Open Access
Issue |
RAIRO-Oper. Res.
Volume 58, Number 3, May-June 2024
|
|
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Page(s) | 2445 - 2479 | |
DOI | https://doi.org/10.1051/ro/2023108 | |
Published online | 25 June 2024 |
- I. Arto, V. Andreoni and J.M. Rueda Cantuche, Global impacts of the automotive supply chain disruption following the Japanese earthquake of 2011. Econ. Syst. Res. 27 (2015) 306–323. [CrossRef] [Google Scholar]
- A. Aslani and J. Heydari, Transshipment contract for coordination of a green dual-channel supply chain under channel disruption. J. Cleaner Prod. 223 (2019) 596–609. [CrossRef] [Google Scholar]
- Autonews from wire, Opel, Renault Production Hit by Shortage of Japanese Parts. Accessed August 13, 2014. http://www.autonews.com/article/20110318/COPY01/303189860/opel-renault-production-hit-byshortage-of-japanese-parts (2011). [Google Scholar]
- Z. Basiri and J. Heydari, A mathematical model for green supply chain coordination with substitutable products. J. Cleaner Prod. 145 (2017) 232–249. [CrossRef] [Google Scholar]
- J. Bian, X. Guo and K.W. Li, Decentralization or integration: distribution channel selection under environmental taxation. Transp. Res. Part E: Logistics Transp. Rev. 113 (2018) 170–193. [CrossRef] [Google Scholar]
- S. Biller, L.M.A. Chan, D. Simchi-Levi and J. Swann, Dynamic pricing and the direct-to-customer model in the automotive industry. J. Electron. Commer Res. 5 (2005) 309–334. [CrossRef] [Google Scholar]
- P. Chowdhury, S.K. Paul, S. Kaisar and M.A. Moktadir, COVID-19 pandemic related supply chain studies: a systematic review. Transp. Res. Part E: Logistics Transp. Rev. 148 (2021) 102271. [CrossRef] [Google Scholar]
- A. Diabat, D. Kannan and K. Mathiyazhagan, Analysis of enablers for implementation of sustainable supply chain management – a textile case. J. Cleaner Prod. 83 (2014) 391–403. [CrossRef] [Google Scholar]
- Z.P. Fan, S. Huang and X. Wang, The vertical cooperation and pricing strategies of electric vehicle supply chain under brand competition. Comput. Ind. Eng. 152 (2021) 106968. [CrossRef] [Google Scholar]
- A. Fander and S. Yaghoubi, Impact of fuel-efficient technology on automotive and fuel supply chain under government intervention: a case study. Appl. Math. Modell. 97 (2021) 771–802. [CrossRef] [Google Scholar]
- A. Fander and S. Yaghoubi, Dynamic and stochastic modeling for a closed-loop automotive supply chain under fuel issue and government intervention: a case study. Comput. Ind. Eng. 174 (2022) 108765. [CrossRef] [Google Scholar]
- M. Frostenson and F. Prenkert, Sustainable supply chain management when focal firms are complex: a network perspective. J. Cleaner Prod. 107 (2015) 85–94. [CrossRef] [Google Scholar]
- J. Gao, Z. Xiao and H. Wei, Competition and coordination in a dual-channel green supply chain with an eco-label policy. Comput. Ind. Eng. 153 (2021) 107057. [CrossRef] [Google Scholar]
- A. Ghavamifar, A. Makui and A.A. Taleizadeh, Designing a resilient competitive supply chain network under disruption risks: a real-world application. Transp. Res. Part E: Logistics Transp. Rev. 115 (2018) 87–109. [Google Scholar]
- M.A. Gorji, M.B. Jamali and M. Iranpoor, A game-theoretic approach for decision analysis in end-of-life vehicle reverse supply chain regarding government subsidy. Waste Manage. 120 (2021) 734–747. [CrossRef] [Google Scholar]
- T. Hadi, S.K. Chaharsooghi, M. Sheikhmohammady and A. Hafezalkotob, Pricing strategy for a green supply chain with hybrid production modes under government intervention. J. Cleaner Prod. 268 (2020) 121945. [CrossRef] [Google Scholar]
- A. Hafezalkotob, Competition of two green and regular supply chains under environmental protection and revenue seeking policies of government. Comput. Ind. Eng. 82 (2015) 103–114. [Google Scholar]
- A. Hafezalkotob, Direct and indirect intervention schemas of government in the competition between green and non-green supply chains. J. Cleaner Prod. 170 (2018) 753–772. [CrossRef] [Google Scholar]
- M. Heger and M. Sarraf, Air pollution in tehran: health costs, sources, and policies, in Environment and Natural Resources Global Practice Discussion Paper; No. 6. World Bank, Washington, DC (2018). [Google Scholar]
- S. Hosseini, D. Ivanov and A. Dolgui, Review of quantitative methods for supply chain resilience analysis. Transp. Res. Part E: Logistics Transp. Rev. 125 (2019) 285–307. [CrossRef] [Google Scholar]
- D. Ivanov, Revealing interfaces of supply chain resilience and sustainability: a simulation study. Int. J. Prod. Res. 56 (2018) 3507–3523. [CrossRef] [Google Scholar]
- D. Ivanov, A. Dolgui, B. Sokolov and M. Ivanova, Literature review on disruption recovery in the supply chain. Int. J. Prod. Res. 55 (2017) 6158–6174. [Google Scholar]
