Work planning device

Abstract

To provide a work planning device that can optimize work efficiency throughout a work site.SOLUTION: A work planning device 1 includes: a rest time fatigue degree calculation unit 12 that calculates a fatigue degree of a worker during a rest time; a work team fatigue degree calculation unit 14 that calculates a work team fatigue degree for each work team by adding up the fatigue degree of all workers assigned to the work team; and a plan candidate design unit (15) that outputs, on the basis of the work team fatigue degrees calculated for each work team, as a plan candidate, a combination of workers constituting a work team and a rest location pattern that reduce the fatigue degree of the entire work site out of the work team fatigue degrees calculated by the work team fatigue degree calculation unit. The fatigue degree of all workers is a total fatigue degree obtained by adding up the fatigue degree of all workers during a rest time and the fatigue degree related to work processes of all workers.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to a work planning device. [Background technology]

[0002] A work planning device is known that compares a total fatigue level, which is the sum of a worker's travel fatigue level caused by travel to the work site and a worker's work fatigue level caused by the worker's work, with a limit fatigue level, which is the limit value of the worker's fatigue level, and adjusts the travel or work load so that the total fatigue level is less than or equal to the limit fatigue level (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] International Publication No. 2020 / 148876 Summary of the Invention [Problem to be solved by the invention]

[0004] However, when multiple workers work at the same work site, adjusting the workload of each individual worker may not always result in an appropriate work efficiency for the entire work site. The present disclosure has been made to solve such problems, and provides a work planning device that can optimize work efficiency across the entire work site. [Means for solving the problem]

[0005] The work planning device according to the present disclosure includes a break time fatigue level calculation unit that calculates the fatigue level of workers during their break times, a work team fatigue level calculation unit that calculates a work team fatigue level for each work team by adding up the fatigue levels of all workers assigned to that work team, and a plan candidate design unit that outputs, based on the work team fatigue levels calculated for each work team, combinations of workers constituting the work team and rest location patterns that will result in a lower fatigue level for the entire work site out of the work team fatigue levels calculated by the work team fatigue level calculation unit, as plan candidates, where the fatigue level of all workers is a total fatigue level obtained by adding up the fatigue levels of all employees during their break times and the fatigue levels of all employees related to the work processes.

[0006] With this configuration, it is possible to provide a work planning device that can optimize work efficiency throughout the entire work site.

[0007] In the above work planning device, the work team may be a plurality of work teams formed by changing one or more employees.

[0008] In addition, in the above work planning device, the rest area pattern may include at least one of the following: travel distance from the work site to the rest area; presence or absence of seats at the rest area; presence or absence of a smoking area at the rest area; presence or absence of fitness equipment at the rest area; presence or absence of sugar replenishment at the rest area; and presence or absence of salt replenishment at the rest area. [Effects of the Invention]

[0009] The present disclosure makes it possible to provide a work planning device that can optimize work efficiency across the entire work site. [Brief explanation of the drawings]

[0010] [Figure 1] 1 is a configuration diagram of a work planning device 1 according to an embodiment. [Figure 2](a) An example of rest location pattern information 21, (b) an example of personal information 22, (c) an example of behavior prediction information 23, (d) an example of fatigue level information during rest time 24, and (e) an example of work site information 25. [Figure 3] 10 is a flowchart of an example of the operation of the work planning device 1. DETAILED DESCRIPTION OF THE INVENTION

[0011] Hereinafter, a work planning device 1 according to an embodiment will be described with reference to the accompanying drawings. Corresponding components in each drawing are given the same reference numerals, and duplicated explanations will be omitted.

[0012] FIG. 1 is a configuration diagram of a work planning apparatus 1 according to an embodiment.

[0013] The work planning device 1 is an information processing device such as a personal computer. As shown in Fig. 1, the work planning device 1 includes a processor 10 (e.g., a CPU), a memory 20 (e.g., a RAM), an auxiliary storage device 30 (e.g., a ROM, an SSD, or a hard disk drive), etc. The auxiliary storage device 30 may be built into the work planning device 1 or may be provided externally to the work planning device 1.

[0014] Figure 2(a) is an example of rest location pattern information 21, Figure 2(b) is an example of personal information 22, Figure 2(c) is an example of behavior prediction information 23, Figure 2(d) is an example of fatigue level information during rest time 24, and Figure 2(e) is an example of work site information 25.

