Logistics area management method, management system, and program

Abstract

To provide a method for managing a logistics area, a system for managing a logistics area, and a program which use a simulation to manage a logistics area having a work line formed of a plurality of work subjects and can easily point out where a work subject which is not working as simulated is in a work space and how the work subject deviates from the simulation.SOLUTION: In a management system 100, a display device 130 simulates, using a digital twin simulator 110, a work space for a plurality of work subjects to work and monitors the actual motions of each work body in the work space. After that, the display device displays each of the plurality of work subjects on a screen of a display terminal 150 (140) simulating the work space as a heat map of which a color is changed according to a degree of deviation between motions simulated using the digital twin simulator and the monitored actual motions.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present disclosure relates to a technique suitable for use in managing a logistics area having a work line made up of multiple work entities. [Background technology]

[0002] A logistics area has a work line that is made up of multiple work subjects such as robots and workers. Recently, the use of simulations for managing such logistics areas has been considered. For example, Patent Document 1 discloses a technology that compares the results of simulations such as lead time with actual data from an actual line and displays the comparison results.

[0003] However, when the conventional technology described in Patent Document 1 is used for managing a logistics area, there is room for improvement in the method of displaying the comparison results between the simulation results and actual data. In managing a logistics area, it is desirable to be able to easily grasp where in the work space the workers who are not moving according to the simulation are located and how much they deviate from the simulation.

[0004] In addition to Patent Document 1, Patent Documents 2, 3, 4, and 5 can be cited as documents showing the state of the art in the technical field related to the present disclosure. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] JP 2007-041950 A [Patent Document 2] JP 2020-113123 A [Patent Document 3] JP 2004-196553 A [Patent Document 4] JP 2020-157442 A [Patent Document 5] JP 2005-056087 A Summary of the Invention [Problem to be solved by the invention]

[0006] The present disclosure has been made in consideration of the above-mentioned problems, and aims to provide a technology that uses a simulation to manage a logistics area having a work line made up of multiple workers, and makes it possible to easily grasp where in the work space a worker who is not moving according to the simulation is located and how much the worker deviates from the simulation. [Means for solving the problem]

[0007] The present disclosure provides a logistics area management method and a logistics area management system as a logistics area management technique for achieving the above object.

[0008] The method for managing a logistics area disclosed herein is a method for managing a logistics area having a work line composed of multiple work entities. The method for managing a logistics area disclosed herein includes simulating a work space in which the multiple work entities work using a digital twin, and monitoring the actual movements of each of the multiple work entities in the work space. Furthermore, the method for managing a logistics area disclosed herein includes displaying each of the multiple work entities on a screen simulating the work space using a heat map in which the color changes depending on the magnitude of deviation between the movement simulated using the digital twin and the actual movement monitored.

[0009] The logistics area management system of the present disclosure is a management system for a logistics area having a work line composed of multiple work entities. The logistics area management system of the present disclosure includes a digital twin simulator, a monitoring device, and a display device. The digital twin simulator is configured to simulate a work space in which multiple work entities work. The monitoring device is configured to monitor the actual movements of each of the multiple work entities in the work space. The display device is configured to display each of the multiple work entities on a screen simulating the work space as a heat map in which the color changes depending on the magnitude of deviation between the movement simulated by the digital twin simulator and the actual movement monitored by the monitoring device.

[0010] According to the logistics area management technology disclosed herein, the manager of the logistics area can easily grasp, by the color distribution of the heat map displayed on a screen simulating the workspace, where in the workspace any worker who is not moving according to the simulation is located and how much they have deviated from the simulation.

[0011] In the logistics area management technology of the present disclosure, the work speed of each of multiple workers may be measured, and the color of the heat map may be changed according to the difference between the work speed simulated using the digital twin and the measured actual work speed. This makes it easy to identify a worker who is experiencing delays in work. In addition, the presence of such a worker makes it possible to recognize the occurrence of some kind of abnormality in the work space.

