The WAND project aims to develop a platform for achieving near-zero defect manufacturing in plastic injection molding. This platform will analyze data from different sources and will use data-driven prediction and optimization technologies to increase equipment productivity and product quality, reduce ramp-up time and manufacturing defects, and lower energy costs. The project will involve the following activities: • Designing a modular framework with an interface to multiple data sources (e.g. signal, imagery, 3D-scan etc.). • Installing sensor hardware and conducting testing at the end-user site • Developing software that interfaces with target machines and sensors, with both backend-frontend components. • Providing users with tools for data exploration, optimization, what-if scenarios, and changes in KPIs. • Leveraging AI/ML techniques to analyze and make predictions from high volume, unstructured data in real-time. The WAND aims to improve plastic injection molding operations through data-driven insights and optimization.


Tekkan Plastik Sanayi ve Ticaret A.Ş.


Cavity Eye Hungary Ipari es Kereskedelmi Korlatolt


University of Gavle

AMiquam SA

Rotorbit Engineering Software and Consultancy Industry and Trade LLC