Overview
- Nominated as an outstanding Ph.D. thesis by the University College London, United Kingdom
- Presents key theoretical and computing advances for multi-parametric optimisation problems under global uncertainty, and includes numerous examples to intuitively illustrate them
- Provides novel systematic frameworks for integrating production planning, scheduling, and advanced process control under uncertainty
- Develops a unified framework for decision-making under uncertainty, covering applications in process systems engineering, operations research, and control engineering
Part of the book series: Springer Theses (Springer Theses)
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About this book
The book presents a theoretically proven optimal solution to multi-parametric linear and mixed-integer linear programs and efficient solutions to problems such as process scheduling and design under global uncertainty. It also proposes a systematic framework for the uncertainty-aware integration of planning, scheduling and control, based on the judicious coupling of reactive and proactive methods.
Using these developments, the book demonstrates how the integration of different decision-making layers and their simultaneous optimisation can enhance industrial process operations and their economic resilience in the face of uncertainty.
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Keywords
Table of contents (8 chapters)
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Theoretical and Algorithmic Advances in Multi-parametric Programming Problems Under Global Uncertainty
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Uncertainty-Aware Integration of Planning, Scheduling and Control
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Uncertainty-aware Integration of Control with Process Operations and Multi-parametric Programming Under Global Uncertainty
Authors: Vassilis M. Charitopoulos
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-030-38137-0
Publisher: Springer Cham
eBook Packages: Chemistry and Materials Science, Chemistry and Material Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-38136-3Published: 05 February 2020
Softcover ISBN: 978-3-030-38139-4Published: 05 February 2021
eBook ISBN: 978-3-030-38137-0Published: 05 February 2020
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XXXIII, 266
Number of Illustrations: 12 b/w illustrations, 69 illustrations in colour
Topics: Industrial Chemistry/Chemical Engineering, Computational Mathematics and Numerical Analysis, Industrial and Production Engineering, Operating Systems