An Integrated Supplier Selection Problem Under Fuzzy Environment
An integrated supplier selection problem under fuzzy. environment is studied in this paper. Firstly, the linear weight method is used to calculate the scores of suppliers according to their different attributes, such as: quality, service, warranty, delivery, reputation and position, which are assumed as fuzzy variables. Secondly, a fuzzy expected value programming model and a fuzzy chance-constrained programming model are proposed to select the best combination of the suppliers and determine the order quantities. A hybrid intelligent algorithm, based on fuzzy simulation, genetic algorithm and neural network, is used to solve the two models. Finally, a numerical example is given to illustrate the effectiveness of the proposed models.
Supply chain Supplier selection Fuzzy variable Intelligent algorithm
Hua Jiang
School of Management, Tianjin University, Tianjin, 300072,China School of Technology, Tianjin University of Finance and Economics, Tianjin, 300072,China
国际会议
重庆
英文
110-114
2011-08-20（万方平台首次上网日期，不代表论文的发表时间）