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.

Zero Defect Manufacturing – from vision to integrated industrial reality

Solina, Vittorio;
2026-01-01

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.
2026
artificial intelligence
data analytics
human–AI
interoperability
quality
quality prediction
standardisation
ZDM
Zero Defect Manufacturing
zero waste
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/412319
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