Smart Digital Solutions for the White Goods Industry
Digitalize your white goods operations end-to-end — from product design to mass production, supply chain to after-sales services. Improve efficiency and reduce costs with AdAstra.
Sector
White Goods
Overview
Digitalize your entire white goods value chain
The white goods industry is constantly transforming with rapidly changing consumer demands, energy efficiency regulations, and intense competitive pressure. AdAstra's integrated digital solutions allow you to manage your entire value chain — from product development and PLM to mass production, quality management to after-sales services — on a single platform.
- Accelerate product development processes with PLM and engineering change management
- Monitor OEE and performance in real time on high-volume production lines
- Ensure compliance with energy label and environmental regulations through digital processes
- Optimize costs by making your supply chain end-to-end visible
- Automate warranty and after-sales service processes
Product Lifecycle & PLM
Digitalize your entire product development process from concept to mass production. Shorten your time-to-market with BOM management, engineering change control, and prototype management.
High-Volume Production & OEE
Maximize efficiency on high-volume production lines with IoT-based monitoring, OEE analysis, and predictive maintenance. Minimize losses and optimize cycle times.
Energy & Environmental Compliance
Document compliance with energy labels (ErP), RoHS, WEEE, and other regulatory requirements through digital processes. Automate sustainability reporting and environmental management.
Capabilities & Solutions
Explore our modular solution areas tailored to your industry
Zero-defect targets in series production with AI
In high-volume white goods manufacturing, we cut defect rates with visual quality control and after-sales predictive maintenance.
- Anomaly-based visual quality control that catches defects via camera on the assembly line
- Defect detection that needs no labeled data — fast onboarding for new models
- Predictive maintenance models trained on after-sales failure data
- Quality prediction from process parameters to reduce scrap
- Demand forecasting that supports series production planning
Visual Quality Control
A learned model that catches defects via camera on the assembly line.
After-Sales Predictive Maintenance
Models trained on failure data recommend maintenance timing.
Quality Prediction
Product quality is predicted during production from process parameters.
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