TY  - CHAP
A1  - Scholl, Ingrid
A1  - Suder, Sebastian
A1  - Schiffer, Stefan
T1  - Direct Volume Rendering in Virtual Reality
T2  - Bildverarbeitung für die Medizin 2018
Y1  - 2018
SN  - 978-3-662-56537-7
U6  - http://dx.doi.org/10.1007/978-3-662-56537-7_79
SP  - 297
EP  - 302
PB  - Springer Vieweg
CY  - Berlin
ER  - 
TY  - CHAP
A1  - Serror, Martin
A1  - Henze, Martin
A1  - Hack, Sacha
A1  - Schuba, Marko
A1  - Wehrle, Klaus
T1  - Towards in-network security for smart homes
T2  - 13th International Conference on Availability, Reliability and Security, ARES 2018; Hamburg; Germany; 27 August 2018 through 30 August 2018
Y1  - 2018
SN  - 978-145036448-5
U6  - http://dx.doi.org/10.1145/3230833.3232802
SP  - Article numer 3232802
ER  - 
TY  - CHAP
A1  - Stenger, David
A1  - Altherr, Lena
A1  - Müller, Tankred
A1  - Pelz, Peter F.
T1  - Product family design optimization using model-based engineering techniques
T2  - Operations Research Proceedings 2017
N2  - Highly competitive markets paired with tremendous production volumes demand particularly cost efficient products. The usage of common parts and modules across product families can potentially reduce production costs. Yet, increasing commonality typically results in overdesign of individual products. Multi domain virtual prototyping enables designers to evaluate costs and technical feasibility of different single product designs at reasonable computational effort in early design phases. However, savings by platform commonality are hard to quantify and require detailed knowledge of e.g. the production process and the supply chain. Therefore, we present and evaluate a multi-objective metamodel-based optimization algorithm which enables designers to explore the trade-off between high commonality and cost optimal design of single products.
Y1  - 2018
SN  - 978-3-319-89919-0
U6  - http://dx.doi.org/10.1007/978-3-319-89920-6_66
SP  - 495
EP  - 502
PB  - Springer
CY  - Cham
ER  - 
TY  - JOUR
A1  - Sun, Hui
A1  - Altherr, Lena
A1  - Pei, Ji
A1  - Pelz, Peter F.
A1  - Yuan, Shouqi
T1  - Optimal booster station design and operation under uncertain load
JF  - Applied Mechanics and Materials
N2  - Given industrial applications, the costs for the operation and maintenance of a pump system typically far exceed its purchase price. For finding an optimal pump configuration which minimizes not only investment, but life-cycle costs, methods like Technical Operations Research which is based on Mixed-Integer Programming can be applied. However, during the planning phase, the designer is often faced with uncertain input data, e.g. future load demands can only be estimated. In this work, we deal with this uncertainty by developing a chance-constrained two-stage (CCTS) stochastic program. The design and operation of a booster station working under uncertain load demand are optimized to minimize total cost including purchase price, operation cost incurred by energy consumption and penalty cost resulting from water shortage. We find optimized system layouts using a sample average approximation (SAA) algorithm, and analyze the results for different risk levels of water shortage. By adjusting the risk level, the costs and performance range of the system can be balanced, and thus the
system’s resilience can be engineered
KW  - Stochastic Programming
KW  - Chance Constraint
KW  - Engineering Application
KW  - Pump System
KW  - Water Distribution
Y1  - 2018
U6  - http://dx.doi.org/10.4028/www.scientific.net/AMM.885.102
SN  - 1662-7482
VL  - 885
SP  - 102
EP  - 115
PB  - Trans Tech Publications
CY  - Bäch
ER  -