Scheduling of batch digesters according to different control targets and servicing limitations

Hvala, Nadja; Strmĉnik, Stanko; Černetič, Janko

doi:10.1016/0098-1354(93)80059-v

Cited by 10 publications

(3 citation statements)

References 5 publications

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“…Hvala et al proposed a solution procedure based on a heuristic algorithm combining a neighborhood search technique to determine the most suitable digester sequence and linear programming to calculate the batch start and completion times for a set of seven batch digesters. They considered a cyclic repetition of phases and the system consisted of two parallel production lines with shared resource limitations.…”

Section: Literature Review On the Scheduling Of Pulp Plantsmentioning

confidence: 99%

“…Considering a system of processes and storage tanks between them, a method based on a well-known optimization algorithm was proposed relying on a discretetime representation, which was considered the most natural way to describe the problem. Hvala et al 17 proposed a solution procedure based on a heuristic algorithm combining a neighborhood search technique to determine the most suitable digester sequence and linear programming to calculate the batch start and completion times for a set of seven batch digesters. They considered a cyclic repetition of phases and the system consisted of two parallel production lines with shared resource limitations.…”

Section: Literature Review On the Scheduling Of Pulp Plantsmentioning

confidence: 99%

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Cyclic Scheduling of Pulp Digesters with Integrated Heating Tasks

Castro

Rodrigues

Matos³

2014

Ind. Eng. Chem. Res.

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This paper addresses a multistage batch plant scheduling problem under energy constraints. These reflect the limited availability of a thermal heating utility that is shared among parallel digesters of different capacities for the production of pulp. Depending on the processing sequence, more or less steam will be available for a given digester, which will affect the duration of its heating stage and the overall cycle time. Such integrated heating tasks resemble direct heat integration, which has been addressed through models based on generic frameworks for process representation (e.g., State-Task Network, ResourceTask Network, State-Sequence Network) and relying on a single time grid, either discrete or continuous. A new multiple time grid continuous-time model is now proposed where the complex energy constraints are derived from the higher level modeling framework that is Generalized Disjunctive Programming. The results show a considerable better performance compared to RTN discrete and continuous-time formulations, due to a substantially lower integrality gap and model size.

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Section: Literature Review On the Scheduling Of Pulp Plantsmentioning

confidence: 99%

Section: Literature Review On the Scheduling Of Pulp Plantsmentioning

confidence: 99%

Cyclic Scheduling of Pulp Digesters with Integrated Heating Tasks

Castro

Rodrigues

Matos³

2014

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

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“…Another way is to manipulate the process condition in response to uncertainty based on a fixed operating strategy. , An example of this type of manipulation is the adjustment of the operation parameters to use a fixed schedule. However, it cannot be applied generally, because there is not much room for modification in actual complex processes.…”

Section: Introductionmentioning

confidence: 99%

Proactive Scheduling under Uncertainty: A Parametric Optimization Approach

Ryu

Dua

Pistikopoulos

2007

Ind. Eng. Chem. Res.

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This paper presents a novel methodology using parametric programming techniques to solve scheduling problems under uncertainty. The uncertainty present in processing times and equipment availabilities is incorporated into scheduling models, which are then transformed to multiparametric mixed-integer linear programming (mp-MILP) problems. A solution procedure that is based on recently proposed state-of-the-art mp-MILP algorithms is then discussed. A key advantage of the proposed methodology is that the complete map of optimal schedules can be obtained as a function of various parameters; rescheduling can thus be performed via simple function evaluations without any further optimization. Therefore, the proposed methodology contributes to the construction of a proactive scheduling system. Numerical examples are presented to illustrate the potential of the proposed methodology.

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A process-variability-based online scheduling system in multiproduct batch process

Ishii

Muraki

1996

Computers & Chemical Engineering

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Scheduling of batch digesters according to different control targets and servicing limitations

Cited by 10 publications

References 5 publications

Cyclic Scheduling of Pulp Digesters with Integrated Heating Tasks

Cyclic Scheduling of Pulp Digesters with Integrated Heating Tasks

Proactive Scheduling under Uncertainty: A Parametric Optimization Approach

A process-variability-based online scheduling system in multiproduct batch process

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