Establishing a frame of reference for measuring disaster resilience

Zobel, Christopher W.; MacKenzie, Cameron A.; Baghersad, Milad; Li, Yuhong

doi:10.1016/j.dss.2020.113406

Cited by 29 publications

(10 citation statements)

References 53 publications

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“…This involved stabilization efforts to recover the previous equilibrium, and leads to engineering resilience , which is in line with the existing literature in terms of targeting robustness (de Vries et al. , 2022), resisting disturbance (Zobel et al. , 2021), and bouncing back to normal (Christopher and Peck, 2004).…”

Section: Findings and Discussionsupporting

confidence: 72%

“…This also means stabilizing or maintaining profitability level; thus, fixed pricing and better control/management of the cost base (Case#2,7) are the fundamental pricing policies and practices used to achieve this. This involved stabilization efforts to recover the previous equilibrium, and leads to engineering resilience, which is in line with the existing literature in terms of targeting robustness (de Vries et al, 2022), resisting disturbance (Zobel et al, 2021), and bouncing back to normal (Christopher and Peck, 2004).…”

Section: Developing and Enhancing Resilience Via Stabilizationsupporting

confidence: 69%

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Service supply chain resilience: a social-ecological perspective on last-mile delivery operations

Lin

Chen

Zhong

et al. 2022

IJOPM

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PurposeConsidering the last-mile delivery service supply chain as a social-ecological system rather than just a firm-based service system, this research exploit the COVID-19 pandemic disruption to investigate how the supply chain develops resilience from a viewpoint that integrates a social-ecological perspective with the traditional engineering one.Design/methodology/approachThis research adopt a multi-case study approach using qualitative data collected via semi-structured interviews with executive-level managers from nine leading UK last-mile delivery companies. Data analysis is guided by a research framework which is developed by combining the social-ecological perspective with the structure–conduct–performance paradigm. This framework aids the investigation of the impacts of external challenges on companies' resilience strategies and practices, as well as performance, in response to disruptions.FindingsThe research identifies three distinct pathways to resilience development: stabilization, focussing on bouncing back to the original normal; adaptation, involving evolutionary changes to a new normal; transformation, involving revolutionary changes in pursuit of a new normal-plus. Three strategic orientations are identified as operating across these pathways: people orientation, digital orientation, and learning orientation.Originality/valueIn contrast to the manufacturing supply chain focus of most current research, this research concentrates on the service supply chain, investigating its resilience with a social-ecological perspective alongside the traditional engineering one.

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Section: Findings and Discussionsupporting

confidence: 72%

Section: Developing and Enhancing Resilience Via Stabilizationsupporting

confidence: 69%

Service supply chain resilience: a social-ecological perspective on last-mile delivery operations

Lin

Chen

Zhong

et al. 2022

IJOPM

View full text Add to dashboard Cite

show abstract

“…From an engineering perspective, a common approach for assessing disaster resilience is to look at the physical characteristics of a system and to consider how system loss evolves by studying the extent to which the system is initially damaged and the amount of time needed for it to regain its normal functionality [36,37].…”

Section: Measuring Resiliencementioning

confidence: 99%

The Impact of COVID-19 on the Italian Footwear Supply Chain of Small and Medium-Sized Enterprises (SMEs)—Evaluation of Two Case Studies

Braglia

Marrazzini

Padellini

2022

Designs

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This paper aims to provide a case study related to two small and medium-sized enterprises (SMEs) of the Italian footwear supply chain, comparing sales and production data from pre-pandemic years with those affected by the COVID-19 (SARS-CoV-2) pandemic. Specifically, two Tuscany companies in the world of fashion footwear sector have been assisted in the analysis of their supply chains. In particular, the case research method has been employed for theory building to evaluate how companies reacted to the disruption caused by the COVID-19 pandemic to focus on potential resilience strategies that could be adopted to deal with a disruption, such as that caused by the COVID-19 pandemic. Specifically, in order to understand the dynamics of the supply chains, the standard production processes were initially studied and mapped, analyzing in detail the planning, programming, and control phase. After conducting a descriptive analysis of the data, possible resilience factors of SMEs’ fashion supply chains have been extracted, and strategies that SMEs could adopt to better cope with the disruption caused by the pandemic have been suggested. The outcomes of this study can be used by decision-makers to predict the operative and long-term impacts of epidemic outbreaks on the supply chains with some suggestions of potential resilience improvement strategies. The paper is concluded by summarizing the most important insights and outlining future research agenda.

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“…The reduction in PDP indicates that the network is learning. To measure network learning, we borrow the concept of "resilience triangle" (Bruneau et al, 2003;Zobel, 2014;Zobel et al, 2021) and use the area under curve (AUC) of the PDP trajectory. If a network is learning at a faster rate, its PDP drops more quickly over time, resulting in a smaller AUC.…”

Section: Supply Network Learningmentioning

confidence: 99%

Supply network resilience learning: An exploratory data analytics study

Chen

Linderman

2021

Decision Sciences

Self Cite

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When a supplier experiences a disruption, it learns how to better prevent and recover from future disruptions. As suppliers learn to become more resilient, the overall supply network also learns to become more resilient. This research draws on the organizational learning literature to introduce the concept of supply network resilience learning, which we define as the improvement of supply network resilience when suppliers learn from their own disruptions. The analysis integrates agent-based modeling, experimental design, data analytics, and analytical modeling to investigate how supplier learning improves supply network learning. We examine how two types of supplier learning, namely, learning-to-prevent and learning-to-recover, affect supply network learning. The results show that suppliers' learning-to-prevent results in a disruption-free supply network when time approaches infinity. However, the results differ across a more realistic finite time horizon. In this setting, learning-to-recover improves network learning when suppliers face a lower chance of disruption. The analysis also shows that centrally located suppliers enhance network learning, except when the risk of a disruption is high and the chance of diffusing a disruption to another supplier is high. In this setting, noncentral suppliers become more critical to supply network learning. This research provides a framework that will help practitioners understand the contingencies that influence the effect of supplier learning on the overall supply network resilience learning.

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Establishing a frame of reference for measuring disaster resilience

Cited by 29 publications

References 53 publications

Service supply chain resilience: a social-ecological perspective on last-mile delivery operations

Service supply chain resilience: a social-ecological perspective on last-mile delivery operations

The Impact of COVID-19 on the Italian Footwear Supply Chain of Small and Medium-Sized Enterprises (SMEs)—Evaluation of Two Case Studies

Supply network resilience learning: An exploratory data analytics study

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