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Investor blog
Improved predictability of processes
Industry 4.0

Data-driven predicting

With people, processes, and technology seamlessly interconnected with data, processes become more predictable. The agility to respond to changes is a key success factor for any company but those who can actually predict disturbances before they happen have a true competitive advantage.

With advanced analytics and data from the market, forecasting the future becomes more accurate. You can control and monitor all your processes in real-time with operative fit-for-purpose solutions.

Greater access to data across the entire supply network highlights where the customer needs are, so you know where to invest.

Inefficient execution and slow reaction to changes can be overcome with better data. Many times, the largest reduction in production costs actually comes after reliable, detailed data has been made available from the factory floor, and further development projects are made according to that data. Enterprise resource planning systems (ERPs) are not designed to control production on a factory floor-level. Our manufacturing execution systems (MES) control where time is actually spent and provide actual real-time data of every transaction and process step.

Line balancing in the factory based on data will guarantee that your resources are not overburdened. Line and work cell balancing is an effective tool to improve the throughput of assembly lines and work cells while reducing manpower requirements and cost.

Simulation and optimization ensure that in rapidly changing circumstances you can be a step ahead and find the best possible outcome beforehand for different scenarios. Without playing out scenarios of what could happen you are ill-prepared for the nitty-gritty of a sudden shock to the supply network. Larger orders or new customer demands can be simulated and preparations can be made for changing conditions, like additional shifts or increased capacity.

However, issues will emerge in any case. The failure of a key supplier can be disruptive; and as a result, impact revenue. Such situations are easier to handle in a team environment where people have the data to see what went wrong and are empowered to act upon the findings from the data. To keep on top of your supplier network, you need a system in place to measure, improve and, if necessary, replace partners.