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Yerlileştirme Faaliyetlerinde Alt Yüklenici Seçimi İçin Çok Kriterli Karar Verme Yöntemi

Yıl 2022, Sayı: 38, 54 - 64, 31.08.2022
https://doi.org/10.31590/ejosat.1079723

Öz

Bu çalışmada, alt yüklenici seçimi problemi için ankete dayalı çok kriterli karar verme metodolojisi geliştirilmiştir. Anket çalışması alt yüklenici firmanın iş tipine uygun olarak ilgili ana iş alanlarında gerçekleştirilir. Bu alanlar belirlenen ana boyutlara göre değerlendirilir. Geliştirilen metodoloji içinde ilk olarak ana iş alanları ve ana iş boyutlarının nispi önemleri yani ağırlıklarının hesaplanması için FUCOM ağırlıklandırma yöntemi kullanılmıştır. Daha sonra anket sonuçları ve hesaplanan ağırlıklar dikkate alınarak, çok kriterli karar vermede kullanılan TOPSİS, VIKOR, Uzlaşık programlama ve MABAC tekniklerine dayanan alt yüklenici firmaların seçimine ilişkin bir sıralama yöntemi sunulmuştur.

Destekleyen Kurum

TUSAŞ – Türk Havacılık ve Uzay Sanayii A.Ş.

Kaynakça

  • Abbasianjahromi, H., Rajaie, H., & Shakeri, E. (2013). A framework for subcontractor selection in the construction industry. Journal of Civil Engineering and Management, 19(2),158-168.
  • Abbasianjahromi, H., Sepehri, M., & Abbasi, O. (2018). A Decision-Making Framework for Subcontractor Selection in Construction Projects. Engineering Management Journal, 30(2), 141-152.
  • Abdullah, L., Ong, Z., & Rahim, N. (2021). An intuitionistic fuzzy decision-making for developing cause and effect criteria of subcontractors selection. International Journal of Computational Intelligence Systems, 14(1), 991–1002.
  • Aiken, L. R. (1997). Questionnaires and inventories: Surveying opinions and assessing personality. Wiley.
  • Bilgi, N. Y., Apan, E., & Çorapçıoğlu, M. E. (2020). Alt yüklenicilerin değerlendirilmesi için analitik çözüm önerisi: Savunma ve havacılık sanayii için bir anket uygulaması. 8. Ulusal Havacılık ve Uzay Konferansı Bildiriler Kitabı.
  • Can, Ş., & Arıkan, F. (2014). Bir savunma sanayi firmasında çok kriterli alt yüklenici seçim problemi ve çözümü. Gazi Üniv. Müh. Mim. Fak. Der. Journal of the Faculty of Engineering and Architecture of Gazi University, 29(4), 645-654.
  • Dolgui, A., & Proth, J. M. (2013). Outsourcing: Definitions and analysis. International Journal of Production Research, 51(23–24), 6769–6777.
  • Ecer, F. (2020). Çok kriterli karar verme yöntemleri. Seçkin Yayıncılık.
  • Enshassi, A., Arain, F., & Tayeh, B. (2012). Major causes of problems between contractors and subcontractors in the Gaza Strip. Journal of Financial Management of Property and Construction, 17(1), 92-112.
  • Fachrurrazi, S. H., & Munirwansyah, H. (2017). The subcontractor selection practice using ANN-multilayer. Civil Engineering, 8(4), 761-772. Hartmann, A., Ling, F. Y. Y., & Tan, J. S. H. (2009). Relative importance of subcontractor selection criteria: Evidence from Singapore. Journal of Construction Engineering and Management, 135(9), 826-832.
  • Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making: Methods and applications. Springer-Verlag, New York.
  • International Aerospace Quality Group. (2014). SCMH Supplier Selection and Capability Assessment “Maturity Model” Communication Kit & User Guide.
  • Kumaraswamy, M. M., & Matthews, J. D. (2000). Improved subcontractor selection employing partnering principles. Journal of Management in Engineering, 16(3), 47-57.
  • Li, D. F. (2007). Compromise ratio method for fuzzy multi-attribute group decision making. Applied Soft Computing, 7(3), 807-817.
  • Morkunaite, Z., Podvezko, V., Zavadskas, E. K., & Bausys, R. (2019). Contractor selection for renovation of cultural heritage buildings by PROMETHEE method. Archives of Civil and Mechanical Engineering, 19(4), 1056-1071. https://doi.org/10.1016/j.acme.2019.05.008.
  • Nobbs, H. (1993). Future role of construction specialists. London: Business Round Table.
  • Opricovic, S. (1998). Multicriteria optimization of civil engineering systems. Faculty of Civil Engineering, Belgrade, 2(1), 5-21.
  • Pamučar, D., & Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications, 42(6), 3016-3028.
  • Pamucar, D., Stevic, Z., & Sremac, S. (2018). A new model for determining weight coefficients of criteria in MCDM models: Full consistency method (FUCOM). Symmetry, 10(393), 1-22.
  • Polat, G. (2016). Subcontractor selection using the integration of the AHP and PROMETHEE methods. Journal of Civil Engineering and Management, 22(8), 1042-1054.
  • Rahman, M. M., & Kumaraswamy, M. M. (2005). Relational selection for collaborative working arrangements. Journal of Construction Engineering and Management, 131(10),1087-1098.
  • Tavana, M., Azadmanesh, A., Nasr, A. K., & Mina, H. (2021). A multicriteria-optimization model for cultural heritage renovation projects and public-private partnerships in the hospitality industry. https://doi.org/10.1080/13683500.2021.2015299
  • Ulubeyli, S., & Kazaz, A. (2016). Fuzzy multi-criteria decision making model for subcontractor selection in international construction projects. Technological and Economic Development of Economy, 22(2), 210-234. https://doi.org/10.3846/20294913.2014.984363
  • Yayla, A.Y., Yildiz, A., & Yildiz, K. (2013). Generalised choquet integral algorithm for subcontractor selection in the textile industry – A case study for Turkey. Fibres & Textiles in Eastern Europe, 21, 6(102), 16-21.
  • Yong, D. (2006). Plant location selection based on fuzzy TOPSIS. International Journal of Advanced Manufacturing Technology, 28 (2006), 839-844.
  • Zeleny, M. (1973). Compromise Programming, Multiple Criteria Decision Making, Edited by JL Cochrane and M. Zeleny.

