Bi‐criteria allocation of customers to warehouses using a particle swarm optimisation
Source: International Journal of Operational Research, Volume 9, Number 1, 1 August 2010 , pp. 65-81(17)
Publisher: Inderscience Publishers
Abstract: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.
Document Type: Research Article
Affiliations: 1: Department of Production Engineering, National Institute of Technology, Tiruchirappalli 620015, Tamilnadu, India. 2: Department of Production Engineering, National Institute of Technology, Tiruchirappalli 620015, Tamilnadu, India
Publication date: August 1, 2010