[0015] The memory 20 stores rest place pattern information 21 (see Figure 2(a)), personal information 22 (see Figure 2(b)), behavior prediction information 23 (see Figure 2(c)), fatigue level information during rest periods 24 (see Figure 2(d)), and work site information 25 (see Figure 2(e)).

[0016] The rest area pattern information includes, as items, a pattern, a distance traveled to the rest area, a seat, a smoking area, health equipment, sugar replenishment, salt replenishment, a fatigue coefficient, and a cost. The rest area pattern information 21 is, for example, registered in advance by an operator.

[0017] Identification information for rest area patterns is registered in the patterns. A-1, A-2...B-1, B-2...C-1, C-2... are examples of identification information for rest area patterns. "A-1, A-2..." indicates that the pattern in question is a pattern at work site A. Similarly, "B-1, B-2..." indicates that the pattern in question is a pattern at work site B. Similarly, "C-1, C-2..." indicates that the pattern in question is a pattern at work site C.

[0018] The distance traveled to the rest area is registered as the distance traveled from the work site to the rest area. The seating area is registered as whether or not there is a seat at the rest area. The smoking area is registered as whether or not there is a smoking area at the rest area. The fitness equipment area is registered as whether or not there is fitness equipment at the rest area. The sugar replenishment area is registered as whether or not there is sugar replenishment at the rest area. The salt replenishment area is registered as whether or not there is salt replenishment at the rest area. The fatigue coefficient area is registered as a fatigue coefficient to be multiplied by the fatigue degree at the rest area, which is calculated as described below. The cost area is registered as the cost required to prepare the rest area.

[0019] The personal information 22 includes items such as worker ID, hobbies, smoking / non-smoking, smoking frequency, physical fitness level, disease site, blood glucose level, and past break log. The personal information 22 is registered in advance by the operator, for example.

[0020] The worker ID is registered with identification information that identifies the worker. The hobbies of the worker are registered with the smoker / non-smoker, which is registered with whether the worker smokes (smoking or non-smoking). The smoking frequency is registered with the smoking frequency of the worker if the worker smokes. The physical fitness level is registered with the physical fitness level of the worker (e.g., low, medium, high). The affected area is registered with the affected area of ​​the worker (e.g., foot) or no illness. The blood glucose level is registered with whether the blood glucose level of the worker is normal or abnormal. The past break log is registered with the location where the worker takes a break (rest area or work site).

[0021] The behavior prediction information 23 includes items such as worker ID, location, status, and behavior. The behavior prediction information is information predicted based on the worker's past behavior history (statistical data). The behavior prediction information 23 is registered in advance by, for example, an operator.

[0022] The worker ID is registered with identification information that identifies the worker. The location where the worker takes a break (rest area or work site) is registered with location. The worker's posture during break time (standing or sitting) is registered with status. The worker's behavior during break time (smoking or not smoking) is registered with behavior.

[0023] The rest time fatigue level information 24 includes items such as the worker ID and the fatigue level of each pattern. The rest time fatigue level information 24 is calculated and registered by the rest time fatigue level calculation unit 12.

[0024] The worker ID is registered with identification information that identifies the worker. The fatigue level of each pattern is registered with the worker's fatigue level (low, medium, high) during break time. A "low" fatigue level for each pattern corresponds to, for example, 20 on a scale of 0 to 100. Similarly, a "medium" fatigue level for each pattern corresponds to, for example, 50 on a scale of 0 to 100. Similarly, a "high" fatigue level for each pattern corresponds to, for example, 90 on a scale of 0 to 100. In this way, a numerical value corresponding to low, medium, or high may be registered with the fatigue level of each pattern.

[0025] The work site information 25 includes items such as the work site, distance to the rest area, workload, and number of workers. The work site information is registered in advance by, for example, an operator.

[0026] Identification information that identifies the work site is registered in the work site. The distance to the rest area is registered as the distance from the work site to the rest area (travel distance). The workload is registered as the workload at the work site. The workload is used when calculating the fatigue level related to the work process (for example, the fatigue level during working hours other than the fatigue level during break times). The number of workers is registered as the number of workers assigned to the work site.

