MULTI-SUPPLIER AND MULTI-PRODUCT WITH STOCHASTIC DEMAND AND CONSTRAINTS USING GENETIC ALGORITHM

摘要：

This study addresses supplier selection model with multi-product, stochastic demand and constraints of service level and budget. Recently much attention is focused on the stochastic demand due to uncertainty in the real world. There are conflicting objectives such as profit, service level and resource utilization. Pareto optimal solutions and return on investment (ROI) are analyzed to provide decision maker alternative options of proper budget and service level. Genetic algorithm (GA) is used to solve this problem. The relationship between the expected profit and experimental trials is derived to test the state of convergence. The relationship between the expected profit and parameters of mutation and crossover rates is also investigated to identify a better parameter value to run GA efficiently.

关键词： Genetic algorithm Multi-product and multi-supplier Stochastic demand A single order problem

作者: P.C.YANG H.M.WEE S.L.CHUNG C.J.CHUNG Y.F.TSENG

作者单位: Industrial Engineering and Management Department, St.JohnfSMJniversity, Tamsui, Taipei 25135 Industrial Engineering Department, Chung Yuan Christian University, Chungli, Taiwan, 32023 Information Management Department, St.Johns University, Tamsui, Taipei 25135 Business Administration Department, Meiho Institute Technology, Pingtung, Taiwan 91202

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 3946-3951

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）