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THE BEST SUPPLIER SELECTION BY USING ANALYTIC HIERARCHY PROCESS (AHP) AND FUZZY COMPREHENSIVE EVALUATION (FCE) METHODS: AN EXAMPLE OF A TURKISH LEATHER APPAREL COMPANY

Year 2017, Volume: 27 Issue: 4, 326 - 333, 27.12.2017

Abstract

Today's tough competitive conditions require managing companies’ supply chain management more effectively to protect the competitiveness in the field of leather apparel as in every sector. The selection of the most suitable suppliers for the company's expectations and criteria is an important decision problem in the management of this chain. In the scope of this study, a Turkish leather apparel company was selected and a field survey was carried out on leather supply by the participation of the purchasing managers of this company. Analytic Hierarchy Process (AHP) and Fuzzy Comprehensive Evaluation (FCE) methods were utilized for the analysis of the obtained data. Logical and consistent results were obtained and the most suitable supplier to the company criterion is determined by combining the advantages of both methods. Furthermore, some conclusions and recommendations for the company and the industry were manifested.

References

  • 1. Sundar, V.J., Raghavarao, J., Muralidharan, C., & Mandal, A.B., 2011, “Recovery and utilization of chromium- tanned proteinous wastes of leather making: A review”, Critical Reviews in Environmental Science and Technology, Vol: 41(22), pp: 2048–2075.
  • 2. Thanikaivelan, P., Rao, J.R. , Nair, B.U., & Ramasami, T., 2005, “Recent trends in leather making: Processes, problems, and pathways”, Critical Reviews in Environmental Science and Technology, Vol: 35(1), pp: 37–79.
  • 3. Beshah, B., Kitaw, D., & Gelan, M., 2013, “Workstation design in an Ethiopian small scale leather garment industry”, Procedia - Social and Behavioral Sciences, Vol: 75, pp: 434-442. 4. Directorate General for Industry of Turkish Republic, 2010, “The sectors of textile, apparel, leather and leather products”, Retrieved from http://www.sanayi.gov.tr/Files/Documents/tekstil_sektoru_raporu-14-16082010142717.pdf (Date accessed: 25.04.2016)
  • 5. Mokhtari, M., Javanshir, H., Dolatabadi, M.K., Tashakori, L., & Madanchi, F., 2013, “Supplier selection in textile industry using fuzzy MADM”, Research Journal of Applied Sciences, Engineering and Technology, Vol. 6(3), pp: 400-411.
  • 6. Patton, W.E., 1997, “Individual and joint decision making in industrial vendor selection”, Journal of Business Research, Vol: 38(2), pp: 115-122.
  • 7. Turkish Exporters Assembly, 2015, “Territorial numbers in terms of sectors”, Retrieved from http://www.tim.org.tr/tr/ihracat-ihracat-rakamlari-tablolar.html Date accessed: 22.05.2016)
  • 8. Cheragni, S., Dadashzadeh, M. & Subramanian, M., 2004, “Critical success factors for supplier selection: An update”, Journal of Applied Business Research, Vol: 20(2), pp: 91-108.
  • 9. Karaarslan, N., 2008, “A Fuzzy decision support system to supplier capability analysis in manufacturing industry, (Unpublished doctoral dissertation)”, Sakarya University, Institute of Science.
  • 10. Arda, R., 2010, “Applying both fuzzy logic and linear programming in supplier selection”, Master Thesis, Istanbul University, Institute of Social Sciences.
