TY  - JOUR
A1  - Grum, Marcus
A1  - Bender, Benedict
A1  - Alfa, A. S.
A1  - Gronau, Norbert
T1  - A decision maxim for efficient task realization within analytical network infrastructures
JF  - Decision support systems : DSS ; the international journal
N2  - 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, time dependent workloads in its components, and intelligent, flexible task distribution between local systems and cloud services is attractive. With the aim of developing a flexible and efficient design for analytical infrastructures, this paper proposes a flexible architecture model, which allocates tasks following a machine-specific decision heuristic. A simulation benchmarks this system with existing strategies and identifies the new decision maxim as superior in a first scenario-based simulation.
KW  - Analytics
KW  - Architecture concepts
KW  - Cyber-physical systems
KW  - Internet of things
KW  - Task realization strategies
KW  - Simulation
Y1  - 2018
U6  - https://doi.org/10.1016/j.dss.2018.06.005
SN  - 0167-9236
SN  - 1873-5797
VL  - 112
SP  - 48
EP  - 59
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - JOUR
A1  - Gronau, Norbert
T1  - Determining the appropriate degree of autonomy in cyber-physical production systems
JF  - CIRP Journal of Manufacturing Science and Technology
N2  - Existing factories face multiple problems due to their hierarchical structure of decision making and control. Cyber-physical systems principally allow to increase the degree of autonomy to new heights. But which degree of autonomy is really useful and beneficiary? This paper differentiates diverse definitions of autonomy and approaches to determine them. Some experimental findings in a lab environment help to answer the question raised in this paper.
KW  - Cyber-phyiscal system
KW  - Degree of autonomy
KW  - Simulation
KW  - Production system
Y1  - 2019
U6  - https://doi.org/10.1016/j.cirpj.2019.05.001
SN  - 1755-5817
VL  - 26
SP  - 70
EP  - 80
PB  - Elsevier
CY  - Amsterdam
ER  -