IJIMT 2012 Vol.3(3): 267-271 ISSN: 2010-0248
DOI: 10.7763/IJIMT.2012.V3.236

Selection of Most Informative Components in Risk Mitigation Analysis of Supply Networks: An Information-Gain Approach

Avi Herbon, Eugene Levner, Sharon Hovav, and Lin Shaopei

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.

Index Terms—Risk analysis, supply networks, most informative components, information gain, entropy .

Avi Herbon and Sharon Hovav are with the Department of Management, Bar Ilan University, Ramat Gan, Israel (e-mail:avher@bezeqint.net; sharonh@clalit.org.il).

Eugene Levner is with the School of Economics, Ashkelon Academic College, Ashkelon Israel (e-mail:levner@hit.ac.il)

Lin Shaopei is with the Shanghai Jiao Tong University, School of Mechanical Engineering Shanghai, China (e-mail:splin@sjtu.edu.cn).

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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.

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