Fraunhofer-Institut für Angewandte Informationstechnik FIT

Filters
2
2
Reset filters

Settings
Now showing 1 - 2 of 2
  • Publication
    Organizing Self-Organizing Systems: A Terminology, Taxonomy, and Reference Model for Entities in Cyber-physical Production Systems
    ( 2021)
    Berger, Stephan
    ;
    Häckel, Björn
    ;
    Häfner, Lukas
    Ongoing digitalization accelerates the transformation and integration of physical production and traditional computing systems into smart objects and their interconnectivity, forming the Internet of Things. In manufacturing, the cross-linking of embedded systems creates adaptive and self-organizing Cyber-Physical Production Systems (CPPSs). Owing to ever-increasing cross-linking, rapid technological advances, and multifunctionality, the complexity and structural opacity of CPPSs are rapidly increasing. The development of urgently needed modeling approaches for managing such complexity and structural opacity, however, is impeded by a lack of common understanding of CPPSs. Therefore, in this paper, we contribute to a common understanding of CPPSs by defining and classifying CPPS entities and illustrating their relations. More precisely, we present a terminology, a taxonomy, and a reference model for CPPS entities, created and evaluated using an iterative development process. Thereby, we lay the foundation for future CPPS modeling approaches that make CPPS complexity and structural opacity more manageable.
  • Publication
    Towards an optimal investment strategy considering fashionable IT innovations a dynamic optimization model
    ( 2017)
    Bürger, Olga
    ;
    Häckel, Björn
    ;
    Moser, Florian
    Companies regularly face the challenge of deciding whether, when and to which extent they should invest in IT innovations with different maturity. The IT innovation strategy thereby should consider mature as well as fashionable IT innovations as investment alternatives. As previous researchs focus is rather qualitative, we develop a dynamic optimization model that determines the optimal strategic allocation of an IT innovation budget to mature and fashionable IT innovations. By using a simulation-based approach, we analyze the essential causal relationships between the theoretical optimum and the factors of major influence. We find that companies should invest in fashionable IT innovations even if their own level of innovativeness is rather low and the technologys success probability has not reached a high threshold yet. Our findings provide a basis for further research on mindful investment decisions in fashionable IT innovations.