Open Access
RAIRO-Oper. Res.
Volume 58, Number 1, January-February 2024
Page(s) 681 - 712
Published online 22 February 2024
  • R. Addo-Tenkorang and P.T. Helo, Big data applications in operations/supply-chain management: a literature review. Comput. Ind. Eng. 101 (2016) 528–543. [CrossRef] [Google Scholar]
  • W. Bian, J. Shang and J. Zhang, Two-way information sharing under supply chain competition. Int. J. Prod. Econ. 178 (2016) 82–94. [Google Scholar]
  • P. De Giovanni, P.V. Reddy and G. Zaccour, Incentive strategies for an optimal recovery program in a closed-loop supply chain. Eur. J. Oper. Res. 249 (2016) 605–617. [Google Scholar]
  • P. Georgiadis and M. Besiou, Environmental and economical sustainability of WEEE closed-loop supply chains with recycling: a system dynamics analysis. Int. J. Adv. Manuf. Technol. 47 (2009) 475–493. [Google Scholar]
  • A. Goli, Integration of blockchain-enabled closed-loop supply chain and robust product portfolio design. Comput. Ind. Eng. 179 (2023) 109211. [CrossRef] [Google Scholar]
  • I.-H. Hong and J.-S. Yeh, Modeling closed-loop supply chains in the electronics industry: a retailer collection application. Transp. Res. Part E: Logistics Transp. Rev. 48 (2012) 817–829. [Google Scholar]
  • X. Hong, Z. Wang, D. Wang and H. Zhang, Decision models of closed-loop supply chain with remanufacturing under hybrid dual-channel collection. Int. J. Adv. Manuf. Technol. 68 (2013) 1851–1865. [CrossRef] [Google Scholar]
  • H. Hu, Y. Li and M. Li, Decisions and coordination of green supply chain considering big data targeted advertising. J. Theor. Appl. Electron. Commerce Res. 17 (2022) 1035–1056. [CrossRef] [Google Scholar]
  • Z. Jiao, L. Ran, Y. Zhang, Z. Li and W. Zhang, Data-driven approaches to integrated closed-loop sustainable supply chain design under multi-uncertainties. J. Cleaner Prod. 185 (2018) 105–127. [CrossRef] [Google Scholar]
  • F. Kong and H. Lu, Research on online shopping packaging recycling strategy under big data environment. J. Phys.: Conf. Ser. 1883 (2021) 012153. [CrossRef] [Google Scholar]
  • C. Li, L. Feng and S. Luo, Strategic introduction of an online recycling channel in the reverse supply chain with a random demand. J. Cleaner Prod. 236 (2019) 117683. [CrossRef] [Google Scholar]
  • K. Liu and C. Wang, The impacts of subsidy policies and channel encroachment on the power battery recycling of new energy vehicles. Int. J. Low-Carbon Technol. 16 (2021) 770–789. [CrossRef] [Google Scholar]
  • X. Long, J. Ge, T. Shu and Y. Liu, Analysis for recycling and remanufacturing strategies in a supply chain considering consumers’ heterogeneous WTP. Res. Conserv. Recycl. 148 (2019) 80–90. [CrossRef] [Google Scholar]
  • R. Lotfi, Y.Z. Mehrjerdi, M.S. Pishvaee, A. Sadeghieh and G.-W. Weber, A robust optimization model for sustainable and resilient closed-loop supply chain network design considering conditional value at risk. Numer. Algebra Control Optim. 11 (2021) 33. [Google Scholar]
  • D. Ma and J. Hu, Research on collaborative management strategies of closed-loop supply chain under the influence of big-data marketing and reference price effect. Sustainability 12 (2020) 1685. [CrossRef] [Google Scholar]
  • C. Ma and D. Huang, Research on the impact of green innovation alliance mode on decision-making of two-cycle closed-loop supply chain. J. Comb. Optim. 39 (2019) 519–546. [Google Scholar]
  • J. Mageto, Big data analytics in sustainable supply chain management: a focus on manufacturing supply chains. Sustainability 13 (2021) 7101. [CrossRef] [Google Scholar]
  • V. Mani, C. Delgado, B. Hazen and P. Patel, Mitigating supply chain risk via sustainability using big data analytics: evidence from the manufacturing supply chain. Sustainability 9 (2017) 608. [CrossRef] [Google Scholar]
  • Y. Ranjbar, H. Sahebi, J. Ashayeri and A. Teymouri, A competitive dual recycling channel in a three-level closed loop supply chain under different power structures: pricing and collecting decisions. J. Cleaner Prod. 272 (2020) 122623. [CrossRef] [Google Scholar]
