At Songjiang, China, digital manufacturing modelling helped the team redesign a production process to eliminate grits and improve product consistency.
The change reduced filtration and storage challenges, improved viscosity performance, and addressed a source of 60 MT of waste generated in 2024.
This case study shows how process optimization can enhance customer quality, reduce material waste, and support more efficient manufacturing operations.

At our Songjiang site, the team set out to solve a long-standing production challenge for one of our emulsion products. Over time, the product was prone to forming small particles called “grits,” which made filtration more difficult, created temporary storage issues, and led to increased amounts of waste, 60 MT in 2024 alone.

The team, using digital manufacturing modelling, redesigned the process to mix components more smoothly and at the optimal point. This simple change dramatically improved how quickly the product dispersed—eliminating the grits and solving the viscosity problems.

The improvement has already delivered significant benefits: sharper product quality fully meeting customer needs, less waste and fewer materials used.

This project is a strong example of how local teams continue to strengthen operations through digital process modelling, questioning long-standing practices, understanding root causes, and finding practical solutions that benefit both the customer and the environment.

Songjiang Process Optimization Improves Product Quality and Cuts Manufacturing Waste