TY  - CHAP
A1  - Altherr, Lena
A1  - Ederer, Thorsten
A1  - Schänzle, Christian
A1  - Lorenz, Ulf
A1  - Pelz, Peter F.
T1  - Algorithmic system design using scaling and affinity laws
T2  - Operations Research Proceedings 2015
N2  - Energy-efficient components do not automatically lead to energy-efficient systems. Technical Operations Research (TOR) shifts the focus from the single component to the system as a whole and finds its optimal topology and operating strategy simultaneously. In previous works, we provided a preselected construction kit of suitable components for the algorithm. This approach may give rise to a combinatorial explosion if the preselection cannot be cut down to a reasonable number by human intuition. To reduce the number of discrete decisions, we integrate laws derived from similarity theory into the optimization model. Since the physical characteristics of a production series are similar, it can be described by affinity and scaling laws. Making use of these laws, our construction kit can be modeled more efficiently: Instead of a preselection of components, it now encompasses whole model ranges. This allows us to significantly increase the number of possible set-ups in our model. In this paper, we present how to embed this new formulation into a mixed-integer program and assess the run time via benchmarks. We present our approach on the example of a ventilation system design problem.
KW  - Optimal Topology
KW  - Piecewise Linearization
KW  - Ventilation System
KW  - Similarity Theory
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
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  - 605
EP  - 611
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Marco, Heather G.
A1  - Ferrein, Alexander
T1  - AGNES: The African-German Network of Excellence in Science
T2  - Proceedings of the 2nd Developing World Robotics Forum, Workshop at IEEE AFRICON 2017
Y1  - 2017
SP  - 1
EP  - 2
ER  - 
TY  - CHAP
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
T1  - A System Layout for Cognitive Service Robots
T2  - Cognitive Robot Architectures. Proceedings of EUCognition 2016
Y1  - 2017
SN  - 1613-0073
N1  - CEUR-WS Vol-1855
SP  - 44
EP  - 45
ER  - 
TY  - CHAP
A1  - Altherr, Lena
A1  - Dörig, Bastian
A1  - Ederer, Thorsten
A1  - Pelz, Peter Franz
A1  - Pfetsch, Marc
A1  - Wolf, Jan
T1  - A mixed-integer nonlinear program for the design of gearboxes
T2  - Operations Research Proceedings 2016
N2  - Gearboxes are mechanical transmission systems that provide speed and torque conversions from a rotating power source. Being a central element of the drive train, they are relevant for the efficiency and durability of motor vehicles. In this work, we present a new approach for gearbox design: Modeling the design problem as a mixed-integer nonlinear program (MINLP) allows us to create gearbox designs from scratch for arbitrary requirements and—given enough time—to compute provably globally optimal designs for a given objective. We show how different degrees of freedom influence the runtime and present an exemplary solution.
Y1  - 2017
SN  - 978-3-319-55701-4
U6  - http://dx.doi.org/10.1007/978-3-319-55702-1_31
SP  - 227
EP  - 233
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Walenta, Robert
A1  - Schellekens, Twan
A1  - Ferrein, Alexander
A1  - Schiffer, Stefan
T1  - A decentralised system approach for controlling AGVs with ROS
T2  - AFRICON, Proceedings
Y1  - 2017
SN  - 978-1-5386-2775-4
U6  - http://dx.doi.org/10.1109/AFRCON.2017.8095693
SN  - 2153-0033
N1  - AFRICON <2017, 18-20 Sept., Cape Town, South Africa>
SP  - 1436
EP  - 1441
PB  - IEEE
ER  -