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Innovation

Prescriptive Analytics information system for Proactive Industrial Maintenance Decision Making

Market Maturity

Business Ready: More about market maturity categories

Innovation topic

Other

Date of analysis

Innovation Radar's analysis of this innovation is based on data collected on 22/03/2019

Go to market needs

Needs that, if addressed, can increase the chances this innovation gets to (or closer to) the market incude:

  • Prepare for Market entry
  • Secure capital
  • Market Creation Potential

    This innovation was assessed by the JRC’s Market Creation Potential indicator framework as having a “Noteworthy” level of Market Creation Potential. Only innovations that are showing multiple signals of market creation potential are assigned a value under this indicator system.

    Project

    This innovation was developed under the Horizon 2020 project UPTIME. Details of this project are provided below:

    Project acronym: UPTIME

    Project Title: UNIFIED PREDICTIVE MAINTENANCE SYSTEM

    Project description: UPTIME will seek to reframe predictive maintenance strategy by proposing a unified framework and to create an associated unified information system in alignment to the aforementioned framework. Therefore, UPTIME will extend and unify new digital, e-maintenance services and tools in order to exploit the full potential of a predictive maintenance strategy with the UPTIME solution, will deploy and validate the UPTIME solution in the manufacturing companies participating in the UPTIME consortium and will diffuse the UPTIME solution in the manufacturing community. UPTIME will enable manufacturing companies having installed sensors to fully exploit the availability of huge amounts of data with respect to the implementation of a predictive maintenance strategy. Moreover, production, quality and logistics operations driven by predictive maintenance will benefit from UPTIME. UPTIME will enable manufacturing companies to reach Gartner’s level 4 of data analytics maturity (“optimized decision-making”) in order to improve physically-based models and to synchronise maintenance with quality management, production planning and logistics options. In this way, it will optimize in-service efficiency through reduced failure rates and downtime due to repair, unplanned plant/production system outages and extension of component life. Moreover, it will contribute to increased accident mitigation capability since it will be able to avoid crucial breakdown with significant consequences. Consequently, UPTIME will exploit the full potential of predictive maintenance management and its interactions with other industrial operations by investigating a unified methodology and by implementing a unified information system addressing the predictive maintenance strategy.

    Project end date: 31/08/2020

    More info:

    • Read more about this project on CORDIS (find names of contact persons and their phone numbers on the CORDIS page)

    • Details of this project on the Horizon 2020 dashboard

    Key Innovator(s)

    INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS

    ATHINA, GR

    Higher Education Institute / Research Centre