Problem Energy-intensive industries — such as chemical plants, cement factories, and foundries — are under pressure from rising energy prices and the need to improve efficiency. Most facilities still rely on static schedules and manual data analysis to control consumption, resulting…
Not a toy – VR and AR in industrial training and service
Problem An international wind turbine service company faced high training costs and long onboarding times for new employees. The existing training process lacked effectiveness in transferring technical skills, which impacted service quality and response times. Goal Optimize employee training and field…
Electronics manufacturer automated the packaging process
Problem An electronics parts manufacturer identified inefficiencies in the packaging process. Each shift required five operators, leading to high operational costs and frequent human errors. The process needed modernization to boost efficiency and reduce costs. Goal Automate the packaging process to…
Big Data and analytics improved a food producer’s logistics
Problem A food manufacturer struggled with delivery delays and high transportation costs. The lack of route optimization and real-time fleet data led to inefficiencies in planning and operations. Goal Shorten delivery times, identify optimal routes, and reduce fuel costs. The next…
Digital Twin in chemical manufacturing: process optimization without risk
Problem A chemical manufacturer struggled with limitations in the mixing process – any change to parameters carried the risk of reduced product quality or increased costs. Testing improvements on live production lines was expensive and time-consuming. Goal Increase the efficiency of…
Predictive Maintenance: anticipating machine failures in an FMCG factory
Problem A food production plant faced repeated issues on its packaging line, where machine failures caused frequent downtime. High repair costs combined with reduced output resulted in double financial losses. Goal Minimize losses caused by machine failures and production stops. Increase…
Smart machine monitoring in an automotive factory using Internet of Things (IoT)
Problem Frequent, unplanned production line stoppages caused by machine failures. Lack of data made it impossible to identify root causes, extending repair times and increasing costs. Goal Improving production line efficiency and minimizing unexpected downtime. Story A car parts manufacturer was…