Deployment Key Performance Indicators for Sustainable Manufacturing

The Zero-Defect Manufacturing (ZDM) strategy, particularly the Zero Defect Zero Waste (ZDZW) methodology, emerges as a crucial approach to enhance sustainability in the global manufacturing supply chain. The European Union project ‘ZDZW’, focusing on diverse industrial scenarios, addresses challenges faced by industries such as plastics, metals, energy, ceramics, and consumer goods. Within this framework, the integration of ZDZW technologies, including Non-Destructive Inspection Technologies (NDIT) and artificial intelligence (AI), becomes pivotal. The industrial use case presented involves implementing ZDZW solutions in the thermoforming process for refrigerator inner body parts. This integration aims to automate quality assessment, reduce defects, and optimize production quality. The application of AI enhanced thermal imaging and digital twin models provides real-time data for quality control, minimizing scrap rates and energy consumption. Sustainable Key Performance Indicators (KPIs) are defined to evaluate the impact of NDIT, emphasizing the reduction of scrap rates, carbon dioxide emissions, and overall environmental impact. The ZDZW methodology, positioned as part of the smart manufacturing ecosystem, contributes to innovative quality assurance, control, and sustainability services, aligning with the growing demand for sustainable production in the face of global challenges and disruptions

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-10
DOI
https://doi.org/10.5281/zenodo.15631571
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

Deployment Key Performance Indicators for Sustainable Manufacturing

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Deployment Key Performance Indicators for Sustainable Manufacturing

article en

Abstract

The Zero-Defect Manufacturing (ZDM) strategy, particularly the Zero Defect Zero Waste (ZDZW) methodology, emerges as a crucial approach to enhance sustainability in the global manufacturing supply chain. The European Union project ‘ZDZW’, focusing on diverse industrial scenarios, addresses challenges faced by industries such as plastics, metals, energy, ceramics, and consumer goods. Within this framework, the integration of ZDZW technologies, including Non-Destructive Inspection Technologies (NDIT) and artificial intelligence (AI), becomes pivotal. The industrial use case presented involves implementing ZDZW solutions in the thermoforming process for refrigerator inner body parts. This integration aims to automate quality assessment, reduce defects, and optimize production quality. The application of AI enhanced thermal imaging and digital twin models provides real-time data for quality control, minimizing scrap rates and energy consumption. Sustainable Key Performance Indicators (KPIs) are defined to evaluate the impact of NDIT, emphasizing the reduction of scrap rates, carbon dioxide emissions, and overall environmental impact. The ZDZW methodology, positioned as part of the smart manufacturing ecosystem, contributes to innovative quality assurance, control, and sustainability services, aligning with the growing demand for sustainable production in the face of global challenges and disruptions

Zenodo (CERN European Organization for Nuclear Research)
Arçelik (Turkey) (TR), EuroAcademy (EE), Universitat Politècnica de València (ES)
Responsible consumption and production
Openalex Percentile: Top 52%
Geochemistry and Geologic Mapping
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