Review of quantitative methods for supply chain resilience analysis

Hosseini, Seyedmohsen; Ivanov, Dmitry; Dolgui, Alexandre

doi:10.1016/j.tre.2019.03.001

Cited by 733 publications

(516 citation statements)

References 132 publications

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“…Therefore, we present these concepts here and compare with each other. Our analysis remains at a generalised level according to the objective of this position paper, and we refer the interested reader to the survey papers by Ho et al (2015); Ivanov et al (2017); Dolgui, Ivanov, and Rozhkov (2020); Bier, Lange, and Glock (2019); DuHadway, Carnovale, and Hazen (2019); Hosseini, Ivanov, and Dolgui (2019), for more detailed considerations.…”

Section: Viability Vs Stability Robustness and Resilience Of Scsmentioning

confidence: 99%

“…• Stability -ability to return to a pre-disturbance state and ensure a continuity (Ivanov and Sokolov 2013;Demirel et al 2019) • Robustness -ability to withstand a disruption (or a series of disruptions) to maintain the planned performance (Nair and Vidal 2011; Simchi-Levi, Wang, and Wei 2018) • Resilience -ability to withstand a disruption (or a series of disruptions) and recover the performance (Spiegler, Naim, and Wikner 2012;Hosseini, Ivanov, and Dolgui 2019). Demirel et al (2019) point to stability as a 'basic desirable property of a supply network without an explicit consideration of performance' while the robustness and resilience explicitly include the performance in the analysis of disruption impacts.…”

Section: Viability Vs Stability Robustness and Resilience Of Scsmentioning

confidence: 99%

“…The COVID-19 outbreak has not only immensely affected all areas of economy and society but also put the resilience of SCs to the test. Have the established SC resilience mechanisms (Blackhurst et al 2005, Hosseini et al 2019), e.g. risk mitigation inventories, subcontracting capacities, backup supply and transportation infrastructures, omnichannel distribution systems, flexible production technologies, and data-driven, real-time monitoring and visibility systems helped the companies to survive and recover through the pandemic times?…”

Section: Introductionmentioning

confidence: 99%

“…One interesting research avenue to bring the discussion at the level of survivability is to consider the concept of viability. While SC resilience has gained a considerable attention (Dolgui, Ivanov, and Rozhkov 2020;Hosseini, Ivanov, and Dolgui 2019), the understanding of viability remains an open research question. In this paper, we define viability as the system ability to meet the demands of surviving in a changing environment following the Viable System Model by Beer (1981) and ecology modelling perspectives (Aubin 1991).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak

Ivanov

Dolgui

2020

International Journal of Production Research

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An intertwined supply network (ISN) is an entirety of interconnected supply chains (SC) which, in their integrity secure the provision of society and markets with goods and services. The ISNs are open systems with structural dynamics since the firms may exhibit multiple behaviours by changing the buyer-supplier roles in interconnected or even competing SCs. From the positions of resilience, the ISNs as a whole provide services to society (e.g. food service, mobility service or communication service) which are required to ensure a long-term survival. The analysis of survivability at the level of ISN requires a consideration at a large scale as resilience of individual SCs. The recent example of coronavirus COVID-19 outbreak clearly shows the necessity of this new perspective. Our study introduces a new angle in SC resilience research when a resistance to extraordinary disruptions needs to be considered at the scale of viability. We elaborate on the integrity of the ISN and viability. The contribution of our position study lies in a conceptualisation of a novel decision-making environment of ISN viability. We illustrate the viability formation through a dynamic game-theoretic modelling of a biological system that resembles the ISN. We discuss some future research areas.

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Section: Viability Vs Stability Robustness and Resilience Of Scsmentioning

confidence: 99%

Section: Viability Vs Stability Robustness and Resilience Of Scsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak

Ivanov

Dolgui

2020

International Journal of Production Research

Self Cite

1,073

894

View full text Add to dashboard Cite

show abstract

“…Recent work has also incorporated disruption and recovery considerations into supply chain risk assessments using the ripple effect, developing new measures to identify high-risk suppliers (Hosseini and Ivanov, 2019). The concept of disruption in this literature is not isolated to study at a single location, but rather, to multiple locations and firms; primarily driven by the structure of the network (Hosseini et al, 2019a).…”

mentioning

confidence: 99%

The rippled newsvendor: A new inventory framework for modeling supply chain risk severity in the presence of risk propagation

Garvey

Carnovale

2020

International Journal of Production Economics

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How should managers take into account the propagation of supply chain disruptions and risks (i.e. the ripple effect) when they design their inventory policies? For over 60 years, various extensions and applications to the popular newsvendor model have been suggested, where cost/profit are often the focal objective. Accordingly, we propose a new version of the traditional single-period newsvendor model -the "Rippled Newsvendor" -with supply chain severity (i.e. risk propagation) as the primary objective while taking into account network structure. Our model considers exogenous and endogenous risk(s) of disruption while exploring the tension between under-supply and "wear-and-tear" (i.e system breakdown).To model the intricacies of this trade-off whilst minimizing the potential spread of risk, we leverage a Bayesian Network whereby the conditional probability distributions are functions of the inventory ordering decisions. We use a simulation study to understand the nature of our objective function as well as to gain insight into the potential optimal ordering policies of this new model. Furthermore, the simulation seeks to understand how the various factors in our system impact total risk severity, and if they do so in different ways. Our simulations indicate that local exogenous risk is of greater importance than non-local exogenous risk.Furthermore, we show that the type of risk, as well as the structural characteristics of the supply chain and inventory system, impact risk severity differently. As far as we are aware, this is the first framework to incorporate supply network structure, risk propagation, and inventory decision making.

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Strengthening supply chain resilience during COVID‐19: A case study of JD.com

Shen

Sun

2021

J of Ops Management

147

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The coronavirus/SARS‐CoV‐2 (COVID‐19) outbreak has caused severe supply chain disruptions in practically all industries worldwide. Online e‐commerce platforms, which interact directly with various industries and service numerous consumers, have become remarkable interfaces to observe the impacts of the pandemic on supply chains. Using quantitative operational data obtained from JD.com https://www.jd.com., this study analyzes the impact of the pandemic on supply chain resilience, summarizes the challenging scenarios that retailing supply chains experienced in China, and presents the practical response of JD.com throughout the pandemic. To summarize, the pandemic caused exceptional demand and severe logistical disruptions in China, and JD.com has handled well its supply chain management in response based on its integrated supply chain structure and comprehensive intelligent platforms. In particular, the existing intelligent platforms and the delivery procedures were modified slightly but promptly to deal with specific disruptions. Moreover, the entire market scenario in China was effectively controlled through the joint efforts of multiple firms, the government, and the entire Chinese society. Our study provides an example of using practical operational indicators to analyze supply chain resilience, and suggests firms pay attention to operational flexibility and collaboration beyond supply chains to deal with a large‐scale supply chain disruption, such as the COVID‐19 outbreak.

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Review of quantitative methods for supply chain resilience analysis

Cited by 733 publications

References 132 publications

Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak

Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak

The rippled newsvendor: A new inventory framework for modeling supply chain risk severity in the presence of risk propagation

Strengthening supply chain resilience during COVID‐19: A case study of JD.com

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