Towards an Integrated Model of Supply Chain Risks: An Alignment Between Supply Chain Characteristics and Risk Dimensions

Lahmar, Arij; Galasso, François; Chabchoub, Habib; Lamothe, Jacques

doi:10.1007/978-3-319-24141-8_1

Cited by 5 publications

(4 citation statements)

References 41 publications

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“…This could be justified by the fact that we cannot measure something unless we understand it and understand its factors. The ability to evaluate and measure supply chain vulnerability is increasingly being seen as a key factor for effective risk management process (Wagner and Bode, 2006;Neshat, 2012 andLahmar et al, 2015). We are still dealing with a paradox: we aim to measure vulnerability, yet we cannot define it precisely.…”

Section: Methodological Approaches Of Scvmentioning

confidence: 99%

The VESP Model

Lahmar

Chabchoub

Galasso

et al. 2018

International Journal of Risk and Contingency Management

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During the last decade, researchers and practitioners became more interested in the domain of vulnerability analysis. It is considered as a key element in defining and managing supply chain risks. The great complexity of a global supply chain and of its environment, coupled with managerial trends, makes such a chain more vulnerable to disruptive events. A clear understanding of the possible consequences generated of this combination is a fundamental step to build an effective risk management plan and strategies. However, more studies are needed in order to develop the understanding of supply chain vulnerability. This article provides an explorative framework in order to analyze and quantify vulnerability within supply chains. Based on the existent literature, this article explores the factors that affect the level of Supply Chain Vulnerability (SCV). Four key components of SCV are identified (i.e. Exposure, Sensitivity, Susceptibility and Preparedness level). Based on these four categories of SCV, a conceptual model is developed. Such a model enables the definition of clear metrics and can further be used by researchers and practitioners to build consistent quantification methodologies.

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Section: Methodological Approaches Of Scvmentioning

confidence: 99%

The VESP Model

Lahmar

Chabchoub

Galasso

et al. 2018

International Journal of Risk and Contingency Management

Self Cite

View full text Add to dashboard Cite

show abstract

“…Companies should improve the decision-making process and assist SC managers in choosing solutions depending on their significance and effect on business. SCs need to continue to use technology to withstand future risks and interruptions [64], consider the SC vulnerable and vulnerability drivers [65], and secure supply in crises like the COVID-19 pandemic situation [66].…”

Section: Literature Reviewmentioning

confidence: 99%

Fuzzy-FMEA Theory Approach for Prioritizing Supply Chain Nervousness Factors

Magableh,

Mumani,

Obaidat

et al. 2024

Applied Sciences

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Global supply chain shocks and interruptions underscore the importance of supply chain nervousness (SCN). A clear understanding of nervousness in the event of a crisis allows an organization to make a good plan to deal with interruptions and future shocks. This study aims to develop a model for assessing nervousness parameters in the supply chains (SCs) by incorporating the fuzzy-FMEA theory and gray correlation approach to rank the SCN factors. The integrated model used in this study can improve the accuracy of outcomes when uncertainty exists in the SCN data. The results show that the most important nervousness factors are SC planning, visibility, stability, decision support systems, and SC flexibility. The developed SCN approach allows understanding and prioritizing SCN factors with more realistic and effective assessment. Findings offer beneficial insights for SCN prevention, and suggestions are made to identify nervousness mitigations. The outcomes of this research can be used by researchers and SC specialists to develop decision support systems.

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“…According to the authors, "the real challenge in the field of supply chain risk management is still the quantification and modeling of supply chain risk". For instance, [16][17] characterize supply chain risk by the combination of three terms: consequence, vulnerability and disruptive events; where consequence is the maximum possible loss, vulnerability is the potential exposure of supply chain to potential disruptive events scenarios and disruptive event is the possibility of occurrence per time frame. Moreover, [18] highlight the important for of disruptions detection for defining effective risk management practices.…”

Section: Introductionmentioning

confidence: 99%

A Supply Chain Risk Index Estimation Methodological Framework Using Exposure Assessment

Lahmar

Galasso²,

Chabchoub

et al. 2017

Collaboration in a Data-Rich World

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The objective of this article is to move a step forward towards the general knowledge about how to manage supply chain risks by developing a theoretical risk index using exposure analysis. Two questions "why logistics systems are exposed to risks? to which type of risk, a supply chain organization is exposed to?" have to be raised and investigated. The answers to these questions will be used as a basis for the risk index methodology, which allows organizations to assess their exposure level and also to identify which type of risk they need to deal with it. The results of previous step will be computed into a supply chain risk index. To achieve our objective, the article is organized as follows: section 2 provides a brief literature review to position the proposed model against other existing theoretical models. Section 3 provides the methodology used to develop our approach. Section 4 presents the conclusion, limitations and future research.

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Towards an Integrated Model of Supply Chain Risks: An Alignment Between Supply Chain Characteristics and Risk Dimensions

Cited by 5 publications

References 41 publications

The VESP Model

The VESP Model

Fuzzy-FMEA Theory Approach for Prioritizing Supply Chain Nervousness Factors

A Supply Chain Risk Index Estimation Methodological Framework Using Exposure Assessment

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