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...
Main Authors: | Schmitt, Amanda J., Singh, Mahender |
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Other Authors: | Massachusetts Institute of Technology. Center for Transportation & Logistics |
Format: | Article |
Language: | en_US |
Published: |
Institute of Electrical and Electronics Engineers
2010
|
Online Access: | http://hdl.handle.net/1721.1/60281 |
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