Genetic Algorithm Combined with a Gradient Search Method in Solving a Supply Chain Model

摘要：

This work aims at solving a challenging model with nonlinear quality functions and binary variables. The model integrates quality functions that represent Cost of Quality (COQ). The model minimizes the cost quality along with production and transportation cost. To solve the model the Genetic Algorithm (GA) is used along with a gradient search methodology. The results pave the way for many future possibilities. Now that COQ is integrated as a cost parameter in a supply chain network model, intelligent decisions could be made to reduce quality non-conformance cost while maintaining moderate operational costs.

关键词： Supply Chain Management Cost of Quality Genetic Algorithm Gradient Search Method

作者: Chaher ALZAMAN Amar RAMUDHIN Akif A.BULGAK

作者单位: Department of Mechanical and Industrial Engineering,Concordia University,1455 de Maisonneuve Blvd.We Department of Automated Manufacturing Engineering,école de Technologie Supérieure,1100 Notre-Dame St

会议类型: 国际会议

会议名称: 工业工程与系统管理2007年国际会议(International Conference on Industrial Engineering and Systems Management)(IESM 2007)

会议地点: 北京

会议语种:英文

在线出版日期: 2007-05-30（万方平台首次上网日期，不代表论文的发表时间）