Modeling and Solving a Multi-Period Inventory Fulfilling and Routing Problem for Hazardous Materials  

作　　者：HU Hao LI Jian LI Xiang SHANG Changjing 

机构地区：[1]School of Economics and Management,Shijiazhuang Tiedao University,Shijiazhuang 050000,China [2]College of Information Science and Technology,Beijing University of Chemical Technology,Beijing 100029,China [3]Research Base of Beijing Modern Manufacturing Development,College of Economics and Management,Beijing University of Technology,Beijing 100124,China [4]College of Economics and Management,Beijing University of Chemical Technology,Beijing 100029,China [5]Department of Computer Science,Institute of Mathematics,Physics and Computer Science,Aberystwyth University,Aberystwyth SY233DB,UK

出　　处：《Journal of Systems Science & Complexity》2020年第3期760-782,共23页系统科学与复杂性学报（英文版）

基　　金：supported by the National Natural Science Foundation of China under Grant Nos.71571010,71722007;a Fundamental Research Funds for the Central Universities under Grant No.XK1802-5;a Ser CymruⅡCOFUND Research Fellowship,UK;a Great Wall Scholar Training Program of Beijing Municipality under Grant No.CIT&TCD20180305。

摘　　要：Any potential damage may be severe once an accident occurs involving hazardous materials.It is therefore important to consider the risk factor concerning hazardous material supply chains,in order to make the best inventory routing decisions.This paper addresses the problem of hazardous material multi-period inventory routing with the assumption of a limited production capacity of a given manufacturer.The goal is to achieve the manufacturer's production plan,the retailer's supply schedule and the transportation routes within a fixed period.As the distribution of hazardous materials over a certain period is essentially a multiple travelling salesmen problem,the authors formulate a loadingdependent risk model for multiple-vehicle transportation and present an integer programming model to maximize the supply chain profit.An improved genetic algorithm considering two dimensions of chromosomes that cover the aforementioned period and supply quantity is devised to handle the integer programming model.Numerical experiments carried out demonstrate that using the proposed multiperiod joint decision-making can significantly increase the overall profit of the supply chain as compared to the use of single period decision repeatedly,while effectively reducing its risk.

关 键 词：Genetic algorithm integer programming model limited production capacity multi-period inventory routing problem 

分 类 号：TQ086.52[化学工程]