Quantifying the Supply Chain Resilience

Barroso, Ana Paula; Machado, V.H.; Carvalho, Helena; Cruz‐Machado, V.

doi:10.5772/59580

Cited by 32 publications

(20 citation statements)

References 64 publications

(71 reference statements)

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“…Interest in resilient SCs grew in the last years, reflected in a growing number of scientific articles (Christopher and Peck, 2004;Carvalho et al, 2014;Mensah and Merkuryev, 2014). This is due to increasing complexity and globalisation of SCs and higher disruption risks caused by environmental and human-induced events (Pettit et al, 2010;Sáenz and Revilla, 2014;Barroso et al, 2015). However, RSCM is still an emerging field and as such, it is highly dynamic with regard to its definition and formative elements (Carvalho et al, 2014;Kim et al, 2015).…”

Section: Resilient Supply Chain Managementmentioning

confidence: 99%

“…A central aspect of RSCM is its connection to supply chain risk management (SCRM) (Qazi and Gaudenzi, 2016). Some authors regard SC resilience as a core element of SCRM (Ponomarov and Holcomb, 2009;Dinh et al, 2012;Barroso et al, 2015). Other authors point out that RSCM features more proactive elements, meaning that companies should try to avoid risks and to mitigate possible damages in advance (Beermann, 2011;Kamalahmadi and Parast, 2016;Pettit et al, 2010).…”

Section: Resilient Supply Chain Managementmentioning

confidence: 99%

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Compromise or complement? Exploring the interactions between sustainable and resilient supply chain management

Karutz

Riedner

Vega

et al. 2018

IJSCOR

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Supply chain management (SCM) increasingly needs to address both climate change mitigation and adaptation issues. While mitigation aims at sustainability by reducing the environmental impact of supply chains (SCs), adaptation entails improving resilience by increasing the ability to cope with climate-induced disruptions. Although sustainable SCM (SSCM) and resilient SCM (RSCM) are of increasing importance, there has been little effort to conceptually connect SSCM and RSCM. Our study explores the interconnections between both concepts by outlining theoretical elements and conducting a case study of four companies in the automotive SC based on company documents and interviews. Results show that SSCM is prioritised

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Section: Resilient Supply Chain Managementmentioning

confidence: 99%

Section: Resilient Supply Chain Managementmentioning

confidence: 99%

Compromise or complement? Exploring the interactions between sustainable and resilient supply chain management

Karutz

Riedner

Vega

et al. 2018

IJSCOR

View full text Add to dashboard Cite

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“…This metric has been traditionally used as a quantitative SC performance measure (Beamon, 1998;Levy, 1995). More recently, some authors propose OFR as part of other resilience measures of SC as well (Barroso et al, 2015;Datta et al, 2007). In particular, Barroso et al (2015) uses the concept of resilience triangle, which can be defined as the performance trajectory along time since a disruption occurs until the SC achieves the normal performance levels (Tierney and Bruneau, 2007).…”

Section: Topological Metrics Of Sc Agilitymentioning

confidence: 99%

“…More recently, some authors propose OFR as part of other resilience measures of SC as well (Barroso et al, 2015;Datta et al, 2007). In particular, Barroso et al (2015) uses the concept of resilience triangle, which can be defined as the performance trajectory along time since a disruption occurs until the SC achieves the normal performance levels (Tierney and Bruneau, 2007). Other metrics based on the resilience triangle can be found in the paper of (Carvalho et al, 2012), which propose as part of the resilience metric the ratio of the actual and the promised lead time to deliver an order.…”

Section: Topological Metrics Of Sc Agilitymentioning

confidence: 99%

Estimating the influence of the network topology on the agility of food supply chains

Hernández

Pedroza-Gutiérrez

2019

PLoS ONE

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Several studies have shown that the performance of a supply chain is heavily influenced by the pattern of relationships among firms. This paper analyzes the structure of relationships (network topology) that leads to the highest agility of a food supply chain when sudden demand changes occur. To do this, a simulation model that represents a supply chain and specific rules to allocate orders is built. The supply chain in the model follows the specific characteristics of trade in the primary sector. The model is fitted to the conditions of a real seafood supply chain in Mexico. Agility is measured through the effect on the order fulfillment of a sudden demand shock and the recovery time of this rate to previous values. The simulation results show that the most suitable structure depends on how product is distributed among suppliers. If product is evenly shared, supply chains with homogeneous topologies are more agile than supply chains with heterogeneous topologies, but the result is the opposite if product is unevenly shared among suppliers. Other previous recommendations, such as having multiple suppliers and horizontal links, are confirmed by the simulations. These findings contribute to the general debate on which is the optimal topology for an agile supply chain.

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“…While (Thadakamalla et al 2004) was the first to use topology of SCNs for studying resilience, subsequent papers like (Zhao et al 2011b;Wang et al 2015) provide supply chain design insights by examining resilience against both random and targeted attacks. Numerous specialized measures of resilience have also been proposed for supply chains (Barroso et al 2015), but most analyses concentrate on empirical studies from a centralized context. Outside of the supply chain network community, resilience has also attracted significant attention (see for example (Gao et al 2016)).…”

Section: Introductionmentioning

confidence: 99%

Modeling topologically resilient supply chain networks

Arora

Ventresca

2018

Appl Netw Sci

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The ubiquity of supply chains along with their increasingly interconnected structure has ignited interest in studying supply chain networks through the lens of complex adaptive systems. A particularly important characteristic of supply chains is the desirable goal of sustaining their operation when exposed to unexpected perturbations. Applied network science methods can be used to analyze topological properties of supply chains and propose models for their growth. Network models focusing on the critical aspect of supply chain resilience may provide insights into the design of supply networks that may quickly recover from disruptions. This is vital for understanding both static and dynamic structures of complex supply networks, and enabling management to make informed decisions and prioritizing particular operations. This paper proposes an action-based perspective for creating a compact probabilistic model for a given real-world supply network. The action-based model consists of a set of rules (actions) that a firm may use to connect with other firms, such that the synthesized networks are topologically resilient. Additionally, it captures the heterogeneous roles of different firms by incorporating domain specific constraints. Results analyzing the resilience of networks subjected to node disruptions show that networks synthesized using the proposed model can generally outperform its real-world counterpart.

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Quantifying the Supply Chain Resilience

Cited by 32 publications

References 64 publications

Compromise or complement? Exploring the interactions between sustainable and resilient supply chain management

Compromise or complement? Exploring the interactions between sustainable and resilient supply chain management

Estimating the influence of the network topology on the agility of food supply chains

Modeling topologically resilient supply chain networks

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