Online Scheduling of Multiproduct Batch Plants under Uncertainty

Sebastian Engell, Andreas Märkert, Guido Sand, Rüdiger Schultz and Christian Schulz
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Sebastian Engell: Universität Dortmund, Fachbereich Chemietechnik
Andreas Märkert: Gerhardt-Mercator-Universität Duisburg, Fachbereich Mathematik
Guido Sand: Universität Dortmund, Fachbereich Chemietechnik
Rüdiger Schultz: Gerhardt-Mercator-Universität Duisburg, Fachbereich Mathematik
Christian Schulz: Process Systems Enterprise Ltd.

A chapter in Online Optimization of Large Scale Systems, 2001, pp 649-676 from Springer

Abstract: Abstract In this contribution, we propose a telescopic decomposition approach for solving scheduling problems from the chemical processing industries online. The general concept is realized for a real-world benchmark process by a two-level algorithm, which comprises a planning step with explicit consideration of uncertainties and a scheduling step where nonlinearities are include in the model. Both steps constitute optimization problems, which are modeled and solved by mathematical programming techniques. Besides conceptual considerations concerning online scheduling, we present the two mathematical models and their problem specific solution algorithms with some numerical results.

Keywords: Schedule Problem; Master Problem; Schedule Decision; Online Schedule; Finish Line (search for similar items in EconPapers)
Date: 2001
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-04331-8_32

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DOI: 10.1007/978-3-662-04331-8_32

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