  • M. Raweewan and W.G. Ferrell, Information sharing in supply chain collaboration. Comput. Ind. Eng. 126 (2018) 269–281. [CrossRef] [Google Scholar]
  • R. Sadeghi, A.A. Taleizadeh, F.T.S. Chan and J. Heydari, Coordinating and pricing decisions in two competitive reverse supply chains with different channel structures. Int. J. Prod. Res. 57 (2018) 2601–2625. [Google Scholar]
  • R.C. Savaskan, S. Bhattacharya and L.N. Van Wassenhove, Closed-loop supply chain models with product remanufacturing. Manage. Sci. 50 (2004) 239–252. [Google Scholar]
  • D. Shin and A. Zeevi, Product quality and information sharing in the presence of reviews. Manage. Sci. DOI: 10.1287/mnsc.2023.4746. [Google Scholar]
  • J. Song, Y. Bian and G. Liu, Decisions of closed-loop supply chain based on recycling effort and differential game. Discrete Dyn. Nat. Soc. 2020 (2020) 1–19. [Google Scholar]
  • P. Suvadarshini, I. Biswas and S.K. Srivastava, Impact of reverse channel competition, individual rationality, and information asymmetry on multi-channel closed-loop supply chain design. Int. J. Prod. Econ. 259 (2023) 108818. [CrossRef] [Google Scholar]
  • N. Wang, Q. He and B. Jiang, Hybrid closed-loop supply chains with competition in recycling and product markets. Int. J. Prod. Econ. 217 (2019) 246–258. [CrossRef] [Google Scholar]
  • T.-Y. Wang, Z.-Q. Wang and P. He, Impact of information sharing modes on the dual-channel closed loop supply chains under different power structures. Asia-Pac. J. Oper. Res. 38 (2021) 2050051. [CrossRef] [Google Scholar]
  • Z. Wu, X. Qian, M. Huang, W.-K. Ching, H. Kuang and X. Wang, Channel leadership and recycling channel in closed-loop supply chain: the case of recycling price by the recycling party. J. Ind. Manage. Optim. 17 (2021) 3247–3268. [CrossRef] [Google Scholar]
  • H. Yu, H. Dai, G. Tian, Y. Xie, B. Wu, Y. Zhu, H. Li and H. Wu, Big-data-based power battery recycling for new energy vehicles: information sharing platform and intelligent transportation optimization. IEEE Access 8 (2020) 99605–99623. [CrossRef] [Google Scholar]
  • X.-M. Zhang, Q.-W. Li, Z. Liu and C.-T. Chang, Optimal pricing and remanufacturing mode in a closed-loop supply chain of WEEE under government fund policy. Comput. Ind. Eng. 151 (2021) 106951. [CrossRef] [Google Scholar]
  • Q. Zhang, Y. Tang, D. Bunn, H. Li and Y. Li, Comparative evaluation and policy analysis for recycling retired EV batteries with different collection modes. Appl. Energy 303 (2021) 117614. [CrossRef] [Google Scholar]
  • H. Zhang, X. Hong and X. Cao, To share or not to share? The role of retailer’s information sharing in a closed-loop supply chain. Front Psychol. 13 (2022) 941952. [CrossRef] [Google Scholar]
  • Y. Zhao, W. Wang and Y. Ni, EPR system based on a reward and punishment mechanism: producer-led product recycling channels. Waste Manage. 103 (2020) 198–207. [CrossRef] [Google Scholar]
  • B. Zheng, J. Chu and L. Jin, Recycling channel selection and coordination in dual sales channel closed-loop supply chains. Appl. Math. Modell. 95 (2021) 484–502. [CrossRef] [Google Scholar]
  • B. Zheng, K. Wen, L. Jin and X. Hong, Alliance or cost-sharing? Recycling cooperation mode selection in a closed-loop supply chain. Sustainable Prod. Consumption 32 (2022) 942–955. [CrossRef] [Google Scholar]
  • Z. Zhou, B. Gu and M. Chen, Analysis of coordinated pricing model of closed-loop supplying chain based on game theory in e-commerce environment. J. Math. 2022 (2022) 1–12. [CrossRef] [Google Scholar]
  • M. Zhu, X. Li, L. Zhu, X. Zhan and J. Ma, Dynamic evolutionary games and coordination of multiple recycling channels considering online recovery platform. Discrete Dyn. Nat. Soc. 2021 (2021) 1–17. [Google Scholar]
  • M. Zu- Jun, N. Zhang, Y. Dai and S. Hu, Managing channel profits of different cooperative models in closed-loop supply chains. Omega 59 (2016) 251–262. [CrossRef] [Google Scholar]

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