TY  - GEN
A1  - Bender, Benedict
A1  - Grum, Marcus
A1  - Gronau, Norbert
A1  - Alfa, Attahiru
A1  - Maharaj, B. T.
T1  - Design of a worldwide simulation system for distributed cyber-physical production networks
T2  - 2019 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)
N2  - 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 organization and allocation of resources emerge considering the total production network. In an attempt to face the challenge of efficient distribution and processing both within and across sites, we aim to provide a hybrid simulation approach as a first step towards optimization. Using hybrid simulation allows us to include real and simulated concepts and thereby benchmark different approaches with reasonable effort. A simulation concept is conceptualized and demonstrated qualitatively using a global multi-site example.
KW  - production networks
KW  - geographical distribution
KW  - task realization strategies
KW  - Industry 4.0
KW  - simulation
KW  - evaluation
Y1  - 2019
SN  - 978-1-7281-3401-7
SN  - 978-1-7281-3402-4
U6  - https://doi.org/10.1109/ICE.2019.8792609
SN  - 2334-315X
PB  - IEEE
CY  - New York
ER  - 
TY  - GEN
A1  - Bruechner, Dominik
A1  - Renz, Jan
A1  - Klingbeil, Mandy
T1  - Creating a Framework for User-Centered Development and Improvement of Digital Education
T2  - Scale
N2  - We investigate how the technology acceptance and learning experience of the digital education platform HPI Schul-Cloud (HPI School Cloud) for German secondary school teachers can be improved by proposing a user-centered research and development framework. We highlight the importance of developing digital learning technologies in a user-centered way to take differences in the requirements of educators and students into account. We suggest applying qualitative and quantitative methods to build a solid understanding of a learning platform's users, their needs, requirements, and their context of use. After concept development and idea generation of features and areas of opportunity based on the user research, we emphasize on the application of a multi-attribute utility analysis decision-making framework to prioritize ideas rationally, taking results of user research into account. Afterward, we recommend applying the principle build-learn-iterate to build prototypes in different resolutions while learning from user tests and improving the selected opportunities. Last but not least, we propose an approach for continuous short- and long-term user experience controlling and monitoring, extending existing web- and learning analytics metrics.
KW  - learning platform
KW  - user experience
KW  - evaluation
KW  - HPI Schul-Cloud
KW  - user research framework
KW  - user-centered design
Y1  - 2019
SN  - 978-1-4503-6804-9
U6  - https://doi.org/10.1145/3330430.3333644
PB  - Association for Computing Machinery
CY  - New York
ER  - 
TY  - GEN
A1  - Ghahremani, Sona
A1  - Giese, Holger
T1  - Performance evaluation for self-healing systems
BT  - Current Practice & Open Issues
T2  - 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W)
N2  - Evaluating the performance of self-adaptive systems (SAS) is challenging due to their complexity and interaction with the often highly dynamic environment. In the context of self-healing systems (SHS), employing simulators has been shown to be the most dominant means for performance evaluation. Simulating a SHS also requires realistic fault injection scenarios. We study the state of the practice for evaluating the performance of SHS by means of a systematic literature review. We present the current practice and point out that a more thorough and careful treatment in evaluating the performance of SHS is required.
KW  - self-healing
KW  - failure profile
KW  - evaluation
KW  - simulator
KW  - performance
Y1  - 2019
SN  - 978-1-7281-2406-3
U6  - https://doi.org/10.1109/FAS-W.2019.00039
SP  - 116
EP  - 119
PB  - IEEE
CY  - New York
ER  -