Submitted by Daniel Dumke on Sun, 2010-05-09 11:51
Paper
Cranfield Systematic Review
Year:
2010
My professor gave me the hint to look for a systematic literature review approach which has been used at Cranfield University in the UK. Actually I found the description of a methodology to be used for a “systematic review”, that can be quite useful.
Increasing oil prices make it more rewarding to look for alternative energy sources to fuel future propulsion.
In the case of the reviewed paper today I selected one of a few papers I recently discovered on this topic. If you like to know more just let me know.The basic assumption of this paper sets hydrogen as the replacement energy storage for oil.
Submitted by Daniel Dumke on Sun, 2011-03-13 13:22
Paper
Impact of Demographics on Supply Chain Risk Management Practice
Published In:
Massachusetts Institute of Technology, Master Thesis
This is somewhat of the fifth contribution to my series on doctoral dissertations, apart from not being a doctoral thesis but a master thesis on Supply Chain Risk Management. Nonetheless, 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.
In this article the authors, Giunipero and Eltantawy (2004) explore situational factors which contribute to the company’s level of investment into risk management activities. These factors are:
After the 2004 tsunami, which heavily affected parts of Thailand and Indonesia, national and international disaster response was quick to support the affected regions.
Within several weeks of the disaster, approximately 400 international non government organizations (NGOs) were working in Indonesia alone providing basic assistance to the affected population.
Introduction to disaster relief
Several factors are necessary to improve response activities:
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.
Supply chain design and optimization has been covered in this blog to a great extend. The concept of design implicitly assumes that there is at least one designer, who decides how the desired “optimal” supply chain design should look like.
Defining a supply chain as a group of legally independent companies, shows that the complexity in this decision process might be drastically increased, since one has to include multiple players and their goals in the process.
Today I would like to talk about a non-essential, but helpful part of supply chain management: Simulation.
Simulation can be used in a supply chain setting on many different levels. On a strategic level there are models to analyze scenarios for the optimal locations of one’s factory, on a tactical level inventory management and distribution policies are treated and on the operations side route-optimization is a generally used. Of course there are also non-simulation models for these tasks, but this article is not about the pros and cons of that.
