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Model-based energy consumption optimisation in manufacturing system and machine control

Model-based energy consumption optimisation in manufacturing system and machine control Resource and energy efficiency have recently come to the attention of production engineers. For optimisation, the energy consumption of various production machines needs to be predicted and integrated into models of complex manufacturing systems. These models and model-based energy consumption optimisation strategies are introduced taking into account time, quality and cost and provide for an absolute reduction of the amount of energy consumed. To maximise operational flexibility while optimising energy consumption the focus lies on methods that optimise the controllable machine and plant parameters in a situation-oriented manner. The paper is concluded with guidelines to apply the techniques in industry. (Received 7 March 2010; Revised 10 July 2010; Accepted 14 November 2010) http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Manufacturing Research Inderscience Publishers

Model-based energy consumption optimisation in manufacturing system and machine control

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References (8)

Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1750-0591
eISSN
1750-0605
DOI
10.1504/IJMR.2011.043238
Publisher site
See Article on Publisher Site

Abstract

Resource and energy efficiency have recently come to the attention of production engineers. For optimisation, the energy consumption of various production machines needs to be predicted and integrated into models of complex manufacturing systems. These models and model-based energy consumption optimisation strategies are introduced taking into account time, quality and cost and provide for an absolute reduction of the amount of energy consumed. To maximise operational flexibility while optimising energy consumption the focus lies on methods that optimise the controllable machine and plant parameters in a situation-oriented manner. The paper is concluded with guidelines to apply the techniques in industry. (Received 7 March 2010; Revised 10 July 2010; Accepted 14 November 2010)

Journal

International Journal of Manufacturing ResearchInderscience Publishers

Published: Jan 1, 2011

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