Smart process manufacturing

Shaping markets instead of managing processes


Process manufacturing is one of the supreme disciplines for planning corporate resources. In hardly any other industry are more plants, equipment, locations, process steps, raw materials, shareholders and systems networked. At the same time, the time-to-market phase is becoming shorter and shorter, regulations are becoming stricter and customer requirements for delivery times and individual recipes are becoming ever higher. Companies in the process industry are therefore challenged more than almost any other industry to invest in the automation of their production and the digitalisation of their processes.

Whether in the pharmaceutical, chemical, food or cosmetics industries - modularity is the order of the day for process manufacturers. Under these conditions, centralised process control systems, in which all actuators and sensors of process automation converge, are just as outmoded as immobile, monolithic ERP systems. Lengthy adaptation and testing phases of new plants, process steps and software applications force companies to run behind the market dynamics instead of helping to shape them.


Data helps optimise processes and increase efficiency

Digital technologies are virtually predestined to network, structure and make transparent the complex system of process manufacturing with countless interfaces and interacting systems.

At the same time, they give you the tools for the holistic monitoring and visualisation of all company processes, the optimisation of production, material and batch management as well as the forecasting of future developments. Last but not least, a future-oriented digitisation strategy inevitably leads to an uncompromising customer centricity of the entire organisation. This opens up numerous opportunities for agile companies to develop new business models. An open, cloud-based ERP system forms the basis for the scalable networking of process level, customers, supply chain and the Internet of Things.


Use cases in process manufacturing


Use case digital twin

Digital twins of machines and plants are created from the engineering data to simulate manufacturing processes. The advantages: faster time-to-market, more efficient and cost-effective production.


Container logistics use case

Intelligent sensor technology optimises container logistics in interaction with IoT. Sensors constantly report data on fill level measurement, location, environmental conditions and product quality. Cloud-based applications are used, for example, to optimise container movements or provide real-time data for intralogistics, customers and suppliers.


Use case material planning

The more individual the recipes, the greater the effort required for just-in-time provision of the necessary raw materials. Customer-centred and consistently automated processes, starting with order entry, allow the forward planning of material quantities and the storage of intelligent ordering routines.


Are you planning a specific digitisation project for your process manufacturing?

From the digitalisation workshop to the complete implementation of digital technologies, NXTGN is your sparring partner for digital transformation. Benefit from our years of expertise in the process industry! Arrange a non-binding appointment right away!