为了解决铁和钢的内部后勤问题,工作,例如车辆和高交通的低交通效率费用,生产过程和铁和钢工作的传统的交通风格被介绍。铁和钢工作的内部运输任务根据交通的需求时间基于簇分析被组织。安排半拖车的模型的改进车辆在装载节点之中交换运输,在一个任务组卸掉节点被建立。算法被设计基于半拖车与同时的提取和交货(VRPSPD ) 问题解决车辆路由问题交换运输。一个解决的程序被 MATLAB 软件和方法写弄明白每个组织的最佳的路径被获得。拖拉机的落下并且拉的交通计划被设计。并且半拖车的一个例子在铁和钢工作交换运输被给。结果显示半拖车交换运输罐头减少在 54.5% 和 88.6% 的车辆和司机的数字分别地与在铁和钢安排工作,和全部的距离分散相比旅行了在 43.5% 的还原剂。半拖车交换铁和钢工作开发的运输罐头帮助在目的生产。
In order to solve internal logistics problems of iron and steel works, such as low transportation efficiency of vehicles and high transportation cost, the production process and traditional transportation style of iron and steel works were introduced. The internal transport tasks of iron and steel works were grouped based on cluster analysis according to demand time of the transportation An improved vehicle scheduling model of semi-trailer swap transport among loading nodes and unloading nodes in one task group was set up. The algorithm was designed to solve the vehicle routing problem with simultaneous pick-up and delivery (VRPSPD) problem based on semi-trailer swap transport. A solving program was written by MATLAB software and the method to figure out the optimal path of each grouping was obtained. The dropping and pulling transportation plan of the tractor was designed. And an example of semi-trailer swap transport in iron and steel works was given. The results indicate that semi-trailer swap transport can decrease the numbers of vehicles and drivers by 54.5% and 88.6% respectively compared with decentralized scheduling in iron and steel works, and the total distance traveled reduces by 43.5%. The semi-trailer swap transport can help the iron and steel works develop the production in intension.