Modeling Disruption Risk in Supply Chain Risk Management

Author:

Bilsel Ragip Ufuk1,Ravindran A. Ravi2

Affiliation:

1. The Boston Consulting Group, Turkey

2. Penn State University, USA

Abstract

Disruptions have often been ignored in supply chain models due to their infrequency; however, there is evidence that disruptions are among the most significant threats to supply chains. This paper presents analytical methods to model and quantify disruption risks. The methods consist of breaking disruption risks down into four components: impact, occurrence, detectability and recovery. Analytical frameworks to quantify each individual component is provided. Methods to combine the individual components of risk are discussed and illustrated with numerical examples.

Publisher

IGI Global

Subject

Information Systems and Management,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems,Management Information Systems

Reference24 articles.

1. Bilsel, R. U. (2009). Disruption and operational risk quantification models for outsourcing operations (Unpublished doctoral dissertation). Pennsylvania State University, State College, PA.

2. On the Occurence of Extreme Events in Long-term Correlated and Multifractal Data Sets

3. Information sharing and supply chain performance: the role of connectivity and willingness

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