Selecting the right supply chain based on risks

Wieland, Andreas

doi:10.1108/17410381311327954

Cited by 66 publications

(37 citation statements)

References 52 publications

(60 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Among the 24 SC capabilities, 13 are identified as the Level I group, as no other primary element can be reached above these elements. [14] [13], [36] [37], [13], [36] [36] [38] [39], [40] ζ 2 [41], [42], [43] [44], [5], [45], [46], [47] [48], [49], [4], [50], [51], [13], [5], [52], [53], [54], [55], [45], [56], [57], [14], [58], [46], [14], [59], [60], [61], [62] [5], [63], [46] [35], [52], […”

Section: Literature Evidencementioning

confidence: 99%

Evidence-Based Resilience Management for Supply Chain Sustainability: An Interpretive Structural Modelling Approach

Shin

Park

2019

Sustainability

View full text Add to dashboard Cite

The purpose of this study is to systematically identify and design improvement planning for supply chain resilience (SCRES) for a higher level of sustainability and a competitive advantage. Literature-based interpretive structural modelling (ISM), a pairing of the systematic literature review (SLR) and ISM approaches, is proposed for investigating and identifying a set of key performance measures of resilience for supply chain (SC) management. In line with previous research, we identified and updated 13 key SC capabilities out of 24 as core performance measures of supply network resilience. Furthermore, our findings categorised each capability and element into one of four types of influential power variables (drivers, dependent, autonomous, or linkage). This study (i) lends support to and updates previous research that examined the core capabilities of SCRES and (ii) provides complementary classifications for the influential powers of SCRES capabilities and elements. The literature indicates that there has been no research that has integrated SLR as a basis to ISM for an effective way to utilize existing studies for increasing awareness and developing managerial guidelines to achieve SCRES.

show abstract

Section: Literature Evidencementioning

confidence: 99%

Evidence-Based Resilience Management for Supply Chain Sustainability: An Interpretive Structural Modelling Approach

Shin

Park

2019

Sustainability

View full text Add to dashboard Cite

show abstract

“…De uma maneira geral, o risco é compreendido como uma relação entre severidade e frequência de ocorrência (NORRMAN;JANSSON, 2004;BRINDLEY, 2007;WANG;YANG, 2007;TRKMAN;MCCORMACK, 2009;LOCKAMY;MCCORMACK, 2010;MUSA, 2011;TUMMALA;WIELAND, 2013;KUMAR;HIMES;KRITZER, 2014).…”

Section: Esses Modelos Compõem Um Campo De Gestão Denominado De Supplunclassified

Avaliação do risco na cadeia de suprimento: um estudo exploratório no setor alimentício

