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49,80 €ISBN 978-3-8440-8254-8Softcover208 pages69 figures309 g21 x 14,8 cmEnglishThesis
June 2022
Giancarlo Dalle Ave
Energy- and Equipment-Condition-Aware Online Scheduling Methods for the Process Industries
This work investigates aspects of online scheduling with an emphasis placed on industrial requirements. Two areas that are becoming increasingly important in industry are energy management (via demand side management) and condition-based maintenance. This work investigates the challenges of online production scheduling considering both of these production concerns. This work builds upon the Resource Task Network (RTN) scheduling framework (Pantelides, 1994) as it is easily adaptable to the ISA-95 industrial production scheduling standard (ANSI/ISA-95.00.03-2005, 2005). Results show that the proposed algorithms and models can address shortcomings of current methods and represent a step forward in online scheduling.
Keywords: Optimization; Scheduling; Demand Side Management
Schriftenreihe des Lehrstuhls für Systemdynamik und Prozessführung
Edited by Prof. Dr.-Ing. Sebastian Engell, Dortmund
Volume 2022,2
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