[0012] In addition, in the logistics area management technology of the present disclosure, when multiple work entities include multiple logistics robots, the braking action of each of the multiple logistics robots may be detected, and the color of the heat map may be changed according to the difference in strength or frequency between the braking action simulated using the digital twin and the actual braking action detected. This makes it easy to identify a logistics robot that is slowing down or moving jerkily. Furthermore, the presence of such a logistics robot makes it possible to recognize the occurrence of some kind of abnormality in the work space.

[0013] Furthermore, in the logistics area management technology disclosed herein, the movement range of each of multiple workers may be measured, and the color of the heat map may be changed according to the difference between the movement range simulated using the digital twin and the measured actual movement range. This makes it easy to identify workers who are making unnecessary movements or unplanned movements. Furthermore, the presence of such workers makes it possible to recognize the occurrence of some kind of abnormality in the work space.

[0014] Furthermore, in the logistics area management technology of the present disclosure, the movement lines of each of multiple workers may be measured, and the color of the heat map may be changed depending on the degree of deviation between the movement lines simulated using the digital twin and the measured actual movement lines. This makes it easy to identify workers who are making wasteful or unplanned movements. Furthermore, the presence of such workers makes it possible to recognize the occurrence of some kind of abnormality in the work space.

[0015] The present disclosure also provides a program for achieving the above object. The program of the present disclosure is a program for making a computer manage a logistics area having a work line composed of multiple work subjects. The program of the present disclosure is configured to make a computer execute the following: acquiring simulation data obtained by simulating a work space in which multiple work subjects work using a digital twin; and acquiring monitoring data obtained by monitoring the actual movements of each of the multiple work subjects in the work space. Furthermore, the program of the present disclosure is configured to make a computer execute the following: generating display data for displaying each of the multiple work subjects on a screen simulating the work space in a heat map in which the color changes according to the magnitude of deviation between the movement simulated using the digital twin and the actual movement monitored by synchronizing and comparing the simulation data and the monitoring data. The program of the present disclosure may be provided by being recorded on a computer-readable recording medium. Effect of the Invention

[0016] As described above, according to the logistics area management technology disclosed herein, the logistics area manager can easily grasp, by the color distribution of the heat map displayed on a screen that mimics the workspace, where in the workspace any worker who is not moving according to the simulation is located, and how much they have deviated from the simulation. [Brief description of the drawings]

[0017] [Figure 1] 1 is a diagram illustrating a configuration of a logistics area management system according to an embodiment of the present disclosure. [Diagram 2] 2 is a diagram illustrating functions of a display device constituting the management system shown in FIG. 1. [Diagram 3] FIG. 11 is a diagram illustrating an example of a heat map displayed on a display terminal. [Figure 4] FIG. 11 is a diagram showing a first method for determining the display color of a heat map. [Diagram 5]FIG. 11 is a diagram illustrating a second method for determining the display color of a heat map. [Figure 6] FIG. 11 is a diagram showing a third method for determining the display color of a heat map. [Figure 7] FIG. 13 is a diagram showing a fourth method for determining the display color of a heat map. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0018] Hereinafter, an embodiment of a method and system for managing a logistics area and a program according to the present disclosure will be described with reference to the drawings. However, when the number, quantity, amount, range, etc. of each element is mentioned in the following embodiments, the idea of ​​the present disclosure is not limited to the mentioned number unless otherwise specified or clearly specified in principle. Furthermore, the structures, etc. described in the following embodiments are not necessarily essential to the idea of ​​the present disclosure unless otherwise specified or clearly specified in principle.

[0019] 1. Configuration of the logistics area management system 1 is a diagram showing the configuration of a logistics area management system according to an embodiment of the present disclosure. First, a logistics area that is a management target of the management system 100 will be described.

[0020] The logistics area managed by the management system 100 is a logistics area having a work line composed of multiple work entities. Examples of such logistics areas include relay stations for sorting packages (e.g., home delivery offices, collection points in large residential buildings, etc.), work sites for collecting and sorting garbage, and logistics areas in manufacturing plants where parts are received and products are shipped.

