厂商供货仿真过程的优化

N. Miedviedieva, Mariia Bahrii
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引用次数: 1

摘要

在AnyLogic环境下,采用agent建模的方法,建立了备件从制造商到机场运输过程的仿真模型。在模型的构建过程中,使用了OpenStreetMap资源的GIS地图,它允许您添加对象的坐标并构建尽可能接近真实的路线。仿制模型是为安东诺夫系列工厂和七个乌克兰机场建造的,这些机场每周需要两次飞机维护和维修的备件。订单通过通知从机场到工厂之后,卡车装载完毕,最多可运输7辆汽车。装卸货物的时间是两到三个小时。在收到备件后,机场以“已送达!”的信息通知企业。然后卡车被送回企业。在仿真模型的开发过程中,创建了工厂“制造”的单个代理、代理“机场”的总体(包含带有其坐标的机场集合)、代理“卡车”的总体和代理类型“订单”。假设每个机场都发送相同形式的请求,则描述了订购新备件的过程。描述了工厂处理订单的逻辑,其中考虑到:接收申请,装载卡车的时间,将其发送给客户,卸载卡车,交货通知和将卡车返回公司。创建并进行了优化实验,以最大限度地减少向乌克兰机场供应备件的货运车辆的数量,其装载率不超过85%。实验结果表明,当使用2辆卡车时,资源利用的最佳允许值约为64%。根据所进行的研究结果,企业资源利用率的平均值将在60-85%之间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OPTIMIZATION OF THE SIMULATION PROCESS OF PRODUCT SUPPLY FROM THE MANUFACTURER
A simulation model of the process of transportation of spare parts from the manufacturer to airports was developed using the method of agent modeling in the AnyLogic environment. During the construction of the model, a GIS map of the OpenStreetMap resource was used, which allows you to add coordinates of objects and build routes as close as possible to real ones. The imitation model was built for the Antonov Serial Plant and seven Ukrainian airports, which need spare parts for aircraft maintenance and repair twice a week. The order comes from the airport to the factory via notification. After that, the truck is loaded, the maximum number of cars for transportation is seven. The time for loading and unloading is two to three hours. After receiving the spare parts, the airport notifies this enterprise by the message «Delivered!». Then the truck is sent back to the enterprise. During the development of the simulation model, the single agent for the factory «Manufacturing», the population of the agent «Airport», which contains a collection of airports with their coordinates, the population of agents «Truck» and the agent type «Order» are created. The process of placing an order for new spare parts is described, given that each airport sends a request of the same form. The logic of order processing by the plant is described, which takes into account: receiving an application, time for loading the truck, sending it to the customer, unloading the truck, notification of delivery and returning the truck to the company. An optimization experiment was created and conducted to minimize the number of cargo vehicles for the supply of spare parts to Ukrainian airports, the loading of which is no more than 85%. The results of the experiment showed that the best allowable value for the use of resources is about 64% when using 2 trucks. According to the results of the conducted research the average value of the resource utilization rate at the enterprise will range from 60-85%.
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