Production disruption in supply chain systems: impacts on consumers, supply chain agents and the society
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DOI: 10.1007/s10479-023-05782-9
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- Alexandre Dolgui & Dmitry Ivanov & Boris Sokolov, 2018. "Ripple effect in the supply chain: an analysis and recent literature," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 414-430, January.
- Anna Timonina‐Farkas & René Y. Glogg & Ralf W. Seifert, 2022. "Limiting the impact of supply chain disruptions in the face of distributional uncertainty in demand," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3788-3805, October.
- Shao, Xiao-Feng, 2018. "Production disruption, compensation, and transshipment policies," Omega, Elsevier, vol. 74(C), pages 37-49.
- Dmitry Ivanov, 2017. "Simulation-based ripple effect modelling in the supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 2083-2101, April.
- Bin Shen & Ciwei Dong & Stefan Minner, 2022. "Combating Copycats in the Supply Chain with Permissioned Blockchain Technology," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 138-154, January.
- Sreedevi, R. & Saranga, Haritha, 2017. "Uncertainty and supply chain risk: The moderating role of supply chain flexibility in risk mitigation," International Journal of Production Economics, Elsevier, vol. 193(C), pages 332-342.
- Shen, Bin & Qian, Rongrong & Choi, Tsan-Ming, 2017. "Selling luxury fashion online with social influences considerations: Demand changes and supply chain coordination," International Journal of Production Economics, Elsevier, vol. 185(C), pages 89-99.
- Baghalian, Atefeh & Rezapour, Shabnam & Farahani, Reza Zanjirani, 2013. "Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case," European Journal of Operational Research, Elsevier, vol. 227(1), pages 199-215.
- Dmitry Ivanov, 2018. "Revealing interfaces of supply chain resilience and sustainability: a simulation study," International Journal of Production Research, Taylor & Francis Journals, vol. 56(10), pages 3507-3523, May.
- Bin Shen & Yang Liu & Vincent Quan & Xin Wen, 2023. "Supplying masks to combat respiratory diseases: safety index, welfare and government involvement," International Journal of Production Research, Taylor & Francis Journals, vol. 61(8), pages 2636-2652, April.
- Behzadi, Golnar & O’Sullivan, Michael Justin & Olsen, Tava Lennon & Zhang, Abraham, 2018. "Agribusiness supply chain risk management: A review of quantitative decision models," Omega, Elsevier, vol. 79(C), pages 21-42.
- Angharad H. Porteous & Sonali V. Rammohan & Hau L. Lee, 2015. "Carrots or Sticks? Improving Social and Environmental Compliance at Suppliers Through Incentives and Penalties," Production and Operations Management, Production and Operations Management Society, vol. 24(9), pages 1402-1413, September.
- Gupta, Varun & Ivanov, Dmitry & Choi, Tsan-Ming, 2021. "Competitive pricing of substitute products under supply disruption," Omega, Elsevier, vol. 101(C).
- William Ho & Tian Zheng & Hakan Yildiz & Srinivas Talluri, 2015. "Supply chain risk management: a literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 53(16), pages 5031-5069, August.
- Maxime C. Cohen & Georgia Perakis & Charles Thraves, 2022. "Consumer Surplus Under Demand Uncertainty," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 478-494, February.
- Ray, Pritee & Jenamani, Mamata, 2016. "Mean-variance analysis of sourcing decision under disruption risk," European Journal of Operational Research, Elsevier, vol. 250(2), pages 679-689.
- Stanley Baiman & Paul E. Fischer & Madhav V. Rajan, 2000. "Information, Contracting, and Quality Costs," Management Science, INFORMS, vol. 46(6), pages 776-789, June.
- Sawik, Tadeusz, 2016. "Integrated supply, production and distribution scheduling under disruption risks," Omega, Elsevier, vol. 62(C), pages 131-144.
- Li, Yongjian & Zhen, Xueping & Qi, Xiangtong & Cai, Gangshu (George), 2016. "Penalty and financial assistance in a supply chain with supply disruption," Omega, Elsevier, vol. 61(C), pages 167-181.
- Lawrence V. Snyder & Zümbül Atan & Peng Peng & Ying Rong & Amanda J. Schmitt & Burcu Sinsoysal, 2016. "OR/MS models for supply chain disruptions: a review," IISE Transactions, Taylor & Francis Journals, vol. 48(2), pages 89-109, February.
- Zhu, Stuart X., 2013. "Dynamic replenishment, production, and pricing decisions, in the face of supply disruption and random price-sensitive demand," International Journal of Production Economics, Elsevier, vol. 146(2), pages 612-619.
- Hishamuddin, H. & Sarker, R.A. & Essam, D., 2012. "A disruption recovery model for a single stage production-inventory system," European Journal of Operational Research, Elsevier, vol. 222(3), pages 464-473.
- Jie Yang & Hongming Xie & Guangsheng Yu & Mingyu Liu, 2021. "Antecedents and consequences of supply chain risk management capabilities: an investigation in the post-coronavirus crisis," International Journal of Production Research, Taylor & Francis Journals, vol. 59(5), pages 1573-1585, March.
- Choi, Tsan-Ming & Ma, Cheng & Shen, Bin & Sun, Qi, 2019. "Optimal pricing in mass customization supply chains with risk-averse agents and retail competition," Omega, Elsevier, vol. 88(C), pages 150-161.
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Keywords
Production disruption; Supply chain risk; Consumer surplus;All these keywords.
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