doi: 10.7763/IJIMT.2012.V3.236
Selection of Most Informative Components in Risk Mitigation Analysis of Supply Networks: An Information-Gain Approach
Avi Herbon1
,
Eugene Levner2 ,
Sharon Hovav1 ,
Lin Shaopei3
- 1Department of Management, Bar Ilan University, Ramat Gan, Israel.
- 2School of Economics, Ashkelon Academic College, Ashkelon Israel
- 3Shanghai Jiao Tong University, School of Mechanical Engineering Shanghai, China.
Abstract
The concept of a supply network generalizes supply chains, web, multi-media communication networks, and complex technological projects. A problem investigated in this paper is to minimize the economic loss caused by failures and other undesired events in the network. This is done in two steps: first, we find most informative network components and, then,select the optimal set of risk-preventing activities.
Keywords
- Risk analysis
- supply networks
- most informative components
- information gain
- entropy
How to Cite
Avi Herbon, Eugene Levner, Sharon Hovav, and Lin Shaopei, "Selection of Most Informative Components in Risk Mitigation Analysis of Supply Networks: An Information-Gain Approach," International Journal of Innovation, Management and Technology, vol. 3, no. 3, pp. 267-271, 2012. https://doi.org/10.7763/IJIMT.2012.V3.236
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).