[0021] The logistics area 20 illustrated in FIG. 1 is a relay station for sorting luggage 2. The logistics area 20 is equipped with conveyors 10A-10B used to sort the luggage 2 brought in. The logistics area 20 is also equipped with luggage shelves 12A-12C for temporarily storing the sorted luggage 2. The main operators in the logistics area 20 are workers 4A-4D, transport robots 6A-6J, and picking robots 8A-8D. These operators form a work line that sorts and carries out the luggage 2 brought in to the logistics area 20.

[0022] Baggage 2 of various types and destinations flows on conveyors 10A-10B. Workers 4A-4D select and pick up the baggage 2 from above conveyors 10A-10B. The baggage 2 that each worker 4A-4D should pick up is determined in advance based on the type, destination, etc.

[0023] The transport robots 6A-6G are logistics robots that receive the luggage 2 selected and removed by the workers 4A-4D and transport them to the picking robots 8A-8D. The luggage 2 that each transport robot 6A-6G should receive is determined in advance based on the type, destination, etc. In addition, the destination of the luggage 2 of each transport robot 6A-6G is also determined in advance based on the type, destination, etc. of the luggage 2.

[0024] The picking robots 8A-8D are work robots that store the luggage 2 received from the transport robots 6A-6G in the luggage racks 12A-12C. The location where each picking robot 8A-8D should store the luggage 2 is determined in advance based on the type and destination of the luggage 2. The picking robots 8A-8D also select and remove the luggage 2 from the luggage racks 12A-12C. The luggage 2 that each picking robot 8A-8D should remove is determined in advance based on a carry-out schedule.

[0025] The transport robots 6H-6J receive the luggage 2 selected and removed by the picking robots 8A-8D, and transport them to the next relay station outside the logistics area 20. The luggage 2 that each transport robot 6H-6J should receive is determined in advance by the carry-out schedule. In addition, the destination of each transport robot 6A-6G's luggage 2 is also determined in advance by the carry-out schedule.

[0026] The management system 100 includes a digital twin simulator 110, a monitoring device 120, and a display device 130. The digital twin simulator 110, the monitoring device 120, and the display device 130 constituting the management system 100 cooperate to execute a logistics area management method according to an embodiment of the present disclosure.

[0027] Each of the digital twin simulator 110, the monitoring device 120, and the display device 130 may be an independent computer, or may be a virtual computer created within one computer. The management system 100 may be installed at the site of the logistics area 20, or may be installed on the cloud. Also, when each of the digital twin simulator 110, the monitoring device 120, and the display device 130 is an independent computer, some of the computers may be installed at the site of the logistics area 20, and the remaining computers may be installed on the cloud.

[0028] The digital twin simulator 110 is a computer that realizes a digital twin of the logistics area 20 by simulation. A virtual workspace 112 that simulates a workspace (hereinafter referred to as a real workspace) 22 in which a worker works in the logistics area 20 is constructed on the virtual space of the digital twin simulator 110. The digital twin simulator 110 is configured to simulate the movement of each worker in the virtual workspace 112 in real time. Information on the working conditions of the actual logistics area 20, such as the amount of cargo, the destination of the cargo (variation), the number of workers, and the number of waiting robots, is input to the digital twin simulator 110. In the example shown in FIG. 1, all of the workers 4A-4D, the transport robots 6A-6J, and the picking robots 8A-8D are defined in the virtual workspace 112. The digital twin simulator 110 transmits real-time simulation data generated by the simulation to the display device 130.

