Logistics base placement simulation system, logistics base placement simulation method, and computer program

Abstract

We provide a logistics hub placement simulation system that can dynamically and precisely simulate the placement of logistics hubs to minimize transport ton-kilometers. [Solution] The first simulation system 1A includes an acquisition unit 14 that acquires logistics base data and logistics shipment data, a first determination unit 15 that determines the simulation period, a second determination unit 16 that determines the movable distance from logistics bases to shipping destinations to be used in the simulation, a simulation unit 17 that simulates the base arrangement and number of bases that minimize the total transport ton-kilometers during the determined simulation period so as to stay within the determined movable distance, a placement unit 18 that places base icons on a geomap based on the simulated base arrangement and number of bases, and a drawing unit 19 that draws lines connecting the base icons placed on the geomap with the latitude and longitude of the shipping destination addresses on the geomap.

Description

[Technical Field]

[0001] The present invention relates to a technology for simulating the arrangement of logistics bases. [Background Art]

[0002] In recent years, amid the trend of work-style reforms including the so-called 2024 problem surrounding the logistics industry, human resources, as well as resources such as warehouses and vehicles that depend on human labor, have decreased significantly. To address this situation, technologies for optimizing the arrangement of logistics bases have been attracting attention.

[0003] As technologies of this type, for example, a technology for consolidating or reorganizing logistics bases at a timing that does not cause lost sales opportunities or excessive costs (see, for example, Patent Document 1), and another technology for selecting candidate sites for logistics bases based on the locations of a plurality of delivery destinations and the delivery volume for each delivery destination, and providing information for performing location evaluation on the candidate sites (see, for example, Patent Document 2) have already been proposed. [Prior Art Documents] [Patent Documents]

[0004] [Patent Document 1] Japanese National Publication of International Patent Application No. 2015-049731 [Patent Document 2] Japanese Unexamined Patent Application Publication No. 2001-202352 [Summary of the Invention] [Problem to be Solved by the Invention]

[0005] In such optimization of logistics base arrangement, performing trial and error by changing actual warehouse arrangement and vehicle flow lines has the problem of requiring enormous cost and time. Therefore, examination of optimal arrangement via computer simulation has become indispensable. Generally, for the arrangement of logistics bases, minimizing "transportation ton-kilometers (transportation tonnage × transportation distance)", which is an indicator of transportation efficiency, is considered optimal from the perspective of cost reduction and transportation efficiency improvement.

[0006] However, with the technologies described in Patent Documents 1 and 2 above, it was difficult to dynamically and precisely calculate the optimal placement of bases that would minimize the total transport ton-kilometers over a predetermined period, including seasonal fluctuations and changes in demand.

[0007] The present invention was made to solve the above problems and aims to provide a logistics hub placement simulation system, a logistics hub placement simulation method, and a computer program that can dynamically and precisely simulate the placement of logistics hubs so as to minimize transport ton-kilometers. [Means for solving the problem]

[0008] The first aspect of the present invention is, thing A logistics hub placement simulation system that simulates the arrangement of distribution hubs, A means of acquiring logistics base data and logistics shipment data related to logistics, In response to user input, A first decision means for determining the period to be used for the simulation, and In response to user input, A second determination means used in the simulation to determine the feasible travel distance from the logistics base to the shipping destination, Based on the logistics base data and logistics shipment data acquired by the acquisition means, the second determination means determines Within the aforementioned travel distance and, in the period determined by the first determination means Transport ton-kilometers Total The value becomes the smallest. As described above, the number of existing logistics bases included in the logistics base data determines the base distribution. simulation Determined by Simulation methods, Simulated the aforementioned base distribution Place Based on this, a means of placing base icons on a geomap, A drawing means for drawing lines connecting the location icons placed on the geomap with the latitude and longitude of the shipping destination addresses on the geomap, We provide a logistics hub placement simulation system that includes the following features.

