A Fuzzy Bi-level Pricing Model and a PSO Based Algorithm in Supply Chains

Authors:
Ya Gao;Guangquan Zhang;Jie Lu;Hui-Ming Wee
Affiliations:
Faculty of Engineering & Information Technology, University of Technology, Sydney, Australia 2007;Faculty of Engineering & Information Technology, University of Technology, Sydney, Australia 2007;Faculty of Engineering & Information Technology, University of Technology, Sydney, Australia 2007;Department of Industrial and Systems Engineering, Chung Yuan Christian University, Chungli, Taiwan, ROC 32023
Venue:
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Year:
2009

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Abstract

Due to rapid technological innovation and severe competition, the upstream component price and the downstream product cost in hi-tech industries usually decline significantly with time. In building a pricing supply chain model, some coefficients are generally obtained from experiments and cannot be defined as crisp numbers. Thus, an effective fuzzy pricing supply chain model becomes crucial. This paper establishes a fuzzy bi-level pricing model for buyers and vendors in supply chains. Then, a particle swarm optimization (PSO) based algorithm is developed to solve problems defined by this model. Experiments show that this PSO-based algorithm can solve fuzzy bi-level pricing problems effectively.