[0029] The monitoring device 120 is a computer that monitors the work line in the logistics area 20. The monitoring device 120 is configured to monitor the actual movements of the workers 4A-4D, the transport robots 6A-6J, and the picking robots 8A-8D in the actual work space 22 of the logistics area 20. Various means including sensors are used to monitor the movements of these workers. For example, optical monitoring means such as visible light cameras and infrared cameras are installed in various places in the actual work space 22. In addition, wireless tags (BLE, RFID, etc.) that are electromagnetic monitoring means are attached to the luggage 2. In addition, a millimeter wave radar for detecting living bodies is installed near the work space of the workers 4A-4D. Furthermore, the transport robots 6A-6J and the picking robots 8A-8D are provided with self-location identification means that measure and notify the position of the workers themselves. Methods for identifying the self-location include SLAM (Simultaneous Localization and Mapping) using LiDAR, designation from surrounding feature points using a camera, integration and instantaneous movement speed estimation using wheel encoders, etc. The monitoring device 120 collects data in real time from the logistics area 20, generates monitoring data, and transmits the monitoring data to the display device 130.

[0030] The display device 130 is a computer that generates display data to be displayed for the managers 32 and 34 of the logistics area 20. The display device 130 generates display data using the simulation data received from the digital twin simulator 110 and the monitoring data received from the monitoring device 120. The display data is displayed on the display terminals 140 and 150. The display terminal 140 is a mobile terminal such as a smartphone, and the display terminal 150 is a desktop PC with a display. The display device 130 is connected to the display terminals 140 and 150 via a communication network. Conceptually, the display terminals 140 and 150 can also be considered as part of the display device 130. The manager 32 who owns the display terminal 140 can perform management tasks while looking at the display terminal 140 at the site of the logistics area 20. The manager 34 who sits in front of the display terminal 150 can perform management tasks while looking at the display terminal 150 at a location away from the logistics area 20.

[0031] 2. Display device functions Next, the functions of the display device 130 will be described. Fig. 2 is a diagram showing the functions of the display device 130. The display device 130 includes a simulation data receiving unit 132, a monitoring data receiving unit 134, a comparison unit 136, and a heat map data generating unit 138. These elements constituting the display device 130 are functions of the display device 130 that are realized when a program stored in the memory of the display device 130 is executed by the processor of the display device 130.

[0032] The simulation data receiving unit 132 receives simulation data 202 generated in a simulation from the digital twin simulator 110. The monitoring data receiving unit 134 receives monitoring data 204 obtained from the logistics area 20 in real time from the monitoring device 120.

[0033] The comparison unit 136 acquires the simulation data 202 from the simulation data receiving unit 132, and acquires the monitoring data 204 from the monitoring data receiving unit 134. The comparison unit 136 synchronizes the simulation data 202 and the monitoring data 204 with each other and compares them. More specifically, the comparison unit 136 compares the movement simulated by the digital twin simulator 110 with the actual movement monitored by the monitoring device 120 for each of the work subjects in the logistics area 20, and calculates the magnitude of deviation between the two. The comparison result by the comparison unit 136, that is, information regarding the magnitude of deviation between the simulated movement and the actual movement for each work subject, is transmitted from the comparison unit 136 to the heat map data generation unit 138.

[0034] The heat map data generating unit 138 generates heat map data 206 based on the comparison result obtained from the comparing unit 136. The heat map data 206 is data for displaying each work subject in a heat map with a different color for each work subject on a screen simulating the work space 22 of the logistics area 20. The heat map data generating unit 138 determines the color of the work subject to be displayed on the screen for each work subject according to the magnitude of deviation between the simulated movement, which is the comparison result, and the actual movement. The relationship between the magnitude of deviation and the display color of the heat map is defined in advance. The display device 130 transmits the heat map data 206 to the display terminals 140, 150 as display data.

