Title: Performance analysis of multi-echelon supply chain network through new DSS optimiser

Authors: Rajeshwar S. Kadadevaramath

Addresses: Department of Mechanical Engineering, PSG College of Technology, Peelamedu, Coimbatore – 641004, India

Abstract: Network modelling becomes more complex as the dimensions and scope of the supply chain expand. Uncertainties in the supply chain usually increase the variance of profit or cost to the company, increasing the likelihood of total supply chain cost. Demand uncertainty and constraints posed by every echelon are important factors to be considered in the supply chain design operations. This paper specifically deals with the modelling and optimisation of a three echelon supply chain network using new optimisation tool, the particle swarm optimisation algorithm, which acts as collaborative design and manufacturing and distribution optimisation tool and essentially involves decision-making processes that require rigorous evaluation, comparison and selection of design and manufacturing solution alternatives and optimisation from a global perspective. Increasing design and manufacturing and distribution knowledge and supporting better collaborations among supply chain agents/partners to make intelligent decisions can result in higher profits to the organisations.

Keywords: supply chain management; SCM; particle swarm optimisation; PSO; integration; optimisation; supply chain performance; network modelling; collaborative design; manufacturing; distribution; DSS; decision support systems.

DOI: 10.1504/IJCAT.2009.028046

International Journal of Computer Applications in Technology, 2009 Vol.36 No.3/4, pp.233 - 246

Available online: 02 Sep 2009 *

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