Data analytics and simulation methodologies for adaptive supply chain risk management in bio-pharmaceutical manufacturing
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Authors
Zhang, Pu
Issue Date
2018-12
Type
Electronic thesis
Thesis
Thesis
Language
ENG
Keywords
Decision sciences and engineering systems
Alternative Title
Abstract
To assess the system risk performance and study the random behaviors, we develop simulation analytics and output analysis methodologies, and analyze the sensitivity of the system performance to each source of uncertainty. For complex end-to-end bio-pharmaceutical
supply chains, metamodels are constructed as knowledge representation of the system input/output relationship and further employed to predict the system risk behaviors.
Description
December 2018
School of Engineering
School of Engineering
Full Citation
Publisher
Rensselaer Polytechnic Institute, Troy, NY