Mipu’s data-driven approach combined FMECA methodology, field walkthroughs, and predictive maintenance feasibility studies to develop optimized maintenance plans with detailed technical instructions, delivering measurable improvements in maintenance effectiveness, asset reliability, and waste reduction.
A leading Italian energy company operating in the Energy & Infrastructure sector and managing cogeneration plants serving two major national airports partnered with Mipu to implement an intelligent monitoring and decision-making system. Faced with the challenge of optimizing energy sources while increasing sustainability and economic performance, the company needed to maximize plant efficiency amid fluctuating energy prices and variable thermal demand.
The project delivered an estimated €1,200,000 economic benefit in the first month of operation, while also enabling early detection of inefficiencies and preventing costly equipment failures, a key advantage for both Energy Managers and Plant Managers.
A cracker production facility achieved 1.5% waste reduction using AI models to optimize manufacturing parameters.
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