[0027] The processor 10 executes a predetermined program (not shown) loaded from the auxiliary storage device 30 into the memory 20, thereby functioning as a break time behavior prediction unit 11, a break time fatigue level calculation unit 12, a filter unit 13, a work team fatigue level calculation unit 14, and a plan candidate design unit 15. Note that some or all of these may be realized by hardware.

[0028] The break time behavior prediction unit 11 predicts the behavior of the worker during the break time. For example, the break time behavior prediction unit 11 refers to personal information 22 as worker data, and acquires smoking information (smoking / non-smoking), smoking frequency, physical fitness level, and past break logs as worker data. Then, based on this acquired worker data (personal information 22), the break time behavior prediction unit 11 predicts the worker's behavior during the break time. This prediction result is registered as behavior prediction information 23. Note that the behavior prediction information 23 may be registered in advance by an operator, for example.

[0029] The break time fatigue level calculation unit 12 calculates the worker's fatigue level during the break time based on the behavior predicted by the break time behavior prediction unit 11. In calculating the worker's fatigue level during the break time, the break time fatigue level calculation unit 12 takes into consideration the worker's posture and its duration, as well as the travel distance from the work site to the break place and the break place pattern.

[0030] The worker's posture is taken into consideration as follows. For example, the break time fatigue level calculation unit 12 calculates the worker's fatigue level during the break time so that the worker who takes a rest in a standing position at the rest area will have a higher fatigue level. Conversely, the break time fatigue level calculation unit 12 calculates the worker's fatigue level during the break time so that the worker who takes a rest in a seated position at the rest area will have a lower or restored fatigue level.

[0031] On the other hand, the travel distance from the work site to the rest area is taken into consideration as follows: If the travel distance from the work site to the rest area is long, the rest time will be short. Therefore, when the travel distance from the work site to the rest area is long, the break time fatigue level calculation unit 12 calculates the worker's fatigue level during the break time so that the worker's fatigue level will be greater when the travel distance from the work site to the rest area is long compared to when the travel distance from the work site to the rest area is short.

[0032] The rest area pattern is also considered as follows: For example, if a rest area has a smoking space, the rest time fatigue level calculation unit 12 calculates the fatigue level of the worker during the rest time so that the fatigue level of the worker who smokes will be lower than when the rest area does not have a smoking space.

[0033] Similarly, when fitness equipment is available at the rest area, the rest time fatigue level calculation unit 12 calculates the worker's fatigue level during the rest time so that the worker's fatigue level will be lower compared to when fitness equipment is not available at the rest area. Similarly, when sugar replenishment is available at the rest area, the rest time fatigue level calculation unit 12 calculates the worker's fatigue level during the rest time so that the worker's fatigue level will be lower compared to when sugar replenishment is not available at the rest area. Similarly, when salt replenishment is available at the rest area, the rest time fatigue level calculation unit 12 calculates the worker's fatigue level during the rest time so that the worker's fatigue level will be lower compared to when salt replenishment is not available at the rest area.

[0034] The fatigue level of an employee during a break (and the fatigue level of an employee related to a work process) taking into account the worker's posture and the duration of that posture can be calculated using, for example, the method described in JP 2024-005973 A.

[0035] The filter unit 13 corrects the worker's fatigue level during break time. Specifically, the filter unit 13 adjusts the worker's fatigue level during break time depending on the worker's condition. For example, in the case of a worker who has an illness and cannot use fitness equipment, the filter unit 13 adjusts the worker's fatigue level during break time so that the worker's fatigue level does not decrease even if fitness equipment is available at the break area. Similarly, in the case of a worker who has an abnormal blood sugar level and cannot replenish sugar, the filter unit 13 adjusts the worker's fatigue level during break time so that the worker's fatigue level does not decrease even if sugar replenishment is available at the break area.

[0036] The work team fatigue level calculation unit 14 calculates the work team fatigue level for each work team (work site) by adding up the fatigue levels of all workers assigned to that work team (work site) (fatigue levels of all workers during break times and fatigue levels related to the work process of all workers). This work team fatigue level is close to the actual fatigue level because it is the sum of the fatigue levels of all workers during break times. The work team fatigue level is calculated for each break location pattern.

