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A decision support tool for the energy efficient selection of process plans
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
2015 (English)In: International Journal of Mechatronics and Manufacturing Systems, ISSN 1753-1039, Vol. 8, no 1-2, 63-83 p.Article in journal (Refereed) Published
Abstract [en]

Energy management has become one of the top priorities in all sectors of the economy originating from both legislative obligations and energy cost. The manufacturing sector accounts for more than 30% of the total energy demand. Industrial practice relies on methods such as energy auditing, energy monitoring and control. However, this approach can be considered as reactive, since the energy requirements for manufacturing a specific part are not considered during the planning of the production. A proactive approach is lacking that would allow the design and planning of the process plan strategy with the energy efficiency of the processes being one of the decision-making criteria. The objective of the present paper is to propose and validate a decision support tool for assessing the energy efficiency of alternative process plans. The decision support is based on energy auditing, life-cycle assessment and TOPSIS method for ranking various alternative process plans. The tool has been validated in a high pressure ceramics casting plant.

Place, publisher, year, edition, pages
InderScience Publishers, 2015. Vol. 8, no 1-2, 63-83 p.
Keyword [en]
Energy efficiency, Multi-criteria decision-making, Process planning, Decision making, Decision support systems, Energy conservation, Energy management, Life cycle, Manufacture, Alternative process plans, Decision making criteria, Decision support tools, Energy requirements, Industrial practices, Life Cycle Assessment (LCA), Manufacturing sector, Multi criteria decision making
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:kth:diva-175079DOI: 10.1504/IJMMS.2015.071663ScopusID: 2-s2.0-84942014607OAI: oai:DiVA.org:kth-175079DiVA: diva2:881911
Note

QC 20151211

Available from: 2015-12-11 Created: 2015-10-09 Last updated: 2015-12-11Bibliographically approved

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Chen, Danfang
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