Maximizing operational efficiency with Industry 4.0 technology: integrating OEE as a performance indicator.
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| Title: | Maximizing operational efficiency with Industry 4.0 technology: integrating OEE as a performance indicator. |
|---|---|
| Authors: | Calandreli, Paulo Roberto1 (AUTHOR) paulo.calandreli@ufpr.br, Valle, Pablo Deivid1 (AUTHOR) pablo.valle@ufpr.br, Deschamps, Fernando1 (AUTHOR) fernando.deschamps@ufpr.br |
| Source: | International Journal of Advanced Manufacturing Technology. May2025, Vol. 138 Issue 3, p855-872. 18p. |
| Subjects: | Manufacturing execution systems, Industry 4.0, Manufacturing processes, Synchronization, Decision making |
| Abstract: | In the current industry scenario, traditional production analysis, focused on isolated operations, no longer meets market demands. Previously, the production process was viewed as a simple sum of operations, where improving one would automatically benefit the entire process. However, increasing internal competition now requires more efficient approaches for better decision-making, aimed at optimizing production processes and reducing factory costs. A common challenge is the lack of complete product traceability and the integration of production flows. Operators and managers often lack precise information on the product's stage or location, leading to inefficiencies. To address this, modern solutions like manufacturing execution system (MES) and overall equipment effectiveness (OEE) are essential. This study, conducted in a large metal-mechanical company, targets a 12% productivity increase and a 10% reduction in non-quality annually. The implementation of MES and OEE aims to enhance synchronization, reduce downtime, optimize resource use, and improve traceability. The project involved identifying bottlenecks, setting key performance indicators, and comprehensive training. As a result, productivity increased by 8% in the last semester. The objective of this study is to demonstrate that the implementation of Industry 4.0 technology, combined with the use of OEE as a performance indicator, can result in a projected productivity increase of more than 12%. This improvement adds measurable value, making the results actionable for industry stakeholders. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Advanced Manufacturing Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 185155501 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Maximizing operational efficiency with Industry 4.0 technology: integrating OEE as a performance indicator. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Calandreli%2C+Paulo+Roberto%22">Calandreli, Paulo Roberto</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> paulo.calandreli@ufpr.br</i><br /><searchLink fieldCode="AR" term="%22Valle%2C+Pablo+Deivid%22">Valle, Pablo Deivid</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> pablo.valle@ufpr.br</i><br /><searchLink fieldCode="AR" term="%22Deschamps%2C+Fernando%22">Deschamps, Fernando</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> fernando.deschamps@ufpr.br</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Advanced+Manufacturing+Technology%22">International Journal of Advanced Manufacturing Technology</searchLink>. May2025, Vol. 138 Issue 3, p855-872. 18p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Manufacturing+execution+systems%22">Manufacturing execution systems</searchLink><br /><searchLink fieldCode="DE" term="%22Industry+4%2E0%22">Industry 4.0</searchLink><br /><searchLink fieldCode="DE" term="%22Manufacturing+processes%22">Manufacturing processes</searchLink><br /><searchLink fieldCode="DE" term="%22Synchronization%22">Synchronization</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In the current industry scenario, traditional production analysis, focused on isolated operations, no longer meets market demands. Previously, the production process was viewed as a simple sum of operations, where improving one would automatically benefit the entire process. However, increasing internal competition now requires more efficient approaches for better decision-making, aimed at optimizing production processes and reducing factory costs. A common challenge is the lack of complete product traceability and the integration of production flows. Operators and managers often lack precise information on the product's stage or location, leading to inefficiencies. To address this, modern solutions like manufacturing execution system (MES) and overall equipment effectiveness (OEE) are essential. This study, conducted in a large metal-mechanical company, targets a 12% productivity increase and a 10% reduction in non-quality annually. The implementation of MES and OEE aims to enhance synchronization, reduce downtime, optimize resource use, and improve traceability. The project involved identifying bottlenecks, setting key performance indicators, and comprehensive training. As a result, productivity increased by 8% in the last semester. The objective of this study is to demonstrate that the implementation of Industry 4.0 technology, combined with the use of OEE as a performance indicator, can result in a projected productivity increase of more than 12%. This improvement adds measurable value, making the results actionable for industry stakeholders. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Advanced Manufacturing Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00170-025-15408-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 855 Subjects: – SubjectFull: Manufacturing execution systems Type: general – SubjectFull: Industry 4.0 Type: general – SubjectFull: Manufacturing processes Type: general – SubjectFull: Synchronization Type: general – SubjectFull: Decision making Type: general Titles: – TitleFull: Maximizing operational efficiency with Industry 4.0 technology: integrating OEE as a performance indicator. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Calandreli, Paulo Roberto – PersonEntity: Name: NameFull: Valle, Pablo Deivid – PersonEntity: Name: NameFull: Deschamps, Fernando IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 05 Text: May2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02683768 Numbering: – Type: volume Value: 138 – Type: issue Value: 3 Titles: – TitleFull: International Journal of Advanced Manufacturing Technology Type: main |
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