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Fuzzy TOPSIS Method in Supplier Selection and Application in the Garment Industry

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Warianty tytułu
PL
Metoda TOPSIS- zbiorów rozmytych zastosowana do selekcji dostawców w przemyśle odzieżowym
Języki publikacji
EN
Abstrakty
EN
In today's world where intensive competition exists between enterprises, it is of great importance to work in cooperation with the right suppliers. Selection of the right suppliers is a significant factor in the success of enterprises. In the selection of the best supplier (s), the strengths and weaknesses of potential suppliers should be taken into consideration. Many qualitative and quantitative criteria are included in this selection process as well as the decision-maker. One of the issues that leaves the decision maker in a difficult position is selecting the most appropriate one from the alternatives available, as traditional methods may not produce a realistic solution in this process. However, multicriteria decision making methods facilitate the process of finding a solution and enable decision makers to reach the right decisions. In this study, the fuzzy TOPSIS method, which is one of the multi-criteria decision making methods, is used in this problem area to select the most appropriate supplier of garment 'X' operating in Turkey. It is detected through analyses conducted in line with the results obtained. The ranking of the three supplier firms determined by firm X are as follows in terms of closeness index values: supplier 1, supplier 3 and supplier 2.
PL
Dla uzyskania powodzenia w prowadzeniu przedsiębiorstw bardzo ważna jest współpraca z odpowiednimi dostawcami. Decyduje o tym szereg kryteriów, które powinny być wzięte pod uwagę. Wybór oparty na tradycyjnych metodach analizy może być trudny i zawodny, dletego też zaproponowano nową multikryterialną metodę doboru opartą na analizie zbiorów rozmytych. Analizę porównawczą przeprowadzono porównując trzech zróżnicowanych dostawców.
Rocznik
Strony
20--23
Opis fizyczny
Bibliogr. 12 poz.
Twórcy
autor
autor
autor
  • Turkey, Instanbul, Marmara University,, Technical Education Faculty, Department of Mechanical Education
Bibliografia
  • 1. Ghodsypour SH, O’Brien C. The Total Cost of Logistics in Supplier Selection, Under Conditions of Multiple Sourcing, Multiple Criteria and Capacity Constraint. International Journal of Production Economics 2001; 73: 15-27.
  • 2. Liu F, Hai F, Lin H. The Voting Analytic Hierarchy Process Method for Selecting Supplier. International Journal Production Economics 2005; 97: 308-317.
  • 3. Weber CA, Current JR, Desai A. An Optimization Approach to Determining the Number of Vendors to Employ. Supply Chain Management: An International Journal 2000; 2, 5: 90-98.
  • 4. Guneri AF, Yucel A, Ayyildiz G. An Integrated Fuzzy-lp Approach for a Supplier Selection Problem in Supply Chain Management. Expert Systems with Applications 2009; 36: 9223-9228.
  • 5. Bhutta KS, Huq F. Supplier Selection Problem: A Comparison of the Total Cost of Ownership and Analytic Hierarchy Process Approaches. Supply Chain Management 2002; 7, 3: 126-35.
  • 6. Dickson GW. An Analysis of Vendor Selection Systems and Decisions. Journal of Purchasing 1966; 2: 5-17.
  • 7. Erginel N, Çakmak T, Şentürk S. Determining the Preference of GSM Operators in Turkey with Fuzzy TOPSIS After Mobile Number Portability System Application. Anadolu University Journal Of Science and Technology – Applied Sciences and Engineering 2010; 11, 2: 81-93.
  • 8. Yıldız MS. Departmanlı Mağazalar: Departmanlı Bir Mağazadan Alışveriş Yapan Müşterilerin Satın Alma Davranışları ve Sosyo-Ekonomik Özelliklerinin İncelenmesi. Elektronik Sosyal Bilimler Dergisi2005; 3 (12): 87-105.
  • 9. Boran FE, Genc S, Kurt M, Akay D. A multi-criteria Intuitionistic Fuzzy Group Decision Making for Supplier Selection with TOPSIS Method. Expert Systems with Applications 2009; 36(8): 11363-11368.
  • 10. Wang J, Cheng C, Huang K. Fuzzy Hierarchical TOPSIS for Supplier Selection. Applied Soft Computing 2009; 9(1): 377-386.
  • 11. Önüt S, Kara SS, Işık E. Long Term Supplier Selection Using a Combined Fuzzy MCDM Approach: A case Study for a Telecommunication Company. Expert Systems with Applications 2009; 36(2): 3887-3895.
  • 12. Chen CT. Extensions of the TOPSIS for Group Decision-Making under Fuzzy Environment. Fuzzy Sets and Systems 2000; 114: 1-9.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPW7-0023-0050
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