Project description
Smart prediction of assembly line maintenance
Factory assembly lines rely on the performance of equipment. If one part falters or breaks down, the manufacturing process is disrupted, costing valuable time and money. Methods of routine maintenance and urgent repair response only serve to reduce disruption time, but do not prevent it. The EU-funded PROGRAMS project aims to develop an innovative AI-based tool that will predict the remaining useful life of equipment and components. The prognostic maintenance tool will continuously monitor critical systems, foresee maintenance activities and reschedule the production line accordingly, while notifying staff of any changes. It could prove particularly cost-effective for SMEs operating with a low maintenance budget.
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.
Fields of science
- natural sciencescomputer and information sciencesdata science
- natural sciencescomputer and information sciencessoftware
- engineering and technologymechanical engineeringmanufacturing engineeringsubtractive manufacturing
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- social scienceseconomics and businesseconomicsproduction economics
Programme(s)
Funding Scheme
IA - Innovation actionCoordinator
265 04 Rio Patras
Greece