Quantifying supply chain disruption risk using Monte Carlo and discrete-event simulation

We present a model constructed for a large consumer products company to assess their vulnerability to disruption risk and quantify its impact on customer service. Risk profiles for the locations and connections in the supply chain are developed using Monte Carlo simulation, and the flow of material...

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Bibliographic Details
Main Authors: Schmitt, Amanda J. (Contributor), Singh, Mahender (Contributor)
Other Authors: Massachusetts Institute of Technology. Center for Transportation & Logistics (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2010-12-13T16:05:35Z.
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