Data analytics and simulation methodologies for adaptive supply chain risk management in bio-pharmaceutical manufacturing

Authors
Zhang, Pu
ORCID
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Other Contributors
Xie, Wei
Pequito, Sérgio
Zhang, Qiong
Mitchell, John E.
Issue Date
2018-12
Keywords
Decision sciences and engineering systems
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
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
Department
Dept. of Industrial and Systems Engineering
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
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