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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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/18/8312 |
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| author | Rodrigo Ferro Gabrielly A. Cordeiro Robert E. C. Ordóñez Ghassan Beydoun Nagesh Shukla |
| author_facet | Rodrigo Ferro Gabrielly A. Cordeiro Robert E. C. Ordóñez Ghassan Beydoun Nagesh Shukla |
| author_sort | Rodrigo Ferro |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T07:56:38Z |
| format | Article |
| id | doaj.art-faf0a594164d4ffa8b6051d46fe64fe2 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T07:56:38Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-faf0a594164d4ffa8b6051d46fe64fe22023-11-22T11:50:43ZengMDPI AGApplied Sciences2076-34172021-09-011118831210.3390/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 |
| 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 |
| title | 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_short | 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 |
| topic | Discrete Event Simulation genetic algorithm production planning digitalization |
| url | https://www.mdpi.com/2076-3417/11/18/8312 |
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