From Reactive Monitoring to Predictive Control in Chemicals
A chemical industry player partnered with Mipu to introduce artificial intelligence into its production processes.
A chemical industry player partnered with Mipu to introduce artificial intelligence into its production processes.
A paper manufacturing facility implemented an artificial intelligence-based energy orchestrator to coordinate power consumption across multiple production lines.
A paper manufacturing company implemented AI-powered vibration analysis to predict mechanical failures on critical equipment including dryers and cylinders.
Menz & Gasser, an 80-year-old premium fruit preserves manufacturer in northern Italy, partnered with Mipu to transform raw energy data into actionable intelligence.
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.
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