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TOPSIS and fuzzy multi-objective model integration for supplier selection problem

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The problem includes the three objective functions: minimizing the total cost, the net rejected items and the inverse total value of purchasing (TVP), while satisfying capacity and demand requirement constraints. Design/methodology/approach: The model is established for supplier selection problem and later the proposed single objective model is used to calculate the optimum order quantities among the selected suppliers. A numerical example is given to illustrate how the model is applied. Findings: In this article, we proposed a single objective function to solve the fuzzy multi-item multi-objective model in order to calculate the optimum order quantities to each supplier. Practical implications: Single objective function, which is able to consider the relative importance of the goals, is proposed to solve the model. A numerical example is given to illustrate how the model is applied. Originality/value: This approach is able to help the DM evaluate the suppliers in order to find out the appropriate order to each them, and allows purchasing manager(s) to manage supply chain performance on service, cost, quality and etc. the suppliers price breaks, which depend on the sizes of order quantities, affects the selection process.
Rocznik
Strony
762--769
Opis fizyczny
Bibliogr. 18 poz., wykr., tab.
Twórcy
autor
autor
autor
autor
autor
  • Department of Mechanical and Manufacturing Engineering, University Putra Malaysia (UPM), 43400 UPM Serdang, Selangor, Malaysia, omid_jadidi56@yahoo.com
Bibliografia
  • [1] S. H. Ghodsypour, C. O'Brien, A decision support system for supplier selection using an integrated analytical hierarchy process and linear programming, International Journal of Production Economics 56-57 (1998) 199-212.
  • [2] G. Wang, S. H. Hang, J. P. Dismukes, Product-driven supply chain selection using integrated multi-criteria decision making methodology, International Journal of Production Economics 91 (2004) 1-15.
  • [3] A. A. Gaballa, Minimum cost allocation of tenders, Operational Research Quarterly 25 (1974) 389-398.
  • [4] P. S. Bender, R. W. Brawn, H. Isaac, J. F. Shapiro, Improving Purchasing Productivity at IBM with a Normative, Decision Support System Interfaces 15 (1985) 106-115.
  • [5] I. Turner, An independent system for the evaluation of contact tenders, Operational Research Society 39 (1988) 551-561.
  • [6] D. Sharma, W. C. Benton, R. Srivastava, Competitive strategy and purchasing decision, Proceedings of the Annual Conference of the Decision Science Institute, 1995, 1088-1090.
  • [7] W. C. Benton, Quantity discount decision under conditions of multiple items, multiple suppliers and resource limitations, International Journal of Production Research 29 (1991) 1953-1961.
  • [8] S. S. Chauhdry, F. G. Forst, J. L. Zydiak, Vendor selection with price breaks, European Journal of Operational Research 70 (1993) 52-66.
  • [9] E. C. Rosenthal, J. L. Zydiac, S. S. Chaudhry, Vendor selection with bundling, Decision Sciences 26 (1995) 35-48.
  • [10] S. H. Ghodsypour, A decision support system for supplier selection using an integrated analytical hierarchy process and operations research methods, Ph. D. Thesis, University of Nottingham, UK, 1996.
  • [11] S. H. Ghodsypour, C. O'Brien, An integrated method using the analytical hierarchy process with goal programming for multiple sourcing with discounted prices, Proceedings of the 14th International Conference „Production Research” ICPR, Osaka, 1997.
  • [12] P. Morlacchi, Small and medium enterprises in supply chain: A supplier evaluation model and some empirical results, Proceedings of the IFPMM Summer School, Saltzburg, 1997.
  • [13] G. D. Holt, Which contractor selection methodology?, International Journal of Project Management 16 (1998) 153-164.
  • [14] I. Erol, G. William, Jr. Ferrel, A methodology for selection problems with multiple, conflicting objectives and both qualitative and quantitative criteria, International Journal of Production Economics 86 (2003) 187-199.
  • [15] M. Kumar, P. Vart, P. Shankar, A fuzzy goal programming approach for supplier selection problem in a supply chain, Computer and Industrial Engineering 46 (2004) 69-85.
  • [16] H. J. Zimmermann, Fuzzy programming and linear programming with several objective functions, Fuzzy Sets and Systems 1 (1978) 45-55.
  • [17] A. Amid, S. H. Ghodsypour, C. O'Brien, A weighted additive fuzzy multiobjective model for the supplier selection problem under price breaks in a supply, Chain, International Journal of Production Economics (2007) (In press).
  • [18] C. L. Hwang, K. Yoon, Multiple Attribute Decision Making: Methods and Applications, Springer, Heidelberg, 1987.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWAN-0004-0039
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