Publication Type:

Journal Article

Source:

Expert Systems with Applications, Volume 39, Number 11, p.10160 - 10176 (2012)

URL:

http://www.sciencedirect.com/science/article/pii/S095741741200379X

Keywords:

integration, Optimization, Particle swarm optimization/intelligence, Supply chain management

Abstract:

In today’s globalization, the success of an industry is dependent on cost effective supply chain management under various markets, logistics and production uncertainties. Uncertainties in the supply chain usually decrease profit, i.e. increase total supply chain cost. Demand uncertainty and constraints posed by the every echelon are important factors to be considered in the supply chain design operations. Optimization is no longer a luxury but has become the order of the day. This paper specifically deals with the modeling and optimization of a three echelon supply chain network using the particle swarm optimization/intelligence algorithms.

Cite this Research Publication

R. S. Kadadevaramath, Chen, J. C. H., B. Shankar, L., and Rameshkumar, K., “Application of Particle Swarm Intelligence Algorithms in Supply Chain Network Architecture Optimization”, Expert Systems with Applications, vol. 39, pp. 10160 - 10176, 2012.

207
PROGRAMS
OFFERED
6
AMRITA
CAMPUSES
15
CONSTITUENT
SCHOOLS
A
GRADE BY
NAAC, MHRD
8th
RANK(INDIA):
NIRF 2018
150+
INTERNATIONAL
PARTNERS