The resilience paradigm in the supply chain management: A case study

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

doi:10.1109/ieem.2011.6118052

Cited by 12 publications

(7 citation statements)

References 7 publications

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“…Suppy chains must be resilient to disturbances to achieve competitiveness (Barroso et al, 2010). Juttner et al (2003) affirm that supply chain disruptions can be financial losses, negative corporate image or bad reputation, eventually accompanied by demand loss, as well as damages in security and health.…”

Section: Supply Chain Resilience (Scres)mentioning

confidence: 99%

“…Additionally, SCRes is concerned with the system's ability to return to its original state or a new, more desirable one after experiencing a disturbance and avoiding the failure modes (Carvalho and Cruz Machado, 2007). Resilience was later defined by Barroso et al (2010) as the ability to react to the adverse effects brought by disturbances that occur specific moment to maintain SC's objectives. Resilience can also be considered a way to overcome SC vulnerability (Peck, 2005) and prevent shifting to undesirable states, the ones where failure modes could occur (Carvalho et al, 2012).…”

Section: Supply Chain Risk Management In Healthcarementioning

confidence: 99%

“…6.2.3 HCSC risks identified. The SCRM literature already has a significant amount of studies identifying risks (Juttner et al, 2003;Norrman and Jansson, 2004;Barroso et al, 2010;Petit et al, 2013). Based on risk categories created by Juttner et al (2003) and Petit et al (2013), we summarized the HCSC list of risks (Table 9).…”

Section: Supply Chain Risk Management In Healthcarementioning

confidence: 99%

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A systematic literature review on supply chain risk management: is healthcare management a forsaken research field?

Senna

Reis

Santos

et al. 2020

BIJ

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PurposeThis paper aims to present a systematic literature review (SLR) to investigate how supply chain risk management (SCRM) is applied to the healthcare supply chains and which improvement opportunities are being missed in this segment.Design/methodology/approachThis SLR used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method to answer three research questions: (1) Which are the main gaps concerning healthcare supply chain risk management (HCSCRM)? (2) What is the definition of HCSCRM? and (3) What are the risk management techniques and approaches used in healthcare supply chains?FindingsThe authors present a complete summary of the HCSCRM body of research, investigating research strings like clinical engineering and high reliability organizations (HROs) and its relations with HCSCRM; (1) This research revealed the five pillars of HCSCRM; (2) The authors proposed a formal definition for HCSCRM considering all the literature blocks explored and (3) The authors generated a list of risks present in healthcare supply chains resulting from extensive article research.Research limitations/implicationsThe authors only reviewed international journal articles (published in the English language), excluding conference papers, dissertations and theses, textbooks, book chapters, unpublished articles and notes. In addition, the study did not thoroughly investigate specific countries' particularities concerning how the healthcare providers are organized.Originality/valueThe contribution of this article is threefold: (1) To the best of authors knowledge, there is no other SLR about HCSCRM published in the scientific literature by the time of realization of authors’ work, suggesting that is the first effort to fulfill this research gap; (2) Following the previous contribution, in this work the authors propose a first formal definition for HCSCRM and (3) The authors analyzed concepts such as clinical engineering and HROs to establish the building blocks of HCSCRM.

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Section: Supply Chain Resilience (Scres)mentioning

confidence: 99%

Section: Supply Chain Risk Management In Healthcarementioning

confidence: 99%

Section: Supply Chain Risk Management In Healthcarementioning

confidence: 99%

See 1 more Smart Citation

A systematic literature review on supply chain risk management: is healthcare management a forsaken research field?

Senna

Reis

Santos

et al. 2020

BIJ

View full text Add to dashboard Cite

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“…SCRes strategies include increased stockpile for buffer inventory (Juttner et al, 2003;Iakovou et al, 2007;Barroso et al, 2010;Okoh and Haugen, 2015), multisourcing (Juttner et al, 2003;Iakovou et al, 2007;Barroso et al, 2010) and agility (Christopher and Peck, 2004). To avoid risks and generate resilience, organizations must designate a group of employees as respondents in case of a crisis such as a shortage of supplies and human resources (Lu et al, 2017;Okoh and Haugen, 2015).…”

