Research Article
Year 2019,
Volume: 29 Issue: 4, 344 - 352, 31.12.2019
Abstract
References
- 1. Ghodsypur, S. H., & O’Brien, C., 1998, “A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming”, International Journal of Production Economics, 56-57, 199-212.
- 2. Shin, H., Collier, D. A., & Wilson, D. D., 2000, “Supply management orientation and supplier/buyer performance”, Journal of Operations Management, 18, 317–333.
- 3. Chen, Y. J., 2011, “Structured Methodology for Supp¬lier Selection and Evaluation in a Supply Chain”, Information Sciences, 181 (9), 1651-1670.
- 4. Ding, H., Benyoucef, L., & Xie, X, 2005, “A Simulation Optimization Methodology for Supplier Selection Problem”, International Journal of Computer Integ¬rated Manufacturing, 18 (2-3), 210-224.
- 5. Monczka, R., Trent, R., & Handfield, R., 1998, “Purchasing and Supply Chain Management”, South-Western College Publishing, New York.
- 6. Sarkis, J., & Talluri, S, 2002, “A Model for Strategic Supplier Selection”, Journal of Supply Chain Mana¬gement, 38 (1), 18-28.
- 7. Ho, W., Xu, X., & Dey, P. K., 2010, “Multi-criteria decision making approaches for supplier evaluation and selection: a literature review”, European journal of Operational Research, 202 (1), 16-24.
- 8. De Boer, L., Labro, E., & Morlacchi, P., 2001, “A Review of Methods Supporting Supplier Selection”, Europe¬an Journal of Purchasing and Supply Management, 7 (2), 75-89.
- 9. 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 (2), 289-301.
- 10. Chen S. J., & Hwang C. L., 1992, “Fuzzy Multiple Attribute Decision Making: Methods and Applications” Springer-Verlag, Berlin.
- 11. Delgado, M., Verdegay, J. L., & Vila, M. A., 1992, “Linguistic decision-making models”, International Journal of Intelligent Systems, 7, 479–492.
- 12. Hwang, C. L., & Yoon, K., 1981, “Multiple attribute decision making, methods and applications:186 (Lecture Notes in Economics and Mathematical Systems)”, Springer-Verlag, New York.
- 13. Herrera, F., & Herrera-Viedma, E., 2000, “Linguistic decision analysis: Steps for solving decision problems under linguistic information”, Fuzzy Sets and Systems, 115, 67-82.
- 14. Herrera, F., Herrera-Viedma, E., & Verdegay, J. L., 1996, “A model of consensus in group decision making under linguistic assessments”, Fuzzy Sets and Systems, 78, 73-87.
- 15. Chen, C. T., 2000, “Extensions of the TOPSIS for Gro¬up Decision Making Under Fuzzy Environment”, Fuzzy Sets and Systems, 114: 1-9.
- 16. 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”, Technovation, 25 (5), 557-567.
- 17. Saghafian, S., & Hejazi, R., 2005, “Multi Criteria Group Decision Making Using A Modified Fuzzy TOPSIS Procedure”, Proceedings of the 2005 International Conference on Computational Intelligence for Modelling, Control and Automation, and International Conference on Intelligent Agents, Web Technologies and Internet Commerce CIMCA-IAWTIC’05, IEEE. (215-221), Vienna, Austria.
- 18. Zavadskas E. K., Turskis Z., & Tamosaitiene J., 2008, “Construction Risk Assessment of Small Scale Objects by Applying the TOPSIS Method with Attributes Values Determined at Intervals”, The 8th International Conference Reliability and Statistic in Transportation and Communication, Latvia.
- 19. Hung C. C., & Chen L. H., 2009, “A Fuzzy TOPSIS Decision Making Model with Entropy Weight under Intuitionistic Fuzzy Environment”, Proceedings of the International Multi-Conference of Engineers and Computer Scientists IMECS, Hong Kong.
- 20. Wang, Y. J., & Lee, H. S., 2007, “Generalizing TOPSIS for fuzzy multiple-criteria group decision-making”, Computers and Mathematics with Applications, 53: 1762-1772.
- 21. 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.
- 22. Wang, J. W., Cheng, C. H., & Cheng, H. K., 2009, “Fuzzy Hierarchical TOPSIS for Supplier Selection”, App¬lied Soft Computing, 9, 377-386.
- 23. Jahanshahloo, G. R., Lofti F. H., & Izadikhah, M., 2006, “Extension of the TOPSIS Method for Decision-Making Problems with Fuzzy Data”, Applied Mathematics and Computation, 181, 1544-1551.
- 24. Monjezi, M., Dehghani, H., Singh, T. N., Sayadi, A. R., & Gholinejad, A., 2010, “Application of TOPSIS method for selecting the most appropriate blast design”, Arabian Journal of Geosciences, 5 (1), 95-101.
Year 2019,
Volume: 29 Issue: 4, 344 - 352, 31.12.2019
Abstract
To select the
right supplier in supply chain is of great importance in terms of firms. Because,
when the supplier is a piece of a well-organized supply chain, this
relationship may affect the competition power across the entire supply chain. Supplier
selection is so difficult and critical process that it requires to evaluate
many factors such as quality, delivery
time, cost, technology, payment due, flexibility and corporate reputation.
