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Title: | An Integrated approach to energy efficiency in automotive manufacturing systems: quantitative analysis and optimisatio |
Authors: | Katchasuwanmanee, K Bateman, R Cheng, K |
Keywords: | Energy efficiency;manufacturing systems;simulation |
Issue Date: | 2-Jun-2017 |
Citation: | Katchasuwanmanee, K., Bateman, R. and Cheng, K. (2017) 'An Integrated approach to energy efficiency in automotive manufacturing systems: quantitative analysis and optimisatio', Production & Manufacturing Research, 5 (1), pp. 90 - 98 (9). doi: 10.1080/21693277.2017.1322539. |
Abstract: | Copyright © 2017 The Author(s). Automotive manufacturing industries are facing new challenges in the multi-faceted context of economy, technology and environment. Increasing energy prices and environmental issues mean that energy is now one of major costs in automotive manufacturing industries and also responsible for a significant proportion of Green House Gas emissions. The development of energy efficient techniques in automotive manufacturing operations is crucial to reduce energy consumption, Green House Gas emissions and also production costs. This paper presents a simulation-based methodology and the associated software development for the modelling of thermal and energy management across the automotive manufacturing plant and its application to the effective energy management of the manufacturing systems on shopfloor through an energy smart production management (e-ProMan). After current laboratory/workshop trials, the system will undergo validation trials at a number of manufacturing SMEs. |
URI: | https://bura.brunel.ac.uk/handle/2438/14735 |
Other Identifiers: | ORCID ID: Richarad Bateman https://orcid.org/0000-0001-8691-8207 ORCID iD: Kai Cheng https://orcid.org/0000-0001-6872-9736 |
Appears in Collections: | Dept of Mechanical and Aerospace Engineering Research Papers |
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FullText.pdf | Copyright © 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | 1.58 MB | Adobe PDF | View/Open |
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