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Original Articles

Budget allocation in coping with supply chain disruption risks

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Pages 4152-4167 | Received 14 May 2017, Accepted 15 Jan 2018, Published online: 01 Feb 2018

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Read on this site (3)

Seyedmohsen Hosseini & Dmitry Ivanov. (2022) A multi-layer Bayesian network method for supply chain disruption modelling in the wake of the COVID-19 pandemic. International Journal of Production Research 60:17, pages 5258-5276.
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Milad Baghersad, Christopher W. Zobel, Paul Benjamin Lowry & Sutirtha Chatterjee. (2022) The roles of prior experience and the location on the severity of supply chain disruptions. International Journal of Production Research 60:16, pages 5051-5070.
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Krishna Kumar Dadsena, S. P. Sarmah & V. N. A. Naikan. (2019) Risk evaluation and mitigation of sustainable road freight transport operation: a case of trucking industry. International Journal of Production Research 57:19, pages 6223-6245.
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Articles from other publishers (5)

C. Capone & T. Narbaev. (2022) Estimation of Risk Contingency Budget in Projects using Machine Learning. IFAC-PapersOnLine 55:10, pages 3238-3243.
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Varun Gupta & Anshuman Chutani. (2019) Supply chain financing with advance selling under disruption. International Transactions in Operational Research 27:5, pages 2449-2468.
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Desheng Wu, David L. Olson & Shouyang Wang. (2019) Finance-operations interface mechanism and models. Omega 88, pages A1-A3.
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Desheng Wu, David L. Olson & Shouyang Wang. (2019) Finance-operations interface mechanism and models. Omega 88, pages 1-3.
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Milad Baghersad, Christopher W. Zobel, Sutirtha Chatterjee & Paul Benjamin Lowry. (2021) The Roles of Prior Experience and the Location on the Severity of Supply Chain Disruptions. SSRN Electronic Journal.
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