Review of metrics to assess resilience capacities and actions for supply chain resilience

  • Efficiency and profitability are the main drivers of globalization and have led to long and complex supply chains. Recent disturbances such as COVID-19 or the Suez Canal obstruction caused severe supply disruptions and thereby unveiled the vulnerability of global trade. Resilient supply chains are characterized by the capacity to absorb, adapt to, and restore after disruptions. Building upon the established concept of the ‘resilience curve’, this article explores the interplay between resilience capacities, metrics, and actions in the state-of-the-art literature. We first analyze and harmonize the terminology used to describe capacities as well as metrics for quantifying resilience. This results in a set of 17 resilience metrics that describe all characteristics of the resilience curve and can be used as a tool to assess the resilience of a supply chain. Subsequently, we propose how these metrics can be applied to quantify the effect of resilience actions. Finally, we analyze whichEfficiency and profitability are the main drivers of globalization and have led to long and complex supply chains. Recent disturbances such as COVID-19 or the Suez Canal obstruction caused severe supply disruptions and thereby unveiled the vulnerability of global trade. Resilient supply chains are characterized by the capacity to absorb, adapt to, and restore after disruptions. Building upon the established concept of the ‘resilience curve’, this article explores the interplay between resilience capacities, metrics, and actions in the state-of-the-art literature. We first analyze and harmonize the terminology used to describe capacities as well as metrics for quantifying resilience. This results in a set of 17 resilience metrics that describe all characteristics of the resilience curve and can be used as a tool to assess the resilience of a supply chain. Subsequently, we propose how these metrics can be applied to quantify the effect of resilience actions. Finally, we analyze which actions are proposed in the literature and classify those actions according to their relation to traditional supply chain planning tasks. Practitioners such as supply chain decision-makers can implement these actions to strengthen the absorptive, adaptive, and restorative capacities and are provided with mathematical formulations to quantify the strengthening effect of actions. Academic research can, inter alia, integrate the metrics into multi-criteria optimization models for decision-making and explore the interplay between economic efficiency, environmental sustainability, and resilience.show moreshow less

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Metadaten
Author:Martin BrucklerGND, Lars WietschelGND, Lukas MessmannORCiDGND, Andrea ThorenzORCiDGND, Axel TumaORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1127705
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/112770
ISSN:0360-8352OPAC
Parent Title (English):Computers & Industrial Engineering
Publisher:Elsevier BV
Type:Article
Language:English
Year of first Publication:2024
Publishing Institution:Universität Augsburg
Release Date:2024/04/30
Volume:192
First Page:110176
DOI:https://doi.org/10.1016/j.cie.2024.110176
Institutes:Mathematisch-Naturwissenschaftlich-Technische Fakultät
Wirtschaftswissenschaftliche Fakultät
Fakultätsübergreifende Institute und Einrichtungen
Wirtschaftswissenschaftliche Fakultät / Institut für Betriebswirtschaftslehre
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Materials Resource Management
Wirtschaftswissenschaftliche Fakultät / Institut für Betriebswirtschaftslehre / Lehrstuhl für Production & Supply Chain Management
Fakultätsübergreifende Institute und Einrichtungen / Zentrum für Klimaresilienz
Nachhaltigkeitsziele
Nachhaltigkeitsziele / Ziel 17 - Partnerschaften zur Erreichung der Ziele
Dewey Decimal Classification:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)