Manufacturing Systems

At Ljusström, we bring integrative analytics—from advanced statistical methods to Generative AI—to manufacturing systems where precision matters most. We specialize in Predictive Maintenance and Research and Development, two areas that demand both technical rigor and deep domain expertise.

Predictive Maintenance

Manufacturing companies rely on their equipment to remain operational during production. As components wear out, the risk of failure increases—leading to system breakdowns and costly unscheduled production stops. Predictive Maintenance combines historical and real-time system data with Statistics and Machine Learning to prevent these failures before they happen.

At Ljusström, we begin by analyzing the properties of the system and the data it generates. Since every system is unique, there's no one-size-fits-all solution. Bayesian Inference, Hidden Markov Models, Deep Learning, and Survival Analysis are some of the methods in our toolbox. We also design technology that helps users actively learn from and interact with their data—expanding understanding and improving system reliability in real time.

Research and Development

Research and Development increasingly relies on Integrative Analytics, especially for manufacturers of cutting-edge equipment. High-precision mining systems, electronics manufacturing, advanced robotics—these products generate highly complex data with intricate dependency structures and high dimensionality.

We develop solutions that combine testing data, scientific methods, and technology for automated system evaluation. By integrating real-world testing with analytical rigor, we help R&D teams accelerate their development cycles and deliver better products to their customers.