  • 11. Bayrak, M.Y., Celebi N.& Taşkın H., 2007, “A fuzzy approach method for supplier selection”, Production Planning & Control: The Management of Operations, Vol: 18(1), pp: 54-63
  • 12. Kumar, D., Singh, J., Singh, O.P, & Seema., 2013, “A fuzzy logic based decision support system for the evaluation of suppliers in supply chain management practices”, Mathematical and Computer Modelling, Vol: 57(11-12), pp: 2945-2960.
  • 13. Ofluoglu, P. & Miran, B., 2014, “Supplier selection through fuzzy pair-wise comparison method: A case of Turkish clothing sector”, Journal of Textiles and Engineer, Vol: 21(96), pp: 1-9.
  • 14. Yang, C. & B. Chen., 2006, “Supplier selection using combined analytical hierarchy process and grey relational analysis”, Journal of Manufacturing Technology Management, Vol: 17(7), pp: 926-941.
  • 15. Liang, Z., Yang, K., Sun, Y., Yuan, J., Zhang, H., & Zhang, Z., 2006, “Decision support for choice optimal power generation projects: Fuzzy comprehensive evaluation model based on the electricity market”, Energy Policy, Vol: 34(17), pp: 3359-3364.
  • 16. Shao, C., 2009, “The implication of fuzzy comprehensive evaluation method in evaluating internal financial control of enterprise”, International Business Research, Vol: 2(1), pp: 210-214.
  • 17. Bochao, L., 2010, “Supply chain risk assessment based on AHP and Fuzzy Comprehensive Evaluation”, Proceedings of International Conference on Management of e-Commerce and e-Government, pp: 317-322.
  • 18. Zhijie, G., Jie, J., & Ping, L., 2010, “Design and application of evaluation model on technical innovation ability of SMEs based on AHP and FCE”, Proceedings of the 7th International Conference on Innovation & Management, pp: 494-498.
  • 19. Shi, S., Jiang, M., Liu, Y., & Li, R., 2012, “Risk assessment on falling from height based on AHP-fuzzy”, Procedia Engineering, Vol: 45, pp: 112-118.
  • 20. Xi, X. & Qin, Q., 2013, “Product quality evaluation system based on AHP fuzzy comprehensive evaluation”, Journal of Industrial Engineering and Management, Vol: 6(1), pp: 356-366.
  • 21. Yang, S. & Wang, R., 2013, “Research on power coal supplier selection based on AHP and fuzzy comprehensive evaluation method”, Proceedings of International Conference on Advances in Social Science, Humanities, and Management, pp: 431-434.
  • 22. Yuan, J., 2013, “Fuzzy comprehensive evaluation enterprise performance management model based on AHP”, International Journal of Digital Content Technology and its Applications (JDCTA), Vol: 7(6), pp: 539-547.
  • 23. Xiang, S. & Li, X., 2014, “The establishment of AHP-Fuzzy model for comprehensive evaluation of “city obesity” degree”, Proceedings of International Conference on Computer Science and Electronic Technology, pp: 56-62.
  • 24. Xiong, G., Chen, Y., Shang X., Sjamg, L., & Nyberg, T.R., 2014, "AHP fuzzy comprehensive method of supplier evaluation in social manufacturing mode", Proceeding of the 11th World Congress on Intelligent Control and Automation, pp. 3592-3597.
  • 25. Zadeh, L. A., 1965, “Fuzzy Sets”, Information and Control, Vol: 8(3), pp: 338-353.
  • 26. Li, M., Du, Y., Wang, Q., Sun, C., Ling, X., Yu, B., Tu, J., Xiong, Y., 2015, “Risk assessment of supply chain for pharmaceutical excipients with AHP-fuzzy comprehensive evaluation”, Drug Development and Industrial Pharmacy, Vol: 42(4), pp: 1-9.

