Integrated remanufacturing scheduling of disassembly, reprocessing and reassembly considering energy efficiency and stochasticity through group teaching optimization and simulation approaches.
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| Title: | Integrated remanufacturing scheduling of disassembly, reprocessing and reassembly considering energy efficiency and stochasticity through group teaching optimization and simulation approaches. |
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| Authors: | Fu, Yaping1 (AUTHOR), Zhang, Zhengpei1 (AUTHOR), Liang, Pei1,2 (AUTHOR), Tian, Guangdong3,4 (AUTHOR) tiangd2013@163.com, Zhang, Chaoyong2 (AUTHOR) |
| Source: | Engineering Optimization. Dec2024, Vol. 56 Issue 12, p2018-2039. 22p. |
| Subjects: | Discrete event simulation, Discrete systems, Energy shortages, Pollution, Customer satisfaction, Remanufacturing |
| Abstract: | The energy crisis and environmental pollution are receiving increasing attention from governments and communities. This study researches energy-aware remanufacturing systems. Remanufacturing aims to reuse valuable resources from end-of-life products and produce as-new products. Since remanufacturing systems involve a series of disassembly, processing and assembly operations, remanufacturing schedule integrates disassembly, processing and assembly shops. A multi-objective scheduling of remanufacturing systems is proposed, considering workstation use, energy consumption and customer satisfaction simultaneously. A chance-constrained programming model is established to minimize makespan and energy consumption while satisfying total tardiness requirements. A hybrid method is developed, using group teaching optimization and a discrete event simulation system, which can seek and evaluate potentially favourable solutions. The approach is validated on a group of test instances using well-known methods. The results reveal that this method can find non-dominated solutions with well-converged and well-diversified performance, verifying its advantages in providing informed decisions for managers and engineers. [ABSTRACT FROM AUTHOR] |
| Copyright of Engineering Optimization is the property of Taylor & Francis Ltd 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 | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 181198015 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Integrated remanufacturing scheduling of disassembly, reprocessing and reassembly considering energy efficiency and stochasticity through group teaching optimization and simulation approaches. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Fu%2C+Yaping%22">Fu, Yaping</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Zhengpei%22">Zhang, Zhengpei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liang%2C+Pei%22">Liang, Pei</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tian%2C+Guangdong%22">Tian, Guangdong</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<i> tiangd2013@163.com</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Chaoyong%22">Zhang, Chaoyong</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Engineering+Optimization%22">Engineering Optimization</searchLink>. Dec2024, Vol. 56 Issue 12, p2018-2039. 22p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Discrete+event+simulation%22">Discrete event simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Discrete+systems%22">Discrete systems</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+shortages%22">Energy shortages</searchLink><br /><searchLink fieldCode="DE" term="%22Pollution%22">Pollution</searchLink><br /><searchLink fieldCode="DE" term="%22Customer+satisfaction%22">Customer satisfaction</searchLink><br /><searchLink fieldCode="DE" term="%22Remanufacturing%22">Remanufacturing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The energy crisis and environmental pollution are receiving increasing attention from governments and communities. This study researches energy-aware remanufacturing systems. Remanufacturing aims to reuse valuable resources from end-of-life products and produce as-new products. Since remanufacturing systems involve a series of disassembly, processing and assembly operations, remanufacturing schedule integrates disassembly, processing and assembly shops. A multi-objective scheduling of remanufacturing systems is proposed, considering workstation use, energy consumption and customer satisfaction simultaneously. A chance-constrained programming model is established to minimize makespan and energy consumption while satisfying total tardiness requirements. A hybrid method is developed, using group teaching optimization and a discrete event simulation system, which can seek and evaluate potentially favourable solutions. The approach is validated on a group of test instances using well-known methods. The results reveal that this method can find non-dominated solutions with well-converged and well-diversified performance, verifying its advantages in providing informed decisions for managers and engineers. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Engineering Optimization is the property of Taylor & Francis Ltd 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: 10.1080/0305215X.2023.2296538 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 2018 Subjects: – SubjectFull: Discrete event simulation Type: general – SubjectFull: Discrete systems Type: general – SubjectFull: Energy shortages Type: general – SubjectFull: Pollution Type: general – SubjectFull: Customer satisfaction Type: general – SubjectFull: Remanufacturing Type: general Titles: – TitleFull: Integrated remanufacturing scheduling of disassembly, reprocessing and reassembly considering energy efficiency and stochasticity through group teaching optimization and simulation approaches. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fu, Yaping – PersonEntity: Name: NameFull: Zhang, Zhengpei – PersonEntity: Name: NameFull: Liang, Pei – PersonEntity: Name: NameFull: Tian, Guangdong – PersonEntity: Name: NameFull: Zhang, Chaoyong IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 0305215X Numbering: – Type: volume Value: 56 – Type: issue Value: 12 Titles: – TitleFull: Engineering Optimization Type: main |
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