Today’s article is from the late 90s, but sets a great example for research methodology in supply chain risk management. But don’t worry, I will focus on the results, since they’re very interesting as well. The objective of today’s article (Supply Chain Management in Food Chains: Improving Performance by Reducing Uncertainty) is to show strategies (here called principles) to reduce uncertainty, and at the same time show the beneficial effects of reduced uncertainty.
The Bullwhip Effect was first discovered and analyzed in the 1950s. It triggered more intense research on the supply chain system (even though the term supply chain was not yet coined).
Starting in the early 1980s, this research finally lead to significant changes in real supply chains as well.
This article does a follow up on these developments and evaluates the relative improvements of each of the strategic stages.
This time I’d like to have a look at supply chain risk management from a strategic point of view: What are the prerequisites in the design and culture of an organization to mitigate supply chain risks? The title of the article I review today is: “The organizational antecedents of a firm’s supply chain agility for risk mitigation and response”.
The authors use structural equation modeling technique to establish the relations within their model (figure 1).
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.
Continuing with on with articles on general Systems Design and foundational articles, today I would like to talk about Conway’s seminal paper on “How Do Committees Invent” from 1968. If you want to read the paper completely, you can do so on Conway’s web page.
In his article Conway describes system design at its most generic level. Be it a system to prevent natural disasters or a new product of a company.
We already know that supply chain disruptions can be quite costly, and have not only direct but also indirect effects (eg. on stock prices). So do all supply chain disruptions have the same effect on the focal company? Of course not, but what are the driving factors that influence the impact?
In their conceptual note Craighead et al. (2007) analyse the factors of the impact supply chain disruptions.
Experts from research and business alike argue that within the last decades consumers have grown to be a more demanding factor for supply chain management. At the same time manufacturing and supply chain strategies adapted to this development (from lean to agile, see Christopher and Towill, 2000).
Is there consensus about the role of product design as the leading function in the supply chain? Not yet! This article introduces the topic of integrating decisions in product and supply chain design and gives a short glimpse on the “how to implement” part.