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Articles

On the risk-averse optimization of service level in a supply chain under disruption risks

Pages 98-113 | Received 19 Sep 2014, Accepted 19 Jan 2015, Published online: 25 Feb 2015

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Allan N. Zhang, Stephan M. Wagner, Mark Goh & Sobhan Asian. (2024) Quantifying supply chain disruption: a recovery time equivalent value at risk approach. International Journal of Logistics Research and Applications 27:5, pages 667-687.
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Ming Liu, Zhongzheng Liu, Feng Chu, Feifeng Zheng & Chengbin Chu. (2021) A new robust dynamic Bayesian network approach for disruption risk assessment under the supply chain ripple effect. International Journal of Production Research 59:1, pages 265-285.
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Alexandre Dolgui, Dmitry Ivanov & Boris Sokolov. (2020) Reconfigurable supply chain: the X-network. International Journal of Production Research 58:13, pages 4138-4163.
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Varun Gupta & Dmitry Ivanov. (2020) Dual sourcing under supply disruption with risk-averse suppliers in the sharing economy. International Journal of Production Research 58:1, pages 291-307.
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Dmitry Ivanov & Alexandre Dolgui. (2019) Low-Certainty-Need (LCN) supply chains: a new perspective in managing disruption risks and resilience. International Journal of Production Research 57:15-16, pages 5119-5136.
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Armin Jabbarzadeh, Behnam Fahimnia & Fatemeh Sabouhi. (2018) Resilient and sustainable supply chain design: sustainability analysis under disruption risks. International Journal of Production Research 56:17, pages 5945-5968.
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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 56:1-2, pages 414-430.
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Dmitry Ivanov, Alexandre Dolgui, Boris Sokolov & Marina Ivanova. (2017) Literature review on disruption recovery in the supply chain. International Journal of Production Research 55:20, pages 6158-6174.
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Dmitry Ivanov. (2017) Simulation-based ripple effect modelling in the supply chain. International Journal of Production Research 55:7, pages 2083-2101.
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Xiaoling Xu, Jennifer Shang, Haiyan Wang & Wen-Chyuan Chiang. (2016) Optimal production and inventory decisions under demand and production disruptions. International Journal of Production Research 54:1, pages 287-301.
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