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İKİ AŞAMALI STRATEJİK TEDARİKÇİ SEÇİMİNİN BULANIK TOPSIS YÖNTEMİ İLE ANALİZİ

Year 2009, Issue: 26, - , 20.06.2015

Abstract

It is very important decision for businesses to select supplier by a long-term cooperation way. Today’s competition environment, making this desicion in groups show importance in terms of decision makers evoluation. For this reason fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solutions) method which is one of the multi-criteria decision making methods, is used in this study. Fort his purpose, one of the biggest Turkish furniture companies’ suppliers are evaluated by fuzzy Topsis method to determine which supplier should be selected for cooperation. As a result of the study, Three suppliers are selected and ranking of them are determined as Supplier 1, Supplier 3 and Supplier 2

References

  • Abo-Sina, M.A., Amer, A.H. (2005) ‘‘Extensions of TOPSIS for multiobjective large-scale nonlinear programming problems’’, Applied Mathematics and Computation, Vol.162, Issue 1, pp.243-256.
  • Briggs, P., 1994, “Vendor assessment for partners in supply”, European Journal of Purchasing & Supply Management 1, 49–59.
  • Bufa, F. P. ve W. M. Jackson., 1983, “A goal programming model for purchase planning”, Journal of Purchasing and Materials Management, 19(3), pp.27–34.
  • Chen, C.T., 2000, “Extensions of the TOPSIS for group decision-making under fuzzy environment”, Fuzzy Sets and Systems, Vol. 114, pp. 1-9.
  • Chen, C.T., C.T. Lin ve S.F. Huang, 2006, “A fuzzy approach for supplier evaluation and selection in supply chain management”, International Journal of Production Economics, Vol.102, pp.289-301.
  • Chen, S.H., 1985, Ranking fuzzy numbers with maximizing set and minimizing set, Fuzzy Sets and Systems 17, pp.113–129.
  • Chen, S.J. ve Hwang, C.L., 1992, Fuzzy Multiple Attribute Decision Making Methods and Applications, Springer- Verlag, Berlin.
  • Choi, T.Y., Hartley, J.L., 1996, “An exploration of supplier selection practices across the supply chain”, Journal of
  • Operations Management 14, 333–343. Chu, T.-C. ve Lin, Y.-C., 2003, “A fuzzy TOPSIS method for robot selection”, International Journal of Advanced
  • Manufacturing Technology 21, pp.284–290. Chu, T.-C., 2002, “Facility location selection using fuzzy TOPSIS under group decisions, International Journal of
  • Uncertainty”, Fuzziness and Knowledge-Based Systems 10, pp.687–701. Chuang, M.; Shaw W., 2000 “Distinguishing the Critical Success Factors Between E-Commerce, Enterprise
  • Resource Planning and Supply Chain Management” Proceeding of International Engineering Management Conference, August 2000, New Mexico, pp.146-151.
  • Deng, H., Yeh, C.H., Willis, R.J., 2000, ‘‘Inter-company comparison using modified TOPSIS with objective weights’’, Computers & Operations Research, 27, pp. 963-973.
  • Feng, C. X., J., Wang ve J. S. Wang, 2001, “An optimization model for concurrent selection of tolerances and suppliers”, Computers & Industrial Engineering, 40, pp.15–33.
  • Ghodsypour S. H. ve C. OBrien, 2001, “The total cost of logistics in supplier, under conditions of multiple sourcing, multiple criteria and capacity constraint”, International Journal of Production Economics 2001;73:15–27.
  • Gregory, R. E., 1986, “Source selection: a matrix approach”, Journal of Purchasing and Materials Management, 22(2):24–9.
  • Hwang, C.L., Yoon, K., 1981, ‘‘Multiple Attributes Decision Making Methods and Applications’’, Springer, Berlin Heidelberg.
  • Ittner, C.D., Larcker, D.F., Nagar, V., Rajan, M.V., 1999, “Supplier selection, monitoring practices, and firm performance”, Journal of Accounting and Public Policy 18, 253–281.
  • Jee, D. ve Kang, K., 2000, “A method for optimal material selection aided with decision making theory”, Materials and Design, Vol. 21, pp. 199-206.
