KR101119929B1 - Automated Guided Vehicle System And Simulation Method Of The Same - Google Patents

Abstract

The present invention provides a user interface unit for inputting workplace information and operation design information of an automatic transport vehicle; It includes a simulation engine unit that determines the flow path of the workplace based on the workshop information, and models and simulates the operation of the vehicle at the workplace based on the workplace flow path and the operation design information.

According to the present invention, the modeling and simulation of the AGV system is automatically performed using the design elements of the AGV system, and the result is generated as a report and provided to the user, thereby allowing the user to check the result and the state of the AGV system. Accordingly, the user can easily design and verify the optimal AGV system based on the results derived from the simulation of the AGV system, and compare the performance according to the change of each design element and the AGV ordering method. In addition, the AGVS simulator has the flexibility to design and validate an automated vehicle system even in an unstructured workplace.

Description

Automated Guided Vehicle System And Simulation Method Of The Same

TECHNICAL FIELD The present invention relates to a vehicle system and a simulation method thereof, and more particularly, to a vehicle system and a simulation method thereof for performing modeling and simulation of the vehicle system.

Today, due to the automation of the production site according to the development of science and technology, material handling equipment is used in many parts of the production site, and researches on the production system for increasing productivity and responding to various consumer demands are being conducted. In line with this, corporate production systems are developing in the form of fixed production systems, flexible production systems, and reconfigurable manufacturing systems (RMS). Since the performance of the above systems depends largely on the flexibility of the material handling system, a material handling system is required to satisfy the flexibility and efficiency of the production system at the same time. A material handling system that can meet this flexibility and efficiency simultaneously is the Automated Guided Vehicle (AGV) system.

In other words, the AGV system, which is suitable for transporting various materials to various loading and unloading points, plays an important role in determining the overall performance of these systems, and is used in places where material movement needs are high, such as warehouses and container terminals. And its use is expanding.

The AGV system is an important factor in determining the performance of the production system, and it is essential to derive an optimal design plan. Therefore, it is necessary to verify the design and analyze the optimal alternatives before the actual installation of the AGV system. The design of the AGV system can be divided into the system design and the operational design. Among the elements of the system design are the determination of the number and type of AGVs, the size of the unit cargo, the location of the loading and unloading points, the layout of the workplace and the movement path of the AGV. The design and the location of the parking lot. The elements of the operation design include the AGV ordering method for the AGV operation, the AGV control, the AGV scheduler, and the AGV movement path setting.

In order to efficiently design the AGV system, the design elements of the AGV system must be considered in an integrated manner. However, the design elements of the AGV system are simultaneously generated while interacting with each other and affect the performance of the AGV system.

In addition, for the design, verification and alternative analysis of AGV system, the system was modeled and analyzed according to each design element using mathematical method, but it is difficult to verify the correct performance due to the complexity of the system. For this purpose, simulation methods using commercial simulation software are mainly used, but commercial simulation software is expensive to install and expensive to purchase. In addition, the expertise to model AGV systems directly for simulation in a given workplace environment is required and time consuming to model.

The purpose of the present invention to solve this problem is to directly input the design elements for design verification and optimal design of the AGV system, and to integrate the design elements input by the user to model the AGV system The present invention provides an automatic vehicle system and a simulation method thereof, which allow a user to easily model an AGV system.

Another object of the present invention is to provide an AGV system and a simulation method thereof in which a user can visually identify a simulation result and a situation of an AGV system.

It is still another object of the present invention to design an optimal AGV system having an optimal one-way flow path using the tab search, and to provide an AGV system capable of simulating the AGV system and a simulation method thereof.

Technical means of the present invention for achieving the above object is a user interface unit for inputting the workplace information and the operating design information of the automatic transport vehicle; It includes a simulation engine unit that determines the flow path of the workplace based on the workshop information, and models and simulates the operation of the vehicle at the workplace based on the workplace flow path and the operation design information.

The user interface unit displays the results of the simulation.

The work flow path is a one-way flow path generated based on the other part search algorithm.

