Preference Selection Index Method for Machine Selection in a Flexible Manufacturing Cell

Article Preview

Abstract:

The selection of a desirable machine is an important concern for the manufacturing firm. The selection process contains some critical selection attributes and the task of this process is to choose the desirable machine from a number of candidate machines. Then the machine selection problem is actually a multi-attribute decision making problem. This paper will develop a preference selection index method to solve the problem of machine selection in a flexible manufacturing cell. A case study is used to demonstrate that the proposed method is effective and feasible.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

290-293

Citation:

Online since:

December 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] D. Aloini, R. Dulmin and V. Mininno. A peer IF-TOPSIS based decision support system for packaging machine selection. Expert Systems with Applications, Vol. 41 (2014), p.2157–2165.

DOI: 10.1016/j.eswa.2013.09.014

Google Scholar

[2] C. Moon, M. Lee, Y. Seo and Y. H. Lee. Integrated machine tool selection and operation sequencing with capacity and precedence constraints using genetic algorithm. Computers & Industrial Engineering, Vol. 43 (2002) , p.605–621.

DOI: 10.1016/s0360-8352(02)00129-8

Google Scholar

[3] M. Yurdakul. AHP as a strategic decision-making tool to justify machine tool selection. Journal of Materials Processing Technology, Vol. 146 (2004), p.365–376.

DOI: 10.1016/j.jmatprotec.2003.11.026

Google Scholar

[4] O. Durán and J. Aguilo. Computer-aided machine-tool selection based on a Fuzzy-AHP approach. Expert Systems with Applications, Vol. 34 (2008), p.1787–1794.

DOI: 10.1016/j.eswa.2007.01.046

Google Scholar

[5] M. H. M. A. Jahromi and R. T. Moghaddam. A novel 0-1 linear integer programming model for dynamic machine-tool selection and operation allocation in a flexible manufacturing system. Journal of Manufacturing Systems, Vol. 31 (2012), p.224–231.

DOI: 10.1016/j.jmsy.2011.07.008

Google Scholar

[6] R. V. Rao: Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods. (Springer-Verlag, London 2013).

DOI: 10.1007/978-1-4471-4375-8_2

Google Scholar

[7] T. Y. Wang, C. F. Shaw and Y. L. Chen. Machine selection in flexible manufacturing cell: a fuzzy multiple attribute decision making approach. Inter J Prod Res, Vol. 38 (2000), p.2079-(2097).

DOI: 10.1080/002075400188519

Google Scholar

[8] Z. Taha and S. Rostam. A hybrid fuzzy AHP-PROMETHEE decision support system for machine tool selection in flexible manufacturing cell. J Intell Manuf, Vol. 23 (2012) pp.2137-2149.

DOI: 10.1007/s10845-011-0560-2

Google Scholar

[9] H. Chtourou, W. Masmoudi and A. Maalej. An expert system for manufacturing systems machine selection. Expert Syst Appl, Vol. 28 (2005), pp.461-467.

DOI: 10.1016/j.eswa.2004.12.007

Google Scholar

[10] F. T. S. Chan and R. Swarnkar. Ant colony optimization approach to a fuzzy goal programming model for a machine tool selection and operation allocation problem in an FMS. Robot Comput Integr Manuf, Vol. 22 (2006), pp.353-362.

DOI: 10.1016/j.rcim.2005.08.001

Google Scholar

[11] F. T. S. Chan, R. Swarnkar and M. K. Tiwari. A fuzzy goal-programming model with an artificial immune system (AIS) approach for a machine tool selection and operation allocation problem in a flexible manufacturing system. Inter J Prod Res, Vol. 43 (2005).

DOI: 10.1080/00207540500140823

Google Scholar

[12] Z. Ayag and R. G. Ozdemir. A fuzzy AHP approach to evaluating machine tool alternatives. J Intell Manuf, Vol. 17 (2006), p.179–190.

DOI: 10.1007/s10845-005-6635-1

Google Scholar

[13] R. V. Rao. Machine group selection in a flexible manufacturing cell using digraph and matrix methods. Inter J Ind Syst Eng, Vol. 1 (2006), p.502–518.

Google Scholar

[14] Y. Tansel and M. Yurdakul. Development of a decision support system for machining center selection. Expert Syst Appl, Vol. 36 (2009), pp.3505-3513.

DOI: 10.1016/j.eswa.2008.02.022

Google Scholar

[15] K. Maniya and M. G. Bhatt. A selection of material using a novel type decision-making method: Preference selection index method, Materials and Design, Vol. 31 (2010), pp.1785-1789.

DOI: 10.1016/j.matdes.2009.11.020

Google Scholar