Referanslar

• Parhi S, Joshi K, Gunasekaran A, Sethuraman K. Reflecting on an empirical study of the digitalization ini-tiatives for sustainability on logistics: The concept of sustainable logistics 4.0. Clean. Logist. Supply Chain 2022;4(100058):100058. google scholar
• Abbasi M, Nilsson F. Developing environmentally sustainable logistics: Exploring themes and challenges from a logistics service providers’ perspective. Transp Res D Transp Environ 2016;46:273-83. google scholar
• Yousefi S, Tosarkani BM. Exploring the role of blockchain technology in improving sustainable supply chain performance: A system-analysis-based approach. IEEE Trans Eng Manage 2023;1-17. google scholar
• Osintsev N, Rakhmangulov A, Sladkowski A, Dyorina N. Logistic flow control system in green supply chains. In: Ecology in Transport: Problems and Solutions. Cham: Springer International Publishing; 2020. p. 311-80. google scholar
• Zarbakhshnia N, Soleimani H, Ghaderi H. Sustainable third-party reverse logistics provider evaluation and selection using fuzzy SWARA and developed fuzzy COPRAS in the presence of risk criteria. Appl Soft Comput 2018;65:307-19. google scholar
• Yousefi S, Tosarkani BM. The adoption of new technologies for sustainable risk management in logistics planning: A sequential dynamic approach. Comput Ind Eng 2022;173(108627):108627. google scholar
• Panjehfouladgaran H, Lim SFWT. Reverse logistics risk management: identification, clustering and risk mitigation strategies. Manag Decis 2020;58(7):1449-74. google scholar
• Ho W, Zheng T, Yildiz H, Talluri S. Supply chain risk management: a literature review. Int J Prod Res 2015;53(16):5031-69. google scholar
• Yousefi S, Valipour M, Gul M. Systems failure analysis using Z-number theory-based combined compromise solution and full consistency method. Appl Soft Comput 2021;113(107902):107902. google scholar
• Waters D. Supply chain risk management: vulnerability and resilience in logistics. Kogan Page Publishers; 2011. google scholar
• Giannakis M, Papadopoulos T. Supply chain sustainability: A risk management approach. Int J Prod Econ 2016;171:455-70. google scholar
• Panjehfouladgaran H, Lim SFWT. Reverse logistics risk management: identification, clustering and risk mitigation strategies. Manag Decis 2020;58(7):1449-74. google scholar
• Senthil S, Murugananthan K, Ramesh A. Analysis and prioritisation of risks in a reverse logistics network using hybrid multi-criteria decision making methods. J Clean Prod 2018;179:716-30. google scholar
• Paredes-Rodriguez AM, Grisales-Aguirre AF, Sanchez-Zambrano DA. Operational risk management in the reverse logistics process of used vehicle oil. Revista Facultad de Ingenieria. 2022;(61). google scholar
• Barongo OG, Numfor SA, Kosacka-Olejnik M. Modeling a Reverse Logistics Supply Chain for End-of-Life Vehicle Recycling Risk Management: A Fuzzy Risk Analysis Approach. Sustain 2023;15(3). google scholar
• Huizhe, Y., & Donglin, Y. (2009, May). Research on risk assessment of reverse logistics of retailing based on unascertained measurement. In 2009 International Workshop on Intelligent Systems and Applications. In. google scholar
• Huizhe, Y., & Lihua, M. (2009, August). Study on effective index of retailing reverse logistics risk factors evaluation and application. In 2009 2nd IEEE International Conference on Computer Science and Informa-tion Technology (pp. 325-327). IEEE. In. google scholar
• Yan H, Yan P, Ma L. Retailing reverse logistics risk factors assessment based on triangular fuzzy number. In: 2009 Second International Symposium on Knowledge Acquisition and Modeling. IEEE; 2009. google scholar
• Meng XR. The risk analysis of reverse logistics outsourcing based the fuzzy comprehensive analysis method. Adv Mat Res 2010^08-111:1113-8. google scholar
• Zhou Y, Zhang Y, Zong K. SME reverse logistics outsourcing risk analysis and strategies based on fuzzy comprehensive evaluation. In: Communications in Computer and Information Science. Berlin, Heidelberg: Springer Berlin Heidelberg; 2011. p. 347-53. google scholar
• Insuasty-Reina JG, Tascon-Rueda JA, Osorio-Gomez JC. Prioritization of Operational Risks in a Reverse Logistics Network for the Recovery of Waste Cooking Oil (WCO). J Sci & Ind Res 2022;81(03):226-35. google scholar
• Duran F, Bereketli Zafeirakopoulos İ. Environmental risk assessment of e-waste in reverse logistics systems using MCDM methods. In: Proceedings of the International Symposium for Production Research. Springer International Publishing; 2019. p. 590-603. google scholar
• Rostamzadeh R, Ghorabaee MK, Govindan K, Esmaeili A, Nobar HBK. Evaluation of sustainable supply chain risk management using an integrated fuzzy TOPSIS-CRITIC approach. J Clean Prod 2018;175:651-69. google scholar
• Wang L, Cheng Y, Wang Z. Risk management in sustainable supply chain: a knowledge map towards intel-lectual structure, logic diagram, and conceptual model. Environ Sci Pollut Res Int 2022;29(44):66041-67. google scholar
• Jayasinghe RS, Rameezdeen R, Chileshe N. Modelling the cause and effect relationship risks in reverse logistics supply chains for demolition waste. Eng Constr Archit Manag 2022. google scholar
• Banisalam, S. A risk management tool for the reverse supply chain network. MSc Thesis. 2008. google scholar
• Gul M, Yucesan M, Ak MF. Control measure prioritization in Fine- Kinney-based risk assessment: a Baye-sian BWM-Fuzzy VIKOR combined approach in an oil station. Environ Sci Pollut Res 2022;29(39):59385-402. google scholar