Towards resilience in Industry 5.0: application of system dynamics in matrix-structured manufacturing system.
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| Title: | Towards resilience in Industry 5.0: application of system dynamics in matrix-structured manufacturing system. |
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| Authors: | Wang, Miao1 (AUTHOR), Tong, Yifei1 (AUTHOR) tyf51129@aliyun.com, Zhuang, Cunbo2 (AUTHOR) |
| Source: | International Journal of Production Research. Jul2026, Vol. 64 Issue 13, p5290-5314. 25p. |
| Subjects: | System dynamics, Flexible manufacturing systems, Organizational resilience, Manufacturing processes, Industry 4.0, Business continuity planning, Simulation software |
| Abstract: | In the face of increasing global disruptions, resilient manufacturing systems are critical to ensuring operational stability, a concept central to the Industry 5.0 vision. The Matrix-Structured Manufacturing System (MMS) is a key example of such resilience, designed to maintain functionality and recover quickly under major disruptions. This paper introduces a novel System Dynamics (SD)-based modelling and simulation framework to quantitively assess the performance indicators and resilience of MMS. By simulating key disruption scenarios, including partial equipment failures and order fluctuations with resource constraints, this study evaluates the system's response and recovery capabilities using a Comprehensive Resilience Index (CRI). Unlike conventional approaches, the proposed SD model captures the dynamic interactions across various production configurations and simulates the operational logic governing them, which can also be applied to other production systems. The simulation results demonstrate the potential of SD to support decision-making by providing insights into the effectiveness of reconfiguration strategies and resource management. This work aims at offering robust methods for quantitative resilience assessment and strategic planning towards the practical implementation of resilient manufacturing in Industry 5.0 envisions. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Production Research 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 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194842705 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Towards resilience in Industry 5.0: application of system dynamics in matrix-structured manufacturing system. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wang%2C+Miao%22">Wang, Miao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tong%2C+Yifei%22">Tong, Yifei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> tyf51129@aliyun.com</i><br /><searchLink fieldCode="AR" term="%22Zhuang%2C+Cunbo%22">Zhuang, Cunbo</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Jul2026, Vol. 64 Issue 13, p5290-5314. 25p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22System+dynamics%22">System dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Flexible+manufacturing+systems%22">Flexible manufacturing systems</searchLink><br /><searchLink fieldCode="DE" term="%22Organizational+resilience%22">Organizational resilience</searchLink><br /><searchLink fieldCode="DE" term="%22Manufacturing+processes%22">Manufacturing processes</searchLink><br /><searchLink fieldCode="DE" term="%22Industry+4%2E0%22">Industry 4.0</searchLink><br /><searchLink fieldCode="DE" term="%22Business+continuity+planning%22">Business continuity planning</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+software%22">Simulation software</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In the face of increasing global disruptions, resilient manufacturing systems are critical to ensuring operational stability, a concept central to the Industry 5.0 vision. The Matrix-Structured Manufacturing System (MMS) is a key example of such resilience, designed to maintain functionality and recover quickly under major disruptions. This paper introduces a novel System Dynamics (SD)-based modelling and simulation framework to quantitively assess the performance indicators and resilience of MMS. By simulating key disruption scenarios, including partial equipment failures and order fluctuations with resource constraints, this study evaluates the system's response and recovery capabilities using a Comprehensive Resilience Index (CRI). Unlike conventional approaches, the proposed SD model captures the dynamic interactions across various production configurations and simulates the operational logic governing them, which can also be applied to other production systems. The simulation results demonstrate the potential of SD to support decision-making by providing insights into the effectiveness of reconfiguration strategies and resource management. This work aims at offering robust methods for quantitative resilience assessment and strategic planning towards the practical implementation of resilient manufacturing in Industry 5.0 envisions. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Production Research 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: 10.1080/00207543.2024.2430443 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 5290 Subjects: – SubjectFull: System dynamics Type: general – SubjectFull: Flexible manufacturing systems Type: general – SubjectFull: Organizational resilience Type: general – SubjectFull: Manufacturing processes Type: general – SubjectFull: Industry 4.0 Type: general – SubjectFull: Business continuity planning Type: general – SubjectFull: Simulation software Type: general Titles: – TitleFull: Towards resilience in Industry 5.0: application of system dynamics in matrix-structured manufacturing system. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Miao – PersonEntity: Name: NameFull: Tong, Yifei – PersonEntity: Name: NameFull: Zhuang, Cunbo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00207543 Numbering: – Type: volume Value: 64 – Type: issue Value: 13 Titles: – TitleFull: International Journal of Production Research Type: main |
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