Bi-criteria allocation of customers to warehouses using a particle swarm optimisation (Q604799)
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scientific article; zbMATH DE number 5815557
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| English | Bi-criteria allocation of customers to warehouses using a particle swarm optimisation |
scientific article; zbMATH DE number 5815557 |
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Bi-criteria allocation of customers to warehouses using a particle swarm optimisation (English)
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12 November 2010
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Summary: Success of a firm largely depends on its supply chain decisions. Minimising cost and maximising service level are the contending objectives in strategic supply chain design. Researchers have been attempting to evolve an effective and efficient solution procedure for multi-objective supply chain models. In this paper, a multi-objective particle swarm optimisation (MOPSO) algorithm is proposed for bi-criteria allocation of customers to multiple warehouses. The proposed algorithm is developed in Matlab platform and tested. The results show that the proposed approach is capable of producing high-quality Pareto-optimal solutions.
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bi-criteria allocation
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multi-objective optimisation
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Pareto optimality
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PSO
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particle swarm optimisation
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supply chain management
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SCM
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supply chain design
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modelling
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multiple warehouses
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costs
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service levels
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0.7687807083129883
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0.7552428841590881
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0.7482826709747314
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0.740510880947113
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