AHP VE BULANIK KAPSAMLI DEĞERLENDİRME YÖNTEMLERİ İLE EN İYİ TEDARİKÇİ SEÇİMİ: BİR TÜRK DERİ FİRMASI ÖRNEĞİ

Year 2017, Volume: 27 Issue: 4, 326 - 333, 27.12.2017

Abstract

Günümüzün zorlu rekabet koşulları her sektörde olduğu gibi deri konfeksiyonu alanında da firmaların rekabetçiliklerini korumaları amacıyla, tedarik zinciri yönetimlerini daha etkili bir şekilde yönetmelerini gerektirmektedir. Bu zincirin yönetilmesinde firmanın beklentileri ve kriterlerine en uygun tedarikçinin seçimi önemli bir karar problemi olmaktadır. Çalışma kapsamında, bir Türk deri konfeksiyon firması ele alınmış ve firmanın satın alma yöneticileri ile mamül deri tedariği üzerine bir saha araştırması yürütülmüştür. Elde edilen verilerin analizi amacıyla AHP ve Fuzzy Comprehensive Evaluation (FCE) yöntemlerinden faydalanılmıştır. Her iki yöntemin avantajları birleştirilerek, mantıklı ve tutarlı sonuçlar elde edilmiş ve firmanın kriterlerine en uygun tedarikçi belirlenmiştir. Ayrıca, firma ve sektöre yönelik çeşitli çıkarımlar ve önerilerde bulunulmuştur.

