Archive for May 2011

Categorization of Supply Chain Risk and Risk Management

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Paper

Categorization of Supply Chain Risk and Risk Management
Year: 
2004

Several questions I receive concern the very basic elements of supply chain risk management. Since reading “Categorization of Supply Chain Risk and Risk Management” by Norrman and Lindroth (2004) I often referred to it, to describe the different aspects.

Framework

Norrman and Lindroth suggest a three dimensional framework to analyze different supply chain risk management issues (figure 1). The dimensions are:

This Week in Supply Chain Management (19 / 2011)

This was week 19 in 2011. It was a very active week, with several good articles I’d like to recommend reading.

Case Study on Managing Disruptions in Supply Chains

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Paper

Managing disruptions in supply chains: A case study of a retail supply chain
Year: 
2009

Disruptions are an often recurring research objective in this blog. After writing about the severity of disruptions and conceptual research on how to mitigate them, todays article is concerned with how disruptions are managed in practice.

Internet Induced Risks for global Supply Chains

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Paper

Disintermediation, disintegration and risk in the SME global supply chain

In retrospect forecasts of the future often seem dull or at least miss important aspects of the actual realization. In 2000 the Ritchie and Brindley analyzed effects of the uprising Internet on supply chain management and especially newly emerging risks associated with them for small and medium sized enterprises. I wrote this review from the view of 2000 as well so you can decide yourself to what degree you see their hypothesis already fulfilled.

This Week in Supply Chain Management (18 / 2011)

This was week 18 in 2011. I hope you had a great week and enjoyed reading the blog. I have read several great stories this week, that I’ll present here.

Supply Chains and Fuzzy Demand

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Paper

Fuzzy facility location-allocation problem under the Hurwicz criterion
Year: 
2008

Risk in supply chains can be included in several different ways into the decision making process.

No Risk

A statement in many supply chain models is that some/most/all parameters of the model are fixed (e.g. fixed demand, zero probability of a hurricane).

The result is, if the real value of this parameter diverges from the assumptions, the results of the model will be flawed to a certain degree (up to completely unusable).

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