyze the behavioral history of a worker in detail using a small number of measurement items and measurement frequencies. [Means for solving the problem]

[0008] In view of the above, in the present invention, "a work location database that stores information indicating whether each location is a work location or not, and a work performance database that stores information on the location where a worker stays and the work execution time for each hour, and a system for calculating the time by using the information in the work location database and the work performance database" is provided. The two cases where the worker is in the designated work place and the two cases where the worker is not, and the two cases where the worker is working and the two cases where the worker is not working, are combined to form four cases, and the time required by the worker for each category is tallied. It is a work performance analysis system characterized by estimating the behavioral history of workers.

[0009] In addition, in the present invention, "a computer that uses a work place database that stores information indicating whether each place is a work place or not, and a work performance database that stores information on the worker's time spent at each place and the time spent performing work, uses the information in the work place database and the work performance database to calculate the time spent at each place. The two cases where the worker is in the designated work place and the two cases where the worker is not, and the two cases where the worker is working and the two cases where the worker is not working, are combined to form four cases, and the time required by the worker for each category is tallied. The method is a work performance analysis method characterized by estimating the behavioral history of a worker. [Effects of the Invention]

[0010] According to the present invention, the behavioral history of a worker can be analyzed in detail using a small number of measurement items and measurement frequencies. [Brief explanation of the drawings]

[0011] [Figure 1] FIG. 1 is a diagram showing an example of the configuration of a work performance analysis system according to a first embodiment of the present invention. [Figure 2] FIG. 10 is a diagram showing an example of worker location information D11 recorded in the work record database DB1. [Figure 3] FIG. 2 is a diagram showing an example of work time information D12 recorded in the work record database DB1. [Figure 4] FIG. 10 is a diagram showing an example of information recorded in a work location database DB2. [Figure 5] FIG. 10 is a diagram showing the processing flow of the accumulated data processing stage in the work performance analysis unit 13. [Figure 6a] FIG. 3 is a diagram showing the location information D11 in FIG. 2 in chronological order. [Figure 6b] A diagram showing location information D11 in chronological order, reflecting work location data D2. [Figure 6c] A graph showing only net working hours over time. [Figure 6d] A diagram showing examples of classification results in chronological order. [Figure 7] FIG. 2 is a diagram showing the processing flow of the work performance analysis stage in the work performance analysis unit 13. [Figure 8] FIG. 10 is a diagram showing an example of a classification pattern. [Figure 9] FIG. 10 is a diagram showing an example of a method for displaying the analysis results of the behavioral performance of a worker as a graph. [Figure 10] FIG. 1 is a diagram showing an example of the configuration of a work performance analysis system 1 according to a second embodiment of the present invention. [Figure 11] FIG. 10 is a diagram showing an example of information recorded in a non-work time database DB4. [Figure 12] FIG. 10 is a diagram showing an example of a flow for selecting candidate actions in a non-work place. [Figure 13] FIG. 10 is a diagram showing an example of a method for displaying a breakdown of non-work time as a graph. [Figure 14] FIG. 10 is a diagram showing an example of the configuration of a work performance analysis system 1 according to a third embodiment of the present invention. [Figure 15] FIG. 10 is a flowchart showing a series of analytical processing examples in the third embodiment. [Figure 16] FIG. 10 is a diagram showing an example of information recorded in a work start condition database DB5. [Figure 17] FIG. 10 is a diagram showing an example of a flow for selecting candidates for non-work activities at a work location. [Figure 18] FIG. 10 is a diagram showing an example of displaying a breakdown of non-work activities at a work site as a graph. [Figure 19] A graph showing the results reflecting all analytical methods. [Figure 20] FIG. 10 is a diagram showing an example of displaying detailed analysis results of behavioral performance as a timing chart. DETAILED DESCRIPTION OF THE INVENTION

[0012] The following describes embodiments of the present invention with reference to the drawings. Note that the embodiments described below do not limit the scope of the invention as claimed, and not all of the elements and combinations thereof described in the embodiments are necessarily essential to the solution of the invention. [Example]

[0013] A work performance analysis system and a work performance analysis method according to a first embodiment of the present invention will be described with reference to Fig. 1 to Fig. 9. Fig. 1 is a diagram showing an example of the configuration of the work performance analysis system according to the first embodiment of the present invention.

