Analysing risks in supply networks to facilitate outsourcing decisions

Lockamy, Archie; McCormack, Kevin

doi:10.1080/00207540903175152

Cited by 136 publications

(98 citation statements)

References 32 publications

(33 reference statements)

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“…One possible way is the classification of supply chain risks into two types: operational risk and disruption risk [25][26][27]. Operational risk is defined as ''the risk of loss resulting from inadequate or failed internal processes, people, and systems or from external events'' [25].…”

Section: Risk Categorizationmentioning

confidence: 99%

“…Operational risk is defined as ''the risk of loss resulting from inadequate or failed internal processes, people, and systems or from external events'' [25]. Examples of operational risks are quality, delivery or service problems [27]. Disruption risk is referred to natural or manmade disasters such as terrorist attacks, sociopolitical instability, strikes, earthquakes, hurricanes and floods [26,27].…”

Section: Risk Categorizationmentioning

confidence: 99%

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A framework and risk analysis for supply chain emission trading

Schwarz

Haasis

2016

Logist. Res.

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Reports show that it is necessary to control greenhouse gas emissions from the supply chain perspective. Numerous authors have already started quantifying the impacts of emission trading on supply chain performance in terms of cost and emissions. However, rare effort is made to conceptualize this implementation. This paper generates firstly one conceptual framework for supply chain emission trading through a review of previous work and then asserts how practically it could work out. In addition, the risks confronted by firms and supply chains under emission trading are identified considering each step involved in the framework. These risks are further classified based on the concept of supply chain risks. Results show that the implementation of emission trading on supply chain would raise additional risks into existing supply chain risk portfolio. At last, this paper provides some risk mitigation measures for those identified risks.

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Section: Risk Categorizationmentioning

confidence: 99%

Section: Risk Categorizationmentioning

confidence: 99%

A framework and risk analysis for supply chain emission trading

Schwarz

Haasis

2016

Logist. Res.

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“…Organisations need to implement a proactive supply chain risk management towards their vulnerabilities (Christopher and Lee, 2004;Oehmen et al, 2009;Trkman and McCormack, 2009;Lockamy and McCormack, 2010). Effective disruption-management strategy is an obligatory module of organisations overall supply chain strategy.…”

Section: Conclusion and Future Scopementioning

confidence: 99%

Coping with uncertainties via resilient supply chain framework

Soni

Jain

Salmador

2015

IJPM

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El acceso a la versión del editor puede requerir la suscripción del recurso Access to the published version may require subscription Coping with uncertainties via resilient supply chain frameworkUmang Soni Abstract: Supply chain resilience (SCR) is a promising area budding from the emergent admiration to minimise supply chain disruptions by practitioners and by researchers across the globe. To inflate monetary earnings, many organisations execute initiatives such as comprehensive reach of supply chains, amplified outsourcing, shorter product life cycles, reduced buffers and centralisation. These initiatives are effective in stable surroundings, but they could make supply chain vulnerable to various types of disruptions. The main thrust of this research is, to propose a conceptual model for endowing deeper knowledge of how uncertainty from suppliers, customers and existing supply chain structure amplifies vulnerability and consequently increases supply chain risk exposure. In accordance with fitness landscape theory, this paper accepts a complex systems perspective to view supply chain organisations and understand their capabilities. It focuses on diminishing the vulnerability of supply chain systems and the ability to design systems to be more resilient to change.Keywords: supply chain management; supply chain resilience; vulnerability; supply chain risk.Reference to this paper should be made as follows: Soni, U., Jain, V. and Salmador, M.P. (2015) 'Coping with uncertainties via resilient supply chain framework', Int.

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“…Lockamy and McCormack [12] developed a model for benchmarking supplier risks incorporating risk events related to supplier network, internal operations and external factors. They used surveys and interviews for collection of data from both the internal and external company sources and applied the model on a group of 15 automotive casting suppliers for a major automotive company in US.…”

Section: Bayesian Belief Network Based Modelsmentioning

confidence: 99%