A5006815808- Process Optimization and Integration
- Advanced Control Systems Optimization
- Scheduling and Optimization Algorithms
- Fault Detection and Control Systems
- Innovative Microfluidic and Catalytic Techniques Innovation
- Mineral Processing and Grinding
- Advanced Statistical Process Monitoring
- Supply Chain and Inventory Management
- Statistical Methods in Clinical Trials
- Simulation Techniques and Applications
- Crystallization and Solubility Studies
- Injection Molding Process and Properties
- Spectroscopy and Chemometric Analyses
- Sustainable Supply Chain Management
- Manufacturing Process and Optimization
- Advanced Multi-Objective Optimization Algorithms
- Reservoir Engineering and Simulation Methods
- Additive Manufacturing and 3D Printing Technologies
- Integrated Energy Systems Optimization
- Drug Solubulity and Delivery Systems
- 3D Printing in Biomedical Research
- Advanced Optimization Algorithms Research
- Advanced Manufacturing and Logistics Optimization
- Optimal Experimental Design Methods
- Electric Vehicles and Infrastructure
Purdue University West Lafayette
2016-2025
Davidson College
2019-2024
Research Center Pharmaceutical Engineering (Austria)
2010
Advanced Pharma
2005
Abstract With increased product specialization within the chemical‐processing industries, ability to obtain production schedules for complex facilities is at a premium. This article discusses ways of quickly obtaining solutions industrially relevant, large‐scale scheduling problems. A number time‐based decomposition approaches are presented along with their associated strengths and weaknesses. It shown that most promising utilizes reverse rolling window in conjunction disaggregation...
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTDesign of Batch Chemical Plants Under Market UncertaintySriram Subrahmanyam, Joseph F. Pekny, and Gintaras V. ReklaitisCite this: Ind. Eng. Chem. Res. 1994, 33, 11, 2688–2701Publication Date (Print):November 1, 1994Publication History Published online1 May 2002Published inissue 1 November 1994https://pubs.acs.org/doi/10.1021/ie00035a019https://doi.org/10.1021/ie00035a019research-articleACS PublicationsRequest reuse permissionsArticle...
The problem of decision timing in the context batch and continuous process scheduling is addressed this paper. Representation time any model affects number integer variables convexity model. usual procedure to divide interval into equal size intervals so as achieve required accuracy. This construction generates a formulation with potentially very large binary variables. In paper, events arising schedule are modeled directly, thus use over periods during which no real changes system state...