Workshop information includes the coordinates of each node constituting the workplace, the distance between each node, the coordinates of the loading and unloading points, and the operational design information includes the number of vehicles, the speed of the vehicles, and how to order the vehicles. Include.

The ordering method of the vehicle is made up of a plurality of ordering methods, and the user interface unit displays the work completion time of the vehicle corresponding to the ordering method selected by the user.

The operation design information further includes parking coordinates of the automatic transport vehicle, and the user interface unit displays the work completion time of the automatic transport vehicle corresponding to the parking lot coordinates of the automatic transport vehicle selected by the user, and displays the ordering method selected by the user. Displays the work quota of the automatic transport vehicle corresponding to the coordinates of the parking lot.

The simulation engine unit includes a scheduler for generating and storing a work schedule of the vehicle based on the ordering method and a movement path for storing the shortest distance between the workplaces to which the vehicle should travel based on the workplace information and the work sequence. Include a path saver.

The simulation engine unit includes a controller module that monitors the positions of the plurality of automatic vehicles when the number of the automatic vehicles is plural, and controls the speeds of the plurality of automatic vehicles, respectively, based on the positions of the multiple automatic vehicles.

The technical method of the present invention inputs workshop information and operation design information of the automatic vehicle, determines the flow path of the workplace based on the workplace information, and sets the automatic vehicle system based on the flow path and the operation design information of the workplace. Model, perform simulation of the modeled vehicle system, and display the results of the simulation.

Determining the flow path of the workplace includes creating a two-way flow path workshop based on the workplace information, applying a navigation algorithm to the information of the two-way flow path workshop, and determining the one-way flow path, and determining the one-way flow path at the two-way flow path workshop. The method may further include generating a one-way flow path workshop by applying the method.

Changing the operational design information of the vehicle, performing a simulation of the automated vehicle system to which the changed operational design information is applied, and determining the optimal operational design information based on the results of the simulation.

Generating and storing a work schedule of the vehicle based on the operational design information, and generating and storing a movement path of the shortest distance between the workplaces to which the vehicle should travel based on the workplace information and the work sequence.

According to the present invention, the user can directly input design elements for design verification and optimal design of AGV system, and can automatically model AGV system by integrating design elements input by the user. According to the present invention, it is possible to reduce the time required and to provide the simulation results of the AGV system reflecting the design elements input by the user to the user to easily verify the performance of the AGV system, and to increase the accuracy of the performance.

In other words, the modeling and simulation of the AGV system is automatically performed using the design elements of the AGV system, and the results are generated as animations and reports to the user so that the user can check the simulation results of the AGV system and the state of the AGV system. . Accordingly, the user can easily design and verify the optimal AGV system based on the results derived from the simulation of the AGV system, and compare the performance according to the change of each design element and the AGV ordering method.

In addition, to reduce the load on the AGV system, the unidirectional AGV flow path is applied to the AGV system modeling by using Tabu search to provide the user with a one-way AGV system that can design the optimal AGV system. The user can visually check the simulation results and the situation of the one-way AGV system.

In addition, the AGVS has the flexibility to design and verify an automated vehicle system even in an informal workplace.

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

1 is a configuration diagram of an automated guided vehicle system according to an embodiment of the present invention, the automated vehicle system includes a user interface (UI) unit 100, a request analysis unit 200, The simulation engine unit 300 is included.

The user interface (UI) unit 100 includes an input unit 110, a user interface (UI) controller 120, and a display unit 130.

Input unit 110 is the coordinate of each node of the workplace consisting of a node (Arc) and the arc (Arc), the distance matrix information between each node, the coordinates of the loading and unloading point of each workplace, the design of the AGV movement path, AGV Receives workplace information, such as the Work Log, between each workplace of the system, from the user, and design elements of the AGV system for design verification and optimal design proposal for the AGV system. The input information is transmitted to the UI controller 120. The design elements of the AGV system include the number of AGVs, type, speed, size of unit cargo, coordinates of the parking lot, and AGV ordering method for the operation of the AGV.

The UI controller 120 transmits the workplace information and the design element information transmitted from the input unit 110 to the request analysis unit 200 and corresponds to the simulation result and state of the one-way AGV system transmitted from the simulation engine unit 300. An animation and a report are transmitted to the display unit 130.

