Soft Computing Based Procurement Planning of Time-variable Demand in Manufacturing Systems

作     者：Kai Leung Yung Wai Hung Ip Ding-Wei Wang 

作者机构：Department of Industrial and Systems Engineering Hong Kong Polytechnic University Hung Horn Kowloon Hong Kong PRC School of Information Science and Engineering Northeastern University Shenyang 110004 PRC 

出 版 物：《International Journal of Automation and computing》 (国际自动化与计算杂志（英文版）)

年 卷 期：2007年第4卷第1期

页      面：80-87页

学科分类：081203[工学-计算机应用技术] 08[工学] 0802[工学-机械工程] 0835[工学-软件工程] 0701[理学-数学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work was supported by Hong Kong Polytechnic University(No.G.45.37.T363), the National Natural Science Foundation of PRC(No.70431003,60521003) 

主　　题：Purchase planning Enterprise Resource Planning (ERP) soft computing genetic algorithm fuzzy decision inventory control. 

摘      要：Procurement planning with discrete time varying demand is an important problem in Enterprise Resource Planning （ERP）. It can be described using the non-analytic mathematical programming model proposed in this paper. To solve the model we propose to use a fuzzy decision embedded genetic algorithm. The algorithm adopts an order strategy selection to simplify the original real optimization problem into binary ones. Then, a fuzzy decision quantification method is used to quantify experience from planning experts. Thus, decision rules can easily be embedded in the computation of genetic operations. This approach is applied to purchase planning problem in a practical machine tool works, where satisfactory results have been achieved.