Title: Profit optimisation in three echelon supply chain revenue management through new heuristic optimiser

Authors: R.S. Kadadevaramath, P.S.S. Prasad, K.M. Mohanasundaram, E.A. Immanuel, K. Rameshkumar

Addresses: Department of Mechanical Engineering, PSG College of Technology, Coimbatore 641004, Tamil Nadu, India. ' Department of Mechanical Engineering, PSG College of Technology, Coimbatore 641004, Tamil Nadu, India. ' Karpagam College of Engineering, Coimbatore 641032, Tamil Nadu, India. ' Engineering Technology Management, University of Texas, 80 Fort Brown St Brownsville, TX 78520, USA. ' Department of Mechanical Engineering, Amrita School of Engineering, Ettimadai, Coimbatore 641105, Tamil Nadu, India

Abstract: In recent years, many of the developments in supply chain revenue management are connected to the need of information of efficient supply chain flow; modelling and optimisation, are most important in order to maximise the profit of supply chain because the cost of material, manufacturing and distribution and inventory accounts for 70-80% value of the product. Hence, tactical supply chain design has become a major challenge for firms so as to improve the revenue of the organisation. Particle swarm optimisation is used to optimise the supply chain operations with the objective of maximising the profit of the supply chain revenue.

Keywords: PSO; particle swarm optimisation; penalty parameters; penalty terms; revenue management; SCM; supply chain management; supply chain design; supply chain revenue.

DOI: 10.1504/IJRM.2009.023139

International Journal of Revenue Management, 2009 Vol.3 No.1, pp.79 - 101

Published online: 11 Feb 2009 *

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