[0009] A second aspect of the present invention is, thing A logistics site layout simulation system that simulates the layout of logistics sites, comprising: acquisition means for acquiring logistics site data and logistics shipment data relating to logistics; In response to user input, first determination means for determining a start date and an end date of a period to be used for simulation; In response to user input, third determination means for determining the number of logistics sites to be used for simulation; Based on the logistics base data and logistics shipment data acquired by the acquisition means, the third determination means determines said number of sites And, in the period determined by the first determination means transport ton-kilometers Total that minimizes like, simulates site layout Determined by simulation means; arrangement means for arranging site icons on a geomap based on said simulated site layout; drawing means for connecting said site icons arranged on said geomap and the latitude and longitude of a shipment address on said geomap with a line, and drawing the same on said geomap; there is provided a logistics site layout simulation system comprising the above.

[0010] The present invention belongs to the category of systems, but the same functions and effects can be achieved even when the present invention is implemented as a method or a program. Effects of the Invention

[0011] According to the present invention, the layout of logistics sites can be dynamically and accurately simulated such that transport ton-kilometers are minimized. Brief Description of the Drawings

[0012] [Figure 1] It is a diagram showing an overview of the logistics site layout simulation system according to the first embodiment. [Figure 2] It is a block diagram showing the functional configuration of the logistics site layout simulation system according to the first embodiment. [Figure 3]It is a flowchart showing simulation processing executed by a computer of the logistics base location simulation system according to the first embodiment. [Figure 4] It is a diagram showing an overview of the logistics base location simulation system according to the second embodiment. [Figure 5] It is a block diagram showing a functional configuration of the logistics base location simulation system according to the second embodiment. [Figure 6] It is a flowchart showing simulation processing executed by a computer of the logistics base location simulation system according to the second embodiment. MODE FOR CARRYING OUT THE INVENTION

[0013] Hereinafter, preferred embodiments of the present invention will be specifically described. The following embodiments are merely examples embodying the present invention, and the present invention is not limited thereto. As embodiments of the present invention, description will be given separately for the logistics base location simulation system of the first embodiment (hereinafter referred to as "first simulation system") and the logistics base location simulation system of the second embodiment (hereinafter referred to as "second simulation system"), with reference to the drawings.

[0014] [Overview of First Simulation System] As shown in Figure 1, the first simulation system 1A is a system that simulates the placement of logistics bases to minimize the total transport ton-kilometers, which are an indicator of transport efficiency, using logistics base data and logistics shipment data held by the logistics operator as actual data. The first simulation system 1A allows the user to determine the period used for the simulation (simulation period), including the start and end dates, and also allows the user to determine the travelable distance from the logistics base to the shipping destination used in the simulation. Based on the determined simulation period and travelable distance, the system simulates the placement of logistics bases to minimize the total transport ton-kilometers. As a result of the simulation, multiple base icons indicating the locations of logistics bases are generated, and a geomap showing the placement of these base icons and radial lines connecting the base icons to the shipping destination addresses on the geomap are displayed. In addition, a graph showing the transport ton-kilometers calculated for each logistics base is displayed as a result of the simulation. Such a first simulation system 1A is implemented by computer.

[0015] Here, the logistics hub data includes at least the basic information of the hub ID, hub name, address (latitude and longitude), and hub type (company warehouse, outsourced warehouse, cross-dock, etc.), as well as information on the capacity (capacity) and cost of each hub, and information on operational constraints. The logistics shipment data includes the source hub ID and destination address as source and destination information, as well as the quantity, transport ton-kilometers, and shipment date for each shipment. Transport ton-kilometers are an indicator of transport efficiency calculated by multiplying the transport weight (t) by the transport distance (km), and are calculated for each shipment, each month and day, and each hub, and are included in the logistics hub data and logistics shipment data. The geomap is a map image that visualizes data including geographic coordinates (latitude and longitude), and also includes metadata such as terrain data and land use data related to topography such as seas, lakes, rivers, mountains, steep slopes, elevation differences, and roads. The hub icons generated as a result of the simulation include geographic coordinates as metadata, and the hub icons are displayed at the location on the geomap corresponding to these geographic coordinates.

[0016] [Functional Configuration of the First Simulation System] As shown in Figure 2, the first simulation system 1A includes basic components such as a communication unit 10, an operation unit 11, a display unit 12, and a storage unit 13, as well as an acquisition unit 14, a first decision unit 15, a second decision unit 16, a simulation unit 17, a layout unit 18, and a drawing unit 19, which are components that enable the CPU and other components to function by having a computer execute a predetermined program.

