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

Beschreibung

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.

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.

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

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Vassilis M. Charitopoulos

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Enterprise Wide Optimisation Industry 4.0 Integrated Process Scheduling and Control Optimisation Under Uncertainty Multi-parametric Programming

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