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Optimization of A Five Echelon Supply Chain Network using Particle Swarm Intelligence Algorithms

Publication Type : Journal Article

Publisher : International Journal of Innovative Technology and Exploring Engineering,

Source : International Journal of Innovative Technology and Exploring Engineering, Volume 8, Issue 9 (2019)

Url : https://www.ijitee.org/wp-content/uploads/papers/v8i9/I8594078919.pdf

Keywords : Particle swarm intelligence algorithm, Supply chain management.

Campus : Coimbatore

School : School of Engineering

Department : Mechanical Engineering

Year : 2019

Abstract : Abstract: Technology has shrunk the global markets and information is accessible very quickly and effortlessly. Business organizations world over concentrate on their production systems to improve the quality of the end product, well distribute the product and optimize cost of resources. Transportation cost, inventory carrying cost and shortage costs constitute the major costs in cost of distribution. A competent supply chain always strives to manufacture the right quantity of end products and hold a minimum inventory across the entire supply chain. In thecurrent paper, a five echelon supply chain model is developed and it is optimized using particle swarm intelligence algorithm.

Cite this Research Publication : Sathishkumar V. R. and Dr. Anbuudayasankar S. P., “Optimization of a five echelon supply chain network using particle swarm intelligence algorithms”, International Journal of Innovative Technology and Exploring Engineering, vol. 8, no. 9, 2019

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