期刊名称：American Journal of Industrial and Business Management
印刷版ISSN：2164-5167
电子版ISSN：2164-5175
出版年度：2016
卷号：06
期号：08
页码：860-876
DOI：10.4236/ajibm.2016.68082
语种：English
出版社：Scientific Research Publishing
摘要：After focusing on Cost of Quality (CoQ), the companies must now move into integrating the CoQ into Supply Chain upstream and downstream, to address CoQ issues across Supply Chain Network Design (SCND) modeling. In this preliminary study, we propose a state of the art of the published works on models and classifications of SCND incorporating the CoQ existing in the literature. In the second part of this paper, we will present a review by studying and analyzing the application of some meta-heuristics to solve supply chain models. The reviewed meta-heuristics include: the genetic algorithm (GA), and simulated annealing (SA). Finally, we suggest directions for future research.
关键词：Cost of Quality;Supply Chain Management;Multi-Objective Optimization;Genetic Algorithm;Simulated Annealing