[0035] FIG. 3 is a diagram showing an example of a heat map displayed on the display terminal 150. The display terminal 150 displays a screen 152 simulating the work space 22 of the logistics area 20. The screen 152 displays the workers 4A-4D, the transport robots 6A-6J, and the picking robots 8A-8D, which are the work subjects, in a heat map. The display color of each work subject is determined by the magnitude of the deviation between the simulated movement and the actual movement. In the example shown in FIG. 3, the greater the deviation of each work subject, the darker the color displayed. The display color may be changed continuously according to the magnitude of the deviation, or may be changed stepwise as in the example shown in FIG. 3. When the heat map is displayed in color, the deviation may be displayed in red if the deviation is large, in green if the deviation is small, and in yellow if the deviation is intermediate. A screen similar to the screen 152 of the display terminal 150 is also displayed on the display terminal 140.

[0036] The managers 32, 34 can check the color distribution of the heat map on the screen displayed on the display terminal 140, 150. The color distribution of the heat map changes depending on the work status of each worker working in the work space 22. From the color distribution of the heat map displayed on the screen, the managers 32, 34 can easily grasp where in the work space 22 the worker who is not moving according to the simulation is located and how much they deviate from the simulation.

[0037] In the next chapter, we will explain in detail how the display colors of the heat map are determined, in particular, the "deviation between simulated movement and actual movement" that determines the display color, with concrete examples.

[0038] 3. How heatmap colors are determined 3-1. Method 1 In the first method, the working speed of each of all work subjects working in the workspace 22 is measured by the monitoring device 120. The comparison unit 136 of the display device 130 calculates the difference between the working speed simulated by the digital twin simulator 110 and the actual working speed measured by the monitoring device 120. The heat map data generation unit 138 of the display device 130 changes the color of the heat map according to the difference in the working speeds.

[0039] In Fig. 4, the standard time and actual time of work process X are shown for each state AD of a certain work subject. The standard time is the time per cycle of work process X obtained by simulation using the digital twin simulator 110. The actual time is the time actually required for one cycle of work process X measured by the monitoring device 120. The difference between the standard time and the actual time indicates the difference between the simulated work speed and the actual work speed. In the example shown in Fig. 4, the difference in work speed increases in the order of state A, state B, state C, and state D, and the display color of the heat map is changed accordingly.

[0040] According to the first method, a worker who is behind in his / her work can be easily identified. Also, from the presence of such a worker, the occurrence of some kind of abnormality in the work space 22 can be recognized.

[0041] 3-2. Second method In the second method, the braking operation of each of the transport robots 6A-6J working in the workspace 22 is detected by the monitoring device 120. The comparison unit 136 of the display device 130 calculates the difference in strength or frequency between the braking operation simulated by the digital twin simulator 110 and the actual braking operation detected by the monitoring device 120. The heat map data generation unit 138 of the display device 130 changes the color of the heat map according to the difference in braking strength or frequency.

[0042] 5 shows a time chart of the braking operation of a certain transport robot 6 in states AD. The vertical axis of each time chart indicates the strength of the brake. In state A, the braking operation 60 by simulation and the actual braking operation 62 are almost the same. For this reason, the display color of the heat map is the lightest color.

[0043] In state B, the actual braking action 62 is stronger than the simulated braking action 60. Therefore, the heat map is displayed in a darker color in state B than in state A.

[0044] In state C, the braking time per braking is longer than in state B. In other words, stronger braking is applied in state C than in state B. For this reason, the heat map display color is darker in state C than in state B.

[0045] In state D, the number of brake applications is increased by one compared to state C. For this reason, the heat map display color is darker for state D than for state C. In other words, in the example shown in FIG. 5, the difference in braking strength or number of brake applications increases in the order of state A, state B, state C, and state D, and the heat map display color is changed accordingly.

[0046] According to the second method, a transport robot that is slowing down or moving jerkily can be easily identified. Also, from the presence of such a transport robot, the occurrence of some abnormality in the working space 22 can be recognized.

[0047] 3-3.The third method In the third method, the motion ranges of all work subjects working in the workspace 22 are measured by the monitoring device 120. The comparison unit 136 of the display device 130 calculates the difference between the motion ranges simulated by the digital twin simulator 110 and the actual motion ranges measured by the monitoring device 120. The heat map data generation unit 138 of the display device 130 changes the color of the heat map according to the difference in the motion ranges.