Decision makers must consider these factors to select ideal suppliers. At this
point, multi-criteria decision making (MCDM) methods help decision makers to
solve supplier selection problems. In this paper, considering the fuzziness in
group decision making process, fuzzy set theory is used to deal with supplier
selection problem of a textile manufacturing firm in Denizli. The ratings and
weights of the criteria are expressed by linguistic variables. According to the
proposed method fuzzy Technique for Order Preference by Similarity to Ideal
Solution (TOPSIS), a closeness coefficient is calculated for obtaining
supplier performance rankings.
Keywords
Supplier Selection Supply Chain Fuzzy TOPSIS Method Linguistic Variables Multi-Criteria Decision Making Methods
References
- 1. Ghodsypur, S. H., & O’Brien, C., 1998, “A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming”, International Journal of Production Economics, 56-57, 199-212.
- 2. Shin, H., Collier, D. A., & Wilson, D. D., 2000, “Supply management orientation and supplier/buyer performance”, Journal of Operations Management, 18, 317–333.
- 3. Chen, Y. J., 2011, “Structured Methodology for Supp¬lier Selection and Evaluation in a Supply Chain”, Information Sciences, 181 (9), 1651-1670.
- 4. Ding, H., Benyoucef, L., & Xie, X, 2005, “A Simulation Optimization Methodology for Supplier Selection Problem”, International Journal of Computer Integ¬rated Manufacturing, 18 (2-3), 210-224.
- 5. Monczka, R., Trent, R., & Handfield, R., 1998, “Purchasing and Supply Chain Management”, South-Western College Publishing, New York.
- 6. Sarkis, J., & Talluri, S, 2002, “A Model for Strategic Supplier Selection”, Journal of Supply Chain Mana¬gement, 38 (1), 18-28.
- 7. Ho, W., Xu, X., & Dey, P. K., 2010, “Multi-criteria decision making approaches for supplier evaluation and selection: a literature review”, European journal of Operational Research, 202 (1), 16-24.
- 8. De Boer, L., Labro, E., & Morlacchi, P., 2001, “A Review of Methods Supporting Supplier Selection”, Europe¬an Journal of Purchasing and Supply Management, 7 (2), 75-89.
- 9. 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 (2), 289-301.
- 10. Chen S. J., & Hwang C. L., 1992, “Fuzzy Multiple Attribute Decision Making: Methods and Applications” Springer-Verlag, Berlin.
- 11. Delgado, M., Verdegay, J. L., & Vila, M. A., 1992, “Linguistic decision-making models”, International Journal of Intelligent Systems, 7, 479–492.
- 12. Hwang, C. L., & Yoon, K., 1981, “Multiple attribute decision making, methods and applications:186 (Lecture Notes in Economics and Mathematical Systems)”, Springer-Verlag, New York.
- 13. Herrera, F., & Herrera-Viedma, E., 2000, “Linguistic decision analysis: Steps for solving decision problems under linguistic information”, Fuzzy Sets and Systems, 115, 67-82.
- 14. Herrera, F., Herrera-Viedma, E., & Verdegay, J. L., 1996, “A model of consensus in group decision making under linguistic assessments”, Fuzzy Sets and Systems, 78, 73-87.
- 15. Chen, C. T., 2000, “Extensions of the TOPSIS for Gro¬up Decision Making Under Fuzzy Environment”, Fuzzy Sets and Systems, 114: 1-9.
- 16. 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”, Technovation, 25 (5), 557-567.
- 17. Saghafian, S., & Hejazi, R., 2005, “Multi Criteria Group Decision Making Using A Modified Fuzzy TOPSIS Procedure”, Proceedings of the 2005 International Conference on Computational Intelligence for Modelling, Control and Automation, and International Conference on Intelligent Agents, Web Technologies and Internet Commerce CIMCA-IAWTIC’05, IEEE. (215-221), Vienna, Austria.
- 18. Zavadskas E. K., Turskis Z., & Tamosaitiene J., 2008, “Construction Risk Assessment of Small Scale Objects by Applying the TOPSIS Method with Attributes Values Determined at Intervals”, The 8th International Conference Reliability and Statistic in Transportation and Communication, Latvia.
- 19. Hung C. C., & Chen L. H., 2009, “A Fuzzy TOPSIS Decision Making Model with Entropy Weight under Intuitionistic Fuzzy Environment”, Proceedings of the International Multi-Conference of Engineers and Computer Scientists IMECS, Hong Kong.
- 20. Wang, Y. J., & Lee, H. S., 2007, “Generalizing TOPSIS for fuzzy multiple-criteria group decision-making”, Computers and Mathematics with Applications, 53: 1762-1772.
- 21. 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.
- 22. Wang, J. W., Cheng, C. H., & Cheng, H. K., 2009, “Fuzzy Hierarchical TOPSIS for Supplier Selection”, App¬lied Soft Computing, 9, 377-386.
- 23. Jahanshahloo, G. R., Lofti F. H., & Izadikhah, M., 2006, “Extension of the TOPSIS Method for Decision-Making Problems with Fuzzy Data”, Applied Mathematics and Computation, 181, 1544-1551.
- 24. Monjezi, M., Dehghani, H., Singh, T. N., Sayadi, A. R., & Gholinejad, A., 2010, “Application of TOPSIS method for selecting the most appropriate blast design”, Arabian Journal of Geosciences, 5 (1), 95-101.
There are 24 citations in total.
Details
| Primary Language | English |
|---|---|
| Subjects | Wearable Materials |
| Journal Section | Articles |
| Authors | |
| Publication Date | December 31, 2019 |
| Submission Date | April 10, 2019 |
| Acceptance Date | August 2, 2019 |
| Published in Issue | Year 2019 Volume: 29 Issue: 4 |
