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Scope for industrial applications of production scheduling models and solution ...
Harjunkoski, Iiro; Maravelias, Christos T.; Bongers, Peter; Castro, Pedro; Engell, Sebastian; Grossmann, Ignacio E.; Hooker, John; Mendez, Carlos A.This paper gives a review on existing scheduling methodologies developed for process industries. Above all, the aim of the paper is to focus on the industrial aspects of scheduling and discuss the main characteristics, including strengths and weaknesses of the presented approaches. It is claimed that optimization tools of today can effectively support the plant level production. However there is still clear pot...
Global optimization of bilinear programs with a multiparametric disaggregation ...
Kolodziej, Scott; Castro, Pedro; Grossmann, Ignacio E.In this paper, we present the derivation of the multiparametric disaggregation technique (MDT) by Teles et al. (J. Glob. Optim., 2011) for solving nonconvex bilinear programs. Both upper and lower bounding formulations corresponding to mixed-integer linear programs are derived using disjunctive programming and exact linearizations, and incorporated into two global optimization algorithms that are used to solve ...
On the computational studies of deterministic global optimization of head depen...
Lima, Ricardo M.; Marcovecchio, Marian G.; Novais, Augusto Q.; Grossmann, Ignacio E.This paper addresses the global optimization of the short term scheduling for hydroelectric power generation. A tailored deterministic global optimization approach, denominated sHBB, is developed and its performance is analyzed. This approach is applied to the optimization of a mixed integer nonlinear programming (MINLP) model for cascades of hydro plants, each one with multiple turbines, and characterized by a...
Rolling-horizon algorithm for scheduling under time-dependent utility pricing a...
Castro, Pedro; Harjunkoski, Iiro; Grossmann, Ignacio E.This work addresses the scheduling of continuous single-stage multiproduct plants with energy intensive processing tasks and time-dependent electricity cost and power supply. A new rolling horizon algorithm is proposed that consists of a planning model to predict the production levels and a continuous-time model for detailed scheduling. The results from a set of test problems from the literature show that the a...
Effective decomposition algorithm for multistage batch plant scheduling
Castro, Pedro; Harjunkoski, Iiro; Grossmann, Ignacio E.This paper presents a new algorithm for the scheduling of batch plants with a large number of orders and sequence-dependent changeovers. Such problems are either intractable or yield poor solutions with full-space approaches. We use decomposition on the entire set of orders and derive the complete schedule in several iterations. The key idea is to allow for partial rescheduling without altering the main decisio...
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