The display unit 130 has a simulation report window and an animation window, and displays the simulation result and state of the one-way AGV system transmitted from the UI controller 120 through the two windows as an animation and a report. The results of the AGV system here are the total work completion time of the AGV system, the working time and tolerance time of each AGV, the moving distance of each AGV, the allocated work amount of each AGV, the rate of use of each AGV, the change of work completion time according to the number of AGVs, There is a change in working time according to the change of ordering method and a change in working time according to the location of parking lot.

Accordingly, the user can easily verify the design of the optimal AGV system based on the results derived through the simulation through the display unit 130 and compare the performance of the change of each design element.

The request analysis unit 200 includes a user request analysis module 210 and a database 220. Here, the user request analysis module 210 analyzes the information of the design elements of the AGV system transmitted from the UI controller 120 of the user interface unit 100 to generate each of the generators 310 and 320 included in the simulation engine unit 300. The information on the analyzed design elements may be classified and transmitted to the database 220. Accordingly, the database 220 stores the information of the design elements transmitted from the user request analysis module 210 separately.

The simulation engine unit 300 may include an AGV layout generator 310 and a user request analysis module for automatically generating a virtual workplace for AGV system simulation based on information of design elements transmitted from the user request analysis module 210. AGV operation plan generation unit 320 that establishes an AGV operation plan based on the information of design elements transmitted from 210 and generates an AGV to be used for simulation, and the information generated by the two generation units 310 and 320 into one. The AGV system is modeled to integrate and simulate and verify the performance of the AGV system, and includes an integrated AGV system (AGVS) generation unit 330 for performing simulation by integrating information of the modeled AGV system and design elements. do.

Each generator 310, 320, 330 included in the simulation engine unit 300 will be described with reference to FIG. 2. 2 is a detailed configuration diagram of the simulation engine unit 300 included in the automatic transport system according to the embodiment of the present invention.

The AGV layout generating unit 310 is a workshop generation module 311 for generating a bidirectional flow path workshop of the AGV system in an automatic modeling process of the AGV system for simulation, and an AGV one-way flow path for generating an approximate optimal one-way movement path of the AGV. It has a generation module 312. The AGV layout generator 310 integrates the information generated by the two modules 311 and 312 into one to generate an approximate one-way flow path workshop for the simulation of the AGV system. This will be described in more detail with reference to FIG. 3. 3 is an exemplary view illustrating the creation of a one-way flow path workplace in which a one-way flow path work area is generated in an automatic transport vehicle system according to an embodiment of the present invention.

Workshop generation module 311 is the number of nodes transmitted from the user request analysis module 210, the coordinates of the nodes, arc data connected to each node, the number of arcs and the coordinates of the arc, arc length data, loading point and unloading Creates a node using the workshop information such as the number of points and coordinate data of each point, creates an arc to connect the generated nodes, and also creates a loading point and a unloading point and integrates each generated workplace element into one. To automatically generate a bi-directional flowpath workshop for the AGV system to be used for the simulation.

The one-way flow path generation module 312 generates an optimal one-way flow path in the workplace to be used for the simulation of the AGV system by using the two-way flow path workplace and the other part search generated in the workplace generation module 311. That is, the design of the one-way flow path is an important factor in determining the performance in the AGV system, and the design of the one-way flow path of the AGV system includes the bidirectional flow path information and the user request analysis module of the AGV system generated by the workplace generation module 311. Given the Work Log data between each workplace from 210, the Tabu search Algorithm is used to determine the flow path direction to minimize the total logistics cost.

The flow path thus determined means one-way between each node and the nodes constituting the workplace. As a result, the AGV moves the workplace along each node and one direction determined between nodes during the simulation.

4 is a detailed configuration diagram of the AGV operation plan generation unit 320 included in the vehicle transport system according to an exemplary embodiment of the present invention. With reference to this, the AGV operation plan generation unit 320 will be described.