[0014] The work performance analysis system 1, which is configured using a computer, includes, as an example of the system configuration, an input unit 11, a work performance database DB1, a work location database DB2, a work performance analysis unit 13, a work performance analysis result database DB3, and a display unit 18.

[0015] FIG. 2 is a diagram showing an example of worker location information D11 recorded in the work performance database DB1. The worker location information D11 includes at least time information D11a and location (location) information D11b. The time information D11a indicates the time the worker was at a particular location, and preferably includes information on the time the worker entered the location (e.g., the worker's office) (8:50) and the time the worker left the location (9:15). The location information D11b indicates the locations where the worker stayed, such as the worker's office, supervisor's office, corridors (corridors 1 and 2), changing rooms, and workrooms (workrooms 1 and 2). The location resolution should be determined based on the required resolution for analysis. For example, for important buildings, it is desirable to record which room the worker was in, while for less important buildings, it is desirable to record only that the worker was in the building.

[0016] The worker location information D11 shown in Fig. 2 is acquired for each worker, and according to this, the movement history of a specific worker for each hour on a specific day is recorded and understood as location and time information. As a result, all workers are understood. However, the times here are understood as the times of entry and exit to the relevant location.

[0017] 3 is a diagram showing an example of work time information D12 recorded in the work record database DB1. The work time information D12 is information that records the work time of a worker, and includes at least time information D12a and information D12b indicating that work was in progress.

[0018] The information D12b indicating whether or not work was being performed may be a flag only, or may indicate the work time by associating the work name or work ID with the time. The time information D12a indicates the time when the worker was performing work, and preferably includes information on the time when the work (work 1) started (9:55) and the time when the work was completed (10:28).

[0019] Depending on the structure of the work record database DB1, the worker location information D11 in Fig. 2 and the work time information D12 in Fig. 3 may be a combined table rather than separate tables. Furthermore, these pieces of information may be in a format other than a table as long as they are in a format that allows reference to the location information D11 and the work time information D12.

[0020] The location information D11 and work time information D12 recorded in the work record database DB1 may record the work records of all workers involved in the work to be analyzed, or may record the work records of only specific workers, such as recording the work records of one person per work team. Furthermore, the activity records of not only workers but also supervisors and other non-workers may be recorded. For example, in the case of supervisors, their work includes witness inspections, and analysis of the supervisor's activity history may be useful for analyzing and improving work such as periodic inspections.

[0021] 4 is a diagram showing an example of information recorded in the work location database DB2. The work location database DB2 includes at least information D2a such as names and numbers that can identify locations as work location data D2, and information D2b that indicates whether each location is a work location.

[0022] It is desirable that the information D2 recorded in the work location database DB2 be information that covers all the locations (worker office, supervisor office, corridor, changing room, work room, etc.) recorded in the location information D11 shown in Figure 2.

[0023] Furthermore, information D2b describes whether the location is a work location or not, for example, by Yes or No. In the example of Fig. 4, rooms, conference rooms, break rooms, changing rooms, corridors, worker offices, supervisor offices, etc. are not considered to be work locations, and work rooms are defined as work locations.

[0024] Next, the processing of the work performance analysis unit 13 will be explained. Here, it is a two-stage process consisting of an accumulated data processing stage and a work performance analysis stage. Figure 5 is a diagram showing the processing flow of the work performance analysis unit 13, mainly the accumulated data processing stage.

[0025] In the accumulated data processing stage of the work performance analysis unit 13 shown in Fig. 5, first, in processing step S1, the location information D11 of the worker recorded in the work performance database DB1 is imported as chronological information. Fig. 6a is a diagram showing the location information D11 of Fig. 2 in chronological order. After clocking in, this worker performs his / her work by moving sequentially from the worker's office to the supervisor's office, workroom 1, and workroom 2.

[0026] Next, in processing step S2, work location information D2 recorded in work location database DB2 is imported as time-series information, and the work location data D2 is reflected in time-series location information D11 obtained in processing step S1. Figure 6b is a diagram showing the work location data D2 reflected in time-series location information D11. According to this, the worker's office and supervisor's office are not defined as work locations (hereinafter referred to as non-work locations), so they are shown in white in the illustration, while Workroom 1 and Workroom 2 are defined as work locations, so they are shown with a background color in the illustration, indicating that the work location data D2 has been reflected in the location information D11.

