As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
Since the framework conditions of manufacturing companies change dynamically, production control must react to this and be adaptive and dynamically designed. Our article addresses the status quo of industrial production management systems in the context of advancing digitization. The aim is to examine the extent to which traditional systems for controlling and optimizing production systems have been supplemented by Industry 4.0 concepts. In the course of the scarcity of resources and the shortage of labor, the human factor is once again taking a central role. Against this background, the interaction between users / humans and artificial intelligence applications will be the main focus. The result should give an indication on whether or how this connection must be considered in the future and whether this interaction will play a central role. Furthermore, the possibilities and limitations of AI-based production control systems should be clarified. In addition, the questions of what can and what should artificial intelligence do in the context of production control arise. The findings will be the basis for future considerations of a smart production management system, which can be used for decision support as well as for auto-control.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.