  • Kahraman, C., G. Büyüközkan ve N.Y. Ateş, 2007, “A two phase multi-attribute decision-making approach for new product introduction”, Information Sciences, Vol.177, pp.1567–1582.
  • Kaufmann A., M.M. Gupta, 1988, Fuzzy Mathematical Models in Engineering and Management Science, North Holland.
  • Lee, E.S, ve Li, R.L., 1988, “Comparison of fuzzy numbers based on the probability measure of fuzzy events”,
  • Computer and Mathematics with Applications 15, pp.887–896. Liang, G.-S., 1999, “Fuzzy MCDM based on ideal and anti-ideal concepts”, European Journal of Operational Research 112, pp. 682–691.
  • Liou, T.S. ve Wang, M.J.J., 1992, Ranking fuzzy numbers with integral value, Fuzzy Sets and Systems 50, pp.247.
  • Monczka, R., Trent, R., Handfield, R., 1998. Purchasing and Supply Chain Management. South-Western College Publishing, New York.
  • Narasimhan R., 1983, “An analytical approach to supplier selection”, Journal of Purchasing and Materials Management, 19(4), pp.27–32.
  • Nydick, R.L. ve R. P. Hill, 1992, “Using the analytical hierarchy process to structure the supplier selection procedure”, Journal of Purchasing and Materials Management, pp.28(2):31–6.
  • Parkan, C. ve Wu, M., 1999, “Decision-making and performance measurement models with applications to robot selection”, Computers & Industrial Engineering, Vol. 36, pp. 503-23.
  • Saghafian, S. ve Hejazi, S. R., 2005, “Multi – criteria Group Decision Making Using A Modified Fuzzy TOPSIS
  • Procedure”, International Conference on Computational Intelligence for Modelling, Control and Automation, and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, IEEE. Sarkis, J., and Talluri, S. 2002 “A Model for strategic supplier selection” The Journal of Supply Chain Management, Winter 2002, pp.18-28.
  • Sharma D. ve W. C. Benton, 1989, Srivastava R. competitive strategy and purchasing decisions. Proceedings of the annual national conference of the decision sciences institute, p. 1088–1090.
  • Shin, H., Collier, D.A., Wilson, D.D., 2000, “Supply management orientation and supplier/buyer performance”,
  • Journal of Operations Management 18, 317–333. Soukup, W. R., 1986, “Supplier selection strategies”, Journal of Purchasing and Materials Management, 23(2), pp.7–
  • Thompson, K. N., 1990, “Supplier profile analysis”, Journal of Purchasing and Materials Management, 26(1), pp.11–
  • Timmerman E., 1986, “An approach to vendor performance evaluation”, Journal of Purchasing and Materials Management, 26(4): 2–8.
  • Triantaphyllou, E. ve Lin, C.T., 1996, “Development and evaluation of five fuzzy multiattribute decision making methods”, International Journal of Approximate Reasoning, Vol. 14, pp. 281-310.
  • Tsuar, S.H., Chang, T.Y., Yen, 2002, C.H., ‘‘The evaluation of airline service quality by fuzzy MCDM’’, Tourism Management, 23, pp. 107–115.
  • Türkşen, İsmail Burhan; “Bulanık Kümeler Kuramı ve Uygulamaları”, Yöneylem Araştırması Dergisi, Cilt 4, Sayı 1, 1985, s.1-15.
  • Wang, R.C., Liang, T.F., ‘‘Application of fuzzy multi-objective linear programming to aggregate production planning’’, Computers & Industrial Engineering, 2004, 46, pp. 17–41.
  • Wang, T., Lee, H. ve Wu, C., 2007, “A Fuzzy TOPSIS Approach with Subjective Weights and Objective Weights”
  • Proceedings of the 6th WSEAS International Conference on Applied Computer Science, Hangzhou, China. April 15- Weber C. A. ve L. M. Ellram, 1993, “Supplier selection using multi-objective programming: a decision support system approach”, International Journal of Physical Distribution & Logistics Management, 23(2), pp.4–14.
  • Yoon, K.P., ve Hwang, C.L., 1995, Multiple Attribute Decision Making: An Introduction, Sage Publications, Thousand Oaks.
  • Zanakis, S.H., Solomon, A., Wishart, N. and Dublish, S., 1998, “Multi-attribute decision making: a simulation comparison of select methods”, European Journal of Operational Research, Vol. 107, pp. 507-29.

