Modeling and Optimization of Regional-Market-Oriented Product  Mix in Supply Chain Environment

Abstract

Abstract: In a supply chain, for each enterprise, product mix is downstream regional market oriented. To effectively operate a supply chain, each enterprise should optimize its product mix in the viewpoint of the whole supply chain. This problem is formulated as a multiobjective optimization problem with enterprise profit, market fill rate, and product sale rate as objectives. Then, based on quantum theory, an improved particle swarm optimization algorithm is proposed to solve the problem. By this algorithm, a concept of relative optimum membership degree is defined as fitness function such that multiple objectives can be effectively treated. Numerical experiments show that the proposed method is effective.

Key words: supply chain, multi-objective optimization, particle swarm optimization, relative optimum membership degree

Peng Shu-fen1,2, Li Tie-ke1,2, Wang Bai-lin1,2. Modeling and Optimization of Regional-Market-Oriented Product Mix in Supply Chain Environment[J]. Industrial Engineering Journal , 2012, 15(6): 95-101.

References

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Modeling and Optimization of Regional-Market-Oriented Product Mix in Supply Chain Environment

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