A note on supply chain risk classification: discussion and proposal

Blos, Maurício F.; Hoeflich, Sérgio Luiz; Dias, Eduardo Mário; Wee, Hui‐Ming

doi:10.1080/00207543.2015.1067375

Cited by 17 publications

(14 citation statements)

References 4 publications

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“…We already have our final weights. We see that the most important risk is number 2 (Risks related to the direct process to the product / service), followed by risk group number 5 and 1 (Blos et al, 2016).…”

Section: Risk Analysis and Assessmentmentioning

confidence: 94%

“…And "Brainstorm", the main risks that exist in the supply chain we are studying are collected (ITM Platform, 2016) (UNE-EN 31,010 2011). The risks identified in the "PanJaén" supply chain have been obtained from a list of their own elaboration for the first assessment of their impact using sources such as the Iowa State University College (Amling & Daugherty, 2020), the International Journal of Logistics and Applications Research (Rogers et al, 2016) and the International Journal of Production Research (Blos et al, 2016). The identified risks appear in Table 2.…”

Section: Risk Identificationmentioning

confidence: 99%

“…At all times, the international standard related to the management of supply chain risks, ISO 28000, will be used as a reference and other standards that have been considered convenient, such as ISO 31000 (Leitch, 2010) (project risk management) or (UNE-EN-IS0 9001, 2015) (quality management). Both ISO 31000 (UNE-EN-31000 AENOR, 2018) and ISO 28000 (UNE-EN-ISO 2800 AENOR, 2008) reflect the need for risk management not only in the supply chain, but in all parts of an organization (Blos et al, 2016) Both require more reflection than many organizations do on the subject (Hermoso-Orzáez et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Risk management methodology in the supply chain: a case study applied

Hermoso-Orzáez

Garzón-Moreno

2021

Ann Oper Res

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This work provides a general risk management procedure applied to synchronized supply chains. After conducting a literature review and taking the international standard ISO 28000 and ISO 31000 as a reference. The most important steps that enable organizations to carry out supply chain risk management are described. Steps such as defining the context, identifying and analyzing risks or avoiding them, controlling them and mitigating them are some of the main points of this work. On the other hand, we carried out a practical case in which the execution of this procedure is carried out in a real supply chain located in the city of Jaén. In this specific case study, the most important risks and those that require early treatment will be discussed. In addition, a series of suggestions and ideas will be established, by way of conclusions, that allow said organization to improve the results that we have obtained in risk management.

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Section: Risk Analysis and Assessmentmentioning

confidence: 94%

Section: Risk Identificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Risk management methodology in the supply chain: a case study applied

Hermoso-Orzáez

Garzón-Moreno

2021

Ann Oper Res

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“…The ISO/IEC 28000 is a standard that defines the requirements of the supply chain security management system and provides the management model for the organization that wants to implement this system. The objective is to effectively manage risks by organizing the security activities of the digital supply chain organization under the same system as other management systems [32] [33] [34].…”

Section: Component Analysis Of Cyber Resilient Model For the Digital Supply Chain For Digital Business Continuity Managementmentioning

confidence: 99%

Application of an Analytic Hierarchy Process to Select the Level of a Cyber Resilient Capability Maturity Model in Digital Supply Chain Systems

2021

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Cyber resilient is the ability to prepare for, respond to and recover from cyber attacks. Cyber resilient has emerged over the past few years because traditional cybersecurity measures are no longer enough to protect organizations from the spate of persistent attacks. It helps an organization protect against cyber risks, defend against and limit the severity of attacks, and ensure its continued survival despite an attack.The cyber resilient capability maturity model is a very important element within an effective in digital supply chain. The maturity model has 6 components: identify, protect, detect, respond, recover and continuity which affect the cybersecurity of the organization. To measure the maturity level needs a holistic approach. Therefore, the analytic hierarchy process (AHP) approach which allows both multi-criteria and simultaneous evaluation. Generally, the factors affecting cyber resilient in digital supply chain have non-physical structures. Therefore, the real problem can be represented in a better way by using fuzzy numbers instead of numbers to evaluate these factors. In this study, a fuzzy AHP approach is proposed to determine the cyber resilient capability maturity level in digital supply chain. The proposed method is applied in a real SMEs company. In the application, factors causing are weighted with triangular fuzzy numbers in pairwise comparisons. The result indicate that the weight factors from comparing the relationship of all factors put the importance of identify factors first, followed by protect, detect, respond, recover and continuity respectively.

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“…These areas should be considered a priority and a systemic approach to ensuring security in the supply chain is necessary. The support for the correct implementation of the above processes comes in the form of standards such as ISO 28000, ISO 31000 and ISO 27001 (Blos et al , 2016).…”

Section: Introductionmentioning

confidence: 99%

Management systems and improving supply chain processes

Zimon

Madzík

Sroufe

2019

IJRDM

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Purpose The purpose of this paper is to examine the impact of implementing standardized management systems on processes related to competitiveness. The authors also want to better understand how these systems create value for a client in organizations co-developing supply chains operating in Eastern and Central Europe. Design/methodology/approach This is an empirical study utilizing a survey methodology with two groups of respondents, logistic service providers and focal companies. Data analysis was based on descriptive statistics and on analysis of variance (ANOVA) with organization type as a stratification factor. Deeper investigation of latent relationships between variables was performed with factor analysis with principal component analysis as the main method for factor extraction. Findings The research shows standardized management systems are useful in supply chain management (SCM) regardless of the role that the organization plays in the supply chain. However, the strength of their positive impact varies. Practical implications The results and new insights presented within this study should prove useful for organizations co-creating supply chains in Europe. Decision makers considering the implementation of guidelines for standardized management systems will find multiple benefits and innovative outcomes within supply chains when choosing to implement. For researchers, the results of this study fill a gap in this area of research on SCM and standardized management systems while providing a path for continued and emerging research. Originality/value The results obtained help to fill a gap in the literature regarding a lack of research in the context of Easter and Central Europe and contribute to the advancement of knowledge about the impact of standardized management systems on SCM that includes the importance of both environmental and social performance.

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A note on supply chain risk classification: discussion and proposal

Cited by 17 publications

References 4 publications

Risk management methodology in the supply chain: a case study applied

Risk management methodology in the supply chain: a case study applied

Application of an Analytic Hierarchy Process to Select the Level of a Cyber Resilient Capability Maturity Model in Digital Supply Chain Systems

Management systems and improving supply chain processes

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