İKİ AŞAMALI STRATEJİK TEDARİKÇİ SEÇİMİNİN BULANIK TOPSIS YÖNTEMİ İLE ANALİZİ

Year 2009, Issue: 26, - , 20.06.2015

Abstract

İşletmeler açısından tedarikçi seçiminin uzun süreli işbirliği içinde olması son derece önemli bir karardır. Günümüz rekabet ortamında bu kararın verilmesi işletmede karar sahibi olan kişilerin grupça değerlendirmesi bakımından önem arz etmektedir. Bu nedenle bu çalışmada çok kriterli karar verme yöntemlerinden biri olan bulanık TOPSIS (Technique for Order Preference by Similarity to Ideal Solutions) yöntemi uygulanmıştır. Bu amaçla Türkiye’de faaliyet gösteren bir mobilya fabrikasının mevcut tedarikçilerinin değerlendirmesi yapılarak, hangi tedarikçileri ile işbirliği içinde olacağı bulanık TOPSIS yöntemi kullanılarak belirlenmiştir. Elde edilen sonuçlar doğrultusunda işletmenin belirlediği üç tedarikçisinin yakınlık indeksi bakımından sırası tedarikçi 1, tedarikçi 3 ve tedarikçi 2 şeklinde olduğu analizler sonucunda tespit edilmiştir

