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A genetic algorithm approach to developing the multi-echelon reverse logistics network for product returns

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  1. Georgiadis, Patroklos & Athanasiou, Efstratios, 2013. "Flexible long-term capacity planning in closed-loop supply chains with remanufacturing," European Journal of Operational Research, Elsevier, vol. 225(1), pages 44-58.
  2. Yıldız, Gazi Bilal & Soylu, Banu, 2019. "A multiobjective post-sales guarantee and repair services network design problem," International Journal of Production Economics, Elsevier, vol. 216(C), pages 305-320.
  3. Xuehong Gao, 2019. "A Novel Reverse Logistics Network Design Considering Multi-Level Investments for Facility Reconstruction with Environmental Considerations," Sustainability, MDPI, vol. 11(9), pages 1-22, May.
  4. Aras, Necati & Aksen, Deniz, 2008. "Locating collection centers for distance- and incentive-dependent returns," International Journal of Production Economics, Elsevier, vol. 111(2), pages 316-333, February.
  5. Aiolfi Simone & Edoardo Sabbadin, 2017. "The New Paradigm of the Omnichannel Retailing: Key Drivers, New Challenges and Potential Outcomes Resulting from the Adoption of an Omnichannel Approach," International Journal of Business and Management, Canadian Center of Science and Education, vol. 13(1), pages 1-85, December.
  6. Gołębiewski, Bronisław & Trajer, Jędrzej & Jaros, Małgorzata & Winiczenko, Radosław, 2013. "Modelling of the location of vehicle recycling facilities: A case study in Poland," Resources, Conservation & Recycling, Elsevier, vol. 80(C), pages 10-20.
  7. Alexander Hübner & Andreas Holzapfel & Heinrich Kuhn, 2016. "Distribution systems in omni-channel retailing," Business Research, Springer;German Academic Association for Business Research, vol. 9(2), pages 255-296, August.
  8. Schweiger, Katharina & Sahamie, Ramin, 2013. "A hybrid Tabu Search approach for the design of a paper recycling network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 50(C), pages 98-119.
  9. Adrian MICU & Angela Eliza MICU & Kamer AIVAZ & Alexandru CAPATINA, 2016. "The Genetic Approach Of Marketing Research," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(3), pages 229-246.
  10. James J.H. Liou & Jolanta Tamošaitienė & Edmundas K. Zavadskas & Gwo-Hshiung Tzeng, 2016. "New hybrid COPRAS-G MADM Model for improving and selecting suppliers in green supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 114-134, January.
  11. Janjevic, Milena & Merchán, Daniel & Winkenbach, Matthias, 2021. "Designing multi-tier, multi-service-level, and multi-modal last-mile distribution networks for omni-channel operations," European Journal of Operational Research, Elsevier, vol. 294(3), pages 1059-1077.
  12. Liang, Wen-Yau & Huang, Chun-Che, 2008. "A hybrid approach to constrained evolutionary computing: Case of product synthesis," Omega, Elsevier, vol. 36(6), pages 1072-1085, December.
  13. Tai, Allen H. & Ching, Wai-Ki, 2014. "Optimal inventory policy for a Markovian two-echelon system with returns and lateral transshipment," International Journal of Production Economics, Elsevier, vol. 151(C), pages 48-55.
  14. Saeid Rezaei & Amirsaman Kheirkhah, 2018. "A comprehensive approach in designing a sustainable closed-loop supply chain network using cross-docking operations," Computational and Mathematical Organization Theory, Springer, vol. 24(1), pages 51-98, March.
  15. Ayvaz, Berk & Bolat, Bersam & Aydın, Nezir, 2015. "Stochastic reverse logistics network design for waste of electrical and electronic equipment," Resources, Conservation & Recycling, Elsevier, vol. 104(PB), pages 391-404.
  16. Melo, M.T. & Nickel, S. & Saldanha-da-Gama, F., 2009. "Facility location and supply chain management - A review," European Journal of Operational Research, Elsevier, vol. 196(2), pages 401-412, July.
