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In this paper, we address the short-term scheduling of multipurpose batch plants, a challenging problem that has received growing attention in the past few years. We present a new mixed integer linear programming (MILP) framework based on the state-task network (STN), which employs a multi-grid continuous-time approach. Compared to other formulations in the literature, the proposed model leads to smaller and simpler mathematical models with strong LP-relaxations, which is reflected in the ability to find the optimal solutions in shorter CPU times. We demonstrate the performance of our model with a complex and comprehensive case study from the literature.
|Title of host publication||Computer Aided Chemical Engineering|
|ISBN (Electronic)||978-0-12-819939-8, 978-0-12-818634-3|
|Publication status||Published - 2019|
|MoE publication type||A3 Part of a book or another research book|
|Name||Computer Aided Chemical Engineering|
Mostafaei, H., & Harjunkoski, I. (2019). An MILP Approach for Short-term Scheduling of Batch Operations. In Computer Aided Chemical Engineering (pp. 649-654). (Computer Aided Chemical Engineering ; Vol. 46). Elsevier. https://doi.org/10.1016/B978-0-12-818634-3.50109-0