OPTIMIZATION AND PERFORMANCE EVALUATION OF SUGAR MILL PLANT MICRO COMPONENTS USING PSO.
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| Title: | OPTIMIZATION AND PERFORMANCE EVALUATION OF SUGAR MILL PLANT MICRO COMPONENTS USING PSO. |
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| Authors: | Kumar, Sandeep1 praansandeep@gmail.com |
| Source: | Reliability: Theory & Applications. Dec2025, Vol. 20 Issue 4, p1241-1253. 13p. |
| Subjects: | Particle swarm optimization, Systems availability, Operations research, Reliability in engineering, Mathematical optimization, Failure analysis, Sugar factories, Markov processes |
| Abstract: | Sugar mill plants, especially their core processing units, are highly dependent on a well-organized and efficient maintenance strategy for reliable operation. In this study, an availability-based simulation model was developed for a 25,500 TCD sugar mill. This model is based on a Markov-based performance evaluation framework, which uses differential equations to form state-transition diagrams representing transitions between fully operational, partially operational, and failure states. A comparative analysis of the subcomponents studied concluded that a centrifugal pump failure has minimal impact on overall system availability, while a clarification unit failure has the most significant impact. To improve system reliability and performance, the Particle Swarm Optimization (PSO) method was applied to optimize failure and repair rates. The experimental results obtained show that the overall availability of the system after applying the proposed optimization strategy is achieved at 88.57%, which shows effectiveness and practical utility of the model. [ABSTRACT FROM AUTHOR] |
| Copyright of Reliability: Theory & Applications is the property of International Group on Reliability 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: 190594041 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: OPTIMIZATION AND PERFORMANCE EVALUATION OF SUGAR MILL PLANT MICRO COMPONENTS USING PSO. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kumar%2C+Sandeep%22">Kumar, Sandeep</searchLink><relatesTo>1</relatesTo><i> praansandeep@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Reliability%3A+Theory+%26+Applications%22">Reliability: Theory & Applications</searchLink>. Dec2025, Vol. 20 Issue 4, p1241-1253. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Particle+swarm+optimization%22">Particle swarm optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Systems+availability%22">Systems availability</searchLink><br /><searchLink fieldCode="DE" term="%22Operations+research%22">Operations research</searchLink><br /><searchLink fieldCode="DE" term="%22Reliability+in+engineering%22">Reliability in engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Failure+analysis%22">Failure analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Sugar+factories%22">Sugar factories</searchLink><br /><searchLink fieldCode="DE" term="%22Markov+processes%22">Markov processes</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Sugar mill plants, especially their core processing units, are highly dependent on a well-organized and efficient maintenance strategy for reliable operation. In this study, an availability-based simulation model was developed for a 25,500 TCD sugar mill. This model is based on a Markov-based performance evaluation framework, which uses differential equations to form state-transition diagrams representing transitions between fully operational, partially operational, and failure states. A comparative analysis of the subcomponents studied concluded that a centrifugal pump failure has minimal impact on overall system availability, while a clarification unit failure has the most significant impact. To improve system reliability and performance, the Particle Swarm Optimization (PSO) method was applied to optimize failure and repair rates. The experimental results obtained show that the overall availability of the system after applying the proposed optimization strategy is achieved at 88.57%, which shows effectiveness and practical utility of the model. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Reliability: Theory & Applications is the property of International Group on Reliability 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: 10.24412/1932-2321-2025-489-1241-1253 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1241 Subjects: – SubjectFull: Particle swarm optimization Type: general – SubjectFull: Systems availability Type: general – SubjectFull: Operations research Type: general – SubjectFull: Reliability in engineering Type: general – SubjectFull: Mathematical optimization Type: general – SubjectFull: Failure analysis Type: general – SubjectFull: Sugar factories Type: general – SubjectFull: Markov processes Type: general Titles: – TitleFull: OPTIMIZATION AND PERFORMANCE EVALUATION OF SUGAR MILL PLANT MICRO COMPONENTS USING PSO. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kumar, Sandeep IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19322321 Numbering: – Type: volume Value: 20 – Type: issue Value: 4 Titles: – TitleFull: Reliability: Theory & Applications Type: main |
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