| 摘 要: 为解决企业供应商选择与订单分配的问题，以某生产企业过去五年400余家供应商的原材料订购与运输数据为基础进行量化分析，并应用AHP-TOPSIS综合评价模型确定供应商排名，筛选出一流供应商，然后应用0—1规划模型确定最少供应商数量21 家，最后利用罚函数粒子群算法得出前21 家供应商最优订单分配方案。本项目研究目的是帮助企业制定未来基于保障生产要求的最优订购方案。 |
| 关键词: 供应商选择；粒子群算法；0—1规划模型；罚函数 |
|
中图分类号: TP399
文献标识码: A
|
|
| Research on the Model of Supplier Selection and Order Allocation |
|
QU Zibing1, MAO Yinjie2, LU Yingjie1, LI Tianfeng1, YI Yingping1
|
( 1. School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;
2.School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China)
1036499310@qq.com; mbradley@qq.com; 1318306884@qq.com; 374174824@qq.com; yyp@usst.edu.cn
|
| Abstract: In order to solve the problem of enterprise supplier selection and order allocation, this paper proposes to make a quantitative analysis of the raw material ordering and transportation data of more than 400 suppliers of a certain manufacturing enterprise over the past five years. AHP-TOPSIS (Analytic Hierarchy Process-Technique for Order Preference by Similarity to an Ideal Solution) comprehensive evaluation model is used to determine suppliers' ranking, screen out the first-class suppliers. Then, 0-1 planning model is used to determine the minimum number of suppliers, which is 21. Finally, the optimal order allocation solution of the top 21 suppliers is obtained by using the penalty function particle swarm optimization algorithm. The purpose of this study is to help enterprises formulate the optimal ordering solution, which guarantees production requirements in the future. |
| Keywords: supplier selection; particle swarm optimization; 0-1 planning model; penalty function |