[0017] The communication unit 10 consists of network devices and other components, and transmits and receives various types of information to and from external servers and other components via a network such as the Internet.

[0018] The control unit 11 consists of a keyboard, mouse, etc., and accepts commands in response to user input.

[0019] The display unit 12 consists of a display or the like, and displays a geomap as a simulation result, in which base icons and radial lines appear to overlap in layers, and displays a graph showing the transport ton-kilometers for each logistics base.

[0020] The memory unit 13 consists of a large-capacity storage device and stores programs and information necessary for basic arithmetic control information processing, as well as programs for the computer to execute the simulation processing described later, a database of logistics base data and logistics shipment data used in the simulation processing, and information such as a geomap. The computer of the first simulation system 1A executes each step of the simulation processing by reading the programs related to the simulation processing from the memory unit 13.

[0021] The acquisition unit 14 is composed of a CPU and other components, and in executing the simulation process, it acquires logistics base data and logistics shipment data from the database in the storage unit 13. The logistics base data and logistics shipment data may also be stored on an external server, in which case the acquisition unit 14 acquires the logistics base data and logistics shipment data from the external server via the communication unit 10.

[0022] The first decision unit 15, which consists of a CPU and the like, determines the period to be used for the simulation (simulation period) in response to arbitrary input from the user via the operation unit 11. The simulation period may be automatically set to a predetermined range based on the simulation time, for example.

[0023] The second decision unit 16, composed of a CPU and the like, determines the movable distance from the logistics base to the shipping destination, which is used in the simulation, in response to arbitrary user input from the operation unit 11. The movable distance is required due to lead time constraints such as "within a radius of XX km from the logistics base." Note that the movable distance may be automatically set to, for example, a pre-set standard distance.

[0024] The simulation unit 17, composed of a CPU and other components, determines the optimal location (latitude and longitude) and number of logistics bases based on the logistics base data and logistics shipment data acquired by the acquisition unit 14. This is done under the conditions that the total transport ton-kilometers are minimized, within the travelable distance determined by the second determination unit 16 and within the simulation period determined by the first determination unit 15. In this process, the simulation unit 17 can choose whether to (1) calculate from existing logistics bases, (2) calculate only from new logistics bases without including existing ones, or (3) include both existing and new logistics bases in the calculation, depending on the user's selection operation from the operation unit 11. In case (1), the simulation result is that only the location of existing logistics bases is changed, and the number of bases remains the same. In case (2), the simulation result is that the location and number of new logistics bases are determined regardless of the location and number of existing logistics bases. In case (3), the simulation result is that new bases are added to or reduced from the existing location and number of bases. Furthermore, the simulation unit 17 creates a graph showing the breakdown of the total transport ton-kilometers obtained from the simulation calculation results, for each determined logistics base location. In addition, the simulation unit 17 performs the simulation after selecting whether or not to exclude locations that are not generally suitable for logistics bases (non-location areas) from the simulation calculation, in response to arbitrary user specifications from the operation unit 11. Non-location areas are identified by using metadata such as terrain data and land use data included in the geomap. This series of processes by the simulation unit 17 can be executed again in response to user revision and modification operations using the operation unit 11. In user revision and modification operations, the base icons described later can be moved to the desired address location by clicking and dropping or dragging, and the simulation unit 17 associates the new base icons with the moved locations and performs the simulation again for other base locations and the number of bases.

[0025] The placement unit 18 places base icons on the geomap at the corresponding latitude and longitude locations based on the base placement (latitude and longitude) obtained as a result of the simulation by the simulation unit 17, overlaying them as layers.

[0026] The drawing unit 19 draws radial lines connecting the base icons placed on the geomap by the placement unit 18 and the shipping destination addresses (latitude and longitude) on the geomap as layers, generating a map image that shows the base icons and radial lines on the geomap. The generated map image is displayed on the display unit 12 as an image showing base icons and radial lines on a national map, for example (see Figure 1). Alternatively, the drawing unit 19 may generate a map image that shows transportation lines on the geomap, including not only straight lines but also curved lines and bends, along the roads actually used for transportation, based on the road information included in the geomap's metadata, and display the said map image. Whether to apply radial lines or transportation lines may be arbitrarily selected by the user through the operation unit 11.

