Process optimization with Operational Excellence 4.0

With Big Data Analytics, you can unlock greater potential for process optimization across your plants. Simulations with Digital Twins enable you to determine the optimal operation of your plant in a safer environment. With Automated Machine Learning, you can continuously monitor your processes, perform real-time optimizations, and finally regulate your plant online with an AI-based optimizer.

Our Operational Excellence 4.0 program is modular and cost-efficient. It can be tailored to your individual requirements and also integrates existing Big Data Analytics activities. Through a holistic approach, out-of-spec production is reduced, raw material and energy use is minimized, and efficiency is increased.

The starting point of a Big Data project is, among other things, the accurate calculation of manufacturing costs. Data-driven modelling can be used to identify the relevant changeable parameters and their impact on the outcome of a process. In the next step, our optimizer determines those changeable parameters that can be used to minimize the costs of each case without compromising quality.

Sustainable value creation primarily focuses on the efficient use of resources and raw materials, the reduction of energy consumption and CO2 emissions, as well as increasing product quality while lowering manufacturing costs. By using Big Data Analytics and AI, you can make quick, evidence-based decisions to increase your efficiency, safety and sustainability.