A Data Based Reliability Evaluation of a Mold Production System.
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| Title: | A Data Based Reliability Evaluation of a Mold Production System. |
|---|---|
| Authors: | ISCIOGLU, Funda1 fundaiscioglu@gmail.com, AKKURT, Samet2, DUNDAR, Anil Yigit1 |
| Source: | Gazi University Journal of Science. 2026, Vol. 39 Issue 1, p210-231. 22p. |
| Subjects: | System downtime, Machine performance, Manufacturing processes, Mathematical statistics, Engineering reliability theory, Computerized maintenance management systems, Condition-based maintenance, Molds (Casts & casting) |
| Abstract: | Evaluation of the operating performance of the machines used in manufacturing companies is extremely important in terms of planning and effective management of maintenance and repair works. The main method used in the study is statistical reliability analysis. Since reliability analysis covers the studies that enable the company to maintain its quality in the long term, it enables more effective use of statistical methods through time-based data collected in the sector. For this purpose, in this study, an effective evaluation of the data obtained by examining the running and downtime of all machines in production together with the reasons for downtime in a mold manufacturing company is carried out. In addition, the reliability analysis method has been used effectively in a mold manufacturing company in a way that allows probabilistic prediction of the time-based operating performances of the machines. As a result of the comprehensive analysis applied, time-based reliability estimation on machine basis, average remaining lifetime estimation, optimal replacement times taking into account various costs are calculated. Thus, machine performance evaluations are made in the company and low-performance, or more reliable machines are identified. In addition, for a k-out-of-n system structure, reliability predictions are made under 3 different scenarios, and the results are analyzed for the company. All the results obtained are presented in detail with various tables and graphs. [ABSTRACT FROM AUTHOR] |
| Copyright of Gazi University Journal of Science is the property of Gazi University Journal of Science 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 |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194600948 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Data Based Reliability Evaluation of a Mold Production System. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22ISCIOGLU%2C+Funda%22">ISCIOGLU, Funda</searchLink><relatesTo>1</relatesTo><i> fundaiscioglu@gmail.com</i><br /><searchLink fieldCode="AR" term="%22AKKURT%2C+Samet%22">AKKURT, Samet</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22DUNDAR%2C+Anil+Yigit%22">DUNDAR, Anil Yigit</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Gazi+University+Journal+of+Science%22">Gazi University Journal of Science</searchLink>. 2026, Vol. 39 Issue 1, p210-231. 22p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22System+downtime%22">System downtime</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+performance%22">Machine performance</searchLink><br /><searchLink fieldCode="DE" term="%22Manufacturing+processes%22">Manufacturing processes</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+statistics%22">Mathematical statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+reliability+theory%22">Engineering reliability theory</searchLink><br /><searchLink fieldCode="DE" term="%22Computerized+maintenance+management+systems%22">Computerized maintenance management systems</searchLink><br /><searchLink fieldCode="DE" term="%22Condition-based+maintenance%22">Condition-based maintenance</searchLink><br /><searchLink fieldCode="DE" term="%22Molds+%28Casts+%26+casting%29%22">Molds (Casts & casting)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Evaluation of the operating performance of the machines used in manufacturing companies is extremely important in terms of planning and effective management of maintenance and repair works. The main method used in the study is statistical reliability analysis. Since reliability analysis covers the studies that enable the company to maintain its quality in the long term, it enables more effective use of statistical methods through time-based data collected in the sector. For this purpose, in this study, an effective evaluation of the data obtained by examining the running and downtime of all machines in production together with the reasons for downtime in a mold manufacturing company is carried out. In addition, the reliability analysis method has been used effectively in a mold manufacturing company in a way that allows probabilistic prediction of the time-based operating performances of the machines. As a result of the comprehensive analysis applied, time-based reliability estimation on machine basis, average remaining lifetime estimation, optimal replacement times taking into account various costs are calculated. Thus, machine performance evaluations are made in the company and low-performance, or more reliable machines are identified. In addition, for a k-out-of-n system structure, reliability predictions are made under 3 different scenarios, and the results are analyzed for the company. All the results obtained are presented in detail with various tables and graphs. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Gazi University Journal of Science is the property of Gazi University Journal of Science 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: 10.35378/gujs.1473837 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 210 Subjects: – SubjectFull: System downtime Type: general – SubjectFull: Machine performance Type: general – SubjectFull: Manufacturing processes Type: general – SubjectFull: Mathematical statistics Type: general – SubjectFull: Engineering reliability theory Type: general – SubjectFull: Computerized maintenance management systems Type: general – SubjectFull: Condition-based maintenance Type: general – SubjectFull: Molds (Casts & casting) Type: general Titles: – TitleFull: A Data Based Reliability Evaluation of a Mold Production System. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: ISCIOGLU, Funda – PersonEntity: Name: NameFull: AKKURT, Samet – PersonEntity: Name: NameFull: DUNDAR, Anil Yigit IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 13039709 Numbering: – Type: volume Value: 39 – Type: issue Value: 1 Titles: – TitleFull: Gazi University Journal of Science Type: main |
| ResultId | 1 |
