Introduction
The dynamic development of manufacturing technologies, such as Industry 4.0, automation, or advanced data analytics, requires companies to invest not only in modern tools but also in the digital competences of their employees. Even the best-designed systems will not deliver the expected benefits without an adequately prepared team.
In this article, we will discuss why training and the development of digital competences are crucial for the successful implementation of new technologies in manufacturing plants, and what approach yields the best results.
Why are digital competences crucial for manufacturing transformation?
Technology alone is not enough
Modern manufacturing plants use analytical systems, the Internet of Things (IoT), artificial intelligence, and advanced robotics. However, tools alone do not guarantee increased efficiency – it is people who decide how they will be used. A lack of appropriate digital competences can lead to the misuse of modern technologies, resulting in incorrect operational decisions, wasted resources, and inefficient production processes.
Unadapted internal processes and a lack of cooperation between departments (e.g., production, IT, management) further hinder the integration of new technologies into daily operations.
Mindset shift and adaptation
Digitalisation requires a shift in the approach to data and process management. Employees must not only know how to operate new systems but also understand how to use data to optimise production. Flexibility, openness to change, and an organisational culture that supports continuous improvement and experimentation with new technologies are essential for successful digital transformation.
What digital competences are essential?
Data analytics and interpretation of results
Production data provided by systems such as iPLAS enables ongoing performance analysis, bottleneck detection, and failure forecasting. It is crucial that managers and operators are able to interpret this information, make accurate operational decisions, and use trend analysis for long-term production planning.
Operation of digital systems
Modern manufacturing management systems integrate data from multiple sources – from machines and automated processes to manually entered data. The ability to use user interfaces such as SCADA, MES, or ERP is crucial for effective management and reporting of production results.
Cybersecurity basics
In the era of cloud computing and online data storage, knowledge of cybersecurity principles is indispensable. Employees must be aware of threats, know how to manage data access, and apply practices that secure systems against hacker attacks, phishing, and malware.
An effective approach to training – how to ensure the success of transformation?
Tailoring training to different groups of employees
Training should be tailored to the specific needs of individual groups of employees. Managers can benefit from strategic workshops and data analysis courses, operators from practical training on simulators, and IT teams from interactive online courses on systems integration and cybersecur
