Own development model for Integrated Management of Technological Innovation.
Prognostic based realiability analysis for maintenance scheduling
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 machine and robots degrades 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. The best solution to this problem would be to know at every time the real deterioration status of each piece of equipment. This knowledge would allow to select and schedule the best moment for maintenance, right before a component breaks or leads to unacceptable performance for the system/production chain of which it is part of.
The three main PROGRAMS objectives are:
1.to develop a model-based prognostics method (integrating the FMECA and Prognostics and Resources Management) for the smart prediction of equipment condition;
2.to develop a novel MDSS tool for smart industries maintenance strategy determination and resource management;
3.to integrate ERP support and to introduce an MSP (Maintenance Service Platform) tool to share information between involved personnel.
The proposed approach will have an important impact especially on the SME sector, where the need for flexibility, production efficiency and strategies optimization analysis often meets resource limitation, localized knowledge gap and lack of available tools.
The main benefits of the project outcomes are expected along the following lines:
• Increased Availability and Overall Equipment Effectiveness
• Continuous monitoring of system components criticality
• Creation of physical-based models of the components which have a higher criticality level
• Selection of optimal strategies for the maintenance activities
• Integration of maintenance and production activities minimizing overall LCC
• Provision of robust and customizable data analysis services
• Development of an Intra Factory Information Service
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Electronics and ICT as enabler for digital industry and optimized supply chain management covering the entire product lifecycle