[0027] The functional configuration of the first simulation system 1A described above is achieved by executing a predetermined program stored separately in the memory unit 13. However, instead, the same functional configuration may be achieved by, for example, using a SaaS (Software as a Service) mechanism to download the necessary programs from an external server as needed.

[0028] [Processing by the first simulation system] Next, the simulation process performed by the first simulation system 1A will be explained with reference to Figure 3.

[0029] As shown in Figure 3, when the simulation process is executed, the acquisition unit 14 first acquires logistics base data and logistics shipment data from the database of the storage unit 13 (S10).

[0030] Next, the first decision unit 15 determines the simulation period according to the user's specified input, etc. (S11).

[0031] Next, the second determination unit 16 determines the distance that can be moved according to the user's specified input, etc. (S12).

[0032] Next, the simulation unit 17, based on the logistics base data and logistics shipment data, simulates the placement (latitude and longitude) and number of logistics bases so that the total transport ton-kilometers are minimized, within the determined simulation period and travel distance (S13). At this time, the simulation unit 17 calculates the transport ton-kilometers for each logistics base placement and also creates a graph showing the transport ton-kilometers for each base placement based on the calculation results.

[0033] Next, the placement unit 18 places base icons on the geomap in a manner that corresponds to the placement of each logistics base obtained as a result of the simulation (S14).

[0034] Next, the drawing unit 19 draws radial lines on the geomap so as to connect the base icons with the shipping destination addresses included in the logistics shipping data (S15). The map image generated by placing the base icons on the geomap and drawing the radial lines in this way is displayed on the display unit 12. In addition, the display unit 12 also displays a graph showing the transport ton-kilometers for each base location, either overlaid on the map image or by switching the display screen (see Figure 1).

[0035] After the map image is displayed, when the desired base icon is moved, the simulation unit 17 returns to the S13 process, fixing the location (latitude and longitude) of the logistics base corresponding to the moved base icon, and then re-determining the location and number of other bases through simulation. Subsequently, the S14 and S15 processes are performed, causing other base icons to be rearranged on the geomap based on the simulation again, and radial lines to be redrawn, and the map image including these elements is re-displayed.

[0036] [Effects of the first simulation system] According to the first simulation system 1A described above, the following effects can be achieved.

[0037] According to the first simulation system 1A, using existing logistics hub data and logistics shipment data, it is possible to dynamically and precisely simulate the placement and number of logistics hubs so as to minimize the total transport ton-kilometers, based on an arbitrary simulation period and travelable distance, thereby determining the mathematically optimal placement and number of hubs.

[0038] For example, by setting the simulation period to match seasonal fluctuations (peak and off-peak seasons), it is possible to derive appropriate location and number of bases for specific periods, rather than using an average throughout the year, thereby obtaining simulation results that reflect reality.

[0039] Furthermore, according to the first simulation system 1A, it is possible to intuitively understand which logistics bases cover which areas (shipping destinations) from the base icons and radial lines displayed on the geomap, thereby realizing the visualization of the logistics structure.

[0040] Furthermore, the radial lines extending straight from the base icons help to visually evaluate the volume of logical logistics without being confused by the complex road network, and allow for a simplified display of simulation results.

[0041] Furthermore, for transportation lines that follow roads rather than straight lines, the simulation results can display the placement of bases based on actual travel routes that avoid terrain such as mountains, rivers, and the sea, making it possible to detect in advance whether the travel route is practically feasible and whether any detours are necessary.

[0042] Furthermore, graphs showing the breakdown of transport ton-kilometers by location allow for quantitative assessment of whether workload (transport ton-kilometers) is too concentrated in specific locations, or conversely, whether there are underutilized locations, contributing to a review of resource allocation. In addition, since the graphs showing transport ton-kilometer figures can be used to demonstrate "why that location is necessary" as the basis for decision-making, the cost of explaining to management and other stakeholders is reduced.

[0043] Furthermore, since it's possible to move base icons and run simulations again, it's possible to instantly recalculate and find the next-best overall optimal base placement under constraints, taking into account the user's tacit knowledge, such as "this land cannot be removed due to contractual obligations" or "this location is advantageous based on local knowledge." It's also possible to simulate the ripple effects on other bases when a specific base placement is moved in real time.

