Solving Multi Objective Multi Row Fixed Area Cell Layout Problems by Using Relative Importance Factors

P V Arulkumar¹, M Saravanan²

¹Department of Mechanical Engineering, Bharath Niketan Engineering College, Aundipatty, Tamilnadu, India
²Principal, Sri Subramanya College of Engineering and Technology, Palani, Tamilnadu, India

Abstract

An ideal plant layout reduces total manufacturing costs through minimized material handling costs, delay in production, backward movements, and process inventory. Economics in material handling, effective utilization of existing area, minimization of delays in production, improved the product quality, minimum investment on equipment's, eliminate the bottlenecks, better production control and better supervision are the advantages of a good plant layout. The objective of this article is to find out an optimum layout design for compare two nontraditional optimization techniques bi-objective fixed area multi row cell layout problems. The multi-objectives are minimize the total material handling cost and also minimize the number of backtracking movements. In this article Artificial Bee Colony (ABC) algorithm and Particle Swarm Optimization (PSO) algorithms are used to solve the layout problems. It also compared the results obtained from ABC and PSO techniques and concluded that the PSO algorithm gives better result for the layout problems.

Keywords

• Manufacturing system, Cellular layout, artificial bee colony algorithm, particle swarm optimization

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Cite this Article as Follows

P V Arulkumar, M Saravanan. Solving Multi Objective Multi Row Fixed Area Cell Layout Problems by Using Relative Importance Factors. International Conference on Inter Disciplinary Research in Engineering and Technology 2014. Vol. 1. Chennai: Association of Scientists, Developers and Faculties, 2014. 297-309. Print.