[0027] Furthermore, in processing step S3, the work time information D12 recorded in the work record database DB1 is imported as time-series information. Figure 6c is a diagram showing the work time information D12 of Figure 3 in chronological order. This worker performs work 1, work 2, work 3, and the witnessed inspection in that order.

[0028] Comparing time D11a in Figure 2 and time D12a in Figure 3 from the perspective of work, this worker entered workroom 1 at 9:53 and left at 10:30, but the actual work took place from 9:55 to 10:28, so the net working hours were calculated in processing step S3. In Figure 6c, only the net working hours are displayed chronologically.

[0029] As can be seen from Figure 6c, the net working hours are the time spent working on-site, while the other time is the time spent preparing for the on-site work, meetings, and travel. The present invention aims to analyze work performance including these time periods.

[0030] Processing step S4 in Figure 5 represents the work performance analysis stage, in which Figure 6b and Figure 6c are superimposed, and information on whether the worker was in a work area or a non-work area, and whether the worker was working or not, is superimposed to represent the behavior history in four categories. This processing is shown in detail in Figure 7. Note that the processing procedure in Figure 7 is an example, and the processing procedure in Figure 5 may be carried out in succession. There are various methods for realizing this, and one example is described here.

[0031] In the process of FIG. 7, first, in process step S11, a worker is identified, in process step S12, times are sequentially specified, and in process step S13, work time information D12 recorded in the work record database DB1 is referenced.

[0032] In processing step S14, it is determined whether the work time information D12 indicates that work is in progress (yes) or not (No), and in each case, in processing step S15, the worker location information D11 recorded in the work performance database DB1 and the work location information D2 recorded in the work location database DB2 are referenced.

[0033] If the determination in processing step S14 is that work is being performed (yes), the work location is confirmed in processing step S16, and if it is a work location (yes), this time is defined as category 4 in processing step S18, and similarly the work location is confirmed, and if it is not a work location (no), this time is defined as category 2 in processing step S19.

[0034] Furthermore, if the determination in processing step S14 is that the person is not working (No), the work location is confirmed in processing step S17, and if it is a work location (Yes), this time is defined as Category 3 in processing step S20. Similarly, the work location is confirmed, and if it is not a work location (No), this time is defined as Category 1 in processing step S21.

[0035] In process step S22, the time is changed and updated, and the process returns to process step S12 to confirm the actions for that day. Similarly, in process step S23, the worker is changed and updated, and the process returns to process step S11 to confirm the actions of all the target workers.

[0036] Figure 6d shows an example of the classification results. Each time period is classified into one of two categories.

[0037] As described above, in the analysis method according to the first embodiment of the present invention, the behavioral history of a worker is classified into four patterns depending on whether the worker was working or not and whether the worker's location was at the work site or not. Whether the worker was working at a certain time is confirmed by the work time information D12 in the work record database DB1. Whether the location where the worker was was at the work site is confirmed by using the location information D11 in the work record database DB1 and the work site database DB2.

[0038] Fig. 8 is a diagram showing classification patterns. For convenience, we will use "Class 1" to refer to a case where the worker is not working and is not at the work location, "Class 2" to refer to a case where the worker is working but not at the work location, "Class 3" to refer to a case where the worker is not working but at the work location, and "Class 4" to refer to a case where the worker is working and at the work location. The following describes what can be inferred by classifying the worker's behavior history into these four patterns.

[0039] Category 1 indicates that the worker was not working and was not at the work site, so it can be assumed that the worker was engaged in activities other than work, such as attending a meeting or traveling. Category 2 indicates that the worker was working outside the work site, so it can be inferred that the worker was likely performing unplanned work. For example, it is possible that the previous work team's work was prolonged and the work site was unavailable, forcing the worker to work outside the work site, or that emergency repairs were performed outside the work site to deal with a malfunction.

[0040] Category 2 is likely not a planned action, and therefore is an item for which work improvements should be made by analyzing what was being done later through interviews or other means. Category 3 is time when a worker is in the work area but not working, and it can be assumed that this is time when the worker is likely to have been forced to wait for some reason. For example, this could be when a worker is waiting because their next task cannot begin until another worker in another work area finishes their work, or when they are waiting because the supervisor for an on-site inspection has not yet arrived. Here, depending on the work definition, work preparation and cleanup could also fall into Category 3.

