Study on multi-stage multi-objective network location problem based on greedy heuristic algorithm
Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University(2012)
摘要
To remedy the defects for lack of consideration of the demand change and customer satisfaction in many existing location models, this paper studied the problem under demand uncertainty and established a function which can measure customer's satisfaction. With stochastic chance constrained programming approach, the study was extended to multi-period decision area and a dynamic multi-stage multi-objective location model for distribution center (DC) was proposed. The problem objective was assessed by considering not only minimizing the cost during planning period, but also maximizing the customer satisfaction. To solve the model, this paper introduced a greedy heuristic algorithm based on assignment priority with high customer satisfaction. The computation results show that the non-inferior solutions include the optimal solution of conventional location model which only seeks for minimization logistics cost, this model offers a more flexible and comprehensive decision support to distribution center location problem.
更多查看译文
关键词
Dynamic multi-stage location,Greedy heuristic algorithm,Priority with high satisfaction,Stochastic demand
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要