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2023 | OriginalPaper | Chapter

5. Simulation of Supply Chain Risk

Authors : David L. Olson, Desheng Wu

Published in: Enterprise Risk Management Models

Publisher: Springer Berlin Heidelberg

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Abstract

Many supply chain problem analyses involve uncertainty in the form of statistically measured distributions. Monte Carlo simulation is a highly useful tool to analyze statistical distributions and to model many supply chain decisions involving risk. Inventory management and vendor selection decisions are demonstrated using Crystal Ball software.

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Metadata
Title
Simulation of Supply Chain Risk
Authors
David L. Olson
Desheng Wu
Copyright Year
2023
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-662-68038-4_5