A study of influential factors in designing self-reconfigurable robots for green manufacturing

Fahmideh, M; Lammers, T

A study of influential factors in designing self-reconfigurable robots for green manufacturing

Fahmideh, M Lammers, T

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Publication Type:: Conference Proceeding
Citation:: ACIS 2018 - 29th Australasian Conference on Information Systems, 2018
Issue Date:: 2018-01-01

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Field	Value	Language
dc.contributor.author	Fahmideh, M	en_US
dc.contributor.author	Lammers, T https://orcid.org/0000-0003-1000-2395	en_US
dc.date.issued	2018-01-01	en_US
dc.identifier.citation	ACIS 2018 - 29th Australasian Conference on Information Systems, 2018	en_US
dc.identifier.uri	http://hdl.handle.net/10453/129783
dc.description.abstract	© 2018 ACIS2018.org. All rights reserved. There is incremental growth in adopting self-reconfigurable robots in automating manufacturing conventional product lines. Using this class of robots adapting themselves with ever-changing environmental conditions has been acclaimed as a promising way of reducing energy consumption and environmental impact and thus enabling green manufacturing. Whilst the majority of existing research focuses on highlighting the efficacy of self-reconfigurable robots in energy reduction with technical driven solutions, the research on exploring the salient factors in design and development self-reconfigurable robots that directly enable or hinder green manufacturing is non-extant. This interdisciplinary research contributes to the nascent body of the knowledge by empirical investigation of design-time, run-time, and hardware aspects which should be contingently balanced when developing green-aware self-reconfigurable robots.	en_US
dc.relation.ispartof	ACIS 2018 - 29th Australasian Conference on Information Systems	en_US
dc.title	A study of influential factors in designing self-reconfigurable robots for green manufacturing	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

© 2018 ACIS2018.org. All rights reserved. There is incremental growth in adopting self-reconfigurable robots in automating manufacturing conventional product lines. Using this class of robots adapting themselves with ever-changing environmental conditions has been acclaimed as a promising way of reducing energy consumption and environmental impact and thus enabling green manufacturing. Whilst the majority of existing research focuses on highlighting the efficacy of self-reconfigurable robots in energy reduction with technical driven solutions, the research on exploring the salient factors in design and development self-reconfigurable robots that directly enable or hinder green manufacturing is non-extant. This interdisciplinary research contributes to the nascent body of the knowledge by empirical investigation of design-time, run-time, and hardware aspects which should be contingently balanced when developing green-aware self-reconfigurable robots.

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http://hdl.handle.net/10453/129783