- S. Jun and S. Park, Examining technological competition between BMW and Hyundai in the Korean car market. Technol. Anal. Strategic Manage. 28 (2016) 156–175. [CrossRef] [Google Scholar]
- E.S. Kasim, D. Daud, J. Said, N. Md Zin and E. Kusrini, Supply disruption risk mitigation: a case study of automotive company. Polish J. Manage. Stud. 22 (2020). DOI 10.17512/pjms.2020.22.1.16. [Google Scholar]
- P.R. Kleindorfer and G.H. Saad, Managing disruption risks in supply chains. Prod. Oper. Manage. 14 (2005) 53–68. [Google Scholar]
- S. Li and Y. He, Compensation and information disclosure strategies of a green supply chain under production disruption. J. Cleaner Prod. 281 (2021) 124851. [CrossRef] [Google Scholar]
- C. Liu and W. Chen, Decision making in green supply chains under the impact of the stochastic and multiple-variable dependent reference point. Transp. Res. Part E: Logistics Transp. Rev. 128 (2019) 443–469. [CrossRef] [Google Scholar]
- J. Ma, Y. Hou, Z. Wang and W. Yang, Pricing strategy and coordination of automobile manufacturers based on government intervention and carbon emission reduction. Energy Policy 148 (2021) 111919. [CrossRef] [Google Scholar]
- H. Matsuo, Implications of the Tohoku earthquake for Toyota s coordination mechanism: supply chain disruption of automotive semiconductors. Int. J. Prod. Econ. 161 (2015) 217–227. [CrossRef] [Google Scholar]
- C. Midler and C. Navarre, Project management in the automotive industry, in The Wiley Guide to Managing Projects. Wiley (2004) 1368–1388. [Google Scholar]
- E.U. Olugu, K.Y. Wong and A.M. Shaharoun, Development of key performance measures for the automobile green supply chain. Res. Conserv. Recycl. 55 (2011) 567–579. [CrossRef] [Google Scholar]
- K. Rahmani and M. Yavari, Pricing policies for a dual-channel green supply chain under demand disruptions. Comput. Ind. Eng. 127 (2019) 493–510. [Google Scholar]
- M. Rasti-Barzoki and I. Moon, A game theoretic approach for car pricing and its energy efficiency level versus governmental sustainability goals by considering rebound effect: a case study of South Korea. Appl. Energy 271 (2020) 115196. [CrossRef] [Google Scholar]
- J. Sarkis, Supply chain sustainability: learning from the COVID-19 pandemic. Int. J. Oper. Prod. Manage. 41 (2020) 63–73. [CrossRef] [Google Scholar]
- D. Simchi-Levi, W. Schmidt, Y. Wei, P.Y. Zhang, K. Combs, Y. Ge, O. Gusikhin, M. Sanders and D. Zhang, Identifying risks and mitigating disruptions in the automotive supply chain. Interfaces 45 (2015) 375–390. [CrossRef] [Google Scholar]
- R.M. Vanalle, W.C. Lucato, G.M.D. Ganga and A.G. Alves Filho, Risk management in the automotive supply chain: an exploratory study in Brazil. Int. J. Prod. Res. 58 (2020) 783–799. [CrossRef] [Google Scholar]
- S. Xu, X. Zhang, L. Feng and W. Yang, Disruption risks in supply chain management: a literature review based on bibliometric analysis. Int. J. Prod. Res. 58 (2020) 3508–3526. [CrossRef] [Google Scholar]
- M. Yavari and H. Zaker, Designing a resilient-green closed-loop supply chain network for perishable products by considering disruption in both supply chain and power networks. Comput. Chem. Eng. 134 (2020) 106680. [CrossRef] [Google Scholar]
- YN, Agency, Hyundai develops new fuel-efficient engine technology. Accessed July 3, 2019. https://en.yna.co.kr/view/AEN20190703004800320 (2019). [Google Scholar]
- T. Zaefarian, M. Andabili, H. Momeni and S.E. Najafi, Iran auto market price segmentation and car ranking in segments using a hybrid DEMATEL-Two-Step clustering-TOPSIS approaches and two-step weighting based on Shannon’s entropy. Ind. Manage. Stud. 16 (2018) 159–192. [Google Scholar]
- Y. Zhang and M. Hansen, Real-time intermodal substitution: strategy for airline recovery from schedule perturbation and for mitigation of airport congestion. Transp. Res. Record 2052 (2008) 90–99. [CrossRef] [Google Scholar]
- X. Zhang and H.A.U. Yousaf, Green supply chain coordination considering government intervention, green investment, and customer green preferences in the petroleum industry. J. Cleaner Prod. 246 (2020) 118984. [CrossRef] [Google Scholar]
- J. Zhang, X. Chen and C. Fang, Transmission of a supplier’s disruption risk along the supply chain: a further investigation of the Chinese automotive industry. Prod. Planning Control 29 (2018) 773–789. [CrossRef] [Google Scholar]
- J.H. Zhao, D.L. Zeng, L.P. Che, T.W. Zhou and J.Y. Hu, Research on the profit change of new energy vehicle closed-loop supply chain members based on government subsidies. Environ. Technol. Innov. 19 (2020) 100937. [CrossRef] [Google Scholar]
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