  17. Xu, Xun & Jackson, Jonathan E., 2019. "Investigating the influential factors of return channel loyalty in omni-channel retailing," International Journal of Production Economics, Elsevier, vol. 216(C), pages 118-132.
  18. Zhanwei Tian & Guoqing Zhang, 2021. "Multi-echelon fulfillment warehouse rent and production allocation for online direct selling," Annals of Operations Research, Springer, vol. 304(1), pages 427-451, September.
  19. Agatz, Niels A.H. & Fleischmann, Moritz & van Nunen, Jo A.E.E., 2008. "E-fulfillment and multi-channel distribution - A review," European Journal of Operational Research, Elsevier, vol. 187(2), pages 339-356, June.
  20. Vahid Azizi & Guiping Hu, 2021. "A Multi-Stage Stochastic Programming Model for the Multi-Echelon Multi-Period Reverse Logistics Problem," Sustainability, MDPI, vol. 13(24), pages 1-15, December.
  21. Mahmoudzadeh, Mahdi & Mansour, Saeed & Karimi, Behrouz, 2013. "To develop a third-party reverse logistics network for end-of-life vehicles in Iran," Resources, Conservation & Recycling, Elsevier, vol. 78(C), pages 1-14.
  22. Diabat, Ali & Kannan, Devika & Kaliyan, Mathiyazhagan & Svetinovic, Davor, 2013. "An optimization model for product returns using genetic algorithms and artificial immune system," Resources, Conservation & Recycling, Elsevier, vol. 74(C), pages 156-169.
  23. Farheen Naz & Rohit Agrawal & Anil Kumar & Angappa Gunasekaran & Abhijit Majumdar & Sunil Luthra, 2022. "Reviewing the applications of artificial intelligence in sustainable supply chains: Exploring research propositions for future directions," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 2400-2423, July.
  24. Zhao, Ze & Wang, Jianzhou & Zhao, Jing & Su, Zhongyue, 2012. "Using a Grey model optimized by Differential Evolution algorithm to forecast the per capita annual net income of rural households in China," Omega, Elsevier, vol. 40(5), pages 525-532.
  25. Fatih Rahim & Canan Sepil, 2014. "A location-routing problem in glass recycling," Annals of Operations Research, Springer, vol. 223(1), pages 329-353, December.
  26. L K Chu & Y Shi & S Lin & D Sculli & J Ni, 2010. "Fuzzy chance-constrained programming model for a multi-echelon reverse logistics network for household appliances," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(4), pages 551-560, April.
  27. Li, Gang & Jiang, Hongxun & He, Tian, 2015. "A genetic algorithm-based decomposition approach to solve an integrated equipment-workforce-service planning problem," Omega, Elsevier, vol. 50(C), pages 1-17.
  28. Vahdani, Behnam & Tavakkoli-Moghaddam, Reza & Modarres, Mohammad & Baboli, Armand, 2012. "Reliable design of a forward/reverse logistics network under uncertainty: A robust-M/M/c queuing model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(6), pages 1152-1168.
  29. Vidovic, Milorad & Dimitrijevic, Branka & Ratkovic, Branislava & Simic, Vladimir, 2011. "A novel covering approach to positioning ELV collection points," Resources, Conservation & Recycling, Elsevier, vol. 57(C), pages 1-9.
  30. Tang, Shao-Long & Yan, Hong, 2010. "Pre-distribution vs. post-distribution for cross-docking with transshipments," Omega, Elsevier, vol. 38(3-4), pages 192-202, June.
  31. Tosarkani, Babak Mohamadpour & Amin, Saman Hassanzadeh & Zolfagharinia, Hossein, 2020. "A scenario-based robust possibilistic model for a multi-objective electronic reverse logistics network," International Journal of Production Economics, Elsevier, vol. 224(C).
  32. Anil Jindal & Kuldip Singh Sangwan, 2017. "Multi-objective fuzzy mathematical modelling of closed-loop supply chain considering economical and environmental factors," Annals of Operations Research, Springer, vol. 257(1), pages 95-120, October.
