TY  - CHAP
A1  - Altherr, Lena
A1  - Ederer, Thorsten
A1  - Farnetane, Lucas S.
A1  - Pöttgen, Philipp
A1  - Vergé, Angela
A1  - Pelz, Peter F.
T1  - Multicriterial design of a hydrostatic transmission system via mixed-integer programming
T2  - Operations Research Proceedings 2015
N2  - In times of planned obsolescence the demand for sustainability keeps growing. Ideally, a technical system is highly reliable, without failures and down times due to fast wear of single components. At the same time, maintenance should preferably be limited to pre-defined time intervals. Dispersion of load between multiple components can increase a system’s reliability and thus its availability inbetween maintenance points. However, this also results in higher investment costs and additional efforts due to higher complexity. Given a specific load profile and resulting wear of components, it is often unclear which system structure is the optimal one. Technical Operations Research (TOR) finds an optimal structure balancing availability and effort. We present our approach by designing a hydrostatic transmission system.
Y1  - 2017
SN  - 978-3-319-42901-4
SN  - 978-3-319-42902-1
U6  - http://dx.doi.org/10.1007/978-3-319-42902-1_41
N1  - International Conference of the German, Austrian and Swiss Operations Research Societies (GOR, ÖGOR, SVOR/ASRO), University of Vienna, Austria, September 1-4, 2015
SP  - 301
EP  - 307
PB  - Springer
CY  - Cham
ER  - 
TY  - JOUR
A1  - Altherr, Lena
A1  - Ederer, Thorsten
A1  - Pöttgen, Philipp
A1  - Lorenz, Ulf
A1  - Pelz, Peter F.
ED  - Pelz, Peter F.
ED  - Groche, Peter
T1  - Multicriterial optimization of technical systems considering multiple load and availability scenarios
JF  - Applied Mechanics and Materials
N2  - Cheap does not imply cost-effective -- this is rule number one of zeitgeisty system design. The initial investment accounts only for a small portion of the lifecycle costs of a technical system. In fluid systems, about ninety percent of the total costs are caused by other factors like power consumption and maintenance. With modern optimization methods, it is already possible to plan an optimal technical system considering multiple objectives. In this paper, we focus on an often neglected contribution to the lifecycle costs: downtime costs due to spontaneous failures. Consequently, availability becomes an issue.
KW  - sustainability
KW  - availability
KW  - energy efficiency
KW  - mixed-integer linear programming
KW  - system synthesis
Y1  - 2015
SN  - 1660-9336
U6  - http://dx.doi.org/10.4028/www.scientific.net/AMM.807.247
VL  - 807
SP  - 247
EP  - 256
ER  - 
TY  - CHAP
A1  - Altherr, Lena
A1  - Leise, Philipp
T1  - Resilience as a concept for mastering uncertainty
T2  - Mastering Uncertainty in Mechanical Engineering
Y1  - 2021
SN  - 978-3-030-78353-2
U6  - http://dx.doi.org/10.1007/978-3-030-78354-9
N1  - Unterkapitel 6.3.1 des Kapitels "Strategies for Mastering Uncertainty"
SP  - 412
EP  - 417
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Altherr, Lena
A1  - Leise, Philipp
A1  - Pfetsch, Marc E.
A1  - Schmitt, Andreas
T1  - Optimal design of resilient technical systems on the example of water supply systems
T2  - Mastering Uncertainty in Mechanical Engineering
Y1  - 2021
SN  - 978-3-030-78356-3
N1  - Unterkapitel des Kapitels "Strategies for Mastering Uncertainty"
SP  - 429
EP  - 433
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Leise, Philipp
A1  - Altherr, Lena
T1  - Experimental evaluation of resilience metrics in a fluid system
T2  - Mastering Uncertainty in Mechanical Engineering
Y1  - 2021
SN  - 978-3-030-78356-3
N1  - Unterkapitel des Kapitels "Strategies for Mastering Uncertainty"
SP  - 442
EP  - 447
PB  - Springer
CY  - Cham
ER  -