Open Access
Issue |
RAIRO-Oper. Res.
Volume 58, Number 5, September-October 2024
|
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Page(s) | 4145 - 4180 | |
DOI | https://doi.org/10.1051/ro/2024145 | |
Published online | 14 October 2024 |
- V. Babich and G. Hilary, OM Forum – Distributed ledgers and operations: What operations management researchers should know about blockchain technology. Manuf. Serv. Oper. Manage. 22 (2020) 223–240. [CrossRef] [Google Scholar]
- Z. Basiri and J. Heydari, A mathematical model for green supply chain coordination with substitutable products. J. Clean. Prod. 145 (2017) 232–249. [CrossRef] [Google Scholar]
- S. Benjaafar, Y. Li and M. Daskin, Carbon footprint and the management of supply chains: insights from simple models. IEEE Trans. Autom. Sci. Eng. 10 (2012) 99–116. [Google Scholar]
- Y.C. Chang, Quantum game perspective on green product optimal pricing under emission reduction cooperation of dual-channel supply chain. J. Bus. Ind. Market. 38 (2023) 74–91. [CrossRef] [Google Scholar]
- D. Chen, Y. Zhang, X. Hong, Q.F. Chen and J. Zhang, Non-cooperative game and cooperative operation of multi-level supply chain under background of carbon emission reduction. IEEE Access 10 (2022) 33015–33025. [CrossRef] [Google Scholar]
- S.S. Chen, F. Zhang and D.D. Li, Differential game and coordination model for green supply chain based on green technology R&D. Chin. J. Manage. Sci. 30 (2022) 95–105. [Google Scholar]
- X.Q. Chen, C.Q. Ma, Y.S. Ren and Y.T. Lei, Carbon allowance auction design of China’s ETS: a comprehensive hierarchical system based on blockchain. Int. Rev. Econ. Finan. 88 (2023) 1003–1019. [CrossRef] [Google Scholar]
- N.C. Dormady, Carbon auctions, energy markets and market power: an experimental analysis. Energy Econ. 44 (2014) 468–482. [CrossRef] [Google Scholar]
- W.P. Fan, X.P. Wang, M.W. Liu and H. Fu, Supply chain coordination optimization of retailer’s equity holdings in manufacturer’s carbon-reducing investment. Syst. Eng.-Theory Pract. 41 (2021) 2316–2326. [Google Scholar]
- M. Fu, W. Wu, L. Tian, Z. Zhen and J. Ye, Analysis of emission reduction mechanism of high-tiered carbon tax under green and low carbon behavior. Energies 16 (2023) 7555. [CrossRef] [Google Scholar]
- A. Goli and E.B. Tirkolaee, Designing a portfolio-based closed-loop supply chain network for dairy products with a financial approach: accelerated Benders decomposition algorithm. Comput. Oper. Res. 155 (2023) 106244. [CrossRef] [Google Scholar]
- A. Goli, A.M. Golmohammadi and J.L. Verdegay, Two-echelon electric vehicle routing problem with a developed moth-flame meta-heuristic algorithm. Oper. Manage. Res. 15 (2022) 891–912. [CrossRef] [Google Scholar]
- A. Goli, A. Ala and M. Hajiaghaei-Keshteli, Efficient multi-objective meta-heuristic algorithms for energy-aware non-permutation flow-shop scheduling problem. Expert Syst. App. 213 (2023) 119077. [CrossRef] [Google Scholar]
- A.M. Golmohammadi, H. Abedsoltan, A. Goli and I. Ali, Multi-objective dragonfly algorithm for optimizing a sustainable supply chain under resource sharing conditions. Comput. Ind. Eng. 187 (2024) 109837. [CrossRef] [Google Scholar]
- R. Guchhait and B. Sarkar, Economic and environmental assessment of an unreliable supply chain management. RAIRO-Oper. Res. 55 (2021) 3153–3170. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
- K. Halat, A. Hafezalkotob and M.K. Sayadi, The green supply chains’ ordering and pricing competition under carbon emissions regulations of the government. Int. J. Syst. Sci. Oper. Logistics 10 (2023) 1983884. [Google Scholar]
