'Modern technology and knowledge assurance are necessary for future-proof operations'

Industry is implementing new manufacturing techniques to increase both the efficiency and quality of production processes. Innovations such as automation and artificial intelligence not only help reduce costs but also provide solutions to the growing labor shortage.

With inline and online sensors for pH and oxygen, as well as other process analyzers, this trend is also readily apparent. The move from analog to digital sensor technology has led to measurement systems that generate detailed diagnostic data. This data makes it possible to accurately monitor the status and performance of the measurement, allowing for faster detection and resolution of malfunctions. In addition, this information, combined with advanced algorithms, can be used for predictive maintenance in which maintenance is proactively planned.

At the same time, knowledge is increasingly shifting from the user to suppliers and other external parties, raising questions about the balance between technology use and internal expertise. This may be partly due to staff shortages and an aging population. It is therefore questionable whether it is healthy for companies to become more and more dependent on external parties for their knowledge and technical support. Automated measurement systems allow sensors to be cleaned and calibrated automatically without interrupting or disrupting the process. This reduces the need for routine maintenance, leading to direct savings for maintenance departments. This gives technicians more space to focus on more complex and valuable tasks, which not only increases productivity but also allows for the development and retention of specialized knowledge within the company.

Thus, it remains critical that employees remain well-trained and do not rely solely on algorithm outcomes. Although technology provides powerful support, human expertise is essential for correctly interpreting data and making decisions. Automating precisely the routine tasks creates more time for employees to deepen their knowledge and use technology effectively as a tool, without becoming completely dependent on automation.  

Martin Hoogedoorn
Business Unit Manager Process at Elscolab