[0044] Furthermore, since existing or new logistics bases can be selectively adopted, for example, if only existing bases are used, it is considered effective for operational review as a reallocation of logistics bases, while if only new bases are used, it is considered effective for designing the optimal base layout from scratch, and if existing and new bases are mixed, it is considered effective for formulating a phased expansion and consolidation plan for base locations that makes use of existing assets.

[0045] Furthermore, it is possible to choose whether or not to exclude locations where logistics bases cannot be established. For example, by excluding "physically impossible locations" such as the sea, rivers, and steep mountainous areas from the simulation, the simulation results can be provided as an actionable plan. Conversely, if the exclusion setting is not chosen, it is possible to check what an ideal base placement would look like, ignoring geographical constraints, and to use the results to search for alternative locations for logistics bases in the surrounding areas.

[0046] Next, the second simulation system 1B will be explained with reference to Figures 4-6. Note that illustrations and explanations of aspects identical or similar to the first simulation system 1A described above will be omitted, and particular differences will be described in detail.

[0047] [Overview of the second simulation system] As shown in Figure 4, the second simulation system 1B uses logistics base data and logistics shipment data, but also allows the number of bases to be determined as a prerequisite for the simulation, along with the simulation period. Based on the determined simulation period and number of bases, the system simulates the arrangement of logistics bases so that the total transport ton-kilometers are minimized. In other words, in the second simulation system 1B, the number of bases is fixedly set by the user, so the simulation result will always be an arrangement of bases with a fixed number of bases. In addition, geomaps with base icons, radial lines or transport lines along roads connecting base icons to shipping addresses, and graphs showing transport ton-kilometers are displayed in the same way as in the first simulation system 1A.

[0048] [Functional Configuration of the Second Simulation System] As shown in Figure 5, the second simulation system 1B includes a third decision unit 16a instead of the second decision unit 16 mentioned above, as a component that enables the CPU and other components to function by having the computer execute a predetermined program. The other components are the same as those of the first simulation system 1A.

[0049] The third decision unit 16a consists of a CPU and other components, and determines the number of logistics bases (number of bases) to be used permanently in the simulation, in response to arbitrary user input from the operation unit 11. The number of bases is determined based on budget and operational resource constraints.

[0050] For this third decision unit 16a, the simulation unit 17 determines the number of locations (latitude and longitude) based on the logistics base data and logistics shipment data acquired by the acquisition unit 14, by simulating the location of locations (latitude and longitude) so that the total transport ton-kilometers are minimized, under the conditions that the number of locations is limited to that determined by the third decision unit 16a and falls within the simulation period determined by the first decision unit 15. In other words, the simulation result will always be the determined number of locations.

[0051] [Processing by the second simulation system] Next, the simulation process using the second simulation system 1B will be explained with reference to Figure 6. Note that the following explanation will detail steps that differ from those of the first simulation system 1A.

[0052] As shown in Figure 6, in S12, the third determination unit 16a determines the number of locations according to the user's specified input, etc.

[0053] In S13, the simulation unit 17 uses logistics base data and logistics shipment data to determine the optimal placement (latitude and longitude) of logistics bases within the determined simulation period and for the specified number of bases, so as to minimize the total transport ton-kilometers. At the same time, the simulation unit 17 also creates a graph showing the transport ton-kilometers for each base placement.

[0054] Subsequently, in steps S14 and S15, the same processing as in the first simulation system 1A is performed. In this way, a map image is generated by placing base icons on the geomap and drawing radial lines. The display unit 12 displays the map image along with the base icons and radial lines, and also displays a graph showing the transport ton-kilometers for each base placement (see Figure 4). Furthermore, by moving the base icons, the other base placements can be recalculated through simulation, and the map image can be redisplayed by rearranging the other base icons and redrawing the radial lines.

[0055] [Effects of the second simulation system] The second simulation system 1B described above produces the same effects as the first simulation system 1A, as well as the following effects.

