Journal
CANADIAN JOURNAL OF CHEMICAL ENGINEERING
Volume 100, Issue 9, Pages 2057-2070Publisher
WILEY
DOI: 10.1002/cjce.24501
Keywords
control; integrated decision making; planning; scheduling
Categories
Funding
- Natural Sciences and Engineering Research Council of Canada
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This study reviews the progress made in integrating different decision making levels in chemical plants, highlighting the application of model reduction and decomposition techniques and discussing unresolved issues. Perspectives on emergent areas of application and novel computing solutions are also discussed.
The competitive, profitable, and safe operation of chemical plants depends on tight and effective coordination among the different decision making levels of the enterprise, including planning, scheduling, and control. The optimal integration of these functions has become critical given the disruptive effects of the recent COVID-19 pandemic on the supply chains and the current trends in climate change. However, integrating multiple decision making levels creates modelling and computational challenges. In this study, we review the progress made in the integration of two and three decisions levels using mathematical programming and control theory tools. We highlight the model reduction and decomposition techniques that have been applied, as well as the main issues that remain unsolved. Perspectives on emergent areas of application and novel computing solutions are also discussed.
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