References

  • Abo-Sina, M.A., Amer, A.H. (2005) ‘‘Extensions of TOPSIS for multiobjective large-scale nonlinear programming problems’’, Applied Mathematics and Computation, Vol.162, Issue 1, pp.243-256.
  • Briggs, P., 1994, “Vendor assessment for partners in supply”, European Journal of Purchasing & Supply Management 1, 49–59.
  • Bufa, F. P. ve W. M. Jackson., 1983, “A goal programming model for purchase planning”, Journal of Purchasing and Materials Management, 19(3), pp.27–34.
  • Chen, C.T., 2000, “Extensions of the TOPSIS for group decision-making under fuzzy environment”, Fuzzy Sets and Systems, Vol. 114, pp. 1-9.
  • Chen, C.T., C.T. Lin ve S.F. Huang, 2006, “A fuzzy approach for supplier evaluation and selection in supply chain management”, International Journal of Production Economics, Vol.102, pp.289-301.
  • Chen, S.H., 1985, Ranking fuzzy numbers with maximizing set and minimizing set, Fuzzy Sets and Systems 17, pp.113–129.
  • Chen, S.J. ve Hwang, C.L., 1992, Fuzzy Multiple Attribute Decision Making Methods and Applications, Springer- Verlag, Berlin.
  • Choi, T.Y., Hartley, J.L., 1996, “An exploration of supplier selection practices across the supply chain”, Journal of
  • Operations Management 14, 333–343. Chu, T.-C. ve Lin, Y.-C., 2003, “A fuzzy TOPSIS method for robot selection”, International Journal of Advanced
  • Manufacturing Technology 21, pp.284–290. Chu, T.-C., 2002, “Facility location selection using fuzzy TOPSIS under group decisions, International Journal of
  • Uncertainty”, Fuzziness and Knowledge-Based Systems 10, pp.687–701. Chuang, M.; Shaw W., 2000 “Distinguishing the Critical Success Factors Between E-Commerce, Enterprise
  • Resource Planning and Supply Chain Management” Proceeding of International Engineering Management Conference, August 2000, New Mexico, pp.146-151.
  • Deng, H., Yeh, C.H., Willis, R.J., 2000, ‘‘Inter-company comparison using modified TOPSIS with objective weights’’, Computers & Operations Research, 27, pp. 963-973.
  • Feng, C. X., J., Wang ve J. S. Wang, 2001, “An optimization model for concurrent selection of tolerances and suppliers”, Computers & Industrial Engineering, 40, pp.15–33.
  • Ghodsypour S. H. ve C. OBrien, 2001, “The total cost of logistics in supplier, under conditions of multiple sourcing, multiple criteria and capacity constraint”, International Journal of Production Economics 2001;73:15–27.
  • Gregory, R. E., 1986, “Source selection: a matrix approach”, Journal of Purchasing and Materials Management, 22(2):24–9.
  • Hwang, C.L., Yoon, K., 1981, ‘‘Multiple Attributes Decision Making Methods and Applications’’, Springer, Berlin Heidelberg.
  • Ittner, C.D., Larcker, D.F., Nagar, V., Rajan, M.V., 1999, “Supplier selection, monitoring practices, and firm performance”, Journal of Accounting and Public Policy 18, 253–281.
  • Jee, D. ve Kang, K., 2000, “A method for optimal material selection aided with decision making theory”, Materials and Design, Vol. 21, pp. 199-206.
  • Kahraman, C., G. Büyüközkan ve N.Y. Ateş, 2007, “A two phase multi-attribute decision-making approach for new product introduction”, Information Sciences, Vol.177, pp.1567–1582.
  • Kaufmann A., M.M. Gupta, 1988, Fuzzy Mathematical Models in Engineering and Management Science, North Holland.
  • Lee, E.S, ve Li, R.L., 1988, “Comparison of fuzzy numbers based on the probability measure of fuzzy events”,
  • Computer and Mathematics with Applications 15, pp.887–896. Liang, G.-S., 1999, “Fuzzy MCDM based on ideal and anti-ideal concepts”, European Journal of Operational Research 112, pp. 682–691.
  • Liou, T.S. ve Wang, M.J.J., 1992, Ranking fuzzy numbers with integral value, Fuzzy Sets and Systems 50, pp.247.
  • Monczka, R., Trent, R., Handfield, R., 1998. Purchasing and Supply Chain Management. South-Western College Publishing, New York.
  • Narasimhan R., 1983, “An analytical approach to supplier selection”, Journal of Purchasing and Materials Management, 19(4), pp.27–32.
  • Nydick, R.L. ve R. P. Hill, 1992, “Using the analytical hierarchy process to structure the supplier selection procedure”, Journal of Purchasing and Materials Management, pp.28(2):31–6.
  • Parkan, C. ve Wu, M., 1999, “Decision-making and performance measurement models with applications to robot selection”, Computers & Industrial Engineering, Vol. 36, pp. 503-23.
  • Saghafian, S. ve Hejazi, S. R., 2005, “Multi – criteria Group Decision Making Using A Modified Fuzzy TOPSIS
  • Procedure”, International Conference on Computational Intelligence for Modelling, Control and Automation, and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, IEEE. Sarkis, J., and Talluri, S. 2002 “A Model for strategic supplier selection” The Journal of Supply Chain Management, Winter 2002, pp.18-28.
  • Sharma D. ve W. C. Benton, 1989, Srivastava R. competitive strategy and purchasing decisions. Proceedings of the annual national conference of the decision sciences institute, p. 1088–1090.
  • Shin, H., Collier, D.A., Wilson, D.D., 2000, “Supply management orientation and supplier/buyer performance”,
  • Journal of Operations Management 18, 317–333. Soukup, W. R., 1986, “Supplier selection strategies”, Journal of Purchasing and Materials Management, 23(2), pp.7–
  • Thompson, K. N., 1990, “Supplier profile analysis”, Journal of Purchasing and Materials Management, 26(1), pp.11–
  • Timmerman E., 1986, “An approach to vendor performance evaluation”, Journal of Purchasing and Materials Management, 26(4): 2–8.
  • Triantaphyllou, E. ve Lin, C.T., 1996, “Development and evaluation of five fuzzy multiattribute decision making methods”, International Journal of Approximate Reasoning, Vol. 14, pp. 281-310.
  • Tsuar, S.H., Chang, T.Y., Yen, 2002, C.H., ‘‘The evaluation of airline service quality by fuzzy MCDM’’, Tourism Management, 23, pp. 107–115.
  • Türkşen, İsmail Burhan; “Bulanık Kümeler Kuramı ve Uygulamaları”, Yöneylem Araştırması Dergisi, Cilt 4, Sayı 1, 1985, s.1-15.
  • Wang, R.C., Liang, T.F., ‘‘Application of fuzzy multi-objective linear programming to aggregate production planning’’, Computers & Industrial Engineering, 2004, 46, pp. 17–41.
  • Wang, T., Lee, H. ve Wu, C., 2007, “A Fuzzy TOPSIS Approach with Subjective Weights and Objective Weights”
  • Proceedings of the 6th WSEAS International Conference on Applied Computer Science, Hangzhou, China. April 15- Weber C. A. ve L. M. Ellram, 1993, “Supplier selection using multi-objective programming: a decision support system approach”, International Journal of Physical Distribution & Logistics Management, 23(2), pp.4–14.
  • Yoon, K.P., ve Hwang, C.L., 1995, Multiple Attribute Decision Making: An Introduction, Sage Publications, Thousand Oaks.
  • Zanakis, S.H., Solomon, A., Wishart, N. and Dublish, S., 1998, “Multi-attribute decision making: a simulation comparison of select methods”, European Journal of Operational Research, Vol. 107, pp. 507-29.
There are 43 citations in total.

