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

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.

[1]  Jonas C. P. Yu,et al.  Collaborative pricing and replenishment policy for hi-tech industry , 2007, J. Oper. Res. Soc..

[2]  Benjamin Lev,et al.  Inventory Models with Cost Changes , 1990, Oper. Res..

[3]  André Gascon On the Finite Horizon EOQ Model with Cost Changes , 1995, Oper. Res..

[4]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[5]  Jie Lu,et al.  A bilevel model for railway train set organizing optimization , 2007 .

[6]  Shouyang Wang,et al.  Game Theoretical Analysis of Buy-it-now Price Auctions , 2006, Int. J. Inf. Technol. Decis. Mak..

[7]  Jie Lu,et al.  On bilevel multi-follower decision making: General framework and solutions , 2006, Inf. Sci..

[8]  Jie Lu,et al.  A BI-LEVEL PRICING MODEL AND A PSO BASED ALGORITHM IN SUPPLY CHAINS , 2009 .

[9]  S. K. Goyal,et al.  A Note on "Inventory Models with Cost Increases" , 1992, Oper. Res..

[10]  Guangquan Zhang,et al.  Model and approach of fuzzy bilevel decision making for logistics planning problem , 2007, J. Enterp. Inf. Manag..

[11]  J. Buzacott Economic Order Quantities with Inflation , 1975 .

[12]  Haiyan Lu,et al.  Self-adaptive velocity particle swarm optimization for solving constrained optimization problems , 2008, J. Glob. Optim..

[13]  Y. Helio Yang,et al.  Setup cost improvement in just-in-time production using profit sharing , 2001 .

[14]  José Fortuny-Amat,et al.  A Representation and Economic Interpretation of a Two-Level Programming Problem , 1981 .

[15]  Jianwen Luo,et al.  A Note on "Inventory Models with Cost Changes" , 2003, Oper. Res..

[16]  Da Ruan,et al.  An Extended Branch and Bound Algorithm for bilevel Multi-Follower Decision Making in a Referential-Uncooperative Situation , 2007, Int. J. Inf. Technol. Decis. Mak..

[17]  E. Lee,et al.  Comparison of fuzzy numbers based on the probability measure of fuzzy events , 1988 .

[18]  Cheng-Min Feng,et al.  A fuzzy bi-level and multi-objective model to control traffic flow into the disaster area post earthquake , 2005 .

[19]  Sungjune Park,et al.  Optimal lot sizing under continuous price decrease , 2003 .

[20]  Erdal Erel The effect of continuous price change in the EOQ , 1992 .

[21]  H. Wee,et al.  A quick response production strategy to market demand , 2001 .

[22]  Michael N. Vrahatis,et al.  Recent approaches to global optimization problems through Particle Swarm Optimization , 2002, Natural Computing.

[23]  J. Pang,et al.  Strategic gaming analysis for electric power systems: an MPEC approach , 2000 .