Araştırma Makalesi
BibTex RIS Kaynak Göster

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

Yıl 2021, Cilt: 16 Sayı: 63, 1282 - 1300, 31.07.2021
https://doi.org/10.19168/jyasar.807516

Öz

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.

Kaynakça

  • Chang, D.Y. 1996. “Applications of the extent analysis method on fuzzy AHP.” European Journal of Operational Research, 95(3), 649-655.
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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.
  • 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
  • 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
  • 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
  • Perçin, S. 2019. “An integrated fuzzy SWARA and fuzzy AD approach for outsourcing provider selection.” Journal of Manufacturing Technology Management, 30(2), 531-552.
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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.
  • 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.
  • 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
  • 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.
  • 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

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

Yıl 2021, Cilt: 16 Sayı: 63, 1282 - 1300, 31.07.2021
https://doi.org/10.19168/jyasar.807516

Öz

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.

Kaynakça

  • Chang, D.Y. 1996. “Applications of the extent analysis method on fuzzy AHP.” European Journal of Operational Research, 95(3), 649-655.
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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.
  • 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
  • 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
  • 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
  • Perçin, S. 2019. “An integrated fuzzy SWARA and fuzzy AD approach for outsourcing provider selection.” Journal of Manufacturing Technology Management, 30(2), 531-552.
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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.
  • 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.
  • 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
  • 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.
  • 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
Toplam 30 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Makaleler
Yazarlar

Talip Arsu 0000-0002-2580-166X

Ejder Ayçin 0000-0002-0153-8430

Yayımlanma Tarihi 31 Temmuz 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 16 Sayı: 63

Kaynak Göster

APA Arsu, T., & Ayçin, E. (2021). Üçüncü Parti Tersine Lojistik Servis Sağlayıcısı Seçimi Kriterlerinin Bulanık SWARA Yöntemi ile Değerlendirilmesi. Yaşar Üniversitesi E-Dergisi, 16(63), 1282-1300. https://doi.org/10.19168/jyasar.807516
AMA Arsu T, Ayçin E. Üçüncü Parti Tersine Lojistik Servis Sağlayıcısı Seçimi Kriterlerinin Bulanık SWARA Yöntemi ile Değerlendirilmesi. Yaşar Üniversitesi E-Dergisi. Temmuz 2021;16(63):1282-1300. doi:10.19168/jyasar.807516
Chicago Arsu, Talip, ve Ejder Ayçin. “Üçüncü Parti Tersine Lojistik Servis Sağlayıcısı Seçimi Kriterlerinin Bulanık SWARA Yöntemi Ile Değerlendirilmesi”. Yaşar Üniversitesi E-Dergisi 16, sy. 63 (Temmuz 2021): 1282-1300. https://doi.org/10.19168/jyasar.807516.
EndNote Arsu T, Ayçin E (01 Temmuz 2021) Üçüncü Parti Tersine Lojistik Servis Sağlayıcısı Seçimi Kriterlerinin Bulanık SWARA Yöntemi ile Değerlendirilmesi. Yaşar Üniversitesi E-Dergisi 16 63 1282–1300.
IEEE T. Arsu ve E. Ayçin, “Üçüncü Parti Tersine Lojistik Servis Sağlayıcısı Seçimi Kriterlerinin Bulanık SWARA Yöntemi ile Değerlendirilmesi”, Yaşar Üniversitesi E-Dergisi, c. 16, sy. 63, ss. 1282–1300, 2021, doi: 10.19168/jyasar.807516.
ISNAD Arsu, Talip - Ayçin, Ejder. “Üçüncü Parti Tersine Lojistik Servis Sağlayıcısı Seçimi Kriterlerinin Bulanık SWARA Yöntemi Ile Değerlendirilmesi”. Yaşar Üniversitesi E-Dergisi 16/63 (Temmuz 2021), 1282-1300. https://doi.org/10.19168/jyasar.807516.
JAMA Arsu T, Ayçin E. Üçüncü Parti Tersine Lojistik Servis Sağlayıcısı Seçimi Kriterlerinin Bulanık SWARA Yöntemi ile Değerlendirilmesi. Yaşar Üniversitesi E-Dergisi. 2021;16:1282–1300.
MLA Arsu, Talip ve Ejder Ayçin. “Üçüncü Parti Tersine Lojistik Servis Sağlayıcısı Seçimi Kriterlerinin Bulanık SWARA Yöntemi Ile Değerlendirilmesi”. Yaşar Üniversitesi E-Dergisi, c. 16, sy. 63, 2021, ss. 1282-00, doi:10.19168/jyasar.807516.
Vancouver Arsu T, Ayçin E. Üçüncü Parti Tersine Lojistik Servis Sağlayıcısı Seçimi Kriterlerinin Bulanık SWARA Yöntemi ile Değerlendirilmesi. Yaşar Üniversitesi E-Dergisi. 2021;16(63):1282-300.