The AGV operation plan generation unit 320 may include an AGV order planning generation module 321 for generating an AGV ordering plan, an AGV attribution determination module 322 for determining an AGV property suitable for a user's needs, and an AGV operation plan generation module 322 for selecting an ordering plan. Has an integrated AGV movement path generation module 323 that sets the movement path of the AGV when performing a given task.

The AGV order planning generation module 321 generates the AGV ordering method transmitted from the user requirement analysis module 210 and evaluates the performance of the AGV system to which the selected ordering method is applied. Here, the AGV ordering method includes a minimum utilization allocation policy (ordering method 1) that selects the AGV having the lowest utilization rate, a random allocation policy that selects an arbitrary AGV among operating AGVs (ordering method 2), and an AGV closest to the workplace. There is a proximity allocation policy (ordering method 3) that selects and a long-range allocation policy (ordering method 4) that selects the AGV farthest from the workplace.

The AGV ordering method transmitted from the user requirement analysis module 210 is selected by the user. The user applies each AGV ordering method to the AGV system and compares the total work completion time of the AGV according to each AGV ordering method. The AGV ordering method can be selected. AGV's order plan generation module 321 generates an AGV capable of working in an AGV system modeled for simulation, where the AGV capable of working is assigned a task according to the generated AGV ordering method, and assigns the assigned task to the corresponding AGV attribute. Send to AGV scheduler of decision module 322. At this time, the workable AGV carries out the work according to the AGV scheduler, which is the sequence of work places that the AGV should work on and carries the given work.

The AGV attribute determination module 322 generates an AGV object for use in the simulation using the operational design information of the AGV system transmitted from the user requirement analysis module 210. At this time, an AGV object corresponding to an AGV_num that can be operated is created. The operational design information of the AGV system is the number of AGVs, the speed of the AGVs, and the coordinates of loading and unloading points. In addition, each AGV object of the AGV attribute determination module 322 includes an AGV speed store for storing the speed of the AGV transmitted from the user requirement analysis module 210, an AGV scheduler for storing the work order of the AGV, and a single workplace. It includes an AGV movement path saver for storing the shortest distance movement paths between each workplace, which is a node sequence that must be passed when moving to another workplace, and a distance storage that stores the movement distance of AGV when the simulation is performed.

The AGV movement path generation module 323 generates the shortest distance path between the workplaces to which each AGV should move, using the location information of each workplace, the loading and unloading point coordinates of each workplace, and the job information in the job scheduler of the AGV. The shortest path between the generated workplaces is transmitted to the AGV movement path storage unit of the AGV attribute determination module 322. Here, the AGV shortest path is generated using Dijkstra Algorithm, and the number of nodes constituting the workplace is stored in the path storage. Accordingly, the AGV moves the workplace in the order of the nodes stored in the AGV movement path store.

The integrated AGV system (AGVS) model generation unit 330 integrates the information of each module of the AGV layout generation unit 310 and the AGV operation plan generation unit 320, as shown in FIG. 5. One-way AGVS (AGVS) simulation engine module 331 for modeling AGV system for simulation, AGV system (AGVS) controller module 332 for controlling the collision of AGVs at each node constituting the workplace of AGV system when performing simulation. ), A simulation report module 333 for generating animations and reports corresponding to simulation results of the AGV system.

The one-way AGVS simulation engine module 331 evaluates the design of the AGV system and evaluates each alternative through simulation. The total work completion time of the system, the work time of each AGV, the tolerance time, the moving distance, the assigned work amount, and the utilization rate In addition, the determination result of the AGV system according to the change in the work completion time according to the number of AGVs, the change in the working time according to the change of the order method, and the location of the parking lot is determined, and the result is transmitted to the simulation report module 333.

The AGVS controller module 332 continuously updates the position information of each AGV by monitoring the position of each AGV performing work in the simulation, and controls the speed of each AGV based on the updated position information of each AGV. More specifically, in the one-way flow path workplace, when the AGVs assume that the speed of all AGVs are the same, the AGV location may occur at the node point. Time-window is generated, and the AGV collision is predicted using the time-window. If a collision is predicted, an AGV arriving late at the same collision point as a node among collision prediction AGVs is waited near the node to avoid the collision.

