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Description the deployment of technologies in 5 industrially relevant scenarios: 4 manufacturing lines in different sectors, automotive, household appliances, hand tool manufacturing and food processing, and 1 in logistics
 Logistic sector: Order preparation in logistics Result title Logistic sector: Order preparation in logistics Result description ULMA is a technology provider of logistics solutions.
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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.
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Comments manufacturing capabilities & logistics of the future MIE Consultation 2020 (Closed) Specific Objective 1: Excellent, responsive and smart factories & supply chains R&I Objective 4.3: Human & technology
 Measurement, sensing, condition and performance monitoring technologies Taxon description advanced metrology, calibration and sensing, signal processing and model-based virtual sensing for a wide range of applications, e.g. event pattern detection, diagnostics, anomaly detection, prognostics and predictive
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Comments manufacturing capabilities & logistics of the future MIE Consultation 2020 (Closed) Specific Objective 1: Excellent, responsive and smart factories & supply chains Innovation Action (IA) Project type
 RP 2.3 Symbiotic Safe and Productive human robot interaction, professional Service Robots and Multimodal Human-Machine-Robot Collaboration Taxon description Semantics, reasoning, self-learning and decision-making capabilities for these smart and autonomous robots interacting with other robots, with machinery and with human workers as well as distributed embedded
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Description Our concept is to DISRUPT that pyramid by utilising the capabilities offered by modern ICT to facilitate (i) in-depth (self-)monitoring of machines and processes, (ii) decision support and decentralised
Comments manufacturing capabilities & logistics of the future MIE Consultation 2020 (Closed) Specific Objective 1: Excellent, responsive and smart factories & supply chains DISRUPT has introduced a close interplay
 D4.3 Predictive Analytics Toolkit Result title D4.3 Predictive Analytics Toolkit Result description Predictive Analytics Toolkit
 RP 4.5 Complex Event Processing (CEP) for state detection and analytics in supply networks Taxon description CEP for holistic value chain will not only increase business and process-level intelligence across all tiers of an enterprise resulting in faster reaction time to shop floor alerts or changing logistics
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Description Low cost labour is no longer an option for EU manufacturers due to the fast rise of wages and the increasing costs of energy and logistics.
Comments manufacturing capabilities & logistics of the future MIE Consultation 2020 (Closed) Specific Objective 1: Excellent, responsive and smart factories & supply chains R&I Objective 1.5: Advanced Manufacturing
 RP 5.3 Levels of automation and continuous adaptation of workplaces Taxon description Relevant research should aim at methods and tools for a continuous adaptation of workplaces to the physical, sensorial and cognitive capabilities of workers, especially for older and disabled people.
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Comments Manufacturing capabilities & Logistics of the future MIE Consultation 2020 (Closed) Specific Objective 2: Circular products & Climate-neutral manufacturing predictive robotic manufacturing digital
 Energy-efficient high precision assembly of aerospace components Result description SIR 3 robots demonstration cell realizes energy-efficient high precision assembly with additional energy exchanging/storing capabilities.
 Measurement, sensing, condition and performance monitoring technologies Taxon description Continuous monitoring of the condition and performance of the manufacturing system on component and machine level, enables sustainable and competive manufacturing, also by introducing autonomous diagnosis capabilities
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Comments manufacturing capabilities & logistics of the future MIE Consultation 2020 (Closed) Specific Objective 1: Excellent, responsive and smart factories & supply chains R&I Objective 1.5: Advanced Manufacturing
 Measurement, sensing, condition and performance monitoring technologies Taxon description Continuous monitoring of the condition and performance of the manufacturing system on component and machine level, enables sustainable and competive manufacturing, also by introducing autonomous diagnosis capabilities
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Description However, manufacturers only spend 15% of their total maintenance costs on predictive (vs reactive or preventative) maintenance.
Comments manufacturing capabilities & logistics of the future MIE Consultation 2020 (Closed) Specific Objective 1: Excellent, responsive and smart factories & supply chains R&I Objective 1.6: Data ‘highways’
 Predictive Maintenance als Wegbereiter für die instandhaltungsgerechte Produktionssteuerung Result title Predictive Maintenance als Wegbereiter für die instandhaltungsgerechte Produktionssteuerung
 RP 3.2 Intelligent maintenance systems for increased reliability of production systems Taxon description For this, predictive data analytics techniques should be developed to aggregate and process the massive amount of data captured by intelligent devices from the field on-the-fly.
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Description However, Europe has world-class capabilities in the manufacture of high-value parts for such competitive sectors like aerospace & automotive and this has led to the creation of a high-technology, high-skill
Comments manufacturing capabilities & logistics of the future MIE Consultation 2020 (Closed) Specific Objective 1: Excellent, responsive and smart factories & supply chains R&I Objective 1.5: Advanced Manufacturing
 Local Monitoring and Control System Result description All acquired signals are requested by ARTIS OPR, that acts as a long-term storage system and provides additional features like OPC based communication, computation capabilities and connection to cloud
 APIs and Integration Protocols Taxon description Other architectures being used as Integratio Protocols in Digital Manufacturing Platforms are JSON (for its near real time capabilities) and MQ (message bus architectures).
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Description Moreover, production, quality and logistics operations driven by predictive maintenance will benefit from UPTIME.
Comments R&I Objective 1.4: Artificial intelligence for productive, excellent, robust and agile manufacturing chains - Predictive manufacturing capabilities & logistics of the future MIE Consultation 2020
 Towards a Unified Predictive Maintenance System - A Use Case in Production Logistics in Aeronautics Result title Towards a Unified Predictive Maintenance System - A Use Case in Production Logistics in Aeronautics
 Market Research Result description Market analysis of the predictive maintenance market
 Measurement, sensing, condition and performance monitoring technologies Taxon description advanced metrology, calibration and sensing, signal processing and model-based virtual sensing for a wide range of applications, e.g. event pattern detection, diagnostics, anomaly detection, prognostics and predictive
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Description Thanks to enhanced robot sensing capabilities, the deployment of artificial intelligence to optimise productivity and safety, and natively collaborative manipulation technologies, ROSSINI wants to deliver
Comments R&I Objective 1.4: Artificial intelligence for productive, excellent, robust and agile manufacturing chains - Predictive manufacturing capabilities & logistics of the future MIE Consultation 2020
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Comments manufacturing capabilities & logistics of the future MIE Consultation 2020 (Closed) Specific Objective 1: Excellent, responsive and smart factories & supply chains R&I Objective 1.5: Advanced Manufacturing
 Measurement, sensing, condition and performance monitoring technologies Taxon description Continuous monitoring of the condition and performance of the manufacturing system on component and machine level, enables sustainable and competive manufacturing, also by introducing autonomous diagnosis capabilities