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We propose a modeling approach based on belief networks to capture and understand the systemic nature of risks affecting supply networks. By aligning the purpose of a model with the nature of supply management decisions, we provide a mechanism for identifying relevant supply risks so that we can visualize inter-dependencies between risks and predict their effects on supply performance. By using a...
This paper presents a work in progress simulation and a novel model for estimating the impact of cyber attacks. Previous methods so far, have taken the old - fashioned "intuition" approach - a qualitative or quantitative risk based analysis on the business level. More recent technical approaches involve simulations on networks of systems and sensor input from 3rd party detection tools of...
In this paper we examine the interdependencies and common points of failure (and attack) that plague commonly-used system and network hardware and software. The proposed approach requires not only generating inventories of acquiring organizations' equipment and software products, and clear and detailed descriptions of every link in the supply chain, but also the identification of common components...
Supply chain, as an effective mode participating in the intense business competition, has been accepted by scores of enterprises, but there still exists great risks in supply chain, because of the characteristics of its special chain structure. This paper investigates the sources of supply chain risk, and the factors of supply chain risk assessment. Based on this, a fuzzy assessment model used to...
Nowadays, organizations and supply chains have to deal with a number of disturbances. The pressures to grow revenues, to take advantage of new technologies, to reduce costs, and to improve working capital and streamline operational procedures, pushed many organizations to establish strategies which increase risk exposure. As a result, companies can loose the ability to act quickly and effectively...
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