Uncertainty-aware Integration of Control with Process Operations and Multi-parametric Programming Under Global Uncertainty (Paperback, 1st ed. 2020)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Springer Theses
Release date:	February 2021
First published:	2020
Authors:	Vassilis M. Charitopoulos
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	266
Edition:	1st ed. 2020
ISBN-13:	978-3-03-038139-4
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Industrial chemistry > General Books > Professional & Technical > Mechanical engineering & materials > Production engineering > General Books > Computing & IT > Computer hardware & operating systems > Operating systems & graphical user interfaces (GUIs) > General
LSN:	3-03-038139-0
Barcode:	9783030381394

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