Benders decomposition for the distributionally robust optimization of pricing and reverse logistics network design in remanufacturing systems
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DOI: 10.1016/j.ejor.2021.04.039
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- Yang, Cheng-Hu & Su, Xiao-Li & Ma, Xin & Talluri, Srinivas, 2024. "A data-driven distributionally robust optimization approach for the core acquisition problem," European Journal of Operational Research, Elsevier, vol. 318(1), pages 253-268.
- Zhengying Cai & Yuanyuan Yang & Xiangling Zhang & Yan Zhou, 2022. "Design a Robust Logistics Network with an Artificial Physarum Swarm Algorithm," Sustainability, MDPI, vol. 14(22), pages 1-24, November.
- Shi, Jianmai & Chen, Wenyi & Verter, Vedat, 2023. "The joint impact of environmental awareness and system infrastructure on e-waste collection," European Journal of Operational Research, Elsevier, vol. 310(2), pages 760-772.
- Wang, Yong & Luo, Siyu & Fan, Jianxin & Zhen, Lu, 2024. "The multidepot vehicle routing problem with intelligent recycling prices and transportation resource sharing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
- Lin Chen & Ting Dong & Jin Peng & Dan Ralescu, 2023. "Uncertainty Analysis and Optimization Modeling with Application to Supply Chain Management: A Systematic Review," Mathematics, MDPI, vol. 11(11), pages 1-45, May.
- Liu, Baolong & Papier, Felix, 2022. "Remanufacturing of multi-component systems with product substitution," European Journal of Operational Research, Elsevier, vol. 301(3), pages 896-911.
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Keywords
Location; Reverse logistics network; Quality uncertainty; Distributionally robust optimization; Benders decomposition;All these keywords.
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