Abstract
Existing approaches for representing chemical production scheduling problems are problem-class-specific and are limited in terms of the characteristics, constraints, and data that they can represent. Accordingly, we propose a novel representation that allows one to express problems in multiple production environments, with various characteristics (e.g., transient operations) and under different constraints (e.g., storage policies), as well as provide ways to represent important additional information, including utility usage, processing rate ranges, and associated costs.
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