[0056] According to the second simulation system 1B, by fixedly limiting the number of locations and simulating the placement of logistics bases to minimize the total transport ton-kilometers based on the simulation period, it is possible to concentrate discussions only on the best placement locations within the framework of management resources, eliminate theoretical scenarios where the number of bases increases indefinitely, and create immediately actionable plans.

[0057] Furthermore, by repeatedly running simulations while increasing the number of bases one by one, for example, the relationship between the number of bases and transported ton-kilometers can be analyzed in a systematic manner.

[0058] Furthermore, while the number of bases is derived variably as a result of the simulation, as in the first simulation system 1A, the second simulation system 1B allows the simulation program to concentrate computational resources solely on specifying the location of bases, enabling high-precision simulations using geomaps with more detailed road network data to be performed in a short time.

[0059] Although embodiments of the present invention have been described above, the present invention is not limited to the embodiments described above. Furthermore, the effects described in the embodiments of the present invention are merely a list of preferred effects arising from the present invention, and the effects of the present invention are not limited to those described in the embodiments of the present invention.

[0060] As an alternative simulation system, for example, a system combining the functions of both the first simulation system 1A and the second simulation system 1B described above may be constructed.

[0061] Furthermore, the simulation may be limited to specific regions, such as prefectures or municipalities, and users may be allowed to arbitrarily choose whether to target such specific regions or the entire country.

[0062] Furthermore, while ton-kilometers are used as an indicator of transportation efficiency, other factors such as "fixed costs (rent and labor costs)" and "variable costs (cargo handling costs)" for each logistics base could also be incorporated into the simulation. In that case, it would be possible to compare and evaluate, on a monetary basis, which is more advantageous: urban areas where transportation distance is shorter but rent is extremely high, or suburban areas where distance is longer but costs are lower. Alternatively, by emphasizing time rather than distance, information such as average speed by time of day (traffic congestion information) could be obtained from road network data, and the simulation could be performed to minimize "transport tons-hours" rather than ton-kilometers. This would allow the simulation results to display a more realistic base placement that avoids areas such as urban areas where distance is short but time is long.

[0063] Furthermore, alternative means of transportation other than vehicles may be included in the simulation. For example, data on "rail freight stations" and "ports" could be overlaid on a geomap, and the transportation ton-kilometers for routes passing through these locations from a logistics hub could be calculated. This would allow for a simulation of the efficiency improvements that could be achieved, for example, by switching from trucks to rail and ships for long-distance transportation. [Explanation of symbols]

[0064] 1A First Simulation System 1B Second Simulation System 10 Communications Department 11 Control section 12 Display section 13 Storage section 14 Acquisition Department 15. First Decision Section 16. Second Decision Section 16a Third decision section 17 Simulation Department 18 Placement section 19 Drawing section

Claims

1. A logistics base location simulation system for simulating the arrangement of logistics bases, A means of acquiring logistics base data and logistics shipment data related to logistics, A first decision means that determines the period to be used for the simulation based on user input, A second determination means that determines the movable distance from the logistics base to the shipping destination, which is used in the simulation, based on user input, Based on the logistics base data and logistics shipment data acquired by the acquisition means, a simulation means determines the location of logistics bases by simulation, such that the number of existing logistics bases included in the logistics base data is within the travelable distance determined by the second determination means and the total transport ton-kilometers for the period determined by the first determination means is minimized. A placement means for placing base icons on a geomap based on the simulated base arrangement, A drawing means for drawing lines connecting the location icons placed on the geomap with the latitude and longitude of the shipping destination addresses on the geomap, A logistics hub placement simulation system equipped with the following features.

2. A logistics base placement simulation system for simulating the placement of logistics bases, A means of acquiring logistics base data and logistics shipment data related to logistics, A first decision means that determines the period to be used for the simulation based on user input, A third determination means that determines the number of logistics bases to be used in the simulation based on user input, A simulation means that determines the location of logistics bases by simulation, based on the logistics base data and logistics shipment data acquired by the acquisition means, such that the number of bases is determined by the third determination means and the total transport ton-kilometers for the period determined by the first determination means is minimized. A placement means for placing base icons on a geomap based on the simulated base arrangement, A drawing means for drawing lines connecting the location icons placed on the geomap with the latitude and longitude of the shipping destination addresses on the geomap, A logistics hub placement simulation system equipped with the following features.

