Supplier Selection for a Business Operating on a Just-in-Time Production System Using an Integrated DEMATEL and MULTIMOORA Approach
Year 2021,
Volume: 9 Issue: 1, 67 - 78, 29.01.2021
Alparslan Serhat Demir
,
Mine Büşra Gelen
,
Şeyma Acır
Abstract
In today’s industry, increasing competition and rising customer expectancies are driving businesses to expect some criteria such as cost, quality and fast service from their suppliers at certain levels. Especially for automotive companies working on just-in-time production, it is of utmost importance that these criteria are best achieved by suppliers. While suppliers who meet the criteria at an optimal level are preferred, firms part company with the suppliers who cannot meet these expectations. For this reason, the choice of suppliers for just-in-time companies has become a major problem. In this study, the problem of supplier selection of an automotive subsidiary industry company working with a just-in-time production system was solved using an integrated use of DEMATEL and MULTIMOORA methods. In the study, the MOORA ratio method, the Reference point approach and full multiplicative methods were applied on the supplier selection problem by operating with weights obtained from DEMATEL. The results obtained were assessed using the ordinal dominance theory and the best suppliers were selected.
Thanks
We would like to thank AKPRESS Inc. for their support for the study.
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Supplier Selection for a Business Operating on a Just-in-Time Production System Using an Integrated DEMATEL and MULTIMOORA Approach
Year 2021,
Volume: 9 Issue: 1, 67 - 78, 29.01.2021
Alparslan Serhat Demir
,
Mine Büşra Gelen
,
Şeyma Acır
Abstract
Günümüz endüstrisinde artan rekabet ve yükselen müşteri beklentileri işletmeleri tedarikçilerinden düşük maliyet, uygun kalite, hızlı servis, vb. bir takım kriterleri belli düzeylerde aramaya yöneltmiştir. Özellikle tam zamanında üretim ile çalışan otomotiv firmaları için bu kriterlerin tedarikçiler tarafından en iyi şekilde sağlanması büyük önem taşımaktadır. Kriterleri optimum düzeyde sağlayan tedarikçiler tercih sebebi olmakta, bu beklentileri sağlayamayan tedarikçilerle firmalar yollarını ayırmaktadır. Bu sebeple tam zamanında çalışan işletmeler için tedarikçi seçimi konusu önemli bir problem haline gelmiştir. Bu çalışmada DEMATEL (Decision Making Trial and Evaluation Laboratory) ve MultiMoora (Moora plus the full multiplicative form) metotlarının bütünleşik kullanımıyla tam zamanında üretim sistemi ile çalışan bir otomotiv yan sanayi firmasının tedarikçi seçimi problemine çözüm getirilmiştir. Çalışmada Oran Metodu, Referans Noktası Yaklaşımı ve Tam Çarpım Formu metotları DEMATEL’den elde edilen ağırlıklarla çalıştırılarak tedarikçi seçimi problemi üzerinde uygulanmıştır. Elde edilen sonuçlar Sıra Baskınlık Teorisi ile değerlendirilerek en uygun tedarikçi seçimi gerçekleştirilmiştir.
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- 23. Baležentis, T., & Zeng, S. (2013). Group multi-criteria decision making based upon interval-valued fuzzy numbers: an extension of the MULTIMOORA method. Expert Systems with Applications, 40(2), 543-550.
- 24. Balezentiene, L., Streimikiene, D., & Balezentis, T. (2013). Fuzzy decision support methodology for sustainable energy crop selection. Renewable and Sustainable Energy Reviews, 17, 83-93.
- 25. Brauers, W. K. M., Kildienė, S., Zavadskas, E. K., & Kaklauskas, A. (2013). The construction sector in twenty European countries during the recession 2008–2009–country ranking by MULTIMOORA. International Journal of Strategic Property Management, 17(1), 58-78.
- 26. Datta, S., Sahu, N., & Mahapatra, S. (2013). Robot selection based on grey-MULTIMOORA approach. Grey Systems: Theory and Application, 3(2), 201-232.
- 27. Kildiene, S. (2013). Assessment of opportunities for construction enterprises in European Union member states using the MULTIMOORA method. Procedia Engineering, 57, 557-564.
- 28. Brauers, W. K., Zavadskas, E. K., & Kildienė, S. (2014). Was the Construction Sector in 20 European Countries Anti-cyclical during the Recession Years 2008-2009 as Measured by Multicriteria Analysis (MULTIMOORA). Procedia Computer Science, 31, 949-956.
- 29. Stanujkic, D., Plavšić, A., & Stanujkić, A. (2014). Jedan Prıstup Rangıranju Hotelskıh Web Sajtova Prımenom MULTIMOORA Metode An Approach To Rankıng Hotels'websıtes By Applyıng Multımoora Method. ICIST 2014, 2, 307-310.
- 30. Li, Z. H. (2014). An extension of the MULTIMOORA method for multiple criteria group decision making based upon hesitant fuzzy sets. Journal of Applied Mathematics, 2014.
- 31. Liu, H. C., Fan, X. J., Li, P., & Chen, Y. Z. (2014). Evaluating the risk of failure modes with extended MULTIMOORA method under fuzzy environment. Engineering Applications of Artificial Intelligence, 34, 168-177.
- 32. Sahu, A. K., Datta, S., & Mahapatra, S. S. (2014). Use of IVFNs and MULTIMOORA method for supply chain performance measurement, benchmarking and decision-making: an empirical study. International Journal of Business Excellence, 7(2), 237-280.
- 33. Stankevičienė, J., Sviderskė, T., & Miečinskienė, A. (2014). Dependence of sustainability on country risk indicators in EU Baltic Sea region countries. Journal of Business Economics and Management, 15(4), 646-663.
- 34. Lazauskas, M., Šaparauskas, J., & Zavadskas, E. K. (2015). Ranking of priorities among the baltic capital cities for the development of sustainable construction.
- 35. Zavadskas, E. K., Antucheviciene, J., Razavi Hajiagha, S. H., & Hashemi, S. S. (2015). The interval-valued intuitionistic fuzzy MULTIMOORA method for group decision making in engineering. Mathematical Problems in Engineering, 2015.
- 36. Aksoy, E., Ömürbek, N., & Karaatlı, M. (2015). AHP Temelli MULTIMOORA ve COPRAS yöntemi ile Türkiye Kömür İşletmeleri’nin performans değerlendirmesi. Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 33(4).
- 37. Altuntas, S., Dereli, T., & Yilmaz, M. K. (2015). Evaluation of excavator technologies: application of data fusion based MULTIMOORA methods. Journal of Civil Engineering and Management, 21(8), 977-997.
- 38. Hafezalkotob, A., & Hafezalkotob, A. (2015). Comprehensive MULTIMOORA method with target-based attributes and integrated significant coefficients for materials selection in biomedical applications. Materials & Design, 87, 949-959.
- 39. Hafezalkotob, A., Hafezalkotob, A., & Sayadi, M. K. (2016). Extension of MULTIMOORA method with interval numbers: an application in materials selection. Applied Mathematical Modelling, 40(2), 1372-1386.
- 40. Liu, H. C., You, J. X., Lu, C., & Chen, Y. Z. (2015). Evaluating health-care waste treatment technologies using a hybrid multi-criteria decision making model. Renewable and Sustainable Energy Reviews, 41, 932-942.
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- 42. Kundakcı, N. (2016). Combined Multi-Criteria Decision Making Approach Based On Macbeth And Multi-MOORA Methods. Alphanumeric Journal, 4(1).
- 43. Ceballos, B., Lamata, M. T., & Pelta, D. A. (2016). A comparative analysis of multi-criteria decision-making methods. Progress in Artificial Intelligence, 5(4), 315-322.
- 44. Gorzeń-Mitka, I., Skibiński, A., & Lemańska-Majdzik, A. (2016). Rating of European Housing Markets by Multi-Objective Evaluation Method. on European Integration 2016, 263.
- 45. Sahu, A. K., Sahu, N. K., & Sahu, A. K. (2016). Application of modified MULTI-MOORA for CNC machine tool evaluation in IVGTFNS environment: an empirical study. International Journal of Computer Aided Engineering and Technology, 8(3), 234-259.
- 46. Tian, Z. P., Wang, J., Wang, J. Q., & Zhang, H. Y. (2016). An improved MULTIMOORA approach for multi-criteria decision-making based on interdependent inputs of simplified neutrosophic linguistic information. Neural Computing and Applications, 1-13.
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