In a move to modernize operations and enhance efficiency, Indofen Furnaces LLP, an Indian manufacturer specializing in advanced furnace systems for the aluminum recycling and die casting industry, has adopted Siemens' Industrial Edge solution. This deployment is part of a broader strategy to drive digital transformation within the sector.
The integration of edge computing and real-time analytics has allowed Indofen to improve operational transparency, process control, and decision-making speed. The solution optimizes fuel usage, reduces unplanned downtime, and maintains consistent product quality while adhering to environmental standards.
"Siemens Performance Insight provides our customers a comprehensive view of furnace performance – including production data like metal charging and metal bale-out, fuel usage, temperature through real-time data, enabling operational transparency and swift informed decision-making," said Ezhil Kumar, Managing Director of Indofen.
Suprakash Chaudhuri from Siemens Limited highlighted the importance of digitalization in India's manufacturing sector. "This collaboration is a great testimony to how the Siemens Xcelerator portfolio is enabling India’s small and medium enterprises to thrive in a digital-first economy by delivering scalable, intelligent, and future-ready solutions."
Yusuf Gündüz from Siemens AG emphasized the role of data in improving efficiency and sustainability. "The collaboration between Indofen and Siemens is one of the best references of how operators improve their processes based on the data generated from their installation."
Siemens Performance Insight is part of the Siemens Xcelerator portfolio aimed at accelerating digital transformation across industries. For sectors like aluminum recycling where energy intensity and quality control are challenges, such solutions offer pathways to sustainable growth.
Key benefits for this sector include operational transparency through real-time monitoring; energy efficiency with reduced fuel consumption; minimized downtime via predictive alerts; scalability without compromising quality; and enhanced regulatory compliance through improved traceability.