On Tuesday 5 February, EeZZer took part in the Machining 2019 day. The theme of this day was “The Digital (R) evolution in Machining: Digitization 4.0”. In addition to the interesting contacts we have gained, we also participated in the final debate on the subject of “the human factor”. We have been able to shed some light on a number of very interesting propositions, which you can find below the photos.
Final Debate Statements
Do you need fewer professionals because of digitization?
No! You still need the same professionals, but their job function will get a different content. The amount of work shifts from operating machines to controlling the process. In addition, the experience that these professionals have can hardly be replaced by digitization.
Digitization “forces” the machiner to become a process engineer.
Forcing is a big word, but the content of the job of a machiner will change towards a process-transcending role. Not only in this industry but in many other industries / branches you can also see this change from more operational work to process related work.
How should trainers anticipate this changing role of the machiner?
Trainers should seek a better match with what is being asked in practice. Very often there is a mismatch of what is being learned compared to what is being asked in the workplace. A solution for this is to allow teachers/people from an educational institution to work in the workplace. This provides the trainers with a clearer picture of what will actually be asked of the students.
Retaining and safeguarding knowledge is important to maintain / strengthen the competitive position of companies. Digital collaboration and knowledge sharing are indispensable components.
AGREE! It is especially important to transfer the knowledge of the older generations (employees who retire, for example) within an organization to the younger generations. The digitization that you can make with EeZZer, among other things, makes it possible to quickly identify where the knowledge within an organization is good and where it is not. This makes it possible to be able to observe which knowledge and expertise your organization will soon emit so that timely steps can be taken to prevent this.