Supplier Selection for A Textile Company Using The Fuzzy TOPSIS Method

Year 2016, Volume: 23 Issue: 3, 789 - 803, 28.12.2016

V. Sinem Arıkan Kargı

https://doi.org/10.18657/yonveek.281965

Cited By: 2

Abstract

The rapid changes that occur nowadays
increase the uncertainties around companies and make the decision process
harder. The problems encountered in real life predominantly have complex
structures and depend on multiple criteria and alternatives. For that reason,
fuzzy and multiple-criteria decision making methods are gaining importance. The
aim of this study is to help a textile company, which produces shirt-making
fabric, choose the most suitable yarn supplier from a number of alternatives.
To solve the company’s problem in choosing the right supplier, the fuzzy TOPSIS
method was proposed in order to handle the linguistic variables used by the
decision makers. In the study, the criteria determined by the decision makers
were taken into consideration and three suppliers were evaluated to identify
the most suitable one.     

Keywords

Fuzzy Sets, Fuzzy TOPSIS, Selecting Supplier in Fuzzy Environment, Textile

Bir Tekstil Firmasında Bulanık TOPSIS Yöntemiyle Tedarikçi Seçimi

Abstract

          Günümüzde yaşanan hızlı değişim, işletmelerin
çevresindeki belirsizlikleri arttırmış, karar verme işlemini de
zorlaştırmıştır. Gerçek hayatta karşılaşılan problemlerin yapısı çoğunlukla
karmaşık aynı zamanda birden çok kriter ve alternatifi içermektedir. Bu nedenle
bulanık çok kriterli karar verme yöntemlerinin kullanılması önem kazanmıştır.
Çalışmamızın amacı gömleklik kumaş üretimi yapan bir tekstil işletmesinin
kullanacağı ipliğin alternatif tedarikçileri arasından en uygun olanının
seçimine yardımcı olmaktır. İşletmenin tedarikçi seçim problemine karar
vericilerin sözel değerlendirmelerinde yer alan belirsizliği ele alabilmek için
bulanık TOPSIS yöntemi önerilmiştir. Çalışmada, karar vericiler tarafından
belirlenen kriterler göz önüne alınarak üç tedarikçi firma arasından işletme
için en uygun tedarikçi firma belirlenmeye çalışılmıştır.

Keywords

Bulanık Kümeler, Bulanık TOPSIS, Bulanık Ortamda Tedarikçi Seçimi, Tekstil

References

• Ashrafzadeh, M., Rafiei,F.M., Isfahani,N.M.and Zare,Z.(2012). Application of Fuzzy TOPSIS Method For the Selection of Warehouse Location: A Case Study, Interdisciplinary Journal Of Contemporary Research In Business, 3(9):655-671.
• Benitez,J.M., Martin, J.C., Roman,C.(2007).Using Fuzzy Number For Measuring Quality Of ServiceIn The Hotel Industry, Tourism Management, 28(2),544-555.
• Chen-Tung, C.(2000). Extensions Of The TOPSIS For Group Decision-Making Under Fuzzy Environment, Fuzzy Sets and Systems, 114(1),1-9.
• Chen-Tung,C., Ching-Torng,L., Fn Huang, S.(2006). A Fuzzy Approach For Supplier Evaluation And Selection In Supply Chain Management. International Journal Of Production Economics,102(2), 289-301.
• Elmas, Ç. (2011).Yapay Zekâ Uygulamaları, Ankara: Seçkin.
• Hohle, U. and Rodahaugh, S. E. (1999). Mathematics Of Fuzzy Sets, Logic, Topology And Measure Theory, USA: Kluwer Academic
• Jahanshahloo, G.R.-Lotfi, Hosseinzadeh F. , Izadikhah M. (2006). Extension Of The TOPSIS Method For Decision Making Problems With Fuzzy Data, Applied Mathematics And Computation, 181,1544-1551
• Kelemenis, A. and Askounis, D. (2010). A New TOPSIS-Based Multi-Criteria Approach To Personel Selection, Expert Systems with Applications, 37(7), 4999-5008
• Mahmoodzadeh,S.,Shahrabi, J.,Pariazar,M. and. Zaeri M. S.(2007). Project Selection by Using Fuzzy AHP and TOPSIS Technique, International Journal of Social, Management, Economics and Business Engineering 1(6): 301-306.
• Matin, H.Z.,Fathi, M.R, Zarchi,M.K ve Azizollahi,S.(2011) The Application of Fuzzy TOPSIS Approach To Personnel Selection For Padir Company,Iran, Journal of Management Research, 3(2),1-13.
• Öztürk,A.,Ertuğrul,İ. ve Karakaşoğlu,N.(2008). “Nakliye Firması Seçiminde Bulanık AHP ve Bulanık TOPIS Yöntemlerinin Karşılaştırılması, Marmara Üniversitesi İ.İ.B.F dergisi, 25(2):785-824.
• Shih, H., Yuan, W. Lee, E. (2001). Group Decision Making for TOPSIS. IEEE, 3 (1),2712-2717.
• Ta-Chung,C. (2002). Facility Location Selection Using Fuzzy TOPSIS Under Group Decisions. International Journal Of Uncertainty, Fuzziness And Knowledge- Based Systems, 10 (6), 687-701.
• Tiryaki, F. and Ahlatcioglu, M. (2005). Fuzzy Stock Selection Using a New Fuzzy Ranking and Weighting Algorithm, Applied Mathematics and Computation ,170 (1), 144–157.
• Wang, T.C and Chang,T.H (2007). Application of TOPSIS in Evaluating Initial Training Aircraft Under a Fuzzy Environment, Expert Systems with Applications, 33(4),870-880
• Wang,Y.J. (2008). Applying FMCDM to Evaluate Financial Performance of Domestic Airlines in Taiwan”, Expert Systems with Applications, 34(3),1837-1845Zadeh, L.A. (1965). Fuzzy Sets, Information and Control, 8: 338–353.