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PROGnostics based Reliability Analysis for Maintenance Scheduling

PROGnostics based Reliability Analysis for Maintenance Scheduling

Objective

The main objectives of this project are to develop a model-based prognostics method integrating the FMECA and PRM approaches for the smart prediction of equipment condition, a novel MDSS tool for smart industries maintenance strategy determination and resource management integrating ERP support, and the introduction of an MSP tool to share information between involved personnel. The proposers' approach is able to improve overall business effectiveness with respect to the following perspectives:
• Increasing Availability and then Overall Equipment Effectiveness through increasing of MTBF, and reduction of MTTR and MDT.
• Continuously monitoring the criticality of system components by performing/updating the FMECA analysis at first implementation or whenever a variation in the system design or composition occurs.
• Building physical-based models of the components which have a higher criticality level or which status is difficult to monitor.
• Determining an optimal strategy for the maintenance activities.
• Creating a new schedule for the production activities that will optimize the overall system performance through a Smart Scheduling tool ensuring collaboration among the MDSS, the ERP and the RUL Estimation tool.
• Providing, in addition to traditional data acquisition and management functions in a machine condition monitoring system, robust and customizable data analysis services by a cloud-based platform.
• An Intra Factory Information Service will be developed to allow the company staff to be quickly informed of changes in the machine tool performances and to easily react to eventual production and maintenance activities rescheduling.

The production and maintenance schedule of complete production lines and entire plants will run with real-time flexibility in order to perform at the required level of efficiency, optimize resources and plan repair interventions.

Programme(s)

H2020-EU.2.1.5.1. - Technologies for Factories of the Future

Topic(s)

FOF-09-2017 - Novel design and predictive maintenance technologies for increased operating life of production systems

Call for proposal

H2020-FOF-2017

See other projects for this call

Funding Scheme

IA - Innovation action
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Coordinator

FIDIA SPA

Address

Corso Lombardia 11
10099 San Mauro Torinese

Italy

Activity type

Other

EU Contribution

€ 479 500

Website

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Participants (12)

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CE.S.I. CENTRO STUDI INDUSTRIALI SRL

Italy

EU Contribution

€ 453 250

BUDAPESTI MUSZAKI ES GAZDASAGTUDOMANYI EGYETEM

Hungary

EU Contribution

€ 400 000

SYM VOULOI KAI PROIONTA LOGISMIKOU AE

Greece

EU Contribution

€ 280 350

SAVVY DATA SYSTEMS SL

Spain

EU Contribution

€ 312 025

IDEKO S COOP

Spain

EU Contribution

€ 462 000

RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN

Germany

EU Contribution

€ 405 397,50

PANEPISTIMIO PATRON

Greece

EU Contribution

€ 603 125

AURRENAK S COOP

Spain

EU Contribution

€ 216 650

DEBBACHE-LAGIOS EE

Greece

EU Contribution

€ 275 625

WE PLUS SPA

Italy

EU Contribution

€ 441 525

CICERO HELLAS SA

Greece

EU Contribution

€ 218 750

UNIVERSITA DEGLI STUDI DI BRESCIA

Italy

EU Contribution

€ 299 500

Project information

Grant agreement ID: 767287

Status

Ongoing project

  • Start date

    1 October 2017

  • End date

    30 September 2020

Funded under:

H2020-EU.2.1.5.1.

  • Overall budget:

    € 5 995 272,50

  • EU contribution

    € 4 847 697,50

Coordinated by:

FIDIA SPA

Italy

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Last update: 14 July 2017

Record number: 211298