Case Study: a leading heat sealing optimization company achieves up to 50% scrap reduction with Simularge’s AI-powered thermal digital twins

Leading Heat Sealing Optimization Company - Customer Case Study

The customer, a leading heat sealing optimization company, faced significant challenges with thermal inconsistencies in its discrete manufacturing processes. This led to high scrap rates, energy waste, and quality fluctuations due to operator-dependent control and variable batch conditions. To overcome this, they partnered with Simularge to implement its AI-powered thermal digital twin service.

Simularge’s solution combined real-time sensor data, physics-based modeling, and artificial intelligence to create an adaptive, operator-independent control system. The platform integrated with ERP data to provide batch-specific optimizations, which stabilized thermal processes and reduced variability. This implementation resulted in a dramatic 50% reduction in scrap and a 10% cut in energy usage, achieving a full return on investment in under six months for the customer.