[0048] 6 shows a schematic diagram of the movement range of a certain worker 4 in states AD. The movement range of the worker 4 is affected by the standby position of the transport robot 6 that delivers the luggage 2. In state A, the transport robot 6 is waiting in the normal standby position. Therefore, in state A, the movement range 70 of the worker 4 in the simulation approximately matches the movement range 72 of the actual worker 4. For this reason, the display color of the heat map is the lightest color.

[0049] In state B, the transport robot 6 is waiting at a position diagonally behind the worker 4, away from the normal waiting position. Therefore, in state B, the actual movement range 72 of the worker 4 is larger than the movement range 70 of the worker 4 in the simulation. Therefore, the display color of the heat map is darker in state B than in state A.

[0050] In state C, the transfer robot 6 waits at a position further behind the worker 4 than the waiting position in state B. Therefore, the actual movement range 72 of the worker 4 in state C is even larger than the movement range 72 of the worker 4 in state B. Therefore, the display color of the heat map is darker in state C than in state B.

[0051] In state D, the transport robot 6 waits at a position further behind the worker 4 than the waiting position in state C. Therefore, the actual movement range 72 of the worker 4 in state D is even larger than the movement range 72 of the worker 4 in state C. Therefore, the display color of the heat map is darker in state D than in state C. That is, in the example shown in FIG. 6, the difference in movement range increases in the order of state A, state B, state C, and state D, and the display color of the heat map is changed accordingly.

[0052] According to the third method, it is possible to easily identify a worker who is making a useless movement or an unplanned movement. Also, from the presence of such a worker, it is possible to recognize the occurrence of some abnormality in the work space 22.

[0053] 3-4. The fourth method In the fourth method, the movement lines of all work subjects working in the workspace 22 are measured by the monitoring device 120. The comparison unit 136 of the display device 130 calculates the degree of deviation between the movement lines simulated by the digital twin simulator 110 and the actual movement lines measured by the monitoring device 120. The heat map data generation unit 138 of the display device 130 changes the color of the heat map depending on the degree of deviation of the movement lines.

[0054] 7 shows a schematic diagram of the movement line of a certain transport robot 6 in states AD. In state A, the movement line 80 of the transport robot 6 in the simulation is approximately the same as the movement line 82 of the actual transport robot 6. For this reason, the display color of the heat map is the lightest color.

[0055] In state B, a deviation occurs between a movement line 80 of the transfer robot 6 in the simulation and a movement line 82 of the actual transfer robot 6. Therefore, the display color of state B in the heat map is darker than that of state A.

[0056] In state C, the deviation between the simulated movement line 80 of the transfer robot 6 and the actual movement line 82 of the transfer robot 6 is greater than the deviation in state B. Therefore, the display color of the heat map is darker in state C than in state B.

[0057] In state D, the deviation between the simulated movement line 80 of the transfer robot 6 and the actual movement line 82 of the transfer robot 6 is even greater than the deviation in state C. Therefore, the display color of the heat map is darker in state D than in state C. In other words, in the example shown in Fig. 7, the degree of deviation of the movement lines increases in the order of state A, state B, state C, and state D, and the display color of the heat map is changed accordingly.

[0058] According to the fourth method, it is possible to easily identify a worker who is making a useless movement or an unplanned movement. Also, from the presence of such a worker, it is possible to recognize the occurrence of some kind of abnormality in the work space 22. [Explanation of symbols]

[0059] 4, 4A-4D Worker (subject of work) 6,6A-6J Transport robot (main work) 8A-8D Picking robot (main task) 20 Logistics Area 22 Working Space 32,34 admin 100 Management Systems 110 Digital Twin Simulator 112 Virtual workspace 120 Monitoring equipment 130 Display device 132 Simulation data receiver 134 Monitoring data receiver 136 Comparison Section 138 Heat map data generator 140 Display terminal 150 Display terminal 152 screens 202 Simulation Data 204 Monitoring Data 206 Heatmap Data

Claims

1. A method for managing a logistics area having a work line made up of a plurality of work entities, comprising the steps of: A computer that manages the logistics area, Simulating a work space in which the plurality of work subjects work using a digital twin; monitoring actual movement of each of the plurality of work subjects in the workspace; Displaying each of the plurality of work subjects on a screen simulating the work space as a heat map in which the color changes according to the magnitude of deviation between the movement simulated using the digital twin and the actual movement monitored. A method for managing a logistics area.

