{"id":28502,"date":"2023-09-25T12:48:21","date_gmt":"2023-09-25T10:48:21","guid":{"rendered":"https:\/\/bi-rex.it\/portfolio-items\/platform-for-maintenance-optimization-prompt\/"},"modified":"2023-10-10T10:12:06","modified_gmt":"2023-10-10T08:12:06","slug":"platform-for-maintenance-optimization-prompt","status":"publish","type":"avada_portfolio","link":"https:\/\/bi-rex.it\/en\/portfolio-items\/platform-for-maintenance-optimization-prompt\/","title":{"rendered":"Platform for Maintenance Optimization – PROMPT"},"content":{"rendered":"

PROMPT<\/h1><\/div>

Platform for Maintenance Optimization<\/h2>\n<\/div>

<\/i><\/i><\/span>Nature of the project and Objectives<\/span><\/a><\/h3><\/div>
The maintenance of assets and service production facilities has assumed a fundamental role from an economic, qualitative (products and processes) and ethical-social (operator and environmental safety) point of view. The choice of the correct maintenance policy mix<\/strong> is one of the fundamental aspects in achieving efficient maintenance of production assets. The project therefore intends to elaborate and then translate into a software platform<\/strong> an innovative methodological approach that allows companies an integrated and efficient management of all the data of interest on which to apply methods of technical-economic optimisation of policies. PROMPT has the following objectives:<\/p>\n
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  1. to define a complete procedure for the identification of critical components within a complex plant;<\/li>\n
  2. to realise a software platform that supports\/implement the procedure defined in the previous objective;<\/li>\n
  3. to test the platform on the BI- REX Pilot Line;<\/li>\n
  4. to test the platform developed in the previous points on company use cases by the companies participating in the project.<\/li>\n<\/ol>\n<\/div><\/div><\/div>

    <\/i><\/i><\/span>Role played by BI-REX<\/span><\/a><\/h3><\/div>
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