Sometimes I am really amazed by the research topics of others. Even though I already read much about simulation and its potential benefits, up to now I have never seen a analysis of supply chain simulation performance on a larger sample. So I would like to share those insights here.
I have to distract myself a little bit from thinking about supply chain risks too much, so I thought why not use the chance to read a different article once in a while. Well, at least the authors are familiar: Paul Childerhouse and Denis R. Towill and their paper of 2003: “Simplified material flow holds the key to supply chain integration”
In research the decisions on the product and the corresponding supply chain are usually separated. This happens for a variety of reasons, one may be the reduction of problem complexity, another that the research focus is on a brown field approach where the products are seen as given.
This makes this article even more interesting, since it combines the both decisions in one conceptual process and a model to optimize the decision.
The distinction between disruptions and recurrent / continuous risks is commonly used by researchers and practitioners in supply chain management. But how should the differences be reflected in the supply chain planning process? Is it necessary to differentiate between the risk types here as well?
In 2007 Sunil Chopra et al. analyzed this question in depth.