Fuzzy Bi-Level Multi-Objective Programming for Supply Chain
For a two-echelon supply chain consisted of multi-plants and multi-warehouses, with multi-productions, this paper develops a bi-level programming model aims to minimize the total cost. The problem includes two sub-problems: the higher-level problem and the lower-level problem respectively decided by plants and warehouses. Built in dynamic environments the model has fuzzy parameters in constraints. The way to convert fuzzy constraints to their crisp equivalents is discussed. To simplify the solution, membership function of fuzzy theory is applied to transform the bi-level programming to single-level problem. Then Genetic Algorithm is proposed for generating Pareto optimal solutions. Finally, the model and algorithm are illustrated with a numerical example.
supply chain bi-level programming multi-objective fuzzy Genetic Algorithm
Ying Li Shanlin Yang
Management School of Hefei University of Technology, Hefei, Anhui Province, 230009, China
国际会议
2007 IEEE International Conference on Automation and Lofistics
山东济南
英文
2007-08-18（万方平台首次上网日期，不代表论文的发表时间）