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PROGnostics based Reliability Analysis for Maintenance Scheduling

Fact Sheet

Reporting

Results

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

Private for-profit entities (excluding Higher or Secondary Education Establishments)

EU Contribution

€ 479 500

Website

Contact the organisation

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

PROGRAMS

Grant agreement ID: 767287

Project website

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

Periodic Reporting for period 1 - PROGRAMS (PROGnostics based Reliability Analysis for Maintenance Scheduling)

Reporting period: 2017-10-01 to 2019-03-31

Summary of the context and overall objectives of the project

Considering the increasing manufacturing plant size and complexity, unassisted maintenance management is becoming a losing strategy. Intense and global competition forces industries toward the maximal exploitation of their available resources, including equipment. However, the almost uninterrupted use of machines and robots reduces their performances and leads to an increased insurgence of breakages and failures. In turn this leads to higher costs due both to machine unavailability and expensive repair interventions.
An optimal solution to this problem should be based on the knowledge of:
1) the reliability of the components, the costs associated to maintenance and the impact each failure mode has on the whole production equipment. Such knowledge should be sought to select the optimal maintenance strategies and policies for each component.
2) the remaining useful life of each component of the production equipment, that should be sought to determine the best moment for maintenance, right before a component breaks or leads to unacceptable performances of the system / production chain of which it is part of.

PROGRAMS aims to develop methods and technologies that gather and exploit this knowledge to maximize the overall plant availability and minimize the maintenance costs. The main solutions offered by PROGRAMS are:
1) an easy to install hardware system to collect process data and exploit them at machine level;
2) several alternative Remaining Useful Life (RUL) computation methods (including a model-based prognostics method and a data driven approach) for the smart evaluation of equipment conditions;
3) a support tool to speed up the FMECA deployment;
4) a tool for reliability parameters estimation of components based on maintenance reports;
5) a novel Decision Support System (DSS) tool for optimal maintenance strategy determination;
6) a tool for merging maintenance and production schedules with integrated ERP support;
7) a platform to share maintenance and machines related information between involved personnel.

The proposed solutions will be combined into a seamless suite of software solutions that will demonstrate how an integrated approach to the maintenance management can actually lower the costs that a company must face.

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

programs-picture-2019-04-04-4430px.jpg

Project information

PROGRAMS

Grant agreement ID: 767287

Project website

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

Deliverables

Deliverables not available

Publications

Publications not available

Datasets

Datasets via OpenAire

PROGRAMS project. Axis test on FIDIA DL155 on 2019-02-28

Author(s): Michele Surico

Published in: Zenodo

PROGRAMS project. Axis test on FIDIA Cortini L300 on 2019-05-21

Author(s): Michele Surico

Published in: Zenodo

Project information

PROGRAMS

Grant agreement ID: 767287

Project website

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

Project information

PROGRAMS

Grant agreement ID: 767287

Project website

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

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Last update: 21 June 2019

Record number: 211298

CORDIS

Objective

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Participants (12)

Project information

Periodic Reporting for period 1 - PROGRAMS (PROGnostics based Reliability Analysis for Maintenance Scheduling)

Project information

Deliverables

Publications

Datasets

Project information

Project information

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