[0041] However, to fully obtain the effect of the classification according to this embodiment, it is desirable to take measures to prevent work preparation and tidying up from being classified as Category 3. Specifically, if the preparation and tidying up of a work are simple tasks, a series of actions including the preparation and tidying up should be defined as the work. Alternatively, if the preparation or tidying up is highly important and should be analyzed in detail, the preparation alone or the tidying up alone should be considered as a single task and managed using the work time information D12. By taking such measures, it can be estimated that Category 3 is a time when it is highly likely that the worker was kept waiting for some reason.

[0042] Category 4 is the time when the worker was working at the work location, and is the time when it is highly likely that the planned work was being performed. Furthermore, if there are multiple work locations, it may be determined whether the work location was a specified one. Furthermore, the level of detail of the analysis and the amount of data acquired vary depending on the definition of the work. For work that requires detailed analysis, the method of this embodiment allows for detailed analysis by dividing the work into multiple parts, treating each part as a separate work, and recording the information in the work performance database DB1. However, this increases the effort required to acquire data. On the other hand, for work groups that are not highly important to analyze, combining multiple work into a single work can reduce the amount of data acquired and the effort required for analysis.

[0043] As described above, by classifying the time according to whether the worker was working or not, and whether the worker's location was at the work site or not, it can be easily estimated that Category 1 is likely to be time spent on non-work activities such as meetings or travel, Category 2 is time spent on unplanned work, Category 3 is time spent waiting, and Category 4 is time spent on planned work. The classification results are stored in the work performance analysis result database DB3.

[0044] 9 is a diagram showing an example of a method for displaying the analysis results of the worker's behavioral performance as a graph. By visualizing the analysis results as a graph or the like on the display unit 18, it is possible to easily understand which classification took the longest time.

[0045] The analysis results may not be visualized as a pie chart as shown in Figure 9, but may be visualized in a way that includes time information, such as a Gantt chart, to show which category of actions were performed at each time point, or in a bar graph that makes it easy to understand the action results of each worker, or in a non-graphical display such as text.

[0046] Furthermore, by performing an analysis that adds information that associates characteristics such as job title and affiliated company with the work performance database DB1, it is possible to visualize classification by job title or affiliated company. Furthermore, for category 4, if the type of work is also clarified by the work time information D12, a graph showing the time required for each work may be displayed in addition to the notation shown in Figure 6.

[0047] Furthermore, since the main point of the present invention is to analyze behavioral performance, even if the display unit is not included in the work performance analysis system 1 and is visualized by another system based on the information output by the work performance analysis system 1, it is still within the scope of the present invention.

[0048] By performing the analysis shown in this example, it is possible to easily understand which category required the longest time, or which category had the largest difference from the planned time. Therefore, in the case of periodic inspections of power plants, for example, it is possible to obtain information for taking measures to secure work time by reducing the time required for activities other than work, improving work processes, and refining work plans.

[0049] Furthermore, recording all of a worker's actions may place a burden on the worker and the recorder, but the method shown in this embodiment limits the information required to analyze the worker's behavioral history, making it a highly practical method. [Example]

[0050] A second embodiment of the present invention will be described with reference to Figures 10 to 13. The second embodiment is the same as the first embodiment except for the points described below.

[0051] 10 shows an example of the configuration of a work performance analysis system 1 according to a second embodiment of the present invention. The work performance analysis system 1 of the second embodiment includes a non-work time database DB4 and a work performance detail analysis unit 16 in addition to the configuration of the first embodiment.

[0052] 11 is a diagram showing an example of non-working time information D4 recorded in the non-working time database DB4. The non-working time database DB4 is used to analyze the contents of categories 1 and 3 in the first embodiment in more detail. The non-working time database DB4 includes at least information D4a such as names and numbers that can identify locations (office, break room, changing room, corridor, workroom, etc.), and information D4b on actions that a worker is likely to be performing when he or she is in each location and not working (waiting in the office, meeting, taking a break, changing clothes, traveling, waiting at the site, etc.).

[0053] The information recorded in the non-working time database DB4 is preferably information that covers all the locations recorded in the location information D11 shown in Fig. 2. Here, if there are multiple workers and each worker behaves differently during non-working time at each location, the database may contain different information for each worker. Furthermore, in the present invention, the term "worker" may also refer to a person other than the worker involved in the work being analyzed, such as a supervisor D4c.

