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Zero Defect Manufacturing – from vision to integrated industrial reality.

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Title: Zero Defect Manufacturing – from vision to integrated industrial reality.
Authors: Psarommatis, Foivos1,2 (AUTHOR) foivosp@ifi.uio.no, Azamfirei, Victor3 (AUTHOR), Solina, Vittorio4 (AUTHOR), May, Gokan5 (AUTHOR), Jun, Hongbae6 (AUTHOR)
Source: International Journal of Production Research. Sep2026, Vol. 64 Issue 17, p7261-7268. 8p.
Subjects: Manufacturing defects, Industry 4.0, User-centered system design, Sustainability, Digital technology
Abstract: Zero Defect Manufacturing (ZDM) has evolved from a long-standing quality philosophy into a comprehensive, data-driven, and sustainability-oriented paradigm for modern industry. This editorial introduces the Special Issue on ZDM, which comprises twelve papers that collectively advance the scientific, technological, and managerial foundations for achieving defect-free production in digitally connected manufacturing environments. The issue builds upon the ZDM life-cycle framework, which integrates core strategies within a continuous loop of data collection, analysis, decision-making, and adaptive learning. The collected contributions address key enabling domains, including data analytics, artificial intelligence, explainable AI, digital assets, cost modelling, human–AI collaboration, human-centric implementation, machine-vision maturity assessment, and the integration of Lean, Industry 4.0, and Industry 5.0 principles. Collectively, they demonstrate the growing maturity of ZDM as both a research field and an industrial practice. Emerging directions highlight sustainability and circularity, standardisation through interoperable data architectures such as AAS and GAIA-X, and human-centric readiness for implementation. The future outlook identifies six research priorities, semantic interoperability, hybrid intelligence, lifecycle integration, standardised benchmarks, cybersecurity, and human-centric design, positioning ZDM as a cornerstone for resilient, intelligent, and sustainable manufacturing. [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.)
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  Data: Zero Defect Manufacturing – from vision to integrated industrial reality.
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  Data: Zero Defect Manufacturing (ZDM) has evolved from a long-standing quality philosophy into a comprehensive, data-driven, and sustainability-oriented paradigm for modern industry. This editorial introduces the Special Issue on ZDM, which comprises twelve papers that collectively advance the scientific, technological, and managerial foundations for achieving defect-free production in digitally connected manufacturing environments. The issue builds upon the ZDM life-cycle framework, which integrates core strategies within a continuous loop of data collection, analysis, decision-making, and adaptive learning. The collected contributions address key enabling domains, including data analytics, artificial intelligence, explainable AI, digital assets, cost modelling, human–AI collaboration, human-centric implementation, machine-vision maturity assessment, and the integration of Lean, Industry 4.0, and Industry 5.0 principles. Collectively, they demonstrate the growing maturity of ZDM as both a research field and an industrial practice. Emerging directions highlight sustainability and circularity, standardisation through interoperable data architectures such as AAS and GAIA-X, and human-centric readiness for implementation. The future outlook identifies six research priorities, semantic interoperability, hybrid intelligence, lifecycle integration, standardised benchmarks, cybersecurity, and human-centric design, positioning ZDM as a cornerstone for resilient, intelligent, and sustainable manufacturing. [ABSTRACT FROM AUTHOR]
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  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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        Value: 10.1080/00207543.2026.2707319
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        Text: English
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      – SubjectFull: User-centered system design
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              Text: Sep2026
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