References

  • 1. Sundar, V.J., Raghavarao, J., Muralidharan, C., & Mandal, A.B., 2011, “Recovery and utilization of chromium- tanned proteinous wastes of leather making: A review”, Critical Reviews in Environmental Science and Technology, Vol: 41(22), pp: 2048–2075.
  • 2. Thanikaivelan, P., Rao, J.R. , Nair, B.U., & Ramasami, T., 2005, “Recent trends in leather making: Processes, problems, and pathways”, Critical Reviews in Environmental Science and Technology, Vol: 35(1), pp: 37–79.
  • 3. Beshah, B., Kitaw, D., & Gelan, M., 2013, “Workstation design in an Ethiopian small scale leather garment industry”, Procedia - Social and Behavioral Sciences, Vol: 75, pp: 434-442. 4. Directorate General for Industry of Turkish Republic, 2010, “The sectors of textile, apparel, leather and leather products”, Retrieved from http://www.sanayi.gov.tr/Files/Documents/tekstil_sektoru_raporu-14-16082010142717.pdf (Date accessed: 25.04.2016)
  • 5. Mokhtari, M., Javanshir, H., Dolatabadi, M.K., Tashakori, L., & Madanchi, F., 2013, “Supplier selection in textile industry using fuzzy MADM”, Research Journal of Applied Sciences, Engineering and Technology, Vol. 6(3), pp: 400-411.
  • 6. Patton, W.E., 1997, “Individual and joint decision making in industrial vendor selection”, Journal of Business Research, Vol: 38(2), pp: 115-122.
  • 7. Turkish Exporters Assembly, 2015, “Territorial numbers in terms of sectors”, Retrieved from http://www.tim.org.tr/tr/ihracat-ihracat-rakamlari-tablolar.html Date accessed: 22.05.2016)
  • 8. Cheragni, S., Dadashzadeh, M. & Subramanian, M., 2004, “Critical success factors for supplier selection: An update”, Journal of Applied Business Research, Vol: 20(2), pp: 91-108.
  • 9. Karaarslan, N., 2008, “A Fuzzy decision support system to supplier capability analysis in manufacturing industry, (Unpublished doctoral dissertation)”, Sakarya University, Institute of Science.
  • 10. Arda, R., 2010, “Applying both fuzzy logic and linear programming in supplier selection”, Master Thesis, Istanbul University, Institute of Social Sciences.
  • 11. Bayrak, M.Y., Celebi N.& Taşkın H., 2007, “A fuzzy approach method for supplier selection”, Production Planning & Control: The Management of Operations, Vol: 18(1), pp: 54-63
  • 12. Kumar, D., Singh, J., Singh, O.P, & Seema., 2013, “A fuzzy logic based decision support system for the evaluation of suppliers in supply chain management practices”, Mathematical and Computer Modelling, Vol: 57(11-12), pp: 2945-2960.
  • 13. Ofluoglu, P. & Miran, B., 2014, “Supplier selection through fuzzy pair-wise comparison method: A case of Turkish clothing sector”, Journal of Textiles and Engineer, Vol: 21(96), pp: 1-9.
  • 14. Yang, C. & B. Chen., 2006, “Supplier selection using combined analytical hierarchy process and grey relational analysis”, Journal of Manufacturing Technology Management, Vol: 17(7), pp: 926-941.
  • 15. Liang, Z., Yang, K., Sun, Y., Yuan, J., Zhang, H., & Zhang, Z., 2006, “Decision support for choice optimal power generation projects: Fuzzy comprehensive evaluation model based on the electricity market”, Energy Policy, Vol: 34(17), pp: 3359-3364.
  • 16. Shao, C., 2009, “The implication of fuzzy comprehensive evaluation method in evaluating internal financial control of enterprise”, International Business Research, Vol: 2(1), pp: 210-214.
  • 17. Bochao, L., 2010, “Supply chain risk assessment based on AHP and Fuzzy Comprehensive Evaluation”, Proceedings of International Conference on Management of e-Commerce and e-Government, pp: 317-322.
  • 18. Zhijie, G., Jie, J., & Ping, L., 2010, “Design and application of evaluation model on technical innovation ability of SMEs based on AHP and FCE”, Proceedings of the 7th International Conference on Innovation & Management, pp: 494-498.
  • 19. Shi, S., Jiang, M., Liu, Y., & Li, R., 2012, “Risk assessment on falling from height based on AHP-fuzzy”, Procedia Engineering, Vol: 45, pp: 112-118.
  • 20. Xi, X. & Qin, Q., 2013, “Product quality evaluation system based on AHP fuzzy comprehensive evaluation”, Journal of Industrial Engineering and Management, Vol: 6(1), pp: 356-366.
  • 21. Yang, S. & Wang, R., 2013, “Research on power coal supplier selection based on AHP and fuzzy comprehensive evaluation method”, Proceedings of International Conference on Advances in Social Science, Humanities, and Management, pp: 431-434.
  • 22. Yuan, J., 2013, “Fuzzy comprehensive evaluation enterprise performance management model based on AHP”, International Journal of Digital Content Technology and its Applications (JDCTA), Vol: 7(6), pp: 539-547.
  • 23. Xiang, S. & Li, X., 2014, “The establishment of AHP-Fuzzy model for comprehensive evaluation of “city obesity” degree”, Proceedings of International Conference on Computer Science and Electronic Technology, pp: 56-62.
  • 24. Xiong, G., Chen, Y., Shang X., Sjamg, L., & Nyberg, T.R., 2014, "AHP fuzzy comprehensive method of supplier evaluation in social manufacturing mode", Proceeding of the 11th World Congress on Intelligent Control and Automation, pp. 3592-3597.
  • 25. Zadeh, L. A., 1965, “Fuzzy Sets”, Information and Control, Vol: 8(3), pp: 338-353.
  • 26. Li, M., Du, Y., Wang, Q., Sun, C., Ling, X., Yu, B., Tu, J., Xiong, Y., 2015, “Risk assessment of supply chain for pharmaceutical excipients with AHP-fuzzy comprehensive evaluation”, Drug Development and Industrial Pharmacy, Vol: 42(4), pp: 1-9.
There are 25 citations in total.

Details

Journal Section Articles
Authors

Pelin Ofluoğlu This is me

Nilay Örk

Mehmet Mete Mutlu This is me

Turan Atılgan

Publication Date December 27, 2017
Acceptance Date May 3, 2017
Published in Issue Year 2017 Volume: 27 Issue: 4

Cite

APA Ofluoğlu, P., Örk, N., Mutlu, M. M., Atılgan, T. (2017). THE BEST SUPPLIER SELECTION BY USING ANALYTIC HIERARCHY PROCESS (AHP) AND FUZZY COMPREHENSIVE EVALUATION (FCE) METHODS: AN EXAMPLE OF A TURKISH LEATHER APPAREL COMPANY. Textile and Apparel, 27(4), 326-333.

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