research-article

Manufacturing unit process life cycle inventories (Uplci)

Authors:

Michael Overcash,

Janet Twomey,

Jackie IsaacsAuthors Info & Claims

PerMIS '09: Proceedings of the 9th Workshop on Performance Metrics for Intelligent Systems

Pages 30 - 31

https://doi.org/10.1145/1865909.1865916

Published: 21 September 2009 Publication History

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Abstract

Tools to make environmentally informed product decisions at the design stage have long been an identified need of the manufacturing community. Potential solutions to address this need have been one of the topics of a series of National Science Foundation funded international workshops in the area of environmentally benign design and manufacture (EBDM). This paper reports one outcome of those workshops and the progress toward the development of a new approach to use manufacturing unit processes as the basis for evaluating environmental impacts at the manufacturing phase of a product's life cycle. The research presented here is funded through a Department of Energy award DOE DE-FG36-08GO88149.

Reference

[1]

Overcash, M., Twomey, J. and Kalla, D. (2009). ASME International Manufacturing Science and Engineering Conference October 4--7, 2009, West Lafayette, IN, USA

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Zhang HZhao F(2018)Reusable unit process life cycle inventory for manufacturing: gas metal arc weldingProduction Engineering10.1007/s11740-018-0869-113:1(89-97)Online publication date: 19-Dec-2018
https://doi.org/10.1007/s11740-018-0869-1
Ciancio CVarrese CAmbrogio GFilice LMusmanno R(2014)A Multi-Objective Optimization of a Porthole Die Extrusion for Quality and Sustainability IssuesKey Engineering Materials10.4028/www.scientific.net/KEM.622-623.79622-623(79-86)Online publication date: Sep-2014
https://doi.org/10.4028/www.scientific.net/KEM.622-623.79
Kellens KRodrigues GDewulf WDuflou J(2014)Energy and Resource Efficiency of Laser Cutting ProcessesPhysics Procedia10.1016/j.phpro.2014.08.10456(854-864)Online publication date: 2014
https://doi.org/10.1016/j.phpro.2014.08.104
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Information & Contributors

Information

Published In

PerMIS '09: Proceedings of the 9th Workshop on Performance Metrics for Intelligent Systems

September 2009

322 pages

ISBN:9781605587479

DOI:10.1145/1865909

General Chair:
Raj Madhavan
Oak Ridge National Laboratory/NIST
,
Program Chair:
Elena Messina
Intelligent Systems Division, NIST

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGAI: ACM Special Interest Group on Artificial Intelligence

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 September 2009

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Funding Sources

U.S. Department of Energy

Conference

PerMIS '09

Sponsor:

NIST

PerMIS '09: Performance Metrics for Intelligent Systems

September 21 - 23, 2009

Maryland, Gaithersburg

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Cited By

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Zhang HZhao F(2018)Reusable unit process life cycle inventory for manufacturing: gas metal arc weldingProduction Engineering10.1007/s11740-018-0869-113:1(89-97)Online publication date: 19-Dec-2018
https://doi.org/10.1007/s11740-018-0869-1
Ciancio CVarrese CAmbrogio GFilice LMusmanno R(2014)A Multi-Objective Optimization of a Porthole Die Extrusion for Quality and Sustainability IssuesKey Engineering Materials10.4028/www.scientific.net/KEM.622-623.79622-623(79-86)Online publication date: Sep-2014
https://doi.org/10.4028/www.scientific.net/KEM.622-623.79
Kellens KRodrigues GDewulf WDuflou J(2014)Energy and Resource Efficiency of Laser Cutting ProcessesPhysics Procedia10.1016/j.phpro.2014.08.10456(854-864)Online publication date: 2014
https://doi.org/10.1016/j.phpro.2014.08.104
Kumaraguru SRachuri SLechevalier D(2014)Faceted classification of manufacturing processes for sustainability performance evaluationThe International Journal of Advanced Manufacturing Technology10.1007/s00170-014-6184-x75:9-12(1309-1320)Online publication date: 17-Aug-2014
https://doi.org/10.1007/s00170-014-6184-x
Kellens KDewulf WLauwers BKruth JDuflou J(2013)Environmental Impact Reduction in Discrete Manufacturing: Examples for Non-Conventional ProcessesProcedia CIRP10.1016/j.procir.2013.03.0036(27-34)Online publication date: 2013
https://doi.org/10.1016/j.procir.2013.03.003
Wang PTamilselvan PTwomey JYoun B(2013)Prognosis-informed wind farm operation and maintenance for concurrent economic and environmental benefitsInternational Journal of Precision Engineering and Manufacturing10.1007/s12541-013-0141-814:6(1049-1056)Online publication date: 19-Jun-2013
https://doi.org/10.1007/s12541-013-0141-8
Tamilselvan PWang PJayaraman R(2012)Health diagnostics with unexampled faulty states using a two-fold classification method2012 IEEE Conference on Prognostics and Health Management10.1109/ICPHM.2012.6299540(1-11)Online publication date: Jun-2012
https://doi.org/10.1109/ICPHM.2012.6299540
Tamilselvan PWang YWang P(2012)Optimization of wind turbines operation and maintenance using failure prognosis2012 IEEE Conference on Prognostics and Health Management10.1109/ICPHM.2012.6299538(1-9)Online publication date: Jun-2012
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Overcash MBawaneh KTwomey J(2012)Estimating nonprocess energy from building energy consumptionEnergy Efficiency10.1007/s12053-012-9165-76:1(21-33)Online publication date: 15-Aug-2012
https://doi.org/10.1007/s12053-012-9165-7

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