Recovery from demand disruption: Two-stage financing strategy for a capital-constrained supply chain under uncertainty
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DOI: 10.1016/j.ejor.2022.03.009
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- Hu, Man & Liu, Xue-Xin & Jia, Fu, 2024. "Optimal Emergency Order Policy for Supply Disruptions in the Semiconductor Industry," International Journal of Production Economics, Elsevier, vol. 272(C).
- Guo, Penghui & Feng, Gengzhong & Wang, Kai & Hua, Jiawen, 2024. "Analysis of financing strategies for digital technology investment under privacy concerns and competition," International Journal of Production Economics, Elsevier, vol. 274(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.
- Cao, Kaiying & Guo, Qiang & Xu, Yuqiu, 2023. "Information sharing and carbon reduction strategies with extreme weather in the platform economy," International Journal of Production Economics, Elsevier, vol. 255(C).
- Huimin Liu & Zengqing Wei & Dingyuan Hu & Jinyu Yang & Dazhi Linghu, 2024. "Robust Financing Decisions of Green Supply Chain under Market Risk," Sustainability, MDPI, vol. 16(18), pages 1-22, September.
- Jena, Sarat Kumar & Padhi, Sidhartha S & Cheng, T.C.E., 2023. "Optimal selection of supply chain financing programmes for a financially distressed manufacturer," European Journal of Operational Research, Elsevier, vol. 306(1), pages 457-477.
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Keywords
Supply chain management; Supply chain financing; Demand disruption; Recovery strategy; Minimax regret criterion;All these keywords.
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