Particle swarm optimization for bi-level pricing problems in supply chains |
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Authors: | Email author" target="_blank">Ya?GaoEmail author Guangquan?Zhang Jie?Lu Hui-Ming?Wee |
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Institution: | 1.Decision Systems & e-Service Intelligence Laboratory, Centre for Quantum Computation & Intelligent Systems, Faculty of Engineering & Information Technology,University of Technology,Sydney,Australia;2.Department of Industrial and Systems Engineering,Chung Yuan Christian University,Chungli,Taiwan, ROC |
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Abstract: | With rapid technological innovation and strong competition in hi-tech industries such as computer and communication organizations,
the upstream component price and the downstream product cost usually decline significantly with time. As a result, an effective
pricing supply chain model is very important. This paper first establishes two bi-level pricing models for pricing problems
with the buyer and the vendor in a supply chain designated as the leader and the follower, respectively. A particle swarm
optimization (PSO) based algorithm is developed to solve problems defined by these bi-level pricing models. Experiments illustrate
that this PSO based algorithm can achieve a profit increase for buyers or vendors if they are treated as the leaders under
some situations, compared with the existing methods. |
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Keywords: | |
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