Abstract
Short term scheduling of multipurpose batch processes has received growing attention over past decades. It concerns the optimal allocation of a set of limited resources to tasks over time in order to enhance the revenue of plants. This paper addresses the short term scheduling of batch processes through a continuous-time mixed integer linear programming (MILP) formulation based on the state-task network (STN) representation that allows to consider multiple intermediate due dates for market requirements. The proposed formulation can be classified as a slot-based approach that views the time horizon as a set of ordered blocks of unknown and variable lengths. Compared to previous similar approaches, it is simpler and leads to a smaller mathematical model without decoupling tasks from units. A few benchmark problems are used to illustrate the computational advantages of the proposed optimization approach.
Original language | English |
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Pages (from-to) | 832-837 |
Journal | IFAC-PapersOnLine |
Volume | 52 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2019 |
MoE publication type | A4 Article in a conference publication |
Event | IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems - Florianopolis, Brazil Duration: 23 Apr 2019 → 26 Apr 2019 Conference number: 12 http://dycopscab2019.sites.ufsc.br/ http://dycopscab2019.sites.ufsc.br/index.html |