Catalogue : Details
 | Giancarlo Dalle AveEnergy- and Equipment-Condition-Aware Online Scheduling Methods for the Process Industries | ||||
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| ISBN: | 978-3-8440-8254-8 | ||||
| Series: | Schriftenreihe des Lehrstuhls für Systemdynamik und Prozessführung Herausgeber: Prof. Dr.-Ing. Sebastian Engell Dortmund | ||||
| Volume: | 2021,4 | ||||
| Keywords: | Optimization; Scheduling; Demand Side Management | ||||
| Type of publication: | Thesis | ||||
| Language: | English | ||||
| Pages: | 212 pages | ||||
| Figures: | 69 figures | ||||
| Weight: | 315 g | ||||
| Format: | 21 x 14,8 cm | ||||
| Bindung: | Paperback | ||||
| Price: | 49,80 € / 62,30 SFr | ||||
| Published: | October 2021 - in preparation | ||||
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| Abstract | 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. |