Details

Primary Language Turkish
Journal Section Articles
Authors

Ali İhsan Özdemir This is me

Neşe Yalçin Seçme This is me

Publication Date June 20, 2015
Published in Issue Year 2009 Issue: 26

Cite

APA Özdemir, A. İ., & Seçme, N. Y. (2015). İKİ AŞAMALI STRATEJİK TEDARİKÇİ SEÇİMİNİN BULANIK TOPSIS YÖNTEMİ İLE ANALİZİ. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi(26).
AMA Özdemir Aİ, Seçme NY. İKİ AŞAMALI STRATEJİK TEDARİKÇİ SEÇİMİNİN BULANIK TOPSIS YÖNTEMİ İLE ANALİZİ. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi. June 2015;(26).
Chicago Özdemir, Ali İhsan, and Neşe Yalçin Seçme. “İKİ AŞAMALI STRATEJİK TEDARİKÇİ SEÇİMİNİN BULANIK TOPSIS YÖNTEMİ İLE ANALİZİ”. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, no. 26 (June 2015).
EndNote Özdemir Aİ, Seçme NY (June 1, 2015) İKİ AŞAMALI STRATEJİK TEDARİKÇİ SEÇİMİNİN BULANIK TOPSIS YÖNTEMİ İLE ANALİZİ. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi 26
IEEE A. İ. Özdemir and N. Y. Seçme, “İKİ AŞAMALI STRATEJİK TEDARİKÇİ SEÇİMİNİN BULANIK TOPSIS YÖNTEMİ İLE ANALİZİ”, Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, no. 26, June 2015.
ISNAD Özdemir, Ali İhsan - Seçme, Neşe Yalçin. “İKİ AŞAMALI STRATEJİK TEDARİKÇİ SEÇİMİNİN BULANIK TOPSIS YÖNTEMİ İLE ANALİZİ”. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi 26 (June 2015).
JAMA Özdemir Aİ, Seçme NY. İKİ AŞAMALI STRATEJİK TEDARİKÇİ SEÇİMİNİN BULANIK TOPSIS YÖNTEMİ İLE ANALİZİ. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi. 2015.
MLA Özdemir, Ali İhsan and Neşe Yalçin Seçme. “İKİ AŞAMALI STRATEJİK TEDARİKÇİ SEÇİMİNİN BULANIK TOPSIS YÖNTEMİ İLE ANALİZİ”. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, no. 26, 2015.
Vancouver Özdemir Aİ, Seçme NY. İKİ AŞAMALI STRATEJİK TEDARİKÇİ SEÇİMİNİN BULANIK TOPSIS YÖNTEMİ İLE ANALİZİ. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi. 2015(26).

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