Integrating maintenance and energy problems through a Digital Twin-based decision support framework under the guidance of Asset Management

In a world where more than one third of the global energy consumption is directed to the industry sector, manufacturing companies must overhaul their business processes to move towards the improvement of sustainable performance. This work aims to contribute to this direction by integrating maintenance and energy problems through a Digital Twin-based decision support framework under the guiding role of Asset Management. The framework is meant as guideline for manufacturing companies to manage the integrated decision-making process and the related information flows and functional blocks. Maintenance or energy policies should consider both maintenance and energy objectives, handling the complexity and knowledge required for such an integration. A focus is given to the maintenance policy setting at the current release of the framework. This latter is tested and validated by an initial proof in a laboratory setting. In the future, it should be evaluated in its benefits within an industrial case.