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New frontiers, challenges, and opportunities in integration of design and control for enterprise-wide sustainability
Enterprise-wide sustainability involves aspects from molecular-scale design to macroscale
facilities. Typically, these aspects are treated as independent sub-problems. Maintaining …
facilities. Typically, these aspects are treated as independent sub-problems. Maintaining …
From process control to supply chain management: An overview of integrated decision making strategies
Optimal decision-making in a process industry is fundamental in order to guarantee
optimality of operations and increase profits and performance of a company. Decision …
optimality of operations and increase profits and performance of a company. Decision …
Quantum computing based hybrid solution strategies for large-scale discrete-continuous optimization problems
Quantum computing (QC) has gained popularity due to its unique capabilities that are quite
different from that of classical computers in terms of speed and methods of operations. This …
different from that of classical computers in terms of speed and methods of operations. This …
Data‐driven adaptive nested robust optimization: general modeling framework and efficient computational algorithm for decision making under uncertainty
A novel data‐driven adaptive robust optimization framework that leverages big data in
process industries is proposed. A Bayesian nonparametric model—the Dirichlet process …
process industries is proposed. A Bayesian nonparametric model—the Dirichlet process …
Integration of scheduling and control under uncertainties: Review and challenges
In order to achieve optimal operational conditions, the integration of decision-making across
different layers of a company and the consideration of uncertain parameters in view of …
different layers of a company and the consideration of uncertain parameters in view of …
Process design and control optimization: A simultaneous approach by multi‐parametric programming
We present a framework for the application of design and control optimization via multi‐
parametric programming through four case studies. We develop design dependent multi …
parametric programming through four case studies. We develop design dependent multi …
Model-based integration of control and operations: Overview, challenges, advances, and opportunities
We provide a systematic review of current progress in integrated control and operations.
Recently, an increasing number of integrated methods have been presented in the literature …
Recently, an increasing number of integrated methods have been presented in the literature …
Integration of production scheduling and dynamic optimization for multi-product CSTRs: Generalized Benders decomposition coupled with global mixed-integer …
Integration of production scheduling and dynamic optimization can improve the overall
performance of multi-product CSTRs. However, the integration leads to a mixed-integer …
performance of multi-product CSTRs. However, the integration leads to a mixed-integer …
Discrete time formulation for the integration of scheduling and dynamic optimization
We propose a model-based optimization approach for the integration of production
scheduling and dynamic process operation for general continuous/batch processes. The …
scheduling and dynamic process operation for general continuous/batch processes. The …
A computational framework and solution algorithms for two‐stage adaptive robust scheduling of batch manufacturing processes under uncertainty
A novel two‐stage adaptive robust optimization (ARO) approach to production scheduling of
batch processes under uncertainty is proposed. We first reformulate the deterministic mixed …
batch processes under uncertainty is proposed. We first reformulate the deterministic mixed …