PROGnostics based reliability analysis for maintenance scheduling

Develop a model-based prognostics method integrating the FMECA and PRM approaches

Cloud-based solutions for RUL evaluation and production/maintenance management

Collect and exploit data relevant to equipment condition from any source available at factory level

Validate PROGRAMS TOOLS on the AURRENAK use case (machine tool maintenance)

PROJECT OVERVIEW

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:

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Increasing Availability and then Overall Equipment Effectiveness through increasing of MTBF, and reduction of MTTR and MDT.

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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.

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Building physical-based models of the components which have a higher criticality level or which status is difficult to monitor.

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Determining an optimal strategy for the maintenance activities.

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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.

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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.

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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.

LATEST NEWS

The use of Digital Twin for predictive maintenance in manufacturing

by Ander Azkarate | Mar 12, 2021 | News & Events | 0 Comments

The paper entitled “The use of Digital Twin for predictive maintenance in manufacturing.” written by LMS has been published the International Journal of Computer Integrated Manufacturing (IJCIM) in 2019. Authors: P. Aivaliotis, K. Georgoulias, G. Chryssolouris...

PROGRAMS project approach to maintenance management

by Ander Azkarate | Mar 12, 2021 | News & Events | 0 Comments

The paper entitled “PROGRAMS project approach to maintenance management” written by the PROGRAMS consortium has been presented at the 4th Advanced Maintenance Engineering, Services and Technologies (AMEST 2020) conference, which was held virtually on September 10-11,...