Giancarlo Dalle Ave

Energy- and Equipment-Condition-Aware Online Scheduling Methods for the Process Industries


Front	Back

ISBN:

978-3-8440-8254-8

Series:

Schriftenreihe des Lehrstuhls für Systemdynamik und Prozessführung
Herausgeber: Prof. Dr.-Ing. Sebastian Engell
Dortmund

Volume:

2022,2

Keywords:

Optimization; Scheduling; Demand Side Management

Type of publication:

Thesis

Language:

English

Pages:

208 pages

Figures:

69 figures

Weight:

309 g

Format:

21 x 14,8 cm

Bindung:

Paperback

Price:

49,80 € / 62,30 SFr

Published:

June 2022 - 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.