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- W4286564652 abstract "The batch process plays an important role in various fields of industrial production. Among them, the production processes that have specific requirements for operational continuity in each processing stage such as metallurgical, steelmaking, and pharmaceutical, should consider the no-wait constraints to meet the production reality. The batch process with no-wait constraints is a typical NP-hard problem. A new decomposition method with an improved genetic algorithm was proposed to solve the integration problem for the no-wait batch process. The integrated formulation represents a typical mixed-logic dynamic optimization (MLDO) problem which invokes logical disjunctions and operational dynamics. To solve such an MLDO problem, we transform it into a mixed-integer nonlinear program (MINLP) using the Big M reformulation and the simultaneous collocation method. Considering the structure and characteristics of the no-wait problem, an improved algorithm based on the previous GA-GBD algorithm is proposed. By collaboratively optimizing the process scheduling and dynamics, the proposed method substantially improves the overall economic performance of the batch production. At last, specific production instances are tested to demonstrate the feasibility and superiority of the proposed integration model of the no-wait batch process and optimization algorithm." @default.
- W4286564652 created "2022-07-22" @default.
- W4286564652 creator A5032565168 @default.
- W4286564652 creator A5061728552 @default.
- W4286564652 date "2022-10-01" @default.
- W4286564652 modified "2023-10-09" @default.
- W4286564652 title "Integration of scheduling and control for the no-wait batch process: A decomposition method" @default.
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- W4286564652 doi "https://doi.org/10.1016/j.ces.2022.117939" @default.
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