Research Article

A Composite Weight based Multiple Attribute Decision Support System for the Selection of Automated Guided Vehicles

by  Vishram B. Sawant, Suhas S. Mohite
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 70 - Issue 19
Published: May 2013
Authors: Vishram B. Sawant, Suhas S. Mohite
10.5120/12173-8222
PDF

Vishram B. Sawant, Suhas S. Mohite . A Composite Weight based Multiple Attribute Decision Support System for the Selection of Automated Guided Vehicles. International Journal of Computer Applications. 70, 19 (May 2013), 8-16. DOI=10.5120/12173-8222

                        @article{ 10.5120/12173-8222,
                        author  = { Vishram B. Sawant,Suhas S. Mohite },
                        title   = { A Composite Weight based Multiple Attribute Decision Support System for the Selection of Automated Guided Vehicles },
                        journal = { International Journal of Computer Applications },
                        year    = { 2013 },
                        volume  = { 70 },
                        number  = { 19 },
                        pages   = { 8-16 },
                        doi     = { 10.5120/12173-8222 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2013
                        %A Vishram B. Sawant
                        %A Suhas S. Mohite
                        %T A Composite Weight based Multiple Attribute Decision Support System for the Selection of Automated Guided Vehicles%T 
                        %J International Journal of Computer Applications
                        %V 70
                        %N 19
                        %P 8-16
                        %R 10.5120/12173-8222
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes a decision support system which integrates the objective weights of importance of the attributes as well as the subjective preferences of the decision maker to decide the composite weights of importance of the attributes. Using fuzzy set theory the qualitative attributes are converted into the quantitative attributes. Based on this model, a decision support system AGVSEL is developed for the selection of AGVs. AGVs are ranked by using the technique for order preference by similarity to ideal solution (TOPSIS), block TOPSIS and modified synthetic evaluation method (M-TOPSIS). The effectiveness of the support system is demonstrated with an illustrative example. The computational results obtained enable evaluation and selection of an appropriate AGV. Sensitivity analysis reveals that at a moderate value of interpolating factor rank transition takes place for topmost position thereby achieving better insight into the complex interplay of subjective and objective weights. Finally, the results of the proposed approach are compared with the results obtained by published methods. Thus, the proposed weight method with AGVSEL system improves decision making in MADM environment.

References
  • Lothar S. , Sebastian B. , & Stefan B. , Automated Guided Vehicle Systems: a Driver for Increased Business Performance In Proceedings of the International MultiConference of Engineers and Computer Scientists 2008 Vol II IMECS 2008.
  • Chan F. T. S. , Ip R. W. L. , & Lau H. , Integration of expert system with analytic hierarchy process for the design of material handling equipment selection system, Journal of Materials Processing Technology, (2001) 116:137-145.
  • Fonseca D. J. , Uppal G. ,& Greene T. J. , A knowledge-based system for conveyor equipment selection. , Expert Systems with Applications, (2004) 26:615-623.
  • Kulak O. , A decision support system for fuzzy multiattribute selection of material handling equipments. , Expert Systems with Applications, (2005) 29:310-319.
  • Chakraborthy S. , & Banik D. , Design of a material handling equipment selection model using analytic hierarchy process. The International Journal of Advanced Manufacturing Technology, (2006) 28:1237-1245.
  • Da?gdeviren M. , Decision making in equipment selection: an integrated approach with AHP and PROMETHEE. Journal of Intelligent Manufacturing, (2008) 19:397-406.
  • I_C¸ , Yusuf Tansel, & Yurdakul, M. Development of a decision support system for machining center selection. , Expert Systems with Applications, (2009) 36:3505-3513.
  • Tuzkaya G. , G?ulsun B. , Kahraman C. , & Ozgen D. , An integrated fuzzy multi-criteria decision making methodology for material handling equipment selection problem and an application. Expert Systems with Applications, (2010) 37:2853-2863.
  • Maniyaa K. D. , and Bhatt M. G. , A multi-attribute selection of automated guided vehicle using the AHP/M-GRA technique. International Journal of Production Research, (2011) 49: 6107-6124.
  • Hwang C. L. , Yoon K. ,Multiple Attribute Decision Making Methods and Applications, Springer, Berlin, Heidelberg, 1991.
  • Saaty, T. L. , The Analytic Hierarchy Process, McGraw Hill, New York, 1980.
  • Saaty, T. L. , How to make a decision: the analytic hierarchy process, Interfaces ,(1994) 24(6):1943.
  • Shannon, C. E. , & Weaver W. , The Mechanical Theory of Communication. , University of Illions Press, 1947.
  • Shanian A. , & Savadogo O. , TOPSIS multiple-criteria decision support analysis for material selection of metallic bipolar plates for polymer electrolyte fuel cell. Journal of Power Sources, (2006) 159: 1095-1104.
  • Deng H. , Yeh C. H. ,& Willis R. J. , Inter-company comparison using modified TOPSIS with objective weights. Computers and Operations Research, (2000) 27: 963-973.
  • Ren, L. , Y. Zhang, Y. Wang & Z. Sun. , Comparative Analysis of a Novel M-TOPSIS Method and TOPSIS, Applied Mathematics Research eXpress, (2007) Vol. 7, Article ID abm005, 10 pages, doi:10. 1093/amrx/abm005.
  • I_C¸ , Yusuf Tansel, & Yurdakul, M. , Development of a quick credibility scoring decision support system using fuzzy TOPSIS. Expert Systems with Applications, (2010) 37:567-574.
  • Feng, C. , & Chen, C. , The determination of criteria weights compromised weighting method. Traffic and Transportation, (1992) 14: 51-67.
  • Ustinovichius L. , Zavadskas E. K. & Podvezko V. , Application of a quantitative multiple criteria decision making (MCDM-1) approach to the analysis of investments in construction. Control and Cybernetics, (2007) 36(1) 251–268.
  • Kong F. & Liu H. , Applying fuzzy analytic hierarchy process to evaluate success factors of e-commerce. International Journal of Information and System Sciences, (2005) 1(3-4) 406–412.
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Multiple attribute decision making automated guided vehicle decision support system TOPSISifx

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