An optimization tool for production planning: A case study in a textile industry

Ferro, R; Cordeiro, GA; Ordóñez, REC; Beydoun, G; Shukla, N

An optimization tool for production planning: A case study in a textile industry

Ferro, R Cordeiro, GA Ordóñez, REC Beydoun, G

Shukla, N

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: Applied Sciences (Switzerland), 2021, 11, (18)
Issue Date:: 2021-09-01

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Field	Value	Language
dc.contributor.author	Ferro, R
dc.contributor.author	Cordeiro, GA
dc.contributor.author	Ordóñez, REC
dc.contributor.author	Beydoun, G https://orcid.org/0000-0001-8087-5445
dc.contributor.author	Shukla, N https://orcid.org/0000-0002-8421-3972
dc.date.accessioned	2022-03-12T02:08:30Z
dc.date.available	2022-03-12T02:08:30Z
dc.date.issued	2021-09-01
dc.identifier.citation	Applied Sciences (Switzerland), 2021, 11, (18)
dc.identifier.issn	1454-5101
dc.identifier.issn	2076-3417
dc.identifier.uri	http://hdl.handle.net/10453/155160
dc.description.abstract	The textile industry is an important sector of the Brazilian economy, being considered the fifth largest textile industry in the world. To support further growth and development in this sector, this document proposes a process for production analysis through the use of Discrete Event Simulation (DES) and optimization through genetic algorithms. The focus is on production planning for weaving processes and optimization to help make decisions about batch sizing and production scheduling activities. In addition, the correlations between some current technological trends and their implications for the textile industry are also highlighted. Another important contribution of this study is to detail the use of the commercial software Tecnomatix Plant Simulation 13®, to simulate and optimize a production problem by applying genetic algorithms with real production data.
dc.language	English
dc.publisher	MDPI
dc.relation	NSW Department of Primary Industries
dc.relation.ispartof	Applied Sciences (Switzerland)
dc.relation.isbasedon	10.3390/app11188312
dc.rights	info:eu-repo/semantics/openAccess
dc.title	An optimization tool for production planning: A case study in a textile industry
dc.type	Journal Article
utslib.citation.volume	11
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 Professional Practice and Leadership
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
pubs.organisational-group	/University of Technology Sydney/Strength - PERSWADE - Centre on Persuasive Systems for Wise Adaptive Living
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
dc.date.updated	2022-03-12T02:08:28Z
pubs.issue	18
pubs.publication-status	Published
pubs.volume	11
utslib.citation.issue	18

Abstract:

The textile industry is an important sector of the Brazilian economy, being considered the fifth largest textile industry in the world. To support further growth and development in this sector, this document proposes a process for production analysis through the use of Discrete Event Simulation (DES) and optimization through genetic algorithms. The focus is on production planning for weaving processes and optimization to help make decisions about batch sizing and production scheduling activities. In addition, the correlations between some current technological trends and their implications for the textile industry are also highlighted. Another important contribution of this study is to detail the use of the commercial software Tecnomatix Plant Simulation 13®, to simulate and optimize a production problem by applying genetic algorithms with real production data.

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http://hdl.handle.net/10453/155160