Projects overview

Sort by


Toggle all information

KRAKEN | Hybrid automated machine integrating concurrent manufacturing processes, increasing the production volume of functional on-demand using high multi-material deposition rates

01-10-2016

-

30-09-2019

Show more information
Comments learned, training aspects Knowledge-workers and operators Technologies and enablers Standards Standards and standardisation Number of developed systems and technologies Additional KPIs High rate
 Knowledge-workers and operators Taxon description Lessons learned and recommendations.

PROPHESY | Platform for rapid deployment of self-configuring and optimized predictive maintenance services

01-10-2017

-

30-09-2020

Show more information
 Foresee Cluster - Predictive maintenance technologies for production systems. A roadmap to development and implementation. Result description This white paper presents a review of the lessons learned from the point of view of six EU funded H2020 research projects (PRECOM, PROPHESY, PROGRAMS, SERENA, UPTIME and Z-BREAK), funded under the topic

Z-BRE4K | Strategies and Predictive Maintenance models wrapped around physical systems for Zero-unexpected-Breakdowns and increased operating life of Factories

01-10-2017

-

31-03-2021

Show more information
 Foresee Cluster - Predictive maintenance technologies for production systems. A roadmap to development and implementation. Result description This white paper presents a review of the lessons learned from the point of view of six EU funded H2020 research projects (PRECOM, PROPHESY, PROGRAMS, SERENA, UPTIME and Z-BREAK), funded under the topic

AUTOWARE | Wireless Autonomous, Reliable and Resilient ProductIon Operation ARchitecture for Cognitive Manufacturing

01-10-2016

-

30-09-2019

Show more information
Comments Skills and training aspects Significant innovations and lessons learned, training aspects To guarantee a usable and intuitive access for SMEs to several European initiatives and platforms that are developing
 D4.5 AUTOWARE Open CPPS ecosystem lessons learned Result title D4.5 AUTOWARE Open CPPS ecosystem lessons learned Result description D4.5 AUTOWARE Open CPPS ecosystem lessons learned (M33) This document will describe the lessons learned for setting up and operating the AUTOWARE Open CPPS ecosystem.

COROMA | Cognitively enhanced robot for flexible manufacturing of metal and composite parts

01-10-2016

-

30-09-2019

Show more information
Comments Significant innovations and lessons learned, training aspects Industry has a good disposition to integrate the techologies developed and applied in COROMA: we must continue approaching final
 CORO-OPTIM Result description The optimisation consists of both immediate response and by the feedback of lessons learned and process know-how to CORO-PROG module.
 Lessons learned Taxon title Lessons learned

Z-Fact0r | Zero-defect manufacturing strategies towards on-line production management for European factories

01-10-2016

-

31-03-2020

Show more information
Comments deliverableType_EC super_admin result_rcn_EC super_admin deliverableType_EC super_admin Lessons learned Significant innovations and lessons learned, training aspects Concerning Microsemi use
 Report on Solution Validation Result description demonstrations at the operational environment of the project pilot sites (WP6), we’ll analyse the collected data and feedback; and we’ll synthesize and document our validation conclusions and conclude on the “lessons-learned
 Lessons learned Taxon title Lessons learned

PROGRAMS | PROGnostics based Reliability Analysis for Maintenance Scheduling

01-10-2017

-

31-03-2021

Show more information
Comments Lessons learned Significant innovations and lessons learned, training aspects Several challenges limit the succesfull application of Predictive Maintenance in factories:
 Foresee Cluster - Predictive maintenance technologies for production systems. A roadmap to development and implementation. Result description This white paper presents a review of the lessons learned from the point of view of six EU funded H2020 research projects (PRECOM, PROPHESY, PROGRAMS, SERENA, UPTIME and Z-BREAK), funded under the topic
 Lessons learned Taxon title Lessons learned

