A rolling horizon approach for scheduling of multiproduct batch production and maintenance using generalized disjunctive programming models. (May 2021)

• Record Type: Journal Article
• Authors: Wu, Ouyang; Dalle Ave, Giancarlo; Harjunkoski, Iiro; Imsland, Lars
• Is Part Of: Computers & chemical engineering. Volume 148(2021)
• Publication Date: 2021-05
• Subjects: Maintenance scheduling -- Sequence-dependent degradation -- Performance decay -- Rolling horizon method -- Precedence models; Chemical engineering -- Data processing -- Periodicals; 660.0285
• DOI: 10.1016/j.compchemeng.2021.107268
• Languages: English
• ISSNs: 0098-1354

Abstract

Highlights: A new general disjunctive programming-based formulation is proposed for joint production and maintenance scheduling of a chemical plant. The trade-offs between production and maintenance scheduling are illustrated by considering maintenance in the scheduling with extended horizons. A new rolling horizon method is proposed to find good quality solution to the longer-term scheduling problems. Abstract: This paper considers joint production and maintenance scheduling of a multiproduct batch chemical manufacturing plant. A Generalized Disjunctive Programming-based formulation is proposed for the scheduling problem, integrating additional features inspired by an industrial case study, namely sequence-dependent degradation and limited final product storage tanks. To properly consider maintenance in the context of production scheduling, a long time horizon needs to be considered, resulting in high computational complexity. To this end, a new rolling horizon approach is proposed to find good quality solutions to these scheduling problems with their extended horizons in order to better consider the trade-offs between production and maintenance scheduling. The proposed scheduling formulation and rolling horizon approach are tested using an industrial case study and analyzed with a variety of tuning parameter sets.