Process mining (PM) has established itself in recent years as a main method for visualizing and analyzing processes. However, the identification of knowledge has not been addressed adequately because PM aims solely at data-driven discovering, monitoring,… (mehr)
Künstliche Intelligenz (KI) gewinnt in zahlreichen Branchen rasant an Bedeutung und wird zunehmend auch in Enterprise Resource Planning (ERP)-Systemen als Anwendungsbereich erschlossen. Die Idee, dass Maschinen die kognitiven Fähigkeiten des Menschen… (mehr)
Faced with the triad of time-cost-quality, the realization of knowledge-intensive tasks at economic conditions is not trivial. Since the number of knowledge-intensive processes is increasing more and more nowadays, the efficient design of knowledge transfers… (mehr)
Since more and more business tasks are enabled by Artificial Intelligence (AI)-based techniques, the number of knowledge-intensive tasks increase as trivial tasks can be automated and non-trivial tasks demand human-machine interactions. With this, challenges… (mehr)
As the complexity of learning task requirements, computer infrastruc- tures and knowledge acquisition for artificial neuronal networks (ANN) is in- creasing, it is challenging to talk about ANN without creating misunderstandings. An efficient, transparent… (mehr)
Künstliche Intelligenz ist in aller Munde. Immer mehr Anwendungsbereiche werden durch die Auswertung von vorliegenden Daten mit Algorithmen und Frameworks z.B. des Maschinellen Lernens erschlossen. Unter Maschinellem Lernen (ML) verstehen die Autoren… (mehr)
Faced with a new kind of presence of digital knowledge carriers because of the digitalization and Industry 4.0 settings, research agendas need to be updated by arising research challenges. Particularly novel kinds of knowledge-intensive interactions among… (mehr)
As Industry 4.0 infrastructures are seen as highly evolutionary environment with volatile, and time-dependent workloads for analytical tasks, particularly the optimal dimensioning of IT hardware is a challenge for decision makers because the digital processing… (mehr)
As knowledge-intensive processes are often carried out in teams and demand for knowledge transfers among various knowledge carriers, any optimization in regard to the acceleration of knowledge transfers obtains a great economic potential. Exemplified… (mehr)
Modern production infrastructures of globally operating companies usually consist of multiple distributed production sites. While the organization of individual sites consisting of Industry 4.0 components itself is demanding, new questions regarding the… (mehr)
This article presents an exploratory study investigating the influence of an enterprise’s size on its perception and assessment of the benefits and risks expected from participating in open innovation projects. For this purpose an online survey was… (mehr)
The collaboration during the modeling process is uncomfortable and characterized by various limitations. Faced with the successful transfer of first process modeling languages to the augmented world, non-transparent processes can be visualized in a more… (mehr)
Faced with the increasing needs of companies, optimal dimensioning of IT hardware is becoming challenging for decision makers. In terms of analytical infrastructures, a highly evolutionary environment causes volatile, timedependent workloads in its components,… (mehr)
Modern process optimization approaches do build on various qualitative and quantitative tools, but are mainly limited to simple relations in different process perspectives like cost, time or stock. In this paper, a new approach is presented which focuses… (mehr)
Die Priorisierung von Anforderungen nimmt einen hohen Stellenwert im EAManagement ein. In verschiedenen Bereichen und auf sehr unterschiedlichen Ebenen müssen strategische, fachliche und wirtschaftliche Anforderungen bewertet und dadurch priorisiert… (mehr)
The integration of powerful technologies in traditional domains realizes promising potentials but mostly rises complexity and shrinks comprehensibility of underlying processes. With the aim to rise comprehensibility of non-transparent processes, a process… (mehr)
The paper deals with the increasing growth of embedded systems and their role within structures similar to the Internet (Internet of Things) as those that provide calculating power and are more or less appropriate for analytical tasks. Faced with the… (mehr)
As traditional production components are considered as cyber- physical systems (CPS), they become intelligent and decide for themselves. Interacting within a cyber-physical production system (CPPS), each is following individual objectives and a coordination… (mehr)
Traditional production systems are enhanced by cyber-physical systems (CPS) and Internet of Things. A kind of next generation systems, those cyber-physical production systems (CPPS) are able to raise the level of autonomy of its production components.… (mehr)
