Case Study - SFS

SFS produces high-quality components for demanding industries such as automotive, aerospace, and medical technology at high-volumes. They have previously invested in data collection initiatives and started realizing measurable benefits.

Increasing margin pressure and tight order deadlines make it essential to quickly reach stable and high yield during ongoing production and especially ramp-up periods to avoid costly overproduction. At the same time the growing volume of data makes it increasingly difficult to extract business critical insights. Think more than 200 influence factors per produced part.

SFS decided to use Ethon and help its engineering team identify complex root causes with greater reliability, supported by custom live dashboards for fast actions. In collaboration with Ethon's dedicated forward deployed team, a small group of engineers committed one day per week to establish live streaming of the production data and test the solution until go-live.

Labor shortage resilience: By embedding domain knowledge into the software setup provided by experienced engineers, junior engineers drive line improvements without requiring decades of experience.

Data that drives ROI: Causal AI not only pinpoints root causes but also shows where additional data will deliver the greatest business value, helping prioritize and maximize data investments.

Productivity on autopilot: Ongoing innovation with Ethon’s fast development cycles and strong product roadmap. SFS is already looking forward to productivity gains from increased automation with AI agents.