In addition, the AGVS controller module 332 moves each AGV from the current position to the parking lot based on the coordinates of the parking lot which is the location of the parking lot of the AGV when the work of each AGV is completed. At this time, the coordinates of the parking lot may be set identically for all AGVs, and may be set differently for each AGV according to the current position of each AGV, the start position of the next work of the AGV, the size of the workplace, and the like.

The simulation report module 333 is the total work completion time of the system transmitted from the one-way AGVS simulation engine module 331, work time of each AGV, tolerance time, moving distance, assigned work amount, utilization rate, work completion time according to the number of AGVs. An animation and a report corresponding to a simulation result of the AGV system according to the change, work time change according to the change of the order method, and the location of the parking lot are generated, and the generated animation and report are displayed on the display unit 130 of the user interface unit 110. To send.

By automating the simulation process by creating the layout of the AGV system, generating the AGV operation plan, and generating the integrated AGV system using the information input from the user, the limitations of the simulation of the conventional deterministic method and the series for the simulation of commercial software Can improve the process.

In addition, the user inputs workshop information, AGV number, speed, location of AGV parking lot and ordering method into the AGV system, and the AGV system integrates this information into one to automatically model and simulate the AGV system. Through the window and report window, user can simulate simulation results such as total work completion time of given AGV system, travel distance of each AGV used, tolerance distance, total travel distance, utilization rate, and work time of AGV speed, logarithm and ordering method change. By providing the user with the software, the user can easily set up design validations and effective alternatives for the AGV system, and quickly verify the results.

The modeling and simulation method of the vehicle system according to the embodiment of the present invention will be described with reference to FIGS.

The input unit 110 of the user interface unit 100 receives information of design elements for modeling and simulation of the AGV system from the user. At this time, the user interface unit 100 transmits the information of the input design elements to the request analysis unit 200.

Here, the information of the design elements includes the coordinates of each node of the work site consisting of a node and an arc, the distance matrix information between each node, the coordinates of the loading and unloading points of each work place, the design verification of the AGV system, Coordinates of the parking lot, unit size, AGV ordering method, AGV number, type, speed, and work list among the workplaces determine the AGV properties for evaluation.

Next, the user requirement analysis module 210 of the request analysis unit 200 analyzes the information of the design elements of the AGV system and transmits the information of the analyzed design elements to be delivered to each generation unit included in the simulation engine unit 300. And stores information on the separated design elements in the database 220.

Next, the simulation engine unit 300 generates a bidirectional flow path workshop when the simulation is performed based on the information of the design elements transmitted from the user requirement analysis module 210, and applies the other search to the bidirectional flow path workshop to simulate the AGV system. Automatically model virtual one-way flow path workplaces.

Create an AGV object that corresponds to the workable AGV logarithm (AGV_num) for use in the next simulation. At this time, each AGV object stores the speed of AGV, the method of ordering AGV, and the work order in which the AGV is the work order, and the shortest path of movement between the work places, which is the node order that must be passed when moving from one work place to another. It stores the movement distance of AGV when performing simulation. Here, the shortest path between workplaces is generated using Dijkstra Algorithm.

Thus, AGV operation plan corresponding to AGV speed, AGV logarithm, and AGV ordering method is established and AGV to be used for simulation is generated based on this, and one-way flow path workshop and AGV operation plan are integrated to simulate the performance of AGV system. And verify and present the results to the user through reports and animations. Herein, the establishment of the AGV operation plan will be described in detail with reference to FIGS. 6 to 9.

FIG. 6 is a modeling example of an AGV system having nine workplaces WS1 to WS9. Nine workplaces having one-way flow paths are generated based on information of design elements input by a user, and ten AGVs are adjacent to workplace 1. Shown is the state waiting to perform the simulation in the parking lot of the location.

In order to select the optimal AGV ordering method that is most suitable for modeling AGV system, the user may select a plurality of AGV ordering methods (minimum utilization allocation policy (ordering method 1), random allocation policy (ordering method 2), proximity allocation policy in AGV system modeling. (Order 3) and Remote Allocation Policy (Order 4) are used to compare the total work completion time of AGV. At this time, the speed of all AGVs is set to 3, and each workshop is set to the position of the AGV parking lot, and the loading and unloading time of the AGVs is not considered in the total working hours. 4) is applied to the modeling of AGV system.