Silva

Oliveira

Leite

et al. 2017

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

View full text Add to dashboard Cite

Resumo: Este artigo apresenta a avaliação dos riscos em duas grandes empresas participantes de duas cadeias de suprimentos do setor alimentício. A partir do levantamento teórico, utilizou-se um questionário baseado em 24 classificações de riscos para mapear os riscos inerentes às empresas e suas repercursões nas cadeias de suprimentos ás quais pertencem. Os questionários foram respondidos por individuos do nível gerencial devido ao amplo conhecimento que possuem. Posteriormente, realizou-se uma análise dos riscos por meio de matrizes que utilizam as dimensões de frequência de ocorrência e impacto do risco. Os principais resultados apontaram que as empresas pesquisadas apresentam riscos semelhantes no que se refere aos riscos internos, como o risco de demanda, de capacidade, de informação e o risco operacional. Isso mostra que as empresas investigadas possuem ainda dificuldades na gestão que podem afetar o seu negócio. Observou-se também que a quantidade de riscos externos à empresa foram em menor número e os riscos externos à cadeia inexistentes. Por fim, os riscos mais críticos para as duas empresas foram levantados, sendo que para a empresa A estes foram: o risco operacional, de estoque e de preço, enquanto que para a empresa B foram: o risco de preço, logístico, cliente e operacional. Dessa forma, pode-se concluir que a avaliação dos riscos, apesar de ser de natureza qualitativa, é fundamental para estabelecer as estratégias de mitigação apropriadas. Palavras-chave: Riscos. Avaliação de Riscos. Gestão de Riscos na Cadeia de Suprimentos. Setor Alimentício.Abstract: This article presents the risk assessment in two major companies participating in two food supply chain. From the theoretical survey, a questionnaire was used based on 24 ratings risks to map the risks to companies and their repercussions in the supply chains to which they belong. The questionnaires were answered by the management level individuals due to the extensive knowledge they possess. Later, there was a risk analysis through arrays using the frequency of occurrence of dimensions and impact of the risk. The main results showed that the surveyed companies have similar risks in relation to internal risks such as the risk of demand, capacity, information and operational risk. This shows that the investigated companies still have difficulties in managing that can affect your business. It was also observed that the amount of external risks to the company was fewer and external risks to non-existent chain. Finally, the most critical risks for both companies were raised, and for the company to these were: operational risk, inventory and price, while for Company B were: price risk, logistics, customer and operating. Thus, it can be concluded that the risk assessment, although qualitative, it is essential to establish the appropriate mitigation strategies.

show abstract

“…Wieland [25] developed mathematical models for determining optimal solution and break-even points in the realm of four strategies-agility, robustness, resilience and rigidity. Multi-criteria decision making [26,27] and stochastic programming [28][29][30][31] have also been utilized for assessing supply chain risks.…”

Section: Literature Reviewmentioning

confidence: 99%

Cost and benefit analysis of supplier risk mitigation in an aerospace Supply chain

Qazi

Quigley

Dickson

et al. 2015

2015 International Conference on Industrial Engineering and Systems Management (IESM)

View full text Add to dashboard Cite

This version is available at https://strathprints.strath.ac.uk/55539/ Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in further distribution of the material for any profitmaking activities or any commercial gain. You may freely distribute both the url (https://strathprints.strath.ac.uk/) and the content of this paper for research or private study, educational, or not-for-profit purposes without prior permission or charge.Any correspondence concerning this service should be sent to the Strathprints administrator: strathprints@strath.ac.ukThe Strathprints institutional repository (https://strathprints.strath.ac.uk) is a digital archive of University of Strathclyde research outputs. It has been developed to disseminate open access research outputs, expose data about those outputs, and enable the management and persistent access to Strathclyde's intellectual output. Abstract-Risk identification and risk estimation are important stages of any risk management process. Existing research in Supply chain risk management has mainly focused on these two stages whereas risk evaluation has not been fully explored which is an equally significant stage involving evaluation of different risk mitigation strategies. The main purpose of this paper is to propose a method of evaluating different mitigation strategies through cost and benefit analysis. The proposed method introduces a unique concept of integrating cost and relative impact of different combinations of mitigation strategies within a network setting of interconnected risk triggers, risk factors and risk mitigation strategies. We have applied our method on a case study that was conducted in an aerospace supply chain. Our approach is useful in identifying an optimal combination of mitigation strategies against a given budget constraint. Furthermore, the model can also be used for determining such strategies in relation to a given level of risk exposure. We have incorporated NoisyOR function within the Bayesian Network model in order to reduce the complexity involved in eliciting a huge number of conditional probability values.

show abstract

Selecting the right supply chain based on risks

Cited by 66 publications

References 52 publications

Evidence-Based Resilience Management for Supply Chain Sustainability: An Interpretive Structural Modelling Approach

Evidence-Based Resilience Management for Supply Chain Sustainability: An Interpretive Structural Modelling Approach

Avaliação do risco na cadeia de suprimento: um estudo exploratório no setor alimentício

Cost and benefit analysis of supplier risk mitigation in an aerospace Supply chain

Contact Info

Product

Resources

About