  33. Qin, Zhongfeng & Ji, Xiaoyu, 2010. "Logistics network design for product recovery in fuzzy environment," European Journal of Operational Research, Elsevier, vol. 202(2), pages 479-490, April.
  34. Zikopoulos, Christos & Tagaras, George, 2007. "Impact of uncertainty in the quality of returns on the profitability of a single-period refurbishing operation," European Journal of Operational Research, Elsevier, vol. 182(1), pages 205-225, October.
  35. Barker, Theresa J. & Zabinsky, Zelda B., 2011. "A multicriteria decision making model for reverse logistics using analytical hierarchy process," Omega, Elsevier, vol. 39(5), pages 558-573, October.
  36. Beste Desticioglu & Hatice Calipinar & Bahar Ozyoruk & Erdinc Koc, 2022. "Model for Reverse Logistic Problem of Recycling under Stochastic Demand," Sustainability, MDPI, vol. 14(8), pages 1-19, April.
  37. Srivastava, Samir K., 2008. "Network design for reverse logistics," Omega, Elsevier, vol. 36(4), pages 535-548, August.
  38. Ruiz-Benítez, Rocío & Ketzenberg, Michael & van der Laan, Erwin A., 2014. "Managing consumer returns in high clockspeed industries," Omega, Elsevier, vol. 43(C), pages 54-63.
  39. Pradip K. Bhaumik, 2015. "Supply Chain Network Design Based on Integration of Forward and Reverse Logistics," Global Business Review, International Management Institute, vol. 16(4), pages 680-699, August.
  40. Pournader, Mehrdokht & Ghaderi, Hadi & Hassanzadegan, Amir & Fahimnia, Behnam, 2021. "Artificial intelligence applications in supply chain management," International Journal of Production Economics, Elsevier, vol. 241(C).
  41. Gamberini, Rita & Gebennini, Elisa & Manzini, Riccardo & Ziveri, Andrea, 2010. "On the integration of planning and environmental impact assessment for a WEEE transportation network—A case study," Resources, Conservation & Recycling, Elsevier, vol. 54(11), pages 937-951.
  42. Aras, Necati & Aksen, Deniz & Gönül Tanugur, Ayse, 2008. "Locating collection centers for incentive-dependent returns under a pick-up policy with capacitated vehicles," European Journal of Operational Research, Elsevier, vol. 191(3), pages 1223-1240, December.
  43. Aksen, Deniz & Aras, Necati & Karaarslan, Ayse Gönül, 2009. "Design and analysis of government subsidized collection systems for incentive-dependent returns," International Journal of Production Economics, Elsevier, vol. 119(2), pages 308-327, June.
  44. Yong-Tong Chen & Zhong-Chen Cao, 2020. "An Investigation on a Closed-Loop Supply Chain of Product Recycling Using a Multi-Agent and Priority Based Genetic Algorithm Approach," Mathematics, MDPI, vol. 8(6), pages 1-20, June.
  45. Zhou, Xiaoguang & Zhou, Yanhui, 2015. "Designing a multi-echelon reverse logistics operation and network: A case study of office paper in Beijing," Resources, Conservation & Recycling, Elsevier, vol. 100(C), pages 58-69.
  46. Mohsen Zamani & Mahdi Abolghasemi & Seyed Mohammad Seyed Hosseini & Mir Saman Pishvaee, 2019. "Considering pricing and uncertainty in designing a reverse logistics network," Papers 1909.11633, arXiv.org.
  47. Cardoso, Sónia R. & Barbosa-Póvoa, Ana Paula F.D. & Relvas, Susana, 2013. "Design and planning of supply chains with integration of reverse logistics activities under demand uncertainty," European Journal of Operational Research, Elsevier, vol. 226(3), pages 436-451.
  48. Georgiadis, Patroklos & Athanasiou, Efstratios, 2010. "The impact of two-product joint lifecycles on capacity planning of remanufacturing networks," European Journal of Operational Research, Elsevier, vol. 202(2), pages 420-433, April.
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