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ZDZW

Non-Destructive Inspection Services for Digitally Enhanced Zero Waste Manufacturing

Field
European
Date
01/09/2022 - 31/08/2025
Industry
Budget
Total project budget: 11M€CIGIP budget: 300K€.
Funded by

European Commission - Horizon Europe

Website
Video

PROJECT INFORMATION

DESCRIPTION

ZDZW excels in offering a catalogue of IoT based non-destructive inspection technologies, providing an accurate inline evaluation of key product parameters that have an effect in quality requirements within different technical areas, such as: Part Integrity, Visual Requirements and Thermal Process efficiency. The ZDZW Inspection Solutions follow the concept of Inspection as a service, guaranteeing its cost effectiveness and improved return of investment, offering different types of subscription and pay-per-use models depending on the offered functionalities. To pursue the main goal of reducing defects and the waste generated in manufacturing processes, ZDZW addresses defects and waste reduction in three key areas that cover the entire manufacturing process and product lifecycle: (i) Monitoring and control improvement for process quality assurance, where first-time-right manufacturing rate can be increased, including improved durability properties and reduced waste generation; (ii) digitally enhanced Rework & Repair procedures for necessary part recovery and scrap reduction; and (iii) Continuous Sustainability evaluation to ensure the efficient use of materials and components across the full production line. ZDZW is strongly supported by collaboration with relevant EU initiatives such as ZDMP and i4Q, providing components and services that enhance key ICT aspects such as interoperability, interlinking, security, data reliability and digital platforms. ZDZW will demonstrate its ZD and ZW approach in 6 Pilots involving production processes with an important waste reduction potential, such as injection molding, thermoforming, welding and coating, induction hardening, lithography and packaging, involving key industrial sectors as automotive, home appliances, renewable energy, e-health, and food and beverages.

ZDZW excels in offering a catalogue of IoT based non-destructive inspection technologies, providing an accurate inline evaluation of key product parameters that have an effect in quality requirements within different technical areas, such as: Part Integrity, Visual Requirements and Thermal Process efficiency. The ZDZW Inspection Solutions follow the concept of Inspection as a service, guaranteeing its cost effectiveness and improved return of investment, offering different types of subscription and pay-per-use models depending on the offered functionalities. To pursue the main goal of reducing defects and the waste generated in manufacturing processes, ZDZW addresses defects and waste reduction in three key areas that cover the entire manufacturing process and product lifecycle: (i) Monitoring and control improvement for process quality assurance, where first-time-right manufacturing rate can be increased, including improved durability properties and reduced waste generation; (ii) digitally enhanced Rework & Repair procedures for necessary part recovery and scrap reduction; and (iii) Continuous Sustainability evaluation to ensure the efficient use of materials and components across the full production line. ZDZW is strongly supported by collaboration with relevant EU initiatives such as ZDMP and i4Q, providing components and services that enhance key ICT aspects such as interoperability, interlinking, security, data reliability and digital platforms. ZDZW will demonstrate its ZD and ZW approach in 6 Pilots involving production processes with an important waste reduction potential, such as injection molding, thermoforming, welding and coating, induction hardening, lithography and packaging, involving key industrial sectors as automotive, home appliances, renewable energy, e-health, and food and beverages.

Entities

https://cordis.europa.eu/project/id/101057404

Contact information

Ángel Ortiz
Head of Research Unit

CIGIP

Technological capabilities

IA
Artificial Vision