Authors: Pattanaik, L.N.¹; Jain, P.K.¹; Mehta, N.K.²

Source: International Journal of Manufacturing Technology and Management, Volume 11, Number 2, 11 April 2007 , pp. 251-273(23)

Publisher: Inderscience Publishers

Abstract:

In this research, an evolutionary genetic algorithm based approach is proposed for designing independent machine cells in cellular manufacturing in the presence of operation based alternative process plans for parts. Manufacturing parameters, such as production volume, usage factor for process plans, machine flexibility and cell size and machine-operation compatibility in terms of a normalised rating factor are also considered during cell design. The problem is formulated as a multi-objective optimisation model and solved using a non-dominated sorting genetic algorithm (NSGA). A unique feature of the proposed method is that it takes into account the unequal efficiency of machines in performing different operations. Some new similarity and diversity measures among operations and machines are also proposed during the clustering of machines. The formation of machine cells has been treated as a minimisation of inter-cell traffic while maximising a defined efficiency function. An illustrated problem and comparisons with existing data are given.

Keywords: COMPUTING JOURNALS; Computing Science, Applications and Software; Internet and Web Services; TECHNICAL JOURNALS; Materials and Manufacturing; MANAGEMENT JOURNALS; Operational Management, Marketing and Services; Policy and Organisational Management

Document Type: Research article

DOI: http://dx.doi.org/10.1504/IJMTM.2007.013194

Affiliations: 1: Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee, Roorkee (Uttaranchal), PIN-247667, India. 2: Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee, Roorkee (Uttaranchal), PIN-247667, India

Publication date: 2007-04-11

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