Multi-Criteria Decision Making Method for Subcontractor Selection in Indigenization Activities

Yıl 2022, Sayı: 38, 54 - 64, 31.08.2022
https://doi.org/10.31590/ejosat.1079723

Öz

In this study, a survey-based multi-criteria decision-making methodology has been developed for the subcontractor selection problem. The survey is carried out in the relevant main business areas under the work type of the subcontractor company. These areas are evaluated according to the determined main dimensions. For the developed methodology, initially, the FUCOM weighting method is used to calculate the relative importance of the main business areas and main business dimensions. Then, a ranking method for selecting subcontractors based on TOPSIS, VIKOR, MABAC, and Compromise Programming techniques used in multi-criteria decision-making is presented, considering the survey results and the calculated results weights

Kaynakça

  • Abbasianjahromi, H., Rajaie, H., & Shakeri, E. (2013). A framework for subcontractor selection in the construction industry. Journal of Civil Engineering and Management, 19(2),158-168.
  • Abbasianjahromi, H., Sepehri, M., & Abbasi, O. (2018). A Decision-Making Framework for Subcontractor Selection in Construction Projects. Engineering Management Journal, 30(2), 141-152.
  • Abdullah, L., Ong, Z., & Rahim, N. (2021). An intuitionistic fuzzy decision-making for developing cause and effect criteria of subcontractors selection. International Journal of Computational Intelligence Systems, 14(1), 991–1002.
  • Aiken, L. R. (1997). Questionnaires and inventories: Surveying opinions and assessing personality. Wiley.
  • Bilgi, N. Y., Apan, E., & Çorapçıoğlu, M. E. (2020). Alt yüklenicilerin değerlendirilmesi için analitik çözüm önerisi: Savunma ve havacılık sanayii için bir anket uygulaması. 8. Ulusal Havacılık ve Uzay Konferansı Bildiriler Kitabı.
  • Can, Ş., & Arıkan, F. (2014). Bir savunma sanayi firmasında çok kriterli alt yüklenici seçim problemi ve çözümü. Gazi Üniv. Müh. Mim. Fak. Der. Journal of the Faculty of Engineering and Architecture of Gazi University, 29(4), 645-654.
  • Dolgui, A., & Proth, J. M. (2013). Outsourcing: Definitions and analysis. International Journal of Production Research, 51(23–24), 6769–6777.
  • Ecer, F. (2020). Çok kriterli karar verme yöntemleri. Seçkin Yayıncılık.
  • Enshassi, A., Arain, F., & Tayeh, B. (2012). Major causes of problems between contractors and subcontractors in the Gaza Strip. Journal of Financial Management of Property and Construction, 17(1), 92-112.
  • Fachrurrazi, S. H., & Munirwansyah, H. (2017). The subcontractor selection practice using ANN-multilayer. Civil Engineering, 8(4), 761-772. Hartmann, A., Ling, F. Y. Y., & Tan, J. S. H. (2009). Relative importance of subcontractor selection criteria: Evidence from Singapore. Journal of Construction Engineering and Management, 135(9), 826-832.
  • Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making: Methods and applications. Springer-Verlag, New York.
  • International Aerospace Quality Group. (2014). SCMH Supplier Selection and Capability Assessment “Maturity Model” Communication Kit & User Guide.
