Not only earthquakes and terrorist attacks can lead to supply chain disruptions. Supply chains are also subject to behavioral risks, meaning that participants of the supply chain could exhibit behavior which might be consistent with their goals, but contrary to the goals of the supply chain’s other participants.
Submitted by Daniel Dumke on Mon, 2011-12-19 17:35
Paper
Optimal newsvendor policies for dual-sourcing supply chains: A disruption risk management framework
Year:
2012
This is the continuation of the Greece week and today I am going to have a look at a mathematical model to capture the effects of dual disruptions in a news-vendor model.
This time the three authors (Xanthopoulos, Vlachos and Iakovou) come from the Aristotle University of Thessaloniki.
Submitted by Daniel Dumke on Wed, 2011-11-23 11:22
Paper
Supplier risk assessment and monitoring for the automotive industry
Year:
2008
A typical supply chain risk management process consists of four steps: risk identification, assessment, management and monitoring. From those steps, one of the most neglected step is the risk monitoring.
Risk monitoring implies two different actions: Continuous risk assessment and actions, as soon as pre-defined limits are reached.
So this article sheds light on the risk monitoring, from an article by Blackhurst, Scheibe and Johnson (“Supplier risk assessment and monitoring for the automotive industry”).
This study takes a closer look at supply risk management, but this time from the perspective of several small companies. This article tries to answer the questions what risks small company owners (SCOs) see and how SCOs mitigate those risks.
The demand of many products is connected to the weather patterns during and before the selling season. Ice cream can be best sold during warm summers, of course. But also other food products or clothes exhibit weather dependent demand pattern.
This is another look at flexibility strategies to reduce uncertainty in supply chains. This time from the point of view of five Chinese companies in the apparel industry.
This article sheds light on the question of how much flexibility is necessary to secure the supply chain against disruption risks.
The paper reviewed today takes a closer look at three supply chain risks: supply, process and demand risks (figure 1).
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.
as a good overview of supply chain risk management literature.