- A. Hamidoğlu, A game-theoretical approach on the construction of a novel agri-food supply chain model supported by the government. Expert Syst. App. 237 (2024) 121353. [CrossRef] [Google Scholar]
- A. Hamidoğlu and G.W. Weber, A novel Nash-based low-carbon implementation in agricultural supply chain management. J. Clean. Prod. 449 (2024) 141846. [CrossRef] [Google Scholar]
- A. Hamidoğlu, Ö.M. Gül and S.N. Kadry, A game-theoretical approach for the adoption of government-supported blockchain application in the IoT-enabled agricultural supply chain. Int. Things 26 (2024) 101163. [CrossRef] [Google Scholar]
- C. Ju, Z. Shen, F. Bao, P. Weng, Y. Xu and C. Xu, A novel credible carbon footprint traceability system for low carbon economy using blockchain technology. Int. J. Environ. Res. Publ. Health 19 (2022) 10316. [CrossRef] [Google Scholar]
- S.K. Kim and J.H. Huh, Blockchain of carbon trading for UN sustainable development goals. Sustainability 12 (2020) 4021. [CrossRef] [Google Scholar]
- C.L. Li and L.M. Gao, The Nature and Social Shaping of Blockchain Technology. Studies in Science of Science (2023). [Google Scholar]
- J. Li, L. Yi and Y. Xiao, Research on information sharing mechanism of emission reduction in supply chain based on blockchain under information asymmetry. Chin. J. Manage. Sci. 29 (2021) 131–139. [Google Scholar]
- G. Li, H. Yu and M. Lu, Low-carbon collaboration in the supply chain under digital transformation: an evolutionary game-theoretic analysis. Processes 10 (2022) 1958. [CrossRef] [Google Scholar]
- T. Li, X. Xu, K. Zhao, C. Ma, J. Guirao and H. Chen, Low-carbon strategies in dual-channel supply chain under risk aversion. Math. Biosci. Eng. 19 (2022) 4765–4793. [CrossRef] [MathSciNet] [Google Scholar]
- B. Lin and C. Huang, Analysis of emission reduction effects of carbon trading: market mechanism or government intervention? Sustain. Prod. Consump. 33 (2022) 28–37. [CrossRef] [Google Scholar]
- P. Liu and Y. Chen, Differential game model of shared manufacturing supply chain considering low-carbon emission reduction. Sustainability 14 (2022) 11379. [CrossRef] [Google Scholar]
- Z. Liu, W. Sun, B. Hu, C. Han, P. Ieromonachou, Y. Zhao and J. Zheng, Research on supply chain optimization considering consumer subsidy mechanism in the context of carbon neutrality. Energies 16 (2023) 3147. [CrossRef] [Google Scholar]
- V.K. Manupati, T. Schoenherr, M. Ramkumar, S.M. Wagner, S.K. Pabba and R. Inder Raj Singh, A blockchain-based approach for a multi-echelon sustainable supply chain. Int. J. Prod. Res. 58 (2020) 2222–2241. [CrossRef] [Google Scholar]
- S. Markus and P. Buijs, Beyond the hype: how blockchain affects supply chain performance. Supply Chain Manage. Int. J. 27 (2022) 177–193. [CrossRef] [Google Scholar]
- C. Meng, R. Zhang and B. Liu, Energy performance contracting in a supply chain under cap-and-trade regulation and carbon tax policy. Int. Trans. Electr. Energy Syst. 2022 (2022) 1716380. [Google Scholar]
- T. Potnis, Y.Y. Lau and T.L. Yip, Roles of blockchain technology in supply chain capability and flexibility. Sustainability 15 (2023) 7460. [CrossRef] [Google Scholar]
- A.A. Sadawi, B. Madani, S. Saboor, M. Ndiaye and G. Abu-Lebdeh, A comprehensive hierarchical blockchain system for carbon emission trading utilizing blockchain of things and smart contract. Technol. Forecasting Soc. Change 173 (2021) 121124. [CrossRef] [Google Scholar]
- Y. Tan, H. Zhou, P. Wu and L. Huang, The optimal carbon emission reduction and advertising strategy with dynamic market share in the supply chain. Ind. Manage. Data Syst. 123 (2023) 2435–2487. [CrossRef] [Google Scholar]
