Title: Analysis of robust and adaptive designs for dynamic part population

Authors: Christiansun Antony Alumkal, G. Prabhakara Rao, V. Madhusudanan Pillai

Addresses: Department of Mechanical Engineering, National Institute of Technology Calicut, Calicut-673601, Kerala, India. ' Department of Mechanical Engineering, Late N B Chhabada Institute of Engineering and Technology, Satara-415020, Maharashtra, India. ' National Institute of Technology Calicut, Calicut-673601, Kerala, India

Abstract: Two types of cellular system designs are possible for a production environment consisting of dynamic part population: adaptive and robust layouts. Cellular manufacturing system designs in literature show that some of the cells formed have large number of machines compared to other cells. This paper is mainly concerned with developing suitable mathematical model so that more or less same number of machines in every cell is possible for the adaptive and robust designs. A genetic algorithm-based solution procedure is used to solve the problem. The suggested designs are giving less variation in cell size than adaptive and robust designs in literature.

Keywords: dynamic part population; robust layout; adaptive layout; genetic algorithms; adaptive design; robust design; cellular manufacturing; manufacturing cells; mathematical modelling; cell size; cell layout; cell design.

DOI: 10.1504/IJBPSCM.2011.041375

International Journal of Business Performance and Supply Chain Modelling, 2011 Vol.3 No.2, pp.124 - 140

Published online: 30 Sep 2014 *

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