Section: Healthcare Supply Chain Resiliencementioning

confidence: 99%

Supply chain risk management to achieve healthcare supply chain operational excellence: a fsQCA and PLS-SEM approach

Senna,

Guimarães Marujo,

Santos

et al. 2023

IJLSS

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Purpose Healthcare supply chains (HCSCs) face severe challenges when compared to regular chains. Besides avoiding bankruptcy, they must accomplish their goal which is to save lives. Since 2019 the COVID-19 pandemic evidenced that a HCSC disruption generates disruptions to other SCs. Therefore, the objective of this paper is threefold: conduct a systematic literature review to build a HCSC operational excellence (HSCOE) definition; build a conceptual framework by mapping the antecedents of HSCOE and formulate hypotheses; test the hypotheses using a fuzzy-Set Qualitative Comparative Analysis (fsQCA) combined with partial least squares structural equation modeling (PLS-SEM) techniques to obtain empirical validation. Design/methodology/approach Given this context, this paper conducted a systematic literature review to build a HSCOE conceptual framework and used a fsQCA combined with PLS-SEM techniques to obtain empirical validation. Findings The paper revealed a relationship between important variables to achieve HSCOE, such as Supply chain 4.0, SC risk management, SC integration, SC resilience (antecedents) and HSCOE (consequent). Originality/value The literature contributions of this paper are as follows: validating a new scale for each of the constructs; finding evidence of the causal relationships between the latent variables; measuring how the constructs influence the HSCOE; in addition, the results address important literature gaps identified by researchers and serve as a guide to organizations that need to implement these practices. Furthermore, this study recommends that HCSC managers consider the implementation of robust initiatives concerning the latent variables presented in this work.

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“…Simulation (Performance Measure) customer service level, production change over time, average inventory at each distribution center, total average network inventory [16] the integral of time multiplied by the absolute error, customer service level [32] order fill rate [17] downstream market share [33] order fulfillment rate [37] order fulfillment rate, the cost of backorders [38] lead time ratio [39] shipment delay time [40][41][42] Complex Network Theory (Topological Measure) the degree of distribution, average path length, clustering coefficient [21] the size of the largest functional network, clustering coefficient and characteristics path length [20] connectivity, characteristic path length, clustering coefficient [19] effective demand node ratio, supply mileage [34] node degree [15] flows, costs, capacities, and other topological measures [35] the degree of distribution, average path length, clustering coefficient [21] Conceptual (Survey Scale) flexibility, redundancy, disruption occurrences [18] robustness, ability [36] capability (ability to bounce back, market position, financial strength, recovery), vulnerability (turbulence, deliberate threats, external pressures) [14] commitment management, reporting culture, learning, awareness, preparedness and flexibility, self-organization, teamwork, redundancy, and fault-tolerance [22,23] 3. Methodology…”

Section: Resiliency Measure Referencementioning

confidence: 99%

Evaluating Resiliency of Supply Chain Network: A Data Envelopment Analysis Approach

et al. 2017

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Supply chains can be vulnerable to sudden disruptions, especially when it emphasizes efficient operation. In this regard, supply chain resilience (SCR) has received attention recently to cope with disruptions and improve competitiveness. This paper presents a novel methodology to measure resilience between different configurations of a supply chain network (SCN), based on a number of influential factors. For this reason, data envelopment analysis (DEA) is employed to identify the best-practice and less-performing SCN configurations among a group of alternatives. On this basis, the extent to which a current configuration can improve its resiliency is also measured. The methodology is applied to the case of E1, a liquefied petroleum gas (LPG) company in Korea. Topological and operational measures were used as variables to assess resilience. The results suggest that the LPG supply chain in the case study requires an addition in the number and capacity of supply nodes in its network.

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The resilience paradigm in the supply chain management: A case study

Cited by 12 publications

References 7 publications

A systematic literature review on supply chain risk management: is healthcare management a forsaken research field?

A systematic literature review on supply chain risk management: is healthcare management a forsaken research field?

Supply chain risk management to achieve healthcare supply chain operational excellence: a fsQCA and PLS-SEM approach

Evaluating Resiliency of Supply Chain Network: A Data Envelopment Analysis Approach

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