期刊
JOURNAL OF GLOBAL OPTIMIZATION
卷 51, 期 2, 页码 245-254出版社
SPRINGER
DOI: 10.1007/s10898-010-9595-8
关键词
Two-stage supply chain; Bi-level programming; Hierarchical decision-making; Optimization; Particle swarm optimization
资金
- Australian Research Council (ARC) [DP0557154]
- Australian Research Council [DP0557154] Funding Source: Australian Research Council
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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