3. The logistics hub placement simulation system according to claim 1 or 2, wherein the drawing means draws the hub icon and the latitude and longitude of the shipping destination address on the geomap by drawing a straight line.

4. The logistics hub placement simulation system according to claim 1 or 2, wherein the drawing means draws the hub icons and the latitude and longitude of the shipping destination addresses on the geomap by connecting them with lines so as to overlap with roads actually used for transportation.

5. The logistics base placement simulation system according to claim 1 or 2, wherein the simulation means creates a graph showing the breakdown of the calculated total transport ton-kilometers by base location.

6. The logistics hub placement simulation system according to claim 1 or 2, wherein the simulation means can move the drawn hub icon to a desired address and simulate again so that the hub icon at the moved address and the shipping destination address are connected by a line and drawn on the geomap.

7. The logistics base placement simulation system according to claim 1 or 2, wherein the simulation means can select whether to perform calculations from existing logistics bases, calculates from new logistics bases only without including existing logistics bases, or performs calculations including both existing and new logistics bases.

8. The logistics base placement simulation system according to claim 1 or 2, wherein the simulation means can use land use data or topographic data to select whether or not to exclude from calculation locations where logistics bases cannot be placed.

9. A logistics base location simulation method performed by a logistics base location simulation system for simulating the arrangement of logistics bases, Steps to obtain logistics hub data and logistics shipment data related to logistics, Based on user input, the first and second steps determine the period to be used for the simulation, A step in which, based on user input, the possible travel distance from the logistics center to the shipping destination is determined for use in the simulation, Based on the acquired logistics base data and logistics shipment data, the steps include: determining the base arrangement by simulation using the number of existing logistics bases included in the logistics base data so that it fits within the determined travel distance and minimizes the total transport ton-kilometers during the determined period; The steps include: placing base icons on a geomap based on the simulated base arrangement; The steps include drawing lines connecting the location icons placed on the geomap with the latitude and longitude of the shipping destination addresses on the geomap, A method for simulating the placement of logistics bases, including the above.

10. A logistics base location simulation method performed by a logistics base location simulation system for simulating the arrangement of logistics bases, Steps to obtain logistics hub data and logistics shipment data related to logistics, Based on user input, the first and second steps determine the period to be used for the simulation, The first step is to determine the number of logistics bases to be used in the simulation based on user input. The steps include: determining the location of the logistics bases by simulation, based on the acquired logistics base data and logistics shipment data, such that the number of bases is determined and the total transport ton-kilometers during the determined period are minimized; The steps include: placing base icons on a geomap based on the simulated base arrangement; The steps include drawing lines connecting the location icons placed on the geomap with the latitude and longitude of the shipping destination addresses on the geomap, A method for simulating the placement of logistics bases, including the above.

11. A computer in a logistics base placement simulation system that simulates the placement of logistics bases, Steps to obtain logistics hub data and logistics shipment data related to logistics, A step in determining the period to be used for the simulation, based on user input. A step in which, based on user input, the possible travel distance from the logistics center to the shipping destination is determined for use in the simulation. Based on the acquired logistics base data and logistics shipment data, the number of existing logistics bases included in the logistics base data is used to simulate the placement of bases so that it fits within the determined travel distance and minimizes the total transport ton-kilometers during the determined period. The step of placing base icons on a geomap based on the simulated base arrangement, The steps include drawing lines connecting the location icons placed on the geomap with the latitude and longitude of the shipping destination addresses on the geomap, A computer-readable computer program for executing a program.

12. A computer in a logistics base placement simulation system that simulates the placement of logistics bases, Steps to obtain logistics hub data and logistics shipment data related to logistics, A step in determining the period to be used for the simulation, based on user input. A step in which the number of logistics bases to be used in the simulation is determined based on user input. A step of determining the location of logistics bases by simulation, based on the acquired logistics base data and logistics shipment data, such that the number of bases is determined and the total transport ton-kilometers during the determined period are minimized. The step of placing base icons on a geomap based on the simulated base arrangement, The steps include drawing lines connecting the location icons placed on the geomap with the latitude and longitude of the shipping destination addresses on the geomap, A computer-readable computer program for executing a program.

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