[0054] 12 is a diagram showing an example of a flow for selecting candidate activities in a non-work area. In the example shown, whether it is a break time is confirmed in processing step S31, and if the answer is Yes, it is defined as a break time in processing step S32, and if the answer is No, it is appropriately defined as an activity other than a break in processing step S33, for example, by referring to the non-work time database DB4.

[0055] In addition, if there are multiple candidates for activities during non-work time at a location defined as rest time, the non-work time database DB4 may have multiple candidates for one location, and may also have conditions for determining which of the multiple candidates is appropriate.

[0056] For example, the multiple candidates are when the worker is in the office but not working, and one candidate is waiting in the office and another is break time. The condition for determination is, for example, whether the time to be analyzed is during a break time, and if it is during a break time, the worker's behavior is likely to be a break, and if it is not during a break time, the worker's behavior is likely to be an behavior other than a break that is listed in the non-work time database DB4.

[0057] In FIG. 10, in the case of a case classified into category 1 and category 3 in the first embodiment, the work performance detail analysis unit 16 analyzes in more detail the time spent by a worker on non-work activities based on the location information D11 in the work performance database DB1 and the information in the non-work time database DB4, based on the location of the worker who is not working.

[0058] FIG. 13 is a diagram showing an example of a method for displaying a breakdown of non-work time as a graph. By using the non-work time database DB4, it is possible to estimate and visualize the behavior of workers during non-work time in more detail. This makes it easier to analyze which portion of the time required for non-work can be reduced in order to secure more working time. Furthermore, while FIG. 13 shows the results of analyzing all non-work time together, it is also possible to display the results of analyzing category 1 and category 3 separately from Example 1. [Example]

[0059] 14 to 20, a work performance analysis system according to a third embodiment of the present invention will be described. The third embodiment is the same as the first or second embodiment except for the points described below. In this embodiment, the worker who is the main subject of analysis is worker A, and the people who have an influence on the work of worker A are worker B and a supervisor.

[0060] 14 illustrates a configuration example of a work performance analysis system 11 according to Example 3. The work performance analysis system 1 of Example 3 includes a work start condition database DB5 in addition to the configuration of Example 2, and is used to analyze the contents of Classification 3 in Examples 1 and 2 in more detail.

[0061] Fig. 15 is a flowchart showing a series of analytical processing examples in Example 3. Of these, the processing up to processing steps S3 and S4 shown in the upper part is performed using the same concept as in Fig. 5, and here it is assumed that the work has already been divided into categories 1, 2, 3, and 4. Furthermore, it is assumed that categories 2 and 4 are already the subject of separate analysis as unplanned work or work time information, respectively.

[0062] Furthermore, category 1 is processed according to Example 2. For example, in processing step S41, information classified as category 1 is read from the non-work time database DB4, in processing step S42 the behavioral history during non-work time is estimated by the processing shown in FIG. 12, and in processing step S43 the information displayed in the graph of FIG. 13 is obtained as the detailed analysis result of category 1.

[0063] In the third embodiment, processing is performed according to the conditions described in the work start condition database DB5 for information in category 3. First, in processing step S51, information in category 3 is read from the work start condition database DB5.

[0064] 16 is a diagram showing an example of information recorded in the work start condition database DB5. The work start condition database DB5 includes at least information such as a name or number that can identify a work (work name D5a) and work start conditions for each work (D5b, D5c, D5d).

[0065] Work start conditions are the conditions that must be met for worker A to start the next task. For example, worker A must be present at the work site, worker A's previous task must be completed, worker B's related task must be completed, or in the case of an on-site inspection, the supervisor must have arrived at the work site.

[0066] It is desirable that the work start conditions can be confirmed to be met based on the information recorded in the work performance database DB1. For example, the presence of worker A and supervisor at the work site can be confirmed from the location information D11, and the completion information of worker A's own work and the completion information of related work by worker B can be confirmed from the work time information D12.

[0067] In FIG. 15, for category 3, only information that matches the work start conditions is extracted and processed as determined in processing step S51, but the basic concept is the same as for category 1. For example, in processing step S41A, information that belongs to category 3 and matches the work start conditions is read from non-work time database DB4, in processing step S42A the behavioral history during non-work time is estimated by the processing of FIG. 17, and in processing step S43A the information displayed in the graph of FIG. 18 is obtained as the detailed analysis result of category 3.

