SavedAdd your journal

Journals / Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi / 2020 / Cilt: 8 - Sayı: İktisadi ve İdari Bilimler

Selection of The Third Party Logistics Company With Fuzzy AHP And Fuzzy EDAS Methods

Bulanık AHP ve Bulanık EDAS Yöntemleri İle Üçüncü Parti Lojistik Firması Seçimi

Alptekin ULUTAŞ
Ali Aygün YÜRÜYEN
Pages
283–294
Publication Date
2022-10-11
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

While the Fuzzy AHP method was used to find the criteria weights, the Fuzzy EDAS method was used to determine the best 3PL firm.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Businesses need to work with the right and appropriate 3PL (third party logistics) companies to gain competitive advantage and increase their profit margins.
📊
Key Findings & Data:Therefore, choosing the right and the appropriate 3PL firm is important for businesses.
💡
Conclusion & Impact:While the Fuzzy AHP method was used to find the criteria weights, the Fuzzy EDAS method was used to determine the best 3PL firm.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Businesses need to work with the right and appropriate 3PL (third party logistics) companies to gain competitive advantage and increase their profit margins. Therefore, choosing the right and the appropriate 3PL firm is important for businesses. More than one criteria should be taken into consideration for the selection of a 3PL company. Multi-criteria decision making (MCDM) methods can be used in the 3PL selection problem due to considering more than one criteria. In this study, a fuzzy MCDD model consisting of Fuzzy AHP and Fuzzy EDAS methods has been developed and the application of the developed model was made in military equipment producing factory in Ankara. While the Fuzzy AHP method was used to find the criteria weights, the Fuzzy EDAS method was used to determine the best 3PL firm.

Özet

İşletmeler,rekabet avantajı elde etmekve kar marjlarını artırmakiçin doğruve uygun3PL(üçüncü parti lojistik)firmaları ile çalışmaları gerekmektedir.Bu yüzden doğru ve uygun 3PL firması seçimi işletmeler için önemlidir. 3PL firması seçimi için birden fazla kriter dikkate alınmalıdır. Birden fazla kriter göz önünde bulundurulmasından dolayı çok kriterli karar verme (ÇKKV) yöntemleri 3PL seçimi probleminde kullanılabilir.Bu çalışmadaBulanık AHP ve Bulanık EDAS yöntemlerinden oluşan bir bulanık ÇKKV modeli geliştirilmiştirve geliştirilen modelin uygulaması Ankara’da bulunan bir askeri araç-gereç üreten fabrikada yapılmıştır.Kriter ağırlıklarının bulunmasında Bulanık AHP yöntemi kullanılırken,en uygun 3PL firmanın belirlenmesi için Bulanık EDAS yöntemi kullanılmıştır.

🔖

Cite This Article

ULUTAŞ, A., YÜRÜYEN, A. A. (2022). Selection of The Third Party Logistics Company With Fuzzy AHP And Fuzzy EDAS Methods. Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, Cilt: 8 - Sayı: İktisadi ve İdari Bilimler, 283–294. https://ajindex.com/articles/439829

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (13)

  1. Akman, G., & Baynal, K. (2014). Logistics service provider selection through an integrated fuzzy multicriteria decision making approach.Journal of Industrial Engineering,2014.1-16.
  2. Alkhatib, S. F., Darlington, R., Yang, Z., & Nguyen, T. T. (2015). A novel technique for evaluating and selecting logistics service providers based on the logistics resource view.Expert systems with applications,42(20), 6976-6989.
  3. Altan, Ş., & Aydın, E. K. (2015). Bulanık DEMATEL ve Bulanık TOPSIS Yöntemleri ile Üçüncü Parti Lojistik Firma Seçimi için Bütünleşik Bir Model Yaklaşımı.Süleyman Demirel University Journal of Faculty of Economics & Administrative Sciences,20(3), 99-119.
  4. Ashenbaum, B., Maltz, A., & Rabinovich, E. (2005). Studies of Trends in Third-party Logistics Usage: What Can We Conclude?.Transportation Journal, 44(3), 39-50.
  5. Asian, S., Pool, J. K., Nazarpour, A., & Tabaeeian, R. A. (2019). On the importance of service performance and customer satisfaction in third-party logistics selection.Benchmarking: An International Journal,26(5), 1550-1564.
  6. Awasthi, A., Govindan, K., & Gold, S. (2018). Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach.International Journal of Production Economics,195, 106-117.
  7. Bali, Ö., Tutun, S., Pala, A., & Çörekçi, C. (2014). A MCDM Approach with Fuzzy DEMATEL and Fuzzy TOPSIS For 3 PL Provider Selection.Journal of Engineering and Natural Sciences,32, 222-239. Bayrakdaroğlu F.K. & Kundakcı N. (2019). Bulanık EDAS Yöntemi ile Ar-Ge Projesi Seçimi. Uluslararası İktisadi ve İdari İncelemeler Dergisi. (24),151-170.
  8. Bianchini, A. (2018). 3PL provider selection by AHP and TOPSIS methodology.Benchmarking: An International Journal,25(1), 235-252.
  9. Bottani, E., & Rizzi, A. (2006). A fuzzy TOPSIS methodology to support outsourcing of logistics services.Supply Chain Management: An International Journal.11(4),294-308.
  10. Buckley, J. J. (1985). Fuzzy Hierarchical Analysis.Fuzzy sets and systems,17(3), 233-247.
  11. Büyüközkan, G., Feyzioğlu, O., & Nebol, E. (2008). Selection of the strategic alliance partner in logistics value chain.International Journal of Production Economics,113(1), 148-158.
  12. Demircan, M. L., & Tunc, S. (2019, July). A proposed service level improvement methodology for public transportation using Interval Type-2 Fuzzy EDAS based on customer satisfaction data. InInternational Conference on Intelligent and Fuzzy Systems(pp. 1351-1359).
  13. Springer, Cham. Dožić, S., Lutovac, T., & Kalić, M. (2018). Fuzzy AHP app