Lab Scale Implementation of Industry 4.0 for an Automatic Yogurt Filling Production System—Experimentation, Modeling and Process Optimization

Currently, Industry 4.0 is word of mouth, and its implementation has gained increased attention from industrial and academic researchers, entrepreneurs, and service providers all over the world. With Industry 4.0, the integration of facilities and products enables real-time data exchange, and the ov...

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Autores principales: Bashir Salah, Razaullah Khan, Muawia Ramadan, Rafiq Ahmad, Waqas Saleem
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Lenguaje:EN
Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:28ab701ab67047449d9a44ef586b32762021-11-11T14:58:05ZLab Scale Implementation of Industry 4.0 for an Automatic Yogurt Filling Production System—Experimentation, Modeling and Process Optimization10.3390/app112198212076-3417https://doaj.org/article/28ab701ab67047449d9a44ef586b32762021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/9821https://doaj.org/toc/2076-3417Currently, Industry 4.0 is word of mouth, and its implementation has gained increased attention from industrial and academic researchers, entrepreneurs, and service providers all over the world. With Industry 4.0, the integration of facilities and products enables real-time data exchange, and the overall production system becomes self-reliant and intelligent to predict and maintain its operational performance. In this research, the lab-scale implementation of Industry 4.0 is implemented for an automatic yogurt filling production system. A mathematical model for the process optimization of Industry 4.0 was also developed. A real-life problem was solved optimally using linear programming techniques with the objective of maximizing the speed of the conveyor belt. Moreover, the sequencing of processing orders using single-dimensional rules was performed. The effects of changes in the feed rate of the yogurt valve and length of the conveyor belt on the feed rate of the flavor valve, speed of conveyor belt, waiting time, processing times, and the different performance measures were investigated at the end.Bashir SalahRazaullah KhanMuawia RamadanRafiq AhmadWaqas SaleemMDPI AGarticleyogurt filling machinemathematical modellingindustry 4.0digital productionsystem optimization of industry 4.0single-dimension rulesTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 9821, p 9821 (2021)
institution DOAJ
collection DOAJ
language EN
topic yogurt filling machine
mathematical modelling
industry 4.0
digital production
system optimization of industry 4.0
single-dimension rules
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
spellingShingle yogurt filling machine
mathematical modelling
industry 4.0
digital production
system optimization of industry 4.0
single-dimension rules
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Bashir Salah
Razaullah Khan
Muawia Ramadan
Rafiq Ahmad
Waqas Saleem
Lab Scale Implementation of Industry 4.0 for an Automatic Yogurt Filling Production System—Experimentation, Modeling and Process Optimization
description Currently, Industry 4.0 is word of mouth, and its implementation has gained increased attention from industrial and academic researchers, entrepreneurs, and service providers all over the world. With Industry 4.0, the integration of facilities and products enables real-time data exchange, and the overall production system becomes self-reliant and intelligent to predict and maintain its operational performance. In this research, the lab-scale implementation of Industry 4.0 is implemented for an automatic yogurt filling production system. A mathematical model for the process optimization of Industry 4.0 was also developed. A real-life problem was solved optimally using linear programming techniques with the objective of maximizing the speed of the conveyor belt. Moreover, the sequencing of processing orders using single-dimensional rules was performed. The effects of changes in the feed rate of the yogurt valve and length of the conveyor belt on the feed rate of the flavor valve, speed of conveyor belt, waiting time, processing times, and the different performance measures were investigated at the end.
format article
author Bashir Salah
Razaullah Khan
Muawia Ramadan
Rafiq Ahmad
Waqas Saleem
author_facet Bashir Salah
Razaullah Khan
Muawia Ramadan
Rafiq Ahmad
Waqas Saleem
author_sort Bashir Salah
title Lab Scale Implementation of Industry 4.0 for an Automatic Yogurt Filling Production System—Experimentation, Modeling and Process Optimization
title_short Lab Scale Implementation of Industry 4.0 for an Automatic Yogurt Filling Production System—Experimentation, Modeling and Process Optimization
title_full Lab Scale Implementation of Industry 4.0 for an Automatic Yogurt Filling Production System—Experimentation, Modeling and Process Optimization
title_fullStr Lab Scale Implementation of Industry 4.0 for an Automatic Yogurt Filling Production System—Experimentation, Modeling and Process Optimization
title_full_unstemmed Lab Scale Implementation of Industry 4.0 for an Automatic Yogurt Filling Production System—Experimentation, Modeling and Process Optimization
title_sort lab scale implementation of industry 4.0 for an automatic yogurt filling production system—experimentation, modeling and process optimization
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/28ab701ab67047449d9a44ef586b3276
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AT razaullahkhan labscaleimplementationofindustry40foranautomaticyogurtfillingproductionsystemexperimentationmodelingandprocessoptimization
AT muawiaramadan labscaleimplementationofindustry40foranautomaticyogurtfillingproductionsystemexperimentationmodelingandprocessoptimization
AT rafiqahmad labscaleimplementationofindustry40foranautomaticyogurtfillingproductionsystemexperimentationmodelingandprocessoptimization
AT waqassaleem labscaleimplementationofindustry40foranautomaticyogurtfillingproductionsystemexperimentationmodelingandprocessoptimization
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