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 - 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 - 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 - 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 - Schneider, Dominik A1 - Wisselink, Frank A1 - Czarnecki, Christian ED - Barton, Thomas ED - Müller, Christian ED - Seel, Christian T1 - Nutzen und Rahmenbedingungen 5 informationsgetriebener Geschäftsmodelle des Internets der Dinge T2 - Digitalisierung in Unternehmen: von den theoretischen Ansätzen zur praktischen Umsetzung N2 - Im Kontext der zunehmenden Digitalisierung wird das Internet der Dinge (englisch: Internet of Things, IoT) als ein technologischer Treiber angesehen, durch den komplett neue Geschäftsmodelle im Zusammenspiel unterschiedlicher Akteure entstehen können. Identifizierte Schlüsselakteure sind unter anderem traditionelle Industrieunternehmen, Kommunen und Telekommunikationsunternehmen. Letztere sorgen mit der Bereitstellung von Konnektivität dafür, dass kleine Geräte mit winzigen Batterien nahezu überall und direkt an das Internet angebunden werden können. Es sind schon viele IoT-Anwendungsfälle auf dem Markt, die eine Vereinfachung für Endkunden darstellen, wie beispielsweise Philips Hue Tap. Neben Geschäftsmodellen basierend auf Konnektivität besteht ein großes Potenzial für informationsgetriebene Geschäftsmodelle, die bestehende Geschäftsmodelle unterstützen sowie weiterentwickeln können. Ein Beispiel dafür ist der IoT-Anwendungsfall Park and Joy der Deutschen Telekom AG, bei dem Parkplätze mithilfe von Sensoren vernetzt und Autofahrer in Echtzeit über verfügbare Parkplätze informiert werden. Informationsgetriebene Geschäftsmodelle können auf Daten aufsetzen, die in IoT-Anwendungsfällen erzeugt werden. Zum Beispiel kann ein Telekommunikationsunternehmen Mehrwert schöpfen, indem es aus Daten entscheidungsrelevantere Informationen – sogenannte Insights – ableitet, die zur Steigerung der Entscheidungsagilität genutzt werden. Außerdem können Insights monetarisiert werden. Die Monetarisierung von Insights kann nur nachhaltig stattfinden, wenn sorgfältig gehandelt wird und Rahmenbedