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Supplier Selection for a Business Operating on a Just-in-Time Production System Using an Integrated DEMATEL and MULTIMOORA Approach

Yıl 2021, Cilt: 9 Sayı: 1, 67 - 78, 29.01.2021
https://doi.org/10.21541/apjes.793784

Öz

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.

Teşekkür

We would like to thank AKPRESS Inc. for their support for the study.

Kaynakça

  • 1. Aytekin, S. (2009). Tam Zamanında Stok Yönetimi (Just-In-Tıme) Felsefesinin Hastane İşletmelerine Uygulanabilirliği ve Bir Üniversite Hastanesi Örneği. Balikesir University Journal Of Social Sciences Institute, 12(21), 102-115.
  • 2. Schniederjans, M. J., Cao, Q., & Triche, J. H. (2013). E-commerce operations management. World Scientific Publishing Co Inc, 122-123.
  • 3. Calvi, R., Le Dain, M. A., Fendt, T. C., & Herrmann, C. J. (2010). Supplier selection for strategic supplier development.
  • 4. Dağdeviren, M., & Tamer, E. R. E. N. (2001). Tedarikçi firma seçiminde analitik hiyerarşi prosesi ve 0-1 hedef programlama yöntemlerinin kullanılması. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 16(1), 41-52.
  • 5. De Boer, L., van der Wegen, L., & Telgen, J. (1998). Outranking methods in support of supplier selection. European Journal of Purchasing & Supply Management, 4(2-3), 109-118.
  • 6. Weber, C. A., & Ellram, L. M. (1993). Supplier selection using multi-objective programming: a decision support system approach. International Journal of Physical Distribution & Logistics Management, 23(2), 3-14.
  • 7. Dulmin, R., & Mininno, V. (2003). Supplier selection using a multi-criteria decision aid method. Journal of purchasing and supply management, 9(4), 177-187.
  • 8. Sarkis, J., & Talluri, S. (2002). A model for strategic supplier selection. Journal of supply chain management, 38(4), 18-28.
  • 9. Sanayei, A., Mousavi, S. F., & Yazdankhah, A. (2010). Group decision making process for supplier selection with VIKOR under fuzzy environment. Expert Systems with Applications, 37(1), 24-30.
  • 10. Zavadskas, E. K., Turskis, Z., & Kildienė, S. (2014). State of art surveys of overviews on MCDM/MADM methods. Technological and economic development of economy, 20(1), 165-179.
  • 11. Brauers, W. K. M., & Zavadskas, E. K. (2010). Project management by MULTIMOORA as an instrument for transition economies. Technological and Economic Development of Economy, 16(1), 5-24.
  • 12. Kracka, M., Brauers, W. K. M., & Zavadskas, E. K. (2010). Ranking heating losses in a building by applying the MULTIMOORA. Engineering Economics, 21(4), 352-359.
  • 13. Baležentis, A., Baležentis, T., & Valkauskas, R. (2010). Evaluating situation of Lithuania in the European Union: structural indicators and MULTIMOORA method. Technological and Economic Development of Economy, 16(4), 578-602.
  • 14. Baležentis, A., & Baležentis, T. (2011). Assessing the efficiency of Lithuanian transport sector by applying the methods of MULTIMOORA and data envelopment analysis. Transport, 26(3), 263-270.
  • 15. Baležentis, T. (2011). A farming efficiency estimation model based on fuzzy multimoora. Management Theory and Studies for Rural Business and Infrastructure Development, 29(5), 43-52.
  • 16. Balešentis, T., Balešentis, A., & Brauers, W. K. (2011). Multi–Objective Optimization of Well–Being in the Eu-Ropean Union Member STATES. Economic Research-Ekonomska Istraživanja, 24(4), 1-15.
  • 17. Brauers, W. K. M., & Zavadskas, E. K. (2011). MULTIMOORA optimization used to decide on a bank loan to buy property. Technological and Economic Development of Economy, 17(1), 174-188.
  • 18. Brauers, W. K., Balezentis, A., & Balezentis, T. (2012). Implementing the EU strategy in Baltic States: A multi-objective evaluation. Actual problems of Economics, 8(134), 317-329.
  • 19. Baležentis, A., Baležentis, T., & Brauers, W. K. (2012). Personnel selection based on computing with words and fuzzy MULTIMOORA. Expert Systems with applications, 39(9), 7961-7967.
  • 20. Brauers, W. K. M., Ginevicius, R., & Podviezko, A. (2012, May). Evaluation of performance of Lithuanian commercial banks by multi-objective optimization. In The 7th international scientific conference business and management (pp. 1042-1049).
  • 21. Streimikiene, D., Balezentis, T., Krisciukaitienė, I., & Balezentis, A. (2012). Prioritizing sustainable electricity production technologies: MCDM approach. Renewable and Sustainable Energy Reviews, 16(5), 3302-3311.
  • 22. Brauers, W. K. M., & Zavadskas, E. K. (2012). Robustness of MULTIMOORA: a method for multi-objective optimization. Informatica, 23(1), 1-25.
  • 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.
  • 41. Çiçek, C., Bakış, A., & Bayazıt, V. (2016). Bulanık multimoora yöntemiyle en uygun mekanik otopark sistemi seçimi. International Refereed Journal of Engineering And Sciences, January / February / March / April Spring Semester Winter, 6, 43-60.
  • 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.
  • 47. Aytekin, A. (2016). Hastaların Hastane Tercihinde Etkili Kriterler ve Hastanelerin MULTIMOORA ile Sıralanması: Eskişehir Örneği. Isletme ve Iktisat Calismalari Dergisi, 4(4), 134-143.
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Supplier Selection for a Business Operating on a Just-in-Time Production System Using an Integrated DEMATEL and MULTIMOORA Approach

