Material management in decentralized supply chains
Operations Research
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Comparison between Genetic Algorithms and Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Proceedings of the 35th conference on Winter simulation: driving innovation
Designing And Managing The Supply Chain
Designing And Managing The Supply Chain
Trade-offs Between Customer Service and Cost in Integrated Supply Chain Design
Manufacturing & Service Operations Management
A multi-echelon inventory management framework for stochastic and fuzzy supply chains
Expert Systems with Applications: An International Journal
Optimizing reverse logistic costs for recycling end-of-life electrical and electronic products
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Particle Swarm Optimization to Design Ideotypes for Sustainable Fruit Production Systems
International Journal of Swarm Intelligence Research
Hi-index | 12.05 |
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.