EFFRA Innovation Portal

Supporting Data Analytics in Manufacturing with a Digital Assistant

Project: COALA

Updated at: 31-03-2024

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Title Supporting Data Analytics in Manufacturing with a Digital Assistant

Data analytics in quality 4.0: literature review and future research directions

Project: COALA

Updated at: 31-03-2024

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Title Data analytics in quality 4.0: literature review and future research directions

Predictive Maintenance

Project: Machining 4.0

Updated at: 28-03-2024

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Description The application of analytics techniques to this massively growing data flow can generate substantial benefits as valuable information can be quickly extracted and used to achieve in-depth understanding

Cloud-based data management system - Public Version

Project: iWAYS

Updated at: 26-03-2024

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Title Cloud-based data management system - Public Version
Description to ensure the security, sanity and reliability of the acquired data-Data analytics for the optimum operation (Artificial Intelligence) of the water loops-Data integration and curation models to prepare

Big Data Collection and Analytics platform and Analytics report

Project: EnerMan

Updated at: 28-02-2024

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Title Big Data Collection and Analytics platform and Analytics report
Description This deliverable contains the Big Data Collection and Analytics platform and Analytics report for EnerMan

D5.2 Big data mining and analytics tools II

Project: COMPOSITION

Updated at: 13-02-2024

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Title D5.2 Big data mining and analytics tools II
Description The interactive Visual Analytics tool imports data from Data Analytics tools of the project and based on this data it applies visualization techniques and presents the output to the users as graphical

D3.3 Digital Factory Model II

Project: COMPOSITION

Updated at: 09-02-2024

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Description Information related to manufacturing systems, available factory processes, factory resources and real time events from the analytics tools should be available to many COMPOSITION components.

Visual Analytic Tool

Project: COMPOSITION

Updated at: 09-02-2024

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Description The VA feeds the COMPOSITION Decision Support System with analytics results.

Customizable CIGS flexible solar foil (Roll-to- Roll), PV manufacturing line

Project: Platform-ZERO

Updated at: 09-02-2024

Smart coatings for PV applications, PV manufacturing line

Project: Platform-ZERO

Updated at: 09-02-2024

D2.4 The COMPOSITION architecture specification II

Project: COMPOSITION

Updated at: 08-02-2024

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Description analytics and deep learning as well as a trusted framework based on blockchain technology.

D7.9 Lab scale use case deployment with lessons learnt II

Project: COMPOSITION

Updated at: 08-02-2024

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Description •Authentication Big Data Analytics BlockChain Connector Commissioning System Deep Learning Toolkit Intrafactory Interoperability Layer Manufacturing Big Data Storage Manufacturing Decision

D5.10 Intrafactory interoperability layer II

Project: COMPOSITION

Updated at: 08-02-2024

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Description analytics using LinkSmart®(section 5) ensuring the security of each sub component as defined in section 7.

D3.9 Manufacturing Decision Support System II

Project: COMPOSITION

Updated at: 07-02-2024

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Description The DSS system providesfeedback at fixed and mobile terminals in attractive communication interfaces and visualise KPIs and real-time data analyticsIn this deliverable an analysis of the current State

D5.1 Big data mining and analytics tools I

Project: COMPOSITION

Updated at: 07-02-2024

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Title D5.1 Big data mining and analytics tools I
Description A public software deliverable, led by Fraunhofer, featuring the Big data mining and analytics tools The manufacturing industry is being disrupted in what is already known as the 4th industrial revolution

Predictive Maintenance demonstrator in lot-size-1 manufacturing furniture domain

Project: EFPF (European Factory Platform)

Updated at: 01-02-2024

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Description The Analytics component monitors these data and builds up a machine learning model.

Pilot - WHR Dryer Factory Holistic Quality Platform

Project: QU4LITY

Updated at: 01-02-2024

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Description These performance indicators may be evaluated by analysing and computing measured data from the materials forming this function, the process realizing the function or even by the directly measured data

Pilot - SIEMENS SIMATIC Products Quality Improvements

Project: QU4LITY

Updated at: 01-02-2024

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Description Data from control loops throughout the manufacturing lines are to be collected and analysed via data mining and machine learning techniques, allowing to systematically identifying faulty products and the

Pilot - PRIMA Additive Manufacturing Pilot Adaptive Control Technology

Project: QU4LITY

Updated at: 01-02-2024

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Description Traditional solutions and new concepts of machines will be considered to test new edge devices for process control, towards a ZDM result, and to work on data management and analytics to implement the whole

Pilot - PHILIPS OneBlade shaving unit production line

Project: QU4LITY

Updated at: 01-02-2024

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Description influence on the dimensional CTQ that is under observation increases OEE A and P by helping the operator to take correct process adjustment decisions, reduces Fall Off Rate (FOR) by learning from unknown data

Pilot - KOL’s Real-time injection moulding process monitoring-control

Project: QU4LITY

Updated at: 01-02-2024

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Description Based on the collected data and by applying control loops, advanced analytics and artificial intelligence methods we will better understand the moulding process and will be able to detect anomalies and