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 D6.4: CREMA Monitoring & Alerting Framework - Prototype II Result description These deliverables will provide the monitoring capabilities needed for process adaptation The second prototype will focus on the integration of more data sources as facilitated in WP4 and more sophisticated
 RP 6.9 On-demand manufacturing of customer-centric products Taxon description Internet economy and individualisation needs are pushing in particular for fast product/service systems able to combine rapid and flexible production capabilities with enhanced product design capabilities
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 Predictive and Explainable Machine Learning for Industrial Internet of Things Applications Result title Predictive and Explainable Machine Learning for Industrial Internet of Things Applications
 Product quality improvement policies in Industry 4.0: characteristics, enabling factors, barriers, and evolution toward Zero Defect Manufacturing Result description Special issue: Data-Driven Cognitive Manufacturing - Applications in Predictive Maintenance and Zero Defect ManufacturingPublished year: 2020
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 Validation of Life Cycle Cost (LCC) analysis integrated with Reliability and Maintainability (R&M) simulation and Repair Decision Support System RDSS Result description The results will be then used to feed the Repair Decision Support System (RDSS) to select the most cost-effective Repair strategies (among Corrective Maintenance - CM, Preventive Maintenance - PM, Predictive
 RP 3.14 De-Manufacturing factories Taxon description New integrated flexible de-manufacturing technologies should be realized, together with new business models comprehending reverse logistics processes and market approaches that make sustainable the End-Of-Life
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Description s-X-AIPI toolset of AI technologies will include an innovative AI data pipeline with autonomic computing capabilities (self-X AI and autonomic manager), architecture, realistic datasets together with their
 self-X Artificial Intelligence for Asphalt Use Case Result description To improve the efficiency of the whole value chain, AI apps will be used in predictive diagnosis of equipment efficiency to infer energy savings in production plant and maintenance optimization.
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Description Smart factories are characterised by smart processes, smart machines, smart tools and smart products as well as smart logistics operations.
 Periodic Reporting for period 1 - DAT4.ZERO (Data Reliability and Digitally-enhanced Quality Management for Zero Defect Manufacturing in Smart Factories and Ecosystems) Result description Smart factories are characterised by smart processes and smart manufacturing systems that involve interlinked smart machines, smart tools and smart products as well as smart logistics operations.
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Description and customizable data analysis services Development of an Intra Factory Information Service The overall concept behind this project is based on 3 key layers: Physical Layer: predictive
Comments manufacturing capabilities & logistics of the future MIE Consultation 2020 (Closed) Specific Objective 1: Excellent, responsive and smart factories & supply chains PROGRAMS deployed a FMECA constrained
 The use of Digital Twin for predictive maintenance in manufacturing Result title The use of Digital Twin for predictive maintenance in manufacturing
 Milling machine tools use case: Aurrenak pilot line Result description The Predictive Maintenance (PdM) strategy exploits data coming from sensorized equipment to determine when a processing resource is approaching the point when it will no longer be fit for purpose and,
 AAA - Access, Authorisation and Authentication Taxon description Authorisation is the process of allowing an entity (humans, systems or devices) to access information systems or facilities where information and processing capabilities are being stored.