- E.B. Tirkolaee, A.E. Torkayesh, M. Tavana, A. Goli, V. Simic and W. Ding, An integrated decision support framework for resilient vaccine supply chain network design. Eng. App. Artif. Intell. 126 (2023) 106945. [CrossRef] [Google Scholar]
- W.L. Wang and T.Y. Chen, Evolutionary game analysis of supply chain operations decision under the background of carbon trading. Syst. Eng.-Theory Pract. 41 (2021) 1272–1281. [Google Scholar]
- M. Wang, Y. Li, M. Li, W. Shi and S. Quan, Will carbon tax affect the strategy and performance of low-carbon technology sharing between enterprises? J. Clean. Prod. 210 (2019) 724–737. [CrossRef] [Google Scholar]
- M. Wang, B. Wang and A. Abareshi, Blockchain technology and its role in enhancing supply chain integration capability and reducing carbon emission: a conceptual framework. Sustainability 12 (2020) 10550. [CrossRef] [Google Scholar]
- F. Wang, H. Li, Y. Cao, C. Zhang and Y. Ran, Knowledge sharing strategy and emission reduction benefits of low carbon technology collaborative innovation in the green supply chain. Front. Environ. Sci. 9 (2022) 783835. [CrossRef] [Google Scholar]
- W.B. Wang, J. Guan, J.Y. Qi, M.X. Zhang and Z.H. Zhang, Supply chain decision model with the big data service provider under carbon cap-and-trade mechanism. J. Syst. Manage. (2023). [Google Scholar]
- D.P. Wang, J.Y. Chang and Z. Hao, Research on dynamic emission reduction of supply chain vertical cooperation based on technology investment under carbon trading policy. Control Decis. (2023). [Google Scholar]
- Q. Wu, X. Xu and Y. Tian, Research on enterprises emission reduction technology innovation strategies with government subsidy and carbon trading mechanism. Manage. Decis. Econ. 43 (2022) 2083–2097. [CrossRef] [Google Scholar]
- M. Xu, S. Ma and G. Wang, Differential game model of information sharing among supply chain finance based on blockchain technology. Sustainability 14 (2022) 7139. [CrossRef] [Google Scholar]
- C. Xu, F. Liu, Y. Zhou, R. Dou, X. Feng and B. Shen, Manufacturers’ emission reduction investment strategy under carbon cap-and-trade policy and uncertain low-carbon preferences. Ind. Manage. Data Syst. 123 (2023) 2522–2550. [CrossRef] [Google Scholar]
- Z. Zhang and L. Yu, Dynamic optimization and coordination of cooperative emission reduction in a dual-channel supply chain considering reference low-carbon effect and low-carbon goodwill. Int. J. Environ. Res. Publ. Health 18 (2021) 539. [CrossRef] [Google Scholar]
- Q. Zhang, Y. Wang and L. Liu, Carbon tax or low-carbon subsidy? Carbon reduction policy options under CCUS investment. Sustainability 15 (2023) 5301. [CrossRef] [Google Scholar]
- Y.J. Zhou and L.J. Wu, Supply chain analysis under carbon information asymmetry based on carbon cap-and-trade. Ind. Eng. Manage. (2017) 68–78. [Google Scholar]
- X. Zhou and X. Wu, Decisions for a retailer-led low-carbon supply chain considering altruistic preference under carbon quota policy. Mathematics 11 (2023) 911. [CrossRef] [Google Scholar]
- H. Zhou, M. Liu and Y. Tan, Long-term emission reduction strategy in a three-echelon supply chain considering government intervention and Consumers’ low-carbon preferences. Comput. Ind. Eng. 186 (2023) 109697. [CrossRef] [Google Scholar]
- X. Zhou, L. Zhan, H. Shu and Y. Peng, Dynamic decision modeling of production and marketing in low-carbon supply chains considering delay effects. Sci. Prog. 106 (2023) 00368504231160410. [CrossRef] [PubMed] [Google Scholar]
- W. Zhou, J. Zhu and C. Zhang, Impact of corporate social responsibility on carbon emission reduction in supply chains. Chin. Manage. Stud. 18 (2024) 454–478. [CrossRef] [Google Scholar]
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