[0037] Based on the work team fatigue levels calculated for each work team by the work team fatigue level calculation unit 14, the plan candidate design unit 15 outputs, as a plan candidate, a combination of workers and a rest area pattern that will result in a lower fatigue level for the entire work site among the work team fatigue levels calculated by the work team fatigue level calculation unit 14. For example, the plan candidate design unit 15 outputs, as a plan candidate, "Work site A: worker ID 001..., work site B: worker ID 003..., work site C: worker ID 006..., rest area pattern A-1." Note that the plan candidate design unit 15 may output one or more plan candidates.

[0038] Next, an example of the operation of the work planning device 1 having the above configuration will be described.

[0039] FIG. 3 is a flowchart of an example of the operation of the work planning device 1.

[0040] The following processing is mainly realized by the processor 10 executing a predetermined program (not shown) that has been read from the auxiliary storage device 30 into the memory 20.

[0041] First, a resting place (initial value) is set (step S10). For example, with reference to the resting place pattern information 21 (see FIG. 2(a)), a resting place pattern A-1 is set as the resting place (initial value).

[0042] Next, data of the worker is acquired (step S11), and the behavior of the worker during the break is predicted (step S12). This is achieved by the break time behavior prediction unit 11. The break time behavior prediction unit 11 refers to personal information 22 as data of the worker, and acquires smoking information (smoking / non-smoking), smoking frequency, physical fitness level, and past break logs as data of the worker. Then, this acquired data of the worker (personal information 22) is used to predict the behavior of the worker during the break. Figure 2(c) is an example of predicted behavior during the break. Note that the behavior prediction information 23 may be registered in advance by the operator, for example.

[0043] Next, the fatigue level of the worker during the break is calculated (step S13). This is achieved by the break time fatigue level calculation unit 12. The break time fatigue level calculation unit 12 calculates the worker's fatigue level during the break by taking into consideration the worker's posture and its duration, as well as the travel distance from the work site to the break place and the break place pattern. Figure 2(d) is an example of the worker's fatigue level during the break. Here, the fatigue level calculated for the worker during the break in Figure 2(d) corresponds to the fatigue level of break place pattern A-1.

[0044] Next, the rest place pattern information 21 (see FIG. 2(a)) is referenced to determine whether or not there is a next rest place pattern (step S14). If there is a next rest place pattern (step S14: YES), the next rest place is set (step S15). Here, pattern A-2 is set as the next rest place.

[0045] Thereafter, the processes of steps S11 to S15 are repeated until there are no more rest place patterns, thereby calculating the fatigue level during the rest period for each worker and each rest place pattern, as shown in Fig. 2(d).

[0046] Then, if there is no next rest place pattern (step S14: NO), filter processing is executed (step S16). This is realized by the filter unit 13. The filter unit 13 adjusts the worker's fatigue level during the rest period according to the worker's condition. For example, in the case of a worker who has an illness and cannot use fitness equipment, the filter unit 13 adjusts the worker's fatigue level during the rest period so that the worker's fatigue level does not decrease even if fitness equipment is available at the rest period. Similarly, in the case of a worker whose blood sugar level is abnormal and who cannot replenish sugar, the filter unit 13 adjusts the worker's fatigue level during the rest period so that the worker's fatigue level does not decrease even if sugar replenishment is available at the rest period.

[0047] Next, the fatigue level of each work team is calculated (step S17). This is achieved by the work team fatigue level calculation unit 14. For each work team (work site), the work team fatigue level calculation unit 14 calculates the work team fatigue level by adding up the fatigue levels of all workers assigned to that work team (work site) (the fatigue levels of all employees during their break times and the fatigue levels of all employees related to the work process). This work team fatigue level is close to the actual fatigue level because it is the sum of the fatigue levels of all employees during their break times. The work team fatigue level is calculated for each break location pattern. In addition, the work team fatigue level calculation unit 14 calculates the work team fatigue level for each of multiple work teams (combinations of multiple employees) formed by changing (replacing) an employee (one or more employees).

