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Uncertainty-aware Integration of Control with Process Operations and Multi-parametric Programming Under Global Uncertainty
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Uncertainty-aware Integration of Control with Process Operations and Multi-parametric Programming Under Global Uncertainty

2020 ed.

Book Details

Format Paperback / Softback
Book Series Springer Theses
ISBN-10 3030381390
ISBN-13 9783030381394
Edition 2020 ed.
Publisher Springer Nature Switzerland AG
Imprint Springer Nature Switzerland AG
Country of Manufacture GB
Country of Publication GB
Publication Date Feb 5th, 2021
Print length 266 Pages
Ksh 16,200.00
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This book introduces models and methodologies that can be employed towards making the Industry 4.0 vision a reality within the process industries, and at the same time investigates the impact of uncertainties in such highly integrated settings.
This book introduces models and methodologies that can be employed towards making the Industry 4.0 vision a reality within the process industries, and at the same time investigates the impact of uncertainties in such highly integrated settings. Advances in computing power along with the widespread availability of data have led process industries to consider a new paradigm for automated and more efficient operations.
 
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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