November 27, 2017 article Open access An efficient MILP framework for integrating nonlinear process dynamics and control in optimal production scheduling calculations Computers & Chemical Engineering DOI: 10.1016/j.compchemeng.2017.11.021 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 45 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Dynamic Scheduling: A Comparison of High-Fidelity Models with Local Optimization versus Surrogate Models with Global Optimization 2025 Industrial & Engineering Chemistry Research article Engineering Process Optimization and Integration Open access 1 citations Globally optimal scheduling of an electrochemical process via data-driven dynamic modeling and wavelet-based adaptive grid refinement 2023 Optimization and Engineering article Engineering Advanced Control Systems Optimization Open access 4 citations Demand response for flat nonlinear MIMO processes using dynamic ramping constraints 2023 Computers & Chemical Engineering article Engineering Process Optimization and Integration Open access 8 citations Simultaneous mixed‐integer dynamic scheduling of processes and their energy systems 2022 AIChE Journal article Engineering Process Optimization and Integration Open access 12 citations 4 results References 0