[0068] Figure 17 is a diagram showing an example of a flow for selecting candidates for non-work activities at a work site. It shows the detailed processing content of processing step S42A in Figure 15. In this processing flow, processing steps S61, S62, and S63 individually confirm whether "work start conditions 1, 2, and 3 are met," and if they are not met, processing steps S62, S64, and S66 respectively determine "standby due to work start conditions 1, 2, and 3." In other words, it is determined whether the work start conditions stored in the work start condition database DB5 are met at a certain time for the work being analyzed.

[0069] If it is determined in processing step S67 that "even one of the work start conditions has not been met," it is understood that the worker was made to wait at the work location because the work start condition had not been met, and processing step S69 determines that the worker was "waiting due to work start condition." Note that in the determination in Figure 17, there may be one or more work start conditions that have not been met.

[0070] On the other hand, if all the work start conditions are met, it can be assumed that the behavior was recorded in the non-work location database DB4 based on the worker's location, and processing is performed to reference the non-work location database DB4 in processing step S68. Note that among the work start conditions, the worker's own presence at the work location and the worker's completion of the previous process are work start conditions but are not factors that cause the worker to wait. Therefore, among the work start conditions, conditions based on the worker's own behavior do not need to be considered factors that cause the worker to wait.

[0071] Figure 18 shows an example of a method for displaying a breakdown of non-work activities in a workplace as a graph. Since multiple work start conditions may not be met at the same time, the graph can be devised to show the wait time for each item when a single work start condition is met, and to aggregate the wait time for two or more work start conditions by the number of wait factors. Wait times due to a single work start condition can be eliminated by eliminating the corresponding factor, so the benefits obtained are significant relative to the cost of the countermeasure.

[0072] On the other hand, waiting due to multiple work start conditions requires addressing all of the causes of the wait, which means the wait time cannot be eliminated, and the cost of the measures is high. Note that the wait time not dependent on the work start conditions is when all of the work start conditions are met in the flowchart of Figure 17, and is calculated by classifying non-work activities according to the worker's location using the non-work location database DB4. This graph may be the result of an analysis of a single worker, or may be a combined display of the results of an analysis of multiple workers.

[0073] As described above, according to the method described in the third embodiment, by performing an analysis using the work start condition database DB5, it is possible to perform a detailed analysis of the breakdown of cases where a worker was engaged in activities other than work at the work site in the case of category 3. In addition, it is possible to visualize which waiting factors can be eliminated to have the greatest effect on improving work efficiency.

[0074] Figure 19 is a graph showing the results reflecting all the analysis methods described so far. In addition to the four classifications in Example 1, Classes 1 and 3 are analyzed in detail in Example 2, and Class 3 is analyzed in even more detail in Example 3. Class 4 is also clear from the work time information D12.

[0075] Although not mentioned in the examples of the present invention, Category 2 may also be analyzed in more detail by some method. For example, analysis may be performed based on the timing of when work was performed outside the work area. If the work in question is Work 4, if Work 4 was first performed outside the work area, it is highly likely that Work 4 was performed outside the designated work area because the work area was occupied by another worker. Furthermore, if Work 4 was performed in the designated work area and then resumed outside the designated work area, it is highly likely that Work 4 had a defect and the worker performed rework in an empty space.

[0076] Figure 20 shows an example of a method for displaying the results of a detailed analysis of action performance as a timing chart. Here, the analysis focuses on worker A, and the action histories of worker B and the on-site inspection supervisor are also displayed as people who may influence worker A's work. By displaying actions 34 along the time axis as in Figure 20, it is possible to clearly show the waiting time 36 that worker A had to wait due to work start conditions 35, such as the completion of work B1 by worker B or the arrival of the on-site inspection supervisor. In addition, because the duration of each action 34 is proportional to the time required for each action, it is also possible to grasp the actual man-hours required.

