An Optimization Tool for Production Planning: A Case Study in a Textile Industry

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...

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Main Authors:	Rodrigo Ferro, Gabrielly A. Cordeiro, Robert E. C. Ordóñez, Ghassan Beydoun, Nagesh Shukla
Format:	Article
Language:	English
Published:	MDPI AG 2021-09-01
Series:	Applied Sciences
Subjects:	Discrete Event Simulation genetic algorithm production planning digitalization
Online Access:	https://www.mdpi.com/2076-3417/11/18/8312

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spelling	doaj-faf0a594164d4ffa8b6051d46fe64fe22021-09-25T23:39:08ZengMDPI AGApplied Sciences2076-34172021-09-01118312831210.3390/app11188312An Optimization Tool for Production Planning: A Case Study in a Textile IndustryRodrigo Ferro0Gabrielly A. Cordeiro1Robert E. C. Ordóñez2Ghassan Beydoun3Nagesh Shukla4Department of Manufacturing Engineering and Materials, University of Campinas, Campinas 13083-860, BrazilDepartment of Manufacturing Engineering and Materials, University of Campinas, Campinas 13083-860, BrazilDepartment of Manufacturing Engineering and Materials, University of Campinas, Campinas 13083-860, BrazilSchool of Information, Systems and Modelling, University of Technology Sydney, Sydney 123, AustraliaSchool of Information, Systems and Modelling, University of Technology Sydney, Sydney 123, AustraliaThe 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<sup>®</sup>, to simulate and optimize a production problem by applying genetic algorithms with real production data.https://www.mdpi.com/2076-3417/11/18/8312Discrete Event Simulationgenetic algorithmproduction planningdigitalization
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Rodrigo Ferro Gabrielly A. Cordeiro Robert E. C. Ordóñez Ghassan Beydoun Nagesh Shukla
spellingShingle	Rodrigo Ferro Gabrielly A. Cordeiro Robert E. C. Ordóñez Ghassan Beydoun Nagesh Shukla An Optimization Tool for Production Planning: A Case Study in a Textile Industry Applied Sciences Discrete Event Simulation genetic algorithm production planning digitalization
author_facet	Rodrigo Ferro Gabrielly A. Cordeiro Robert E. C. Ordóñez Ghassan Beydoun Nagesh Shukla
author_sort	Rodrigo Ferro
title	An Optimization Tool for Production Planning: A Case Study in a Textile Industry
title_short	An Optimization Tool for Production Planning: A Case Study in a Textile Industry
title_full	An Optimization Tool for Production Planning: A Case Study in a Textile Industry
title_fullStr	An Optimization Tool for Production Planning: A Case Study in a Textile Industry
title_full_unstemmed	An Optimization Tool for Production Planning: A Case Study in a Textile Industry
title_sort	optimization tool for production planning: a case study in a textile industry
publisher	MDPI AG
series	Applied Sciences
issn	2076-3417
publishDate	2021-09-01
description	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<sup>®</sup>, to simulate and optimize a production problem by applying genetic algorithms with real production data.
topic	Discrete Event Simulation genetic algorithm production planning digitalization
url	https://www.mdpi.com/2076-3417/11/18/8312
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An Optimization Tool for Production Planning: A Case Study in a Textile Industry

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