A quantitative analysis of disruption risk in a multi-echelon supply chain

Schmitt, Amanda J.; Singh, Meenakshi

doi:10.1016/j.ijpe.2012.01.004

Cited by 277 publications

(107 citation statements)

References 13 publications

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“…According to the systematic review published by Hohenstein et al [7], the resilience of a supply chain network as "the ability of the supply chain network to withstand disruptions and return to a normal status quickly", includes the two most important attributes, response and recovery, and is consistent with the definitions provided in [8][9][10]. Figure 1 shows the conceptual schematic diagram of the system's resilience behavior.…”

Section: Introductionmentioning

confidence: 90%

“…Klibi and Martel [29] also proposed a Monte Carlo approach to generate scenarios incorporating both random and extreme events for risk modeling on supply chain networks. Schmitt and Singh [8] used a simulation model to generalize the impact of disruptions on supply chain networks and focused on the downtime and recovery of the system. However, the resilience measures used in these works are different from those used here, and the KPI average delivery distance has not been studied thoroughly in any previous work.…”

Section: Resilience Estimation Using Simulationmentioning

confidence: 99%

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A New Resilience Measure for Supply Chain Networks

Dong

Jin

et al. 2017

Sustainability

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Currently, supply chain networks can span the whole world, and any disruption of these networks may cause economic losses, decreases in sales and unsustainable supplies. Resilience, the ability of the system to withstand disruption and return to a normal state quickly, has become a new challenge during the supply chain network design. This paper defines a new resilience measure as the ratio of the integral of the normalized system performance within its maximum allowable recovery time after the disruption to the integral of the performance in the normal state. Using the maximum allowable recovery time of the system as the time interval under consideration, this measure allows the resilience of different systems to be compared on the same relative scale, and be used under both scenarios that the system can or cannot restore in the given time. Two specific resilience measures, the resilience based on the amount of product delivered and the resilience based on the average delivery distance, are provided for supply chain networks. To estimate the resilience of a given supply chain network, a resilience simulation method is proposed based on the Monte Carlo method. A four-layered hierarchial mobile phone supply chain network is used to illustrate the resilience quantification process and show how network structure affects the resilience of supply chain networks.

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Section: Introductionmentioning

confidence: 90%

Section: Resilience Estimation Using Simulationmentioning

confidence: 99%

A New Resilience Measure for Supply Chain Networks

Dong

Jin

et al. 2017

Sustainability

View full text Add to dashboard Cite

show abstract

“…Usefulness of this approach however depends on the availability of mitigation options that could utilise the advance disturbance information. The choice of these options however, do not form a part of this study and can be referred to elsewhere (Tomlin, 2006;Schmitt and Singh, 2012;Shao and Dong, 2012).…”

Section: Problem Statement and Capacity Constraintsmentioning

confidence: 99%

Detecting disturbances in supply chains: the case of capacity constraints

Shukla

Naim

2017

IJLM

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Purpose -The ability to detect disturbances quickly as they arise in a supply chain helps to manage them efficiently and effectively. This paper is aimed at demonstrating the feasibility of automatically, and therefore quickly detecting a specific disturbance, which is constrained capacity at a supply chain echelon.Design/Methodology/approach -Different supply chain echelons of a simulated four echelon supply chain were individually capacity constrained to assess their impacts on the profiles of system variables, and to develop a signature that related the profiles to the echelon location of the capacity constraint. A review of disturbance detection techniques across various domains formed the basis for considering the signature based technique.Findings -The signature for detecting a capacity constrained echelon was found to be based on cluster profiles of shipping and net inventory variables for that echelon as well as other echelons in a supply chain, where the variables are represented as spectra.Originality/value-Detection of disturbances in a supply chain including that of constrained capacity at an echelon has seen limited research where this study makes a contribution.

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“…Isso deve ser feito, pois em um ambiente com grande variedade de produtos e matérias-primas, a política de redundância pode elevar demasiadamente os estoques, observando que os níveis de inventário devem sempre levar em conta os custos e os riscos de ruptura. A redundância contribui com a resposta à ruptura, podendo então ser considerada um facilitador à geração de resiliência na cadeia de suprimentos (RICE; CANIATO, 2003;SCHMITT;SINGH, 2012;JOHNSON;ELLIOTT;DRAKE, 2013;SCHOLTEN;SCOTT;FYNES, 2014).…”

Section: Redundânciaunclassified

O que favorece a resiliência na cadeia de suprimentos? Insights a partir de uma revisão sistemática de literatura

Costa

Silva

Pereira

2016

Revista PO: R. Eletr. de Eng. de Produção e Correlatas

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Resumo: Riscos e vulnerabilidades são fatores intrínsecos a qualquer cadeia de suprimentos. Para superar possíveis problemas gerados por rupturas no fluxo de materiais ao longo das cadeias, gestores e pesquisadores estão cada vez mais interessados em explorar fatores internos e externos que auxiliam a geração de resiliência. Nesse contexto, o objetivo deste estudo foi caracterizar os facilitadores à resiliência na cadeia de suprimentos presentes na literatura e analisar suas possíveis inter-relações. Para tanto, utilizou-se como método de pesquisa uma revisão sistemática de literatura. Como resultado, doze facilitadores foram caracterizados e relacionados, formando três grandes grupos: um relacionado ao capital social e ao conhecimento, outro a resposta à ruptura, e um último agrupamento ligado ao relacionamento e a preparação para rupturas. Trabalhos futuros devem buscar responder empiricamente como os facilitadores mapeados contribuem para a geração de resiliência, fazendo uso de casos críticos nacionais como mercados de produtos de alta variabilidade ou perecíveis. Palavras-chave:Facilitadores. Gestão da Cadeia de Suprimentos. Resiliência, Revisão Sistemática da Literatura.Abstract: Risks and vulnerabilities are intrinsic factors for any supply chain. To overcome possible problems caused by disruptions to material flow in supply chains, managers and researchers are increasingly interested in exploring internal and external factors that help generate resilience. In this context, the aim of this study was to characterize the enablers to resilience in supply chains in the literature and analyze their possible interrelationships. To do so, a systematic literature review was conducted as a research method. As a result, twelve enablers were characterized and related, forming three groups: one related to share capital and knowledge; another concerning the response to rupture; and the third group linked to the relationship and preparation regarding ruptures. Future work should seek to answer empirically how the enablers contribute to generating resilience, making use of national critical cases as high variability or perishable markets.

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A quantitative analysis of disruption risk in a multi-echelon supply chain

Cited by 277 publications

References 13 publications

A New Resilience Measure for Supply Chain Networks

A New Resilience Measure for Supply Chain Networks

Detecting disturbances in supply chains: the case of capacity constraints

O que favorece a resiliência na cadeia de suprimentos? Insights a partir de uma revisão sistemática de literatura

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