7 is an exemplary diagram of a total work completion time corresponding to a simulation result for each ordering method and a change of a parking lot location input to an AGV system according to an exemplary embodiment of the present invention.

As a result of the simulation, the horizontal value of the graph is the parking lot of AGV located in each of the 9 workplaces, and the vertical value of the graph represents the total work completion time of the AGV when the multiple AGV ordering method is applied in each parking lot.

Comparing the total work completion time for each AGV ordering method, it can be seen that the ordering method 1 and the ordering method 4 do not react the entire work completion time sensitively to the location of the parking lot. It can be seen that the completion time of the reaction was sensitive depending on the position of. In conclusion, it can be seen that the ordering method 1 (minimum utilization rate allocation policy) completed the work in the earliest time, and thus, the optimal AGV ordering method in the modeled AGV system is the ordering method 1.

When the parking lot is set to one by determining the amount of work allocated to each AGV according to the change of the parking lot and the AGV ordering method, it is possible to select an optimal AVG ordering method in the corresponding parking lot. This will be described with reference to FIG. 8.

8 is a graph of the work load allocated to each AGV according to the change of the AGV ordering method when the workplace 3 (WS3) is set as a parking lot, and at least one of the ordering method 3 (proximity allocation policy) and the ordering method 4 (remote allocation policy) As the number of tasks assigned to the AGV is increased, the total work completion time is longer than the ordering method1.

That is, if workplace 3 (WS3) is set as a parking lot, ordering method 1 (minimum utilization rate allocation policy) and ordering method 2 (random allocation policy) are assigned to each AGV evenly based on the simulation results according to the AGV ordering method. It can be seen that ordering methods 3 and 4 allocate a lot of work to at least one AGV. Therefore, in parking lot 3, it is understood that ordering method 1 (minimum utilization rate allocation policy) or ordering method 2 (random allocation policy) is an optimal AGV ordering method.

As such, when the optimal AGV ordering method and the parking lot are determined, the user can select it and input the same to the AGV system by inputting it to the user interface unit 100.

9 is a graph of work completion time corresponding to a change in AGV speed and AGV number in the selected AGV ordering method. The AGV ordering method in which the total work completion time of the AGV system is measured is the smallest. ) Is applied to the AGV system, the AGV speed is increased to 1, 2, 3, the number of AGVs is increased from 10 to 11, 12, and the simulation is performed to measure the total work completion time of the AGV system. In other words, the width represents the change in the number of AGVs used in the simulation, and the bar graph shows the total work completion time for the three speed changes. In this case, the speed means that the smaller the number, the faster. In the current workplace, as the number and speed of AGV increases, the total work completion time decreases. Thus, the simulation result of AGV system is determined by AGV property etc.

Through the AGV system, it is possible to derive the total work completion time according to the characteristics of the AGV, such as the ordering method and the location of the parking lot, and to check the operational status of the entire AGV system by checking the availability according to the work quota of each AGV. Can be. In addition, since the optimal ordering method and the location of the parking lot can be changed according to the given work, the number of AGVs, and the type of workplace in the AGV system, the AGV system allows the user to model the desired AGV system and perform simulation thereof. Design alternatives can be derived, leading to an optimal one-way AGV system. In addition, automated vehicle systems (AGVS) have the flexibility to design and validate unstructured workplaces.

1 is a block diagram of an automatic vehicle (AGV) system according to an embodiment of the present invention.

FIG. 2 is a detailed configuration diagram of a simulation engine unit included in an AGV system according to an exemplary embodiment of the present invention.

Figure 3 is an exemplary view of the creation of a one-way flowpath workshop in an automated vehicle (AGV) system according to an embodiment of the present invention.

4 is a detailed configuration diagram of the AGV operation plan generation unit included in an automatic vehicle (AGV) system according to an embodiment of the present invention.

