Optimization of A Five-Echelon Supply Chain Network using Particle Swarm Intelligence Algorithms
V. R. Sathish Kumar1, S. P. Anbuudayasankar2

1V. R. Sathish Kumar, Department of Mechanical Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India.
2S. P. Anbuudayasankar, Department of Mechanical Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India.

Manuscript received on 26 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 2015-2022 | Volume-8 Issue-9, July 2019 | Retrieval Number: I8594078919/19©BEIESP | DOI: 10.35940/ijitee.I8594.078919

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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.
Keywords: Particle Swarm Intelligence Algorithm, Supply Chain Management.

Scope of the Article: Simulation Optimization and Risk Management