Yıl 2021, Cilt: 9 Sayı: 1, 67 - 78, 29.01.2021
https://doi.org/10.21541/apjes.793784

Öz

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.

Kaynakça

  • 1. Aytekin, S. (2009). Tam Zamanında Stok Yönetimi (Just-In-Tıme) Felsefesinin Hastane İşletmelerine Uygulanabilirliği ve Bir Üniversite Hastanesi Örneği. Balikesir University Journal Of Social Sciences Institute, 12(21), 102-115.
  • 2. Schniederjans, M. J., Cao, Q., & Triche, J. H. (2013). E-commerce operations management. World Scientific Publishing Co Inc, 122-123.
  • 3. Calvi, R., Le Dain, M. A., Fendt, T. C., & Herrmann, C. J. (2010). Supplier selection for strategic supplier development.
  • 4. Dağdeviren, M., & Tamer, E. R. E. N. (2001). Tedarikçi firma seçiminde analitik hiyerarşi prosesi ve 0-1 hedef programlama yöntemlerinin kullanılması. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 16(1), 41-52.
  • 5. De Boer, L., van der Wegen, L., & Telgen, J. (1998). Outranking methods in support of supplier selection. European Journal of Purchasing & Supply Management, 4(2-3), 109-118.
  • 6. Weber, C. A., & Ellram, L. M. (1993). Supplier selection using multi-objective programming: a decision support system approach. International Journal of Physical Distribution & Logistics Management, 23(2), 3-14.
  • 7. Dulmin, R., & Mininno, V. (2003). Supplier selection using a multi-criteria decision aid method. Journal of purchasing and supply management, 9(4), 177-187.
  • 8. Sarkis, J., & Talluri, S. (2002). A model for strategic supplier selection. Journal of supply chain management, 38(4), 18-28.
  • 9. Sanayei, A., Mousavi, S. F., & Yazdankhah, A. (2010). Group decision making process for supplier selection with VIKOR under fuzzy environment. Expert Systems with Applications, 37(1), 24-30.
  • 10. Zavadskas, E. K., Turskis, Z., & Kildienė, S. (2014). State of art surveys of overviews on MCDM/MADM methods. Technological and economic development of economy, 20(1), 165-179.
  • 11. Brauers, W. K. M., & Zavadskas, E. K. (2010). Project management by MULTIMOORA as an instrument for transition economies. Technological and Economic Development of Economy, 16(1), 5-24.
  • 12. Kracka, M., Brauers, W. K. M., & Zavadskas, E. K. (2010). Ranking heating losses in a building by applying the MULTIMOORA. Engineering Economics, 21(4), 352-359.
  • 13. Baležentis, A., Baležentis, T., & Valkauskas, R. (2010). Evaluating situation of Lithuania in the European Union: structural indicators and MULTIMOORA method. Technological and Economic Development of Economy, 16(4), 578-602.
  • 14. Baležentis, A., & Baležentis, T. (2011). Assessing the efficiency of Lithuanian transport sector by applying the methods of MULTIMOORA and data envelopment analysis. Transport, 26(3), 263-270.
  • 15. Baležentis, T. (2011). A farming efficiency estimation model based on fuzzy multimoora. Management Theory and Studies for Rural Business and Infrastructure Development, 29(5), 43-52.
  • 16. Balešentis, T., Balešentis, A., & Brauers, W. K. (2011). Multi–Objective Optimization of Well–Being in the Eu-Ropean Union Member STATES. Economic Research-Ekonomska Istraživanja, 24(4), 1-15.
  • 17. Brauers, W. K. M., & Zavadskas, E. K. (2011). MULTIMOORA optimization used to decide on a bank loan to buy property. Technological and Economic Development of Economy, 17(1), 174-188.
  • 18. Brauers, W. K., Balezentis, A., & Balezentis, T. (2012). Implementing the EU strategy in Baltic States: A multi-objective evaluation. Actual problems of Economics, 8(134), 317-329.
  • 19. Baležentis, A., Baležentis, T., & Brauers, W. K. (2012). Personnel selection based on computing with words and fuzzy MULTIMOORA. Expert Systems with applications, 39(9), 7961-7967.
  • 20. Brauers, W. K. M., Ginevicius, R., & Podviezko, A. (2012, May). Evaluation of performance of Lithuanian commercial banks by multi-objective optimization. In The 7th international scientific conference business and management (pp. 1042-1049).