5 and 6 are exemplary diagrams of modeling of an automatic haul vehicle (AGV) system according to an embodiment of the present invention.

7 is a graph of the total work completion time for the change of each ordering method and the parking lot position in the automatic vehicle (AGV) system according to an embodiment of the present invention.

8 is a graph of the workload assigned to each AGV according to the selected parking lot and AGV ordering method change in the AGV system according to an embodiment of the present invention.

9 is an exemplary view showing a work completion time corresponding to a change in AGV ordering method, AGV speed, and number of AGVs selected in an AGV system according to an embodiment of the present invention.

Description of the Related Art [0002]

100: user interface unit 200: request analysis unit

300: simulation engine unit

Claims (14)

A user interface unit having an input unit for receiving operation design information and workplace information having an ordering method and a display unit for animation of operation of at least one vehicle; Create a workplace based on the workplace information, determine a flow path of the workplace, model the workplace having the flow path, and automatically convey the at least one based on the flow path of the workplace and the ordering method. Generate a work order of a vehicle, generate a travel path to which the at least one auto transport vehicle should travel based on the work path of the work place, the workshop information and the work order, and generate a work order of the at least one auto transport vehicle And a simulation engine unit for simulating the driving of the at least one auto transport vehicle in the modeled workplace based on the movement route and the operational design information, and transmitting the simulation result to the user interface unit. system. delete According to claim 1, wherein the flow path of the workplace, An automatic carriage system, which is a one-way flow path generated based on the tabu search algorithm. The method of claim 1, wherein the workplace information, And a coordinate of each node constituting the workplace, a distance between each node, a coordinate of a loading point and an unloading point. The method of claim 1, wherein the operation design information, And a coordinate of the number of the vehicle, the speed of the vehicle, and the loading and unloading points. The method of claim 1, The ordering method is composed of a plurality of ordering methods, And the user interface unit displays the work completion time of the at least one auto transport vehicle corresponding to the ordering method input by the user. The method of claim 1, The operation design information further comprises parking coordinates of the at least one auto transport vehicle, And the user interface unit displays a work completion time of the at least one auto transport vehicle corresponding to the parking lot coordinates of the at least one auto transport vehicle input by the user. The method of claim 7, wherein the user interface unit, And a work quota of the at least one auto transport vehicle corresponding to the ordering method selected by the user and the coordinates of the parking lot. The method of claim 1, wherein the simulation engine unit, A scheduler for generating and storing a work schedule of the at least one vehicle based on the ordering method; And a movement path storage unit for storing the movement path of the shortest distance between the workplaces to which the at least one vehicle is to be moved based on the workplace information and the work order. The method of claim 1, wherein the simulation engine unit, A vehicle module including a controller module for monitoring the positions of the plurality of vehicles when the number of the vehicles is plural and controlling the speeds of the plurality of vehicles respectively based on the positions of the plurality of vehicles; . When the operation design information and the workplace information having the ordering method are input through the user interface unit, the generation of the workplace and the flow path determination of the workplace are performed based on the workplace information. Model the workplace with the flow path path, Generate a work schedule of at least one auto transport vehicle based on the flow path of the workplace and the ordering method, Generate a movement path to which the at least one vehicle is to be moved based on the flow path of the workplace, the workplace information and the work order, Simulate operation of the at least one auto transport vehicle at the modeled workplace based on the work order of the at least one auto transport vehicle, the travel route and the operational design information, And a method for simulating an animation of the at least one vehicle in response to the simulation result. The method of claim 11, wherein the determining the flow path of the workplace, Generate a bidirectional flow path workshop based on the workshop information, The one-way flow path is determined by applying the Tabu search algorithm to the information of the two-way flow path work place, And applying the one-way flow path to the two-way flow path workshop to generate a one-way flow path workshop. The method of claim 11, Change the operational design information of the at least one auto transport vehicle, Perform a simulation of the at least one vehicle system to which the modified operational design information has been applied, Determining the optimal operational design information based on the results of the simulation. The method of claim 11, wherein the generating of the movement path, And generating and storing a movement path of the shortest distance between the workplaces to which the at least one vehicle is to be moved based on the workplace information and the work order.

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