2. 2. The method for managing a logistics area according to claim 1, The computer, Measuring the work speed of each of the plurality of work subjects; and changing the color of the heat map according to a difference between a simulated work speed and a measured actual work speed using the digital twin. A method for managing a logistics area.

3. 3. The method for managing a logistics area according to claim 1, The plurality of work entities include a plurality of logistics robots, The computer, Detecting a braking operation of each of the plurality of logistics robots; and varying the color of the heat map according to a difference in strength or frequency between the braking events simulated using the digital twin and the actual braking events detected. A method for managing a logistics area.

4. The method for managing a logistics area according to any one of claims 1 to 3, The computer, Measuring a range of motion of each of the plurality of workers; and varying the color of the heat map according to a difference between a simulated operating range and a measured actual operating range using the digital twin. A method for managing a logistics area.

5. The method for managing a logistics area according to any one of claims 1 to 4, The computer, Measuring the movement lines of each of the plurality of workers; and changing the color of the heat map according to the degree of deviation between the traffic line simulated using the digital twin and the actual traffic line measured. A method for managing a logistics area.

6. A management system for a logistics area having a work line composed of a plurality of work subjects, A digital twin simulator configured to simulate a work space in which the multiple work subjects work; a monitoring device configured to monitor actual movements of each of the plurality of work subjects in the workspace; A display device configured to display each of the plurality of work subjects on a screen simulating the work space as a heat map in which the color changes according to the magnitude of deviation between the movement simulated by the digital twin simulator and the actual movement monitored by the monitoring device. A logistics area management system characterized by the above.

7. 7. The logistics area management system according to claim 6, The monitoring device is configured to measure the work speed of each of the plurality of work subjects, The display device is configured to change the color of the heat map according to the difference between the work speed simulated by the digital twin simulator and the actual work speed measured, A logistics area management system characterized by the above.

8. In the logistics area management system according to claim 6 or 7, The plurality of work entities include a plurality of logistics robots, the monitoring device is configured to detect a braking operation of each of the plurality of logistics robots; The display device is configured to change the color of the heat map according to a difference in strength or frequency between the braking actions simulated by the digital twin simulator and the actual braking actions detected. A logistics area management system characterized by the above.

9. The logistics area management system according to any one of claims 6 to 8, The monitoring device is configured to measure a range of motion of each of the plurality of work subjects; The display device is configured to change the color of the heat map according to a difference between the operating range simulated by the digital twin simulator and the actual operating range measured, A logistics area management system characterized by the above.

10. The logistics area management system according to any one of claims 6 to 9, The monitoring device is configured to measure the movement lines of each of the plurality of workers, The display device is configured to change the color of the heat map depending on the degree of deviation between the traffic line simulated by the digital twin simulator and the actual traffic line measured, A logistics area management system characterized by the above.

11. A program for causing a computer to manage a logistics area having a work line composed of a plurality of work entities, Acquiring simulation data obtained by simulating a work space in which the multiple work subjects work using a digital twin; Obtaining monitoring data obtained by monitoring actual movements of each of the plurality of work subjects in the work space; and generating display data for displaying each of the plurality of work subjects on a screen simulating the work space in a heat map in which colors are changed according to the magnitude of deviation between the movement simulated using the digital twin and the actual movement monitored by synchronizing and comparing the simulation data and the monitoring data. A program characterized by:

Images