While cleaning out some of my blog directories, I just found this article in my backup repository, I already wrote it over a year ago, but it still seems relevant. So without further ado: In their 2009 article Jörn-Henrik Thun and Daniel Hoenig from the Industrieseminar Mannheim (link only in German), present their research on Supply Chain Risk Management within the German automotive industry.
Even though supply chain risk has been analyzed in the literature for some time (eg. the Newsvendor / Newsboy problem, with the only uncertainty being demand). Nevertheless there are still many gaps (or opportunities) within this field.
In 2007 Khan and Burnes created a research agenda for the future and most of the topics covered still can be viewed as open.
Major Issues
The authors identify two major shortcomings of the current literature.
1) Locate itself within the wider literature on the theory of risk and the practice of risk management
I haven’t really touched on the early research on risks in supply chain management. One major stream is on random yields. Parlar and Wang (1993) were one of the firsts to extend the classic Newsboy and EOQ (Economic Order Quantity) models to include uncertainty.
Today I want to have a look at “Design and operation of distribution centres within agile Supply Chains” by Peter Baker (2008; Cranfield University).
The main part of the article describes the results of a survey conducted with nine business units to assess challenges and measures for supply chain agility.
Agility
is defined as “management concept centered around responsiveness to dynamic and turbulent markets and customer demand”. But it also involves exploiting these changing markets to take advantage from it.
Submitted by Daniel Dumke on Wed, 2010-10-13 15:28
Paper
Supply Chain Design - Robuste Planung mit differenzierter Auswahl der Zulieferer
Published In:
Peter Lang, Frankfurt a.M., Dissertation
Year:
2005
This is the third contribution to my series on doctoral dissertations on Supply Chain Risk Management. An immense effort and dedication is spent on these works only to find the results hidden in the libraries. So the goal is raise interest in the research of my peers.
Defining a conceptual framework for supply chain risk management can support thinking about risks in supply chains and streamline the decision making process, and therefore improve the current supply chain at hand.
This is similar to a brown-field approach, where gradual changes and risk mitigation strategies are employed onto an existing supply chain. Thus another source for improvement strategies can be a green-field approach, where the supply chain is modeled and optimized to generate new input for real-world optimization.
Some weeks ago I wrote about Fisher’s suggestions on how to select the right supply chain for your product. But how to continue from there? How do different products affect the further planning steps needed?
Supply Chain Risk manifests itself in many ways. Today the German airlines restored their regular flight schedule again after six days of no or limited air traffic, after the latest eruption of the Eyjafjallajökull vulcano on Iceland.
The consequences of such events only rarely become evident, but in the background emergency plans have to be executed (or developed).
I already reviewed one of the articles of Zsidisin (Perception of Supply Risk). Today I had a look at an article about how the purchasing organization is involved in the supply chain risk management activities.