  • 21. Streimikiene, D., Balezentis, T., Krisciukaitienė, I., & Balezentis, A. (2012). Prioritizing sustainable electricity production technologies: MCDM approach. Renewable and Sustainable Energy Reviews, 16(5), 3302-3311.
  • 22. Brauers, W. K. M., & Zavadskas, E. K. (2012). Robustness of MULTIMOORA: a method for multi-objective optimization. Informatica, 23(1), 1-25.
  • 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.
  • 41. Çiçek, C., Bakış, A., & Bayazıt, V. (2016). Bulanık multimoora yöntemiyle en uygun mekanik otopark sistemi seçimi. International Refereed Journal of Engineering And Sciences, January / February / March / April Spring Semester Winter, 6, 43-60.
  • 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.
  • 47. Aytekin, A. (2016). Hastaların Hastane Tercihinde Etkili Kriterler ve Hastanelerin MULTIMOORA ile Sıralanması: Eskişehir Örneği. Isletme ve Iktisat Calismalari Dergisi, 4(4), 134-143.
  • 48. Ömürbek, N., & Özcan, A. (2016). BIST’de İşlem Gören Sigorta Şirketlerinin MULTIMOORA Yöntemiyle Performans Ölçümü. Uluslararası İşletme, Ekonomi ve Yönetim Perspektifleri Dergisi, 1(2), 64-75.
  • 49. Hasan, T. Ü. R. E., KOÇAK, D., & DOĞAN, S. (2017). MULTIMOORA Yöntemi İle Ülke Riski Değerlendirmesi. İktisadi ve İdari Bilimler Fakültesi Dergisi, 18(3), 824-844.
  • 50. Ömürbek, N., & Aksoy, E. (2017). Ulusal Verimlilik İstatistiklerine Göre İmalat Sektörlerinin Performansının Değerlendirmesinde Multı-Moora Yönteminin Uygulanması Use Of Multı-Moora Method On Assessıng The Performance Of Manufacturıng Industrıes Based On Natıonal Productıvıty Statıstıcs. Suleyman Demirel University The Journal Of Faculty Of Economics And Administrative Sciences, 22(1), 1-19.
  • 51. Gou, X., Liao, H., Xu, Z., & Herrera, F. (2017). Double hierarchy hesitant fuzzy linguistic term set and MULTIMOORA method: A case of study to evaluate the implementation status of haze controlling measures. Information Fusion, 38, 22-34.
  • 52. Balezentis, A., & Balezentis, T. (2011). An innovative multi-criteria supplier selection based on two-tuple MULTIMOORA and hybrid data. Economic Computation and Economic Cybernetics Studies and Research, 45(2), 37-56.
  • 53. Farzamnia, E., & Babolghani, M. B. (2014). Group decision-making process for supplier selection using MULTIMOORA technique under fuzzy environment. Kuwait Chapter of Arabian Journal of Business and Management Review, 3, 203-218.
  • 54. AKSAKAL, E., & DAĞDEVİREN, M. (2010). ANP ve DEMATEL Yöntemleri İle Personel Seçimi Problemine Bütünleşik Bir Yaklaşım. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 25(4), 905-913.
  • 55. Yang, J. L., & Tzeng, G. H. (2011). An integrated MCDM technique combined with DEMATEL for a novel cluster-weighted with ANP method. Expert Systems with Applications, 38(3), 1417-1424.
  • 56. Karaoğlan, S., 2016. “Dematel ve Vikor yöntemleriyle dış kaynak seçimi: Otel işletmesi örneği”, Akademik Bakış Dergisi, 55, Mayıs-Haziran 2016. Uluslararası Hakemli Sosyal Bilimler E-Dergisi ISSN:1694-528X.
  • 57. Brauers, W. K. M., & Zavadskas, E. K. (2009). Multi-objective optimization with discrete alternatives on the basis of ratio analysis. Intelektine Ekonomika, (2).
  • 58. Adalı, E. A., & Işık, A. T. (2017). The multi-objective decision making methods based on MULTIMOORA and MOOSRA for the laptop selection problem. Journal of Industrial Engineering International, 13(2), 229-237.
  • 59. Brauers, W. K., & Zavadskas, E. K. (2013). Multi-Objective Decision Making with a Large number of Objectives. An Application For Europe 2020. International Journal of Operations Research, 10(2), 67-79.
Toplam 59 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Alparslan Serhat Demir 0000-0003-3415-8116

Mine Büşra Gelen 0000-0001-7033-889X

Şeyma Acır 0000-0001-7518-8106

Yayımlanma Tarihi 29 Ocak 2021
Gönderilme Tarihi 11 Eylül 2020
Yayımlandığı Sayı Yıl 2021 Cilt: 9 Sayı: 1

Kaynak Göster

IEEE A. S. Demir, M. B. Gelen, ve Ş. Acır, “Supplier Selection for a Business Operating on a Just-in-Time Production System Using an Integrated DEMATEL and MULTIMOORA Approach”, APJES, c. 9, sy. 1, ss. 67–78, 2021, doi: 10.21541/apjes.793784.