Manufacturing Technology Today

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Supply Chain Network Modeling and Optimization Using Swarm Intelligence


Affiliations
1 Dept. of Mechanical Engg., PSG College of Technology, Coimbatore, India
2 Dept. of Mechanical Engg., Amritha School of Engg., Ettimadai, Coimbatore, India
3 Dept. of Indl. Engg. & Management, Siddaganga Institute of Technology, Tumkur-572103, India
     

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In today's competitive world, the success of an industry is contingent upon the management of its supply chain. In order to stay competitive and continue to subsist they need to be better suited to handle fluctuations in an ever-changing market than their competitors. World class organizations now realize that non-integrated manufacturing processes, non-integrated distribution processes and poor relationship with suppliers and customers are inadequate for their success. Supply chains encompass a series of steps that add value through time, place, and material transformation. Each manufacturer or distributor has some subset of the supply chain that it must manage and run profitably and efficiently to survive and grow. 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 four-stage supply chain using the Particle Swarm Optimization algorithm.
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  • Supply Chain Network Modeling and Optimization Using Swarm Intelligence

Abstract Views: 200  |  PDF Views: 0

Authors

Rajeshwar Kadadevaramath
Dept. of Mechanical Engg., PSG College of Technology, Coimbatore, India
K. M. Mohanasundaram
Dept. of Mechanical Engg., PSG College of Technology, Coimbatore, India
K. Rameshkumar
Dept. of Mechanical Engg., Amritha School of Engg., Ettimadai, Coimbatore, India
B. Lathashankar
Dept. of Indl. Engg. & Management, Siddaganga Institute of Technology, Tumkur-572103, India

Abstract


In today's competitive world, the success of an industry is contingent upon the management of its supply chain. In order to stay competitive and continue to subsist they need to be better suited to handle fluctuations in an ever-changing market than their competitors. World class organizations now realize that non-integrated manufacturing processes, non-integrated distribution processes and poor relationship with suppliers and customers are inadequate for their success. Supply chains encompass a series of steps that add value through time, place, and material transformation. Each manufacturer or distributor has some subset of the supply chain that it must manage and run profitably and efficiently to survive and grow. 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 four-stage supply chain using the Particle Swarm Optimization algorithm.