Modelling and analysis of multiechelon supply chain architectures using particle swarm optimization algorithms

Abstract

In 21st century particularly with the globalization of the world newlineeconomy and revolutionary developments of information technology the newlinecritical challenge to manufacturing enterprises is to become more flexible newlineresponsive and quickly adapt to the environmental changes under a dynamic newlineand uncertain business environment Moreover these changes generally newlinereflect on their supply chain The ability to manage the complete Supply newlineChain NetworkSCN architecture and to optimize decisions is increasingly newlinebeing recognized as a crucial competitive factor in order to make good newlinedecisions within a SCN architecture newline newline