[0048] Next, a plan candidate that reduces the fatigue level of the entire work site is output (step S18). This is achieved by the plan candidate design unit 15. Based on the work team fatigue level calculated for each work team in step S17, the plan candidate design unit 15 outputs, as a plan candidate, a work team (combination of employees) and a rest area pattern that reduces the fatigue level of the entire work site from among the work team fatigue levels (plural) calculated by the work team fatigue level calculation unit 14. For example, the plan candidate design unit 15 outputs, as a plan candidate, "Work site A: employee ID 001..., work site B: employee ID 003..., work site C: employee ID 006..., rest area pattern A-1." Note that the plan candidate design unit 15 may output one or more plan candidates. The rest area pattern output by the plan candidate design unit 15 may include at least one of the following: the travel distance from the work site to the rest area, the presence or absence of seats at the rest area, the presence or absence of a smoking space at the rest area, the presence or absence of fitness equipment at the rest area, the presence or absence of sugar supplements at the rest area, and the presence or absence of salt supplements at the rest area. The plan candidate may be a plan for installing a rest area or a plan for selecting equipment for the rest area.

[0049] As described above, according to this embodiment, work teams (combinations of employees) and rest area patterns are output as plan candidates based on the work team fatigue level calculated for each work team by the work team fatigue level calculation unit 14, so it is possible to provide a work planning device 1 that can optimize work efficiency throughout the entire work site.

[0050] Furthermore, according to this embodiment, by simulating recovery during breaks, it is possible to provide optimal rest locations. For example, a team with many smokers during breaks can improve fatigue recovery during breaks by setting up a work site close to a rest location or providing simple chairs, even if the workload is high.

[0051] In addition, since it is possible to calculate appropriate salt and sugar intakes for individuals based on medical data, it is also possible to provide appropriate food and drink supplies.

[0052] In addition, by processing data in a way that integrates it as a team, the anonymity of personal data can be increased, and privacy protection is also taken into consideration.

[0053] The plan candidate output by the plan candidate design unit 15 may be a plan for selecting fitness equipment for a body part with a high degree of fatigue, based on the above simulation.

[0054] In this way, the simulation shows that if the fatigue level of the legs is high, a foot reflexology massage device should be installed, and if the fatigue level of the lower back is high, a lower back massage device should be installed. By installing health equipment (massage equipment or acupuncture equipment) that is suitable for areas close to the upper limit of fatigue level, it is possible to improve the worker's recovery from fatigue.

[0055] Furthermore, the method for calculating fatigue levels that takes recovery into account (Patent Publication No. 2024-005973) has the problem that it does not reflect the behavior of individual workers during breaks, but this embodiment can solve this problem.

[0056] All the numerical values ​​shown in the above embodiment are merely examples, and it goes without saying that other appropriate numerical values ​​can be used.

[0057] The above-described embodiments are merely examples in all respects. The present invention should not be construed as being limited by the description of the above-described embodiments. The present invention can be implemented in various other forms without departing from the spirit or main characteristics thereof. [Explanation of symbols]

[0058] 1...work planning device, 10...processor, 11...rest time behavior prediction unit, 12...rest time fatigue level calculation unit, 13...filter unit, 14...work team fatigue level calculation unit, 15...plan candidate design unit, 20...memory, 21...rest location pattern information, 22...personal information, 23...behavior prediction information, 24...fatigue level information, 25...work site information, 30...auxiliary storage device, 1...work planning device, A, B, C...work site

Claims

1. a break time fatigue level calculation unit for calculating a fatigue level of a worker during a break time; a work team fatigue level calculation unit that calculates a work team fatigue level for each work team by adding up the fatigue levels of all workers assigned to that work team; a plan candidate design unit that outputs, as plan candidates, combinations of workers constituting work teams and rest area patterns that will reduce the fatigue level of the entire work site out of the work team fatigue levels calculated by the work team fatigue level calculation unit based on the work team fatigue levels calculated for each work team, The fatigue level of all the workers is a total fatigue level obtained by adding up the fatigue levels of all the workers during their break times and the fatigue levels of all the workers related to the work processes.

2. 2. The work planning device according to claim 1, wherein the work team is a plurality of work teams formed by changing one or more employees.

3. 3. The work planning device according to claim 1, wherein the rest area pattern includes at least one of the following: a travel distance from a work site to the rest area; presence or absence of seats at the rest area; presence or absence of a smoking area at the rest area; presence or absence of fitness equipment at the rest area; presence or absence of sugar supplements at the rest area; and presence or absence of salt supplements at the rest area.

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