  • Kumaraswamy, M. M., & Matthews, J. D. (2000). Improved subcontractor selection employing partnering principles. Journal of Management in Engineering, 16(3), 47-57.
  • Li, D. F. (2007). Compromise ratio method for fuzzy multi-attribute group decision making. Applied Soft Computing, 7(3), 807-817.
  • Morkunaite, Z., Podvezko, V., Zavadskas, E. K., & Bausys, R. (2019). Contractor selection for renovation of cultural heritage buildings by PROMETHEE method. Archives of Civil and Mechanical Engineering, 19(4), 1056-1071. https://doi.org/10.1016/j.acme.2019.05.008.
  • Nobbs, H. (1993). Future role of construction specialists. London: Business Round Table.
  • Opricovic, S. (1998). Multicriteria optimization of civil engineering systems. Faculty of Civil Engineering, Belgrade, 2(1), 5-21.
  • Pamučar, D., & Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications, 42(6), 3016-3028.
  • Pamucar, D., Stevic, Z., & Sremac, S. (2018). A new model for determining weight coefficients of criteria in MCDM models: Full consistency method (FUCOM). Symmetry, 10(393), 1-22.
  • Polat, G. (2016). Subcontractor selection using the integration of the AHP and PROMETHEE methods. Journal of Civil Engineering and Management, 22(8), 1042-1054.
  • Rahman, M. M., & Kumaraswamy, M. M. (2005). Relational selection for collaborative working arrangements. Journal of Construction Engineering and Management, 131(10),1087-1098.
  • Tavana, M., Azadmanesh, A., Nasr, A. K., & Mina, H. (2021). A multicriteria-optimization model for cultural heritage renovation projects and public-private partnerships in the hospitality industry. https://doi.org/10.1080/13683500.2021.2015299
  • Ulubeyli, S., & Kazaz, A. (2016). Fuzzy multi-criteria decision making model for subcontractor selection in international construction projects. Technological and Economic Development of Economy, 22(2), 210-234. https://doi.org/10.3846/20294913.2014.984363
  • Yayla, A.Y., Yildiz, A., & Yildiz, K. (2013). Generalised choquet integral algorithm for subcontractor selection in the textile industry – A case study for Turkey. Fibres & Textiles in Eastern Europe, 21, 6(102), 16-21.
  • Yong, D. (2006). Plant location selection based on fuzzy TOPSIS. International Journal of Advanced Manufacturing Technology, 28 (2006), 839-844.
  • Zeleny, M. (1973). Compromise Programming, Multiple Criteria Decision Making, Edited by JL Cochrane and M. Zeleny.
Toplam 26 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Şeyda Topaloğlu Yıldız 0000-0001-6827-126X

Mertcan Özçelik 0000-0002-4600-9946

Semih Akaba 0000-0003-4170-2757

Soner Altan 0000-0001-6907-9210

Nisa Yağmur Bilgi 0000-0001-5908-3814

Kaan Bodur 0000-0001-5701-7629

Mehmet Erdem Çorapçıoğlu 0000-0002-2986-6575

Erken Görünüm Tarihi 26 Temmuz 2022
Yayımlanma Tarihi 31 Ağustos 2022
Yayımlandığı Sayı Yıl 2022 Sayı: 38

Kaynak Göster

APA Topaloğlu Yıldız, Ş., Özçelik, M., Akaba, S., Altan, S., vd. (2022). Yerlileştirme Faaliyetlerinde Alt Yüklenici Seçimi İçin Çok Kriterli Karar Verme Yöntemi. Avrupa Bilim Ve Teknoloji Dergisi(38), 54-64. https://doi.org/10.31590/ejosat.1079723