[0077] Although the first, second, and third embodiments of the present invention have been described above, the embodiments do not limit the scope of the invention, and not all of the elements and combinations described in the embodiments are necessarily essential to the solution of the invention. For example, the databases used in the present invention do not need to be independent databases. As long as they can provide the information described in the present invention, they may be combined with databases described in the present invention or with databases not described in the present invention. Furthermore, in some expressions in the present invention, the combination of work and non-work activities is referred to as "behavior," but the terms "work" and "behavior" may be interchangeable within the scope of interpretation. Furthermore, the scope of the present invention is not limited to maintenance work; worker behavior can be analyzed using the method described in the present invention in manufacturing, construction, and other industries.

[0078] Excluding the various databases that can be prepared beforehand or afterward, the only information required for the above analysis is the work performance database DB1, which stores information on the location of workers at each hour and the length of time they performed their work. Therefore, the number of measurement items and measurement frequency can be kept to a small number, making this a method that places less of a burden on workers and measurers. [Explanation of symbols]

[0079] 1. Work performance analysis system DB1: Work performance database DB2...Workplace database DB3: Work performance analysis results database DB4...Non-working time database DB5: Work start condition database 13...Work Performance Analysis Department 16...Detailed Work Performance Analysis Department 18...Display section D11…Location information D12...Work time information 31...Worker A 32...Worker B 33... Witness Inspection Supervisor 34…action 35...Work start conditions 36...Waiting time

Claims

1. A work performance analysis system comprising a work location database that stores information indicating whether each location is a work location, and a work performance database that stores information on the location of workers at each time and the amount of time they spend working, and using the information in the work location database and the work performance database, classifying the worker into four cases by combining two cases: when the worker is at a designated work location or not, and two cases: when the worker is working or not working, and tallying up the time taken by the worker for each category, and estimating the worker's behavioral history.

2. The work performance analysis system according to claim 1, This work performance analysis system has a non-working time database that records candidate actions for when a worker is not working at each location, and uses the non-working time database to perform detailed analysis of Category 1, where the worker is not at a designated work location but is working, and Category 3, where the worker is at a designated work location but is not working.

3. The work performance analysis system according to claim 2, A work performance analysis system, wherein the non-work time database is created for each of a plurality of workers.

4. The work performance analysis system according to claim 2, A work performance analysis system characterized in that the non-work time database can record a plurality of candidate actions for one worker at one location.

5. The work performance analysis system according to claim 4, A work performance analysis system characterized in that the non-work time database can record criteria for prioritizing the plurality of candidate actions listed in the non-work time database.

6. The work performance analysis system according to claim 2, A work performance analysis system characterized by having a work start condition database that records work start conditions, which are conditions under which a worker can start a specified task, and performing detailed analysis of category 3 by using the work start condition database to estimate the factors that caused a worker to wait.

7. The work performance analysis system according to claim 6, A work performance analysis system, wherein the work start conditions recorded in the work start condition database include completion of work by other workers.

8. The work performance analysis system according to claim 6, A work performance analysis system having a non-work time database that records possible actions that a worker might take when not working at each location, and when the reason the worker is not working is not due to the work start conditions, the system estimates the worker's actions using the non-work time database.

9. The work performance analysis system according to claim 6, A work performance analysis system that has the function of determining how many work start conditions have caused a worker to wait at any given time.

10. The work performance analysis system according to claim 1, A work performance analysis system comprising a display unit that displays the analysis results of a worker's behavior history.

11. The work performance analysis system according to claim 10, A work performance analysis system characterized in that the analysis results displayed on the display unit display the behavioral histories of multiple workers on a time axis.

12. A work performance analysis method characterized by using a computer that utilizes a work location database that stores information indicating whether each location is a work location, and a work performance database that stores information on the worker's hourly location and the amount of time the worker spends working, to classify the situation into four cases by combining two cases: when the worker is at or not at the designated work location, and two cases: when the worker is working or not at work, and to tally up the time taken by the worker for each category and to estimate the worker's behavioral history.

13. A work performance analysis method according to claim 12, comprising: The computer utilizes a non-working time database that records possible actions for when a worker is not working at each location, and uses the non-working time database to perform a detailed analysis of Category 1, where the worker is not at the designated work location but is working, and Category 3, where the worker is at the designated work location but is not working.

14. The work performance analysis method according to claim 13, The computer has a work start condition database that records work start conditions, which are conditions under which a worker starts a specified task, and performs the detailed analysis of Category 3 by using the work start condition database to estimate the factors that caused the worker to wait.

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