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Journals / Yaşar Üniversitesi E-Dergisi / 2026 / Cilt: 16 Sayı: 63

Evaluation of Third-Party Reverse Logistics Service Provider Selection Criteria with Fuzzy SWARA Method

Üçüncü Parti Tersine Lojistik Servis Sağlayıcısı Seçimi Kriterlerinin Bulanık SWARA Yöntemi ile Değerlendirilmesi

Talip Arsu(AKSARAY ÜNİVERSİTESİ, AKSARAY MESLEK YÜKSEKOKULU, TURİZM VE OTEL İŞLETMECİLİĞİ PR.)0000-0002-2580-166X
Ejder Ayçin(KOCAELİ ÜNİVERSİTESİ, İKTİSADİ VE İDARİ BİLİMLER FAKÜLTESİ, İŞLETME BÖLÜMÜ)0000-0002-0153-8430
Pages
1282–1300
Publication Date
2021-07-31
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AI Summary & Key Takeaways

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

As a result of the implementation, the most important criteria were determined as customer satisfaction, environmental awareness, and service quality, the least important criteria were disposal, recall, and order management.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Reverse logistics has become especially important for businesses to remain competitive and to provide economic benefits to them in today's world, where environmental and social aspects of business activities are the key to sustainable development.
📊
Key Findings & Data:Operations and management of reverse logistics systems is a complex task that requires significant infrastructure, technology, expertise, and experience.
💡
Conclusion & Impact:As a result of the implementation, the most important criteria were determined as customer satisfaction, environmental awareness, and service quality, the least important criteria were disposal, recall, and order management.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Tersine Lojistik · Üçüncü Parti Tersine Lojistik Servis Sağlayıcısı (3PTLS) · Bulanık SWARA

Abstract

Reverse logistics has become especially important for businesses to remain competitive and to provide economic benefits to them in today's world, where environmental and social aspects of business activities are the key to sustainable development. Operations and management of reverse logistics systems is a complex task that requires significant infrastructure, technology, expertise, and experience. For this reason, many businesses tend to outsource their reverse logistics activities to third-party reverse logistics service providers (3PRLP). From this point of view, the aim of this study is to evaluate the criteria to be considered in 3PTLS selection using the fuzzy SWARA method. Accordingly, after a comprehensive literature review, the criteria were evaluated by taking the opinion of an expert group. As a result of the implementation, the most important criteria were determined as customer satisfaction, environmental awareness, and service quality, the least important criteria were disposal, recall, and order management.

Özet

Tersine lojistik, iş faaliyetlerinin çevresel ve sosyal yönlerinin sürdürülebilir kalkınmanın anahtarı olduğu günümüzde, işletmelerin rekabetçi kalabilmeleri ve kendilerine ekonomik fayda sağlayabilmeleri için oldukça önemli bir hale gelmiştir. Tersine lojistik sistemlerinin operasyonları ve yönetimi, önemli düzeyde altyapı, teknoloji, uzmanlık ve deneyim gerektiren karmaşık bir görevdir. Bu nedenle, çok sayıda işletme tersine lojistik faaliyetlerini üçüncü parti tersine lojistik servis sağlayıcılarına (3PTLS) devretme eğilimindedir. Bu noktadan hareketle bu çalışmanın amacı 3PTLS seçiminde dikkate alınacak kriterlerinin bulanık SWARA yöntemi ile değerlendirilmesi olarak belirlenmiştir. Bu doğrultuda kapsamlı bir literatür taramasının ardından, uzman bir grubun görüşü alınarak kriterler değerlendirilmiştir. Uygulama sonucunda en önemli kriterler sırasıyla müşteri memnuniyeti, çevre bilinci ve hizmet kalitesi en önemsiz kriterler ise bertaraf, geri çağırma ve sipariş yönetimi olarak belirlenmiştir.

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Cite This Article

Arsu, T., Ayçin, E. (2021). Evaluation of Third-Party Reverse Logistics Service Provider Selection Criteria with Fuzzy SWARA Method. Yaşar Üniversitesi E-Dergisi, Cilt: 16 Sayı: 63, 1282–1300. https://doi.org/10.19168/jyasar.807516

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References (30)

  1. Chang, D.Y. 1996. “Applications of the extent analysis method on fuzzy AHP.” European Journal of Operational Research, 95(3), 649-655.
  2. Cheng, Y.H., & Lee, F. 2010. “Outsourcing reverse logistics of high-tech manufacturing firms by using a systematic decision-making approach: TFT-LCD sector in Taiwan.” Industrial Marketing Management, 39(7), 1111-1119. https://doi.org/10.1016/j.indmarman.2009.10.004
  3. Efendigil, T., Önüt, S., & Kongar, E. 2008. “A holistic approach for selecting a third-party reverse logistics provider in the presence of vagueness.” Computers & Industrial Engineering, 54(2), 269-287. https://doi.org/10.1016/j.cie.2007.07.009
  4. Ginter, P.M., & Starling, J.M. 1978. “Reverse distribution channels for recycling.” California Management Review, 20(3), 72-82. https://doi.org/10.2307/41165284
  5. Govindan, K., Agarwal, V., Darbari, J.D., & Jha, P. C. 2019. “An integrated decision making model for the selection of sustainable forward and reverse logistic providers.” Annals of Operations Research, 273(1-2), 607-650. https://doi.org/10.1007/s10479-017-2654-5
  6. Govindan, K., Palaniappan, M., Zhu, Q., & Kannan, D. 2012. “Analysis of third party reverse logistics provider using interpretive structural modeling.” International Journal of Production Economics, 140(1), 204-211. https://doi.org/10.1016/j.ijpe.2012.01.043
  7. Govindan, K., Sarkis, J., & Palaniappan, M. 2013. “An analytic network process-based multicriteria decision making model for a reverse supply chain.” The International Journal of Advanced Manufacturing Technology, 68(1-4), 863-880. https://doi.org/10.1007/s00170-013-4949-2
  8. Guiltinan, J.P., & Nwokoye, N.G. 1975. “Developing distribution channels and systems in the emerging recycling industries.” International Journal of Physical Distribution, 6(1), 28-38. https://doi.org/10.1108/eb014359
  9. Hsueh, J.T., & Lin, C.Y. 2015. “Constructing a network model to rank the optimal strategy for implementing the sorting process in reverse logistics: case study of photovoltaic industry.” Clean Technologies and Environmental Policy, 17(1), 155-174. https://doi.org/10.1007/s10098-014-0770-3
  10. Jain, V., & Khan, S.A. 2017. “Application of AHP in reverse logistics service provider selection: a case study.” International Journal of Business Innovation and Research, 12(1), 94-119. https://doi.org/10.1504/IJBIR.2017.080711
  11. Kannan, G., Pokharel, S., & Kumar, P.S. 2009. “A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider.” Resources, Conservation and Recycling, 54(1), 28-36. https://doi.org/10.1016/j.resconrec.2009.06.004
  12. Keršuliene, V., Zavadskas, E.K., & Turskis, Z. 2010. “Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (SWARA).” Journal of bBusiness Economics and Management, 11(2), 243-258.
  13. Mavi, R.K., Goh, M., & Zarbakhshnia, N. 2017. “Sustainable third-party reverse logistic provider selection with fuzzy SWARA and fuzzy MOORA in plastic industry.” The International Journal of Advanced Manufacturing Technology, 91(5-8), 2401-2418. https://doi.org/10.1007/s00170-016-9880-x
  14. Meade, L., & Sarkis, J. 2002. “A conceptual model for selecting and evaluating third‐party reverse logistics providers.” Supply Chain Management: An International Journal, 7(5), 283-295. https://doi.org/10.1108/13598540210447728
  15. Min, H., & Ko, H.J. 2008. “The dynamic design of a reverse logistics network from the perspective of third-party logistics service providers.” International Journal of Production Economics, 113(1), 176-192. https://doi.org/10.1016/j.ijpe.2007.01.017
  16. Perçin, S. 2019. “An integrated fuzzy SWARA and fuzzy AD approach for outsourcing provider selection.” Journal of Manufacturing Technology Management, 30(2), 531-552.
  17. Prakash, C., & Barua, M.K. 2016a. “An analysis of integrated robust hybrid model for third-party reverse logistics partner selection under fuzzy environment.” Resources, Conservation and Recycling, 108, 63-81. https://doi.org/10.1016/j.resconrec.2015.12.011
  18. Prakash, C., & Barua, M.K. 2016b. “A combined MCDM approach for evaluation and selection of third-party reverse logistics partner for Indian electronics industry.” Sustainable Production and Consumption, 7, 66-78. https://doi.org/10.1016/j.spc.2016.04.001
  19. Rogers, D. S., & Tibben‐Lembke, R. 2001. “An examination of reverse logistics practices.” Journal of Business Logistics, 22(2), 129-148. https://doi.org/10.1002/j.2158-1592.2001.tb00007.x
  20. Saen, R.F. 2009. “A mathematical model for selecting third-party reverse logistics providers.” International Journal of Procurement Management, 2(2), 180-190. https://doi.org/10.1504/IJPM.2009.023406
  21. Saen, R.F. 2010. “A new model for selecting third-party reverse logistics providers in the presence of multiple dual-role factors.” The International Journal of Advanced Manufacturing Technology, 46(1-4), 405-410. https://doi.org/10.1007/s00170-009-2092-x
  22. Sasikumar, P. & Haq, A.N. 2011. “Integration of closed loop distribution supply chain network and 3PRLP selection for the case of battery recycling.” International Journal of Production Research, 49(11), 3363-3385. https://doi.org/10.1080/00207541003794876
  23. Senthil, S., Srirangacharyulu, B., & Ramesh, A. 2014. “A robust hybrid multi-criteria decision making methodology for contractor evaluation and selection in third-party reverse logistics.” Expert Systems with Applications, 41(1), 50-58. https://doi.org/10.1016/j.eswa.2013.07.010
  24. Suyabatmaz, A.Ç., Altekin, F.T., & Şahin, G. 2014. “Hybrid simulation-analytical modeling approaches for the reverse logistics network design of a third-party logistics provider.” Computers & Industrial Engineering, 70, 74-89. https://doi.org/10.1016/j.cie.2014.01.004
  25. Tavana, M., Zareinejad, M., Santos-Arteaga, F.J., & Kaviani, M.A. 2016. “A conceptual analytic network model for evaluating and selecting third-party reverse logistics providers.” The International Journal of Advanced Manufacturing Technology, 86(5-8), 1705-1721. https://doi.org/10.1007/s00170-015-8208-6
  26. Xiangru, M. 2008. “Study of evaluation and selection on third party reverse logistics providers.” In 2008 International Seminar on Business and Information Management (Vol. 1, pp. 518-521). IEEE.
  27. Zarbakhshnia, N., Soleimani, H., & Ghaderi, H. 2018. “Sustainable third-party reverse logistics provider evaluation and selection using fuzzy SWARA and developed fuzzy COPRAS in the presence of risk criteria.” Applied Soft Computing, 65, 307-319.
  28. Zarbakhshnia, N., Wu, Y., Govindan, K., & Soleimani, H. 2020. “A novel hybrid multiple attribute decision-making approach for outsourcing sustainable reverse logistics.” Journal of Cleaner Production, 242, 118461. https://doi.org/10.1016/j.jclepro.2019.118461
  29. Zhang, Y., & Feng, Y. 2007. “A selection approach of reverse logistics provider based on fuzzy AHP.” In Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007 August) (Vol. 3, pp. 479-482). IEEE.
  30. Zikmund, W.G., & Stanton, W.J. 1971. “Recycling solid wastes: a channels-of-distribution problem.” Journal of Marketing, 35(3), 34-39. https://doi.org/10.1177/002224297103500306