Journals / Anadolu Üniversitesi Sosyal Bilimler Dergisi / 2013 / Cilt: 13 - Sayı: 3

Use of fuzzy TOPSIS method in supplier selection decision and an application

Tedarikçi seçim kararlarında bulanık TOPSIS yönteminin kullanımı ve bir uygulama

Pages
155–168
Publication Date
2022-10-11
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this study, the supplier selection problem of operating in the textile sector en- tity which is engaged in contract manufacturing has been evaluated via Fuzzy TOPSIS (Fuzzy Technique for Order Preference by Similarity to Ideal Solution) and provided decision support to the managers.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Nowadays, the rivalry is among supply chains but not among the companies.
📊
Key Findings & Data:The survival of the companies at rough rivalry conditions depend upon to the study with the most accurate and most reliable supplier.
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Conclusion & Impact:In this study, the supplier selection problem of operating in the textile sector en- tity which is engaged in contract manufacturing has been evaluated via Fuzzy TOPSIS (Fuzzy Technique for Order Preference by Similarity to Ideal Solution) and provided decision support to the managers.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Nowadays, the rivalry is among supply chains but not among the companies. The achievements of the compa- nies are directly proportional to the relationships which are established with the suppliers’ long-term based and mutual trust. The survival of the companies at rough rivalry conditions depend upon to the study with the most accurate and most reliable supplier. In this res- pect, the decision of supplier selection decision exhibits of vital importance. In order to solve the problems of supplier selection, a multi-criteria decision-making techniques are utilized. These techniques, especially taken into consideration the negative effects of uncer- tainty on work-life, present more specific and accurate solutions to the companies. In this study, the supplier selection problem of operating in the textile sector en- tity which is engaged in contract manufacturing has been evaluated via Fuzzy TOPSIS (Fuzzy Technique for Order Preference by Similarity to Ideal Solution) and provided decision support to the managers.

Özet

Günümüzde rekabet firmalar arasında değil tedarik zincirleri arasındadır. Firmaların başarıları tedarikçi- lerle kurdukları uzun süreli ve karşılıklı güvene dayalı ilişkilerle doğru orantılıdır. Firmaların sert rekabet ko- şullarında ayakta kalabilmeleri en doğru ve en güveni- lir tedarikçi ile çalışmalarına bağlıdır. Bu doğrultuda tedarikçi seçim kararı hayati bir önem taşımaktadır. Tedarikçi seçimi problemlerinin çözümünde çok kriter- li karar verme tekniklerinden yararlanılabilmektedir. Bu teknikler, özellikle belirsizliğin iş yaşamı üzerindeki olumsuz etkilerini de göz önünde bulundurduğu için firmalara daha spesifik ve doğru çözümler sunmak- tadır. Çalışmada tekstil sektöründe faaliyette bulu- nup büyük firmalara fason üretim yapan bir üretim işletmesinin tedarikçi seçim problemi bulanık TOP- SIS (Fuzzy Technique for Order Preference by Simila- rity to Ideal Solution) yöntemiyle değerlendirilmiş ve yöneticilere karar desteği sağlanmıştır.

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Cite This Article

VATANSEVER, K. (2022). Use of fuzzy TOPSIS method in supplier selection decision and an application. Anadolu Üniversitesi Sosyal Bilimler Dergisi, Cilt: 13 - Sayı: 3, 155–168. https://ajindex.com/articles/438799

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References (13)

  1. Akarte, M.M., Surendra, N.V., Ravi, B., Rangaraj, N. (2001). Web Based Casting Supplier Evaluation Using Analytical Hierarchy Process. Journal of the Operational Research Society, 52 (5), 511–522
  2. Amid, A., Ghodsypour, S., O’Brien, C. (2009). A We- ighted Additive Fuzzy Multiobjective Model for the Supplier Selection Problem Under Price Breaks in a Supply Chain. International Journal of Produc- tion Economics, 121, 323-332
  3. Baker, R.C., Talluri, S. (1997). A Closer Look at the Use of DEA for Technology Selection. Computers and Industrial Engineering, 32 (1), 101–108
  4. Baykaşoğlu, A., Kaplanoğlu, V., Durmuşoğlu, Z.D.V., Şahin, C. (2013). Integrated Fuzzy DEMATEL and Fuzzy Hierarchical TOPSIS Methods for Truck Se- lection. Expert Systems with Applications, 40, 899- 907 Bottani, E., Rizzi, A. (2006). A Fuzzy TOPSIS Metho- dology to Support Outsourcing of Logistics Servi- ces. Supply Chain Management: An International Journal, 11/4, 294-308
  5. Bozbura, T. F., Beskese, A., Kahraman, C. (2007). Prio- ritization of Human Capital Measurement Indica- tors Using Fuzzy AHP. Expert Systems with Appli- cations, 32, 1100-1112
  6. Braglia, M., Petroni, A. (2000). A Quality Assurance- Oriented Methodology for Handling Trade-Offs in Supplier Selection. International Journal of Physi- cal Distribution and Logistics Management, 30 (2), 96–111
  7. Burton, T. (1988). JIT/Repetitive Sourcing Strategies: Tying the Knot WithYour Suppliers. Production and Inventory Management Journal, FourthQuar- ter, 29(4), 38-41
  8. Chan, F.T.S., Qi, H.J. (2003). An Innovative Perfor- mance Measurement Method for Supply Chain Management. Supply Chain Management: An In- ternational Journal, 8,( 3⁄4), 209-223
  9. Chan, F.T.S., Kumar, N. (2007). Global Supplier De- velopment Considering Risk Factors Using Fuzzy Extended AHP-Based Approach. OMEGA – In- ternational Journal of Management Science, 35 (4), 417–431
  10. Chen, C.T. (2000). Extensions of the TOPSIS for Gro- up Decision Making Under Fuzzy Environment. Fuzzy Sets and Systems, 114, 1-9
  11. Chen, C.T., Lin, C.T., Huang, S.F. (2006). A Fuzzy Approach for Supplier Evaluation and Selection in Supply Chain Management. International Journal of Production Economics, 102, 289-301
  12. Chen, Y.J. (2011). Structured Methodology for Supp- lier Selection and Evaluation in a Supply Chain. Information Sciences, 181(9), 1651-1670
  13. Cheng, J.Z., Chen, P.T., Yu, H.C.D. (2005). Establishing a Man Access Strategy for Future Broadband Servi- ce: A Fuzzy MCDM Analysis of SONET/SDH and Gigabit Ethernet