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ÜÇÜNCÜ TARAF LOJİSTİK SAĞLAYICI SEÇİMİNDE PFAHP-GTOPSIS YÖNTEMLERİNİN UYGULANMASI

Year 2024, Volume: 14 Issue: 1, 393 - 413, 25.03.2024
https://doi.org/10.30783/nevsosbilen.1435092

Abstract

Küresel pazarlardaki rekabet, daha kaliteli ürün kullanımı ve artan müşteri talepleri nedeniyle tedarik zincirlerini güncellemek için temel becerilerine odaklanarak riskten korunmanın maliyet yaratması ve verimliliği artırması nedeniyle şirketler artık dış kaynak kullanma seçeneğini değerlendiriyor. Bu şirketler lojistikle ilgili birçok görevi Üçüncü Taraf Lojistik Sağlayıcılarına (3TLS) devretmeden önce hangi şirketle iş birliği yapacaklarını dikkatlice seçmeli ve belirlemelidirler. Ancak 3TLS seçim problemlerinde belirsizliklerin ve insan etkisinin varlığı, bulanık veya ilgili küme teorilerinin kullanılmasına yol açmaktadır. Çok Kriterli Karar Verme (ÇKKV) yöntemlerinin bulanık sayılar ve gri sayılarla birleştirilmesiyle, öznel yargıların belirsizliğini giderecek pratik araçlar oluşturulabilir. Bu perspektiften bakıldığında, 3PLP değerlendirme ve seçimine ışık tutacak bütünleşmiş bir ÇKKV modeli önerilmiştir. Önerilen model, Pisagor bulanık sayıları ve gri sayılardan oluşan entegre bir çerçeveden oluşmaktadır ve ilgili model gıda endüstrisindeki bir şirkette müşteri siparişlerini teslim etmek için kullanılan 3TLS'ye uygulanmıştır. Değerlendirme kriterleri ağırlıkları, Pisagor Bulanık Analitik Hiyerarşi Süreci (PBAHS) yöntemi kullanılarak hesaplanır ve 3PLP'ler, en iyi 3TLS'yi bulmak için Gri İdeal Çözüme Benzerliğe Göre Sipariş Tercihi Tekniği (GTOPSIS) yöntemleri kullanılarak sıralanır. Analizler ve bulgular, maliyet, hizmet kalitesi ve zamanında teslimatın en büyük etkiye sahip üç kriter olduğu sonucuna varmıştır.

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APPLICATION OF PFAHP-GTOPSIS METHODS FOR THIRD-PARTY LOGISTICS PROVIDER SELECTION

Year 2024, Volume: 14 Issue: 1, 393 - 413, 25.03.2024
https://doi.org/10.30783/nevsosbilen.1435092

Abstract

Companies are now considering the option of outsourcing as hedges cost and increase productivity by concentrating on their core skills to update their supply chains due to the competition in global markets, the use of higher-quality products, and rising customer demands. They must carefully select and identify which company to collaborate with before outsourcing their numerous logistics-related tasks to Third-Party Logistics Providers (3PLP). However, the existence of uncertainties and human influence in 3PLP selection problems leads to the usage of fuzzy or related set theories. By incorporating Multi-Criteria Decision Making (MCDM) methods with fuzzy numbers and grey numbers, practical tools can be composed to address the imprecision of subjective judgments. From this perspective, an integrated MCDM model is proposed to provide insight into the 3PLP evaluation and selection. The model comprises an integrated framework with Pythagorean fuzzy numbers and grey numbers. The proposed model has applied a 3PLP a company in the food industry to fulfill customer orders. The evaluation criteria weights are calculated using the Pythagorean Fuzzy Analytic Hierarchy Process (PFAHP) method, and the 3PLPs are ranked using the grey Technique for Order Preference by Similarity to Ideal Solution (GTOPSIS) methods to find the best 3PLP. The analyses and findings concluded that cost, service quality, and on-time delivery were the three criteria that had the greatest influence

References

  • Aguezzoul, A., & Pires, S. (2016). 3PL performance evaluation and selection: a MCDM method. Supply Chain Forum: An International Journal, 17(2), 87–94.
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  • Alwan, S. Y., Hu, Y., Al Asbahi, A. A. M. H., Al Harazi, Y. K., & Al Harazi, A. K. (2023). Sustainable and resilient e-commerce under COVID-19 pandemic: a hybrid grey decision-making approach. Environmental Science and Pollution Research, 1–21.
  • Arunagiri, R., Pandian, P., Krishnasamy, V., Ramasamy, R., & Sivaprakasam, R. (2023). Selection of browsers for smartphones: a fuzzy hybrid approach and machine learning technique. Knowledge and Information Systems, 1–26.
  • Aydın, S. (2021). A fuzzy MCDM method based on new Fermatean fuzzy theories. International Journal of Information Technology & Decision Making, 20(03), 881–902.
  • Badi, I., Alosta, A., Elmansouri, O., Abdulshahed, A., & Elsharief, S. (2023). An application of a novel grey-CODAS method to the selection of hub airport in North Africa. Decision Making: Applications in Management and Engineering, 6(1), 18–33.
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  • Bulgurcu, B., & Nakiboglu, G. (2018). An extent analysis of 3PL provider selection criteria: A case on Turkey cement sector. Cogent Business & Management, 5(1), 1469183. https://doi.org/10.1080/23311975.2018.1469183
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  • Cebi, S., Gündoğdu, F. K., & Kahraman, C. (2023). Consideration of reciprocal judgments through Decomposed Fuzzy Analytical Hierarchy Process: A case study in the pharmaceutical industry. Applied Soft Computing, 110000.
  • Çelikbilek, Y., & Tüysüz, F. (2016). An integrated grey based multi-criteria decision making approach for the evaluation of renewable energy sources. Energy, 115, 1246–1258.
  • Chang, K.-H. (2023). Integrating Subjective–Objective Weights Consideration and a Combined Compromise Solution Method for Handling Supplier Selection Issues. Systems, 11(2), 74.
  • Chen, Y. M., Goan, M.-J., & Huang, P.-N. (2011). Selection process in logistics outsourcing – a view from third party logistics provider. Production Planning & Control, 22(3), 308–324. https://doi.org/10.1080/09537287.2010.498611
  • Daim, T. U., Udbye, A., & Balasubramanian, A. (2013). Use of analytic hierarchy process (AHP) for selection of 3PL providers. Journal of Manufacturing Technology Management, 24(1), 28–51. https://doi.org/10.1108/17410381311287472
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There are 87 citations in total.

Details

Primary Language English
Subjects International Logistics
Journal Section Articles
Authors

Sinan Çizmecioğlu 0000-0002-3355-8882

Esra Boz 0000-0002-1522-1768

Ahmet Çalık 0000-0002-6796-0052

Early Pub Date March 20, 2024
Publication Date March 25, 2024
Submission Date February 11, 2024
Acceptance Date March 14, 2024
Published in Issue Year 2024 Volume: 14 Issue: 1

Cite

APA Çizmecioğlu, S., Boz, E., & Çalık, A. (2024). APPLICATION OF PFAHP-GTOPSIS METHODS FOR THIRD-PARTY LOGISTICS PROVIDER SELECTION. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi, 14(1), 393-413. https://doi.org/10.30783/nevsosbilen.1435092