COVID-19 Pandemic Disruption: A Matter of Building Companies' Internal and External Resilience

A. Mohammed, Ana Beatriz Lopes de Sousa Jabbour () and A. Diabat
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Ana Beatriz Lopes de Sousa Jabbour: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School

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Abstract: This paper develops an integrated methodology aimed at diagnosing supply chain resilience in terms of (1) internal dynamic capabilities of an enterprise, and (2) resilience of its suppliers. In addition, unlike other research, it integrates the suppliers' resilience evaluation into the order size allocation plan. Multi-attribute decision making (MADM) algorithms were employed to quantify the relative importance to evaluate the internal and external resilience of an enterprise. Furthermore, the MADM output was combined with a multi-objective programming model formulated to solve the order size problem considering economic and resilience objectives. The applicability of the developed methodology is demonstrated via a dairy manufacturing enterprise that suffered from disruptions attributed to COVID-19. The results translate the enterprise's non-viable manufacturing due to its poor external and internal resilience profiles. It is emphasized that if an enterprise fails to develop internal capabilities such as readiness and sensing, the enterprise could also fail in managing external resilience. A resilient supply chain requires a blend of internal and external resilience. This work represents the first quantitative attempt to provide a unified methodology for identifying and measuring internal and external resilience. \textcopyright 2021 Informa UK Limited, trading as Taylor & Francis Group.

Keywords: Allocation plans; COVID-19; Decision making; Decision-making algorithms; dynamic capability; Dynamics capability; Integrated methodology; Internal dynamics; Manufacture; Multi attribute decision making; Multiobjective optimization; Optimisations; optimization; order size; Order size; Supply chain resilience; Supply chain resiliences; supply chain risk; Supply chains; Supply-chain risks (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (4)

Published in International Journal of Production Research, 2023, 61 (8), pp.2716--2737. ⟨10.1080/00207543.2021.1970848⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04276027

DOI: 10.1080/00207543.2021.1970848

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