CoLLaboratE | Co-production CeLL performing Human-Robot Collaborative AssEmbly

01-10-2018

-

31-03-2022

Show more information
Comments Significance of the results for SMEs Significant innovations and lessons learned, training aspects The target users for the CoLLaboratE system are manufacturing industries in
 CoLLaboratE consolidated evaluation and lessons learned (Preliminary) Result title CoLLaboratE consolidated evaluation and lessons learned
 CoLLaboratE consolidated evaluation and lessons learned Result title CoLLaboratE consolidated evaluation and lessons learned Result description Final version of CoLLaboratE consolidated evaluation and lessons learned

UPTIME | UNIFIED PREDICTIVE MAINTENANCE SYSTEM

01-09-2017

-

28-02-2021

Show more information
Comments Lessons learned Significant innovations and lessons learned, training aspects One of the main learnings is that Data quality needs to be ensured from the beginning of
 Foresee Cluster - Predictive maintenance technologies for production systems. A roadmap to development and implementation. Result description This white paper presents a review of the lessons learned from the point of view of six EU funded H2020 research projects (PRECOM, PROPHESY, PROGRAMS, SERENA, UPTIME and Z-BREAK), funded under the topic
 Lessons learned Taxon title Lessons learned

CloudiFacturing | Cloudification of Production Engineering for Predictive Digital Manufacturing

01-10-2017

-

30-09-2021

Show more information
Comments learned Significant innovations and lessons learned, training aspects result_rcn_EC super_admin Specific Objective 4: Human-centered and human-driven manufacturing innovation MIE Consultation 2020 (
 D100.3 Result description D1003 Report on the third Wave of Experiments and Lessons LearnedThis deliverable includes the requirements and design specification of each individual application experiment in the third wave both technical
 Lessons learned Taxon title Lessons learned

BEinCPPS | Business Experiments in Cyber Physical Production Systems

11-01-2015

-

31-10-2018

Show more information
Comments learned Significant innovations and lessons learned, training aspects result_rcn_EC super_admin deliverableType_EC super_admin Skills and training aspects Significant innovations and lessons learned
 D3.4a Technical evaluation, lessons learned, recommendations Result title D3.4a Technical evaluation, lessons learned, recommendations
 D6.3a Baden-Württemberg Regional Ecosystem Business assessment Recommendations Result description This report includes the first session of business assessment (M15) complemented by a further analysis for lessons learned and recommendations
 D7.3a Norte Regional Ecosystem Business Assessment and Recommendations Result description This report includes the first session of business assessment (M15) complemented by a further analysis for lessons learned and recommendations
 D8.3a Rhône-Alpes Regional Ecosystem Business assessment and Recomm. Result description This report includes the first session of business assessment (M15) complemented by a further analysis for lessons learned and recommendations
 D5.3a Euskadi Regional Ecosystem Business Assessment and Recommendations Result description This report includes the first session of business assessment (M15) complemented by a further analysis for lessons learned and recommendations
 Lessons learned Taxon title Lessons learned

HORSE | Smart integrated Robotics system for SMEs controlled by Internet of Things based on dynamic manufacturing processes

11-01-2015

-

31-07-2020

Show more information
Comments Lessons learned Significant innovations and lessons learned, training aspects HORSE developed not only technologies, but also methodologies and approaches that have been tested and can be resused
 Outline of evidence of deployment, techno-economic study and lessons learned Result title Outline of evidence of deployment, techno-economic study and lessons learned Result description Final techno-economic study and lessons learned report based on project consequences measurement, deployment evidence and relevant feedback.
 Lessons learned Taxon title Lessons learned

COMPOSITION | Ecosystem for Collaborative Manufacturing Processes _ Intra- and Interfactory Integration and Automation

01-09-2016

-

31-08-2019

Show more information
Comments  Digital Factory Modelling Components (CERTH) Lessons learned Significant innovations and lessons learned, training aspects See also
 Lessons Learned and updated requirements report I Result title Lessons Learned and updated requirements report I Result description A public report, led by IN-JET, documenting the Lessons Learned and updating the initial requirements
 Lessons Learned and updated requirements report II Result title Lessons Learned and updated requirements report I Result description A public report, led by IN-JET, documenting the Lessons Learned and updating the initial requirements
 Lessons learned Taxon title Lessons learned

Factory2Fit | Empowering and participatory adaptation of factory automation to fit for workers

01-10-2016

-

30-09-2019

Show more information
 White paper - Human-centred factories from theory to industrial practice. Lessons learned and recommendations Result title Lessons learned and recommendations Result description This paper forms a review of the lessons learned from the point of view of five EU funded H2020 research projects (A4BLUE, Factory2Fit, INCLUSIVE, HUMAN and MANUWORK, 2016-2020), working in parallel and
 Knowledge-workers and operators Taxon description Lessons learned and recommendations.

MANUWORK | Balancing Human and Automation Levels for the Manufacturing Workplaces of the Future

01-10-2016

-

31-03-2020

Show more information
 White paper - Human-centred factories from theory to industrial practice. Lessons learned and recommendations Result title Lessons learned and recommendations Result description This paper forms a review of the lessons learned from the point of view of five EU funded H2020 research projects (A4BLUE, Factory2Fit, INCLUSIVE, HUMAN and MANUWORK, 2016-2020), working in parallel and

PreCoM | Predictive Cognitive Maintenance Decision Support System

01-11-2017

-

28-02-2021

Show more information
Comments Cybersecurity ICT performance characteristics Occupational safety and health Manufacturing performance characteristics Social sustainability Skills and training aspects Significant innovations and lessons
 Foresee Cluster - Predictive maintenance technologies for production systems. A roadmap to development and implementation. Result description This white paper presents a review of the lessons learned from the point of view of six EU funded H2020 research projects (PRECOM, PROPHESY, PROGRAMS, SERENA, UPTIME and Z-BREAK), funded under the topic
 Knowledge-workers and operators Taxon description Lessons learned and recommendations.

COALA | COgnitive Assisted agile manufacturing for a LAbor force supported by trustworthy Artificial Intelligence

01-10-2020

-

30-09-2023

Show more information
 Lessons Learned from Designing and Evaluating CLAICA: A Continuously Learning AI Cognitive Assistant Result title Lessons Learned from Designing and Evaluating CLAICA: A Continuously Learning AI Cognitive Assistant
 Change management process for human-AI collaboration - final Result description The extension of D51 including any process changes and the experiences and lessons learned

A4BLUE | Adaptive Automation in Assembly For BLUE collar workers satisfaction in Evolvable context

01-10-2016

-

30-09-2019

Show more information
Comments Skills and training aspects Significant innovations and lessons learned, training aspects Adaptive on-the-job assistance and guiding personalised to workers' profiles and skills thorugh Augmented
 White paper - Human-centred factories from theory to industrial practice. Lessons learned and recommendations Result title Lessons learned and recommendations Result description This paper forms a review of the lessons learned from the point of view of five EU funded H2020 research projects (A4BLUE, Factory2Fit, INCLUSIVE, HUMAN and MANUWORK, 2016-2020), working in parallel and
 Knowledge-workers and operators Taxon description Lessons learned and recommendations.

INCLUSIVE | Smart and adaptive interfaces for INCLUSIVE work environment

01-10-2016

-

30-09-2019

Show more information
Comments learned, training aspects RP 2.1 Flexible and reconfigurable Machinery and Robots FoF Partnership SRIA Research priorities Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and machines
 White paper - Human-centred factories from theory to industrial practice. Lessons learned and recommendations Result title Lessons learned and recommendations Result description This paper forms a review of the lessons learned from the point of view of five EU funded H2020 research projects (A4BLUE, Factory2Fit, INCLUSIVE, HUMAN and MANUWORK, 2016-2020), working in parallel and
 Knowledge-workers and operators Taxon description Lessons learned and recommendations.
Powered by Chris Decubber BV