订单分配与车辆路径联合优化研究  

Research on Joint Optimization of Order Allocation and Vehicle Routing

作　　者：陈荣虎[1] 方红丽 CHEN Rong-hu;FANG Hong-li(School of Management Science and Engineering,Anhui University of Technology,Maanshan 243032,China)

机构地区：[1]安徽工业大学管理科学与工程学院,安徽马鞍山243032

出　　处：《软件导刊》2022年第12期69-75,共7页Software Guide

基　　金：国家自然科学基金面上项目(72074002)。

摘　　要：针对传统订单分配时因主导地位的制造商决策时会忽略其他供应链成员利益的问题,提出决策者应站在合作的角度作出能够使供应链成员共赢的决策。对供应链中的两个重要环节进行联合优化,结合实际企业情况,以单制造商—多分销商组成的供应链成员总利润最大为目标,建立订单分配与车辆路径联合优化数学模型,并利用双层遗传算法求解,通过案例仿真,验证了模型与算法的有效性。供应链成员之间相互合作,为了共同的目标努力,有助于在激烈竞争中发挥巨大优势。In terms of the problem that the dominant manufacturer may ignore the benefit of other supply chain members when making decisions in traditional order allocation, it is proposed that decision-makers should make win-win decisions for supply chain members from the perspective of cooperation.Two important links in the supply chain are selected for joint optimization. Combined with the actual situation of enterprise, the mathematical model of order allocation associated with vehicle routing optimization is set up and is solved to use the double genetic algorithm with the goal of maximizing profits of all members including a single manufacturer and several distributors.Through case simulation, the validity of the model and algorithm is verified.The cooperation between supply chain members for the common goal will be conducive to play an important part in the fierce competition in the future.

关 键 词：订单分配 车辆路径优化 联合优化 双层遗传算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]