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International Journal of Production Research Volume 61, 2023 - Issue 22
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Research Articles

A prediction-based supply chain recovery strategy under disruption risks

Yi YangSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai, People's Republic of ChinaView further author information
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Chen PengSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai, People's Republic of ChinaCorrespondence[email protected]
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Pages 7670-7684 | Received 02 Sep 2022, Accepted 14 Dec 2022, Published online: 01 Mar 2023

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Read on this site (2)

Reza Babazadeh, Hanieh Taraghi Nazloo & Mehdi A. Kamran. (2024) A hybrid ANN-MILP model for agile recovery production planning for PPE products under sharp demands. International Journal of Production Research 0:0, pages 1-21.
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Dmitry Ivanov. Transformation of supply chain resilience research through the COVID-19 pandemic. International Journal of Production Research 0:0, pages 1-22.
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Articles from other publishers (2)

Yaru Li & Yanhong Yuan. (2024) Supply chain disruption recovery strategies for measuring profitability and resilience in supply and demand disruption scenarios. RAIRO - Operations Research 58:1, pages 591-612.
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Hamed Jahani, Richa Jain & Dmitry Ivanov. (2023) Data science and big data analytics: a systematic review of methodologies used in the supply chain and logistics research. Annals of Operations Research.
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