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Growing Science » International Journal of Industrial Engineering Computations » A note on “An alternative multiple attribute decision making methodology for solving optimal facility layout design selection problems”

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International Journal of Industrial Engineering Computations
ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 3 Issue 3 pp. 519-524, 2012

A note on “An alternative multiple attribute decision making methodology for solving optimal facility layout design selection problems” Pages 519-524 Right click to download the paper Download PDF

Authors: RV Rao

📋 Author Affiliations:
R. Venkata Rao (Department of Mechanical Engineering, S. V. National Institute of Technology, Ichchanath, Surat, Gujarat-395 007, India)
doi 10.5267/j.ijiec.2012.01.002
Crossmark
5 Source: Scopus
📊 CrossRef: 2 Source: CrossRef

🔑 Keywords: Facility layout design, Multiple attribute decision making, Preference selection index

Abstract: A paper published by Maniya and Bhatt (2011) (An alternative multiple attribute decision making methodology for solving optimal facility layout design selection problems, Computers & Industrial Engineering, 61, 542-549) proposed an alternative multiple attribute decision making method named as “Preference Selection Index (PSI) method” for selection of an optimal facility layout design. The authors had claimed that the method was logical and more appropriate and the method gives directly the optimal solution without assigning the relative importance between the facility layout design selection attributes. This note discusses the mathematical validity and the shortcomings of the PSI method.

How to cite this paper
APA: Rao, R. (2012). A note on “An alternative multiple attribute decision making methodology for solving optimal facility layout design selection problems”. International Journal of Industrial Engineering Computations, 3(3), 519-524.
Chicago/Turabian: Rao, R. 2012. "A note on “An alternative multiple attribute decision making methodology for solving optimal facility layout design selection problems”." International Journal of Industrial Engineering Computations 3, no. 3 (2012): 519-524.
AMA: Rao, R. A note on “An alternative multiple attribute decision making methodology for solving optimal facility layout design selection problems”. International Journal of Industrial Engineering Computations. 2012;3(3):519-524.

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Kuo, Y., Yang, T., & Huang, Gaun-Wei (2008). The use of grey relational analysis in solving multiple attribute decision making problems. Computers & Industrial Engineering, 55, 80–93.

Maniya, K., & Bhatt, M. G. (2010). A selection of material using a novel type decision-making method: Preference selection index method. Materials and Design, 31(4), 1785–1789.

Maniya, K., & Bhatt, M. G. (2011). An alternative multiple attribute decision making methodology for solving optimal facility layout design selection problems. Computers & Industrial Engineering, 61, 542-549.

Rao, R.V. (2007). Decision making in the manufacturing environment using graph theory and
fuzzy multiple attribute decision making methods. London: Springer-Verlag.

Rao, R. V., & Patel, B.K. (2010). Subjective and objective integrated multiple attribute decision making method for material selection. Materials and Design, 31(10), 4738-4747.

Rao, R. V., Patel, B.K., & Parnichkun, M. (2011). Industrial robot selection using a novel decision making method. Robotics & Autonomous Systems, 59(6), 367-375.

Saaty, T.L. (2000). Fundamentals of decision making and priority theory with the AHP. Pittsburg: RWS Publications.

Shannon, C.E. (1948). A mathematical theory of communication. Bell Systems and Technology Journal, 27, 379–423.

Yang, T., & Hung, C. (2007). Multiple-attribute decision making methods for plant layout design problem. Robotics and Computer-Integrated Manufacturing, 23, 126–137.

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Journal: International Journal of Industrial Engineering Computations | Year: 2012 | Volume: 3 | Issue: 3 | Views: 2755 | Reviews: 0

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