Material management in decentralized supply chains
Operations Research
Computational intelligence PC tools
Computational intelligence PC tools
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Swarm intelligence
Comparison between Genetic Algorithms and Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
A Supply Network Model with Base-Stock Control and Service Requirements
Operations Research
Maufacturing supply chain applications 1: supply chain multi-objective simulation optimization
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Proceedings of the 35th conference on Winter simulation: driving innovation
Optimization using particle swarms with near neighbor interactions
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Expert Systems with Applications: An International Journal
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In today's global market, managing the entire Supply Chain (SC) becomes a key factor for the successful business and businesses have to be more adaptive to change. World class organisations now realise that non-integrated manufacturing processes, non-integrated distribution processes and poor relationship with suppliers and customers are inadequate for their success. Recently, however, there has been increasing attention placed on the performance, design and analysis of the SC as a whole. This paper specifically deals with the modelling and optimisation of a four-stage SC using the Particle Swarm Optimisation (PSO) algorithm and the problem was solved for optimal distribution of components and products made by them using PSO algorithm. And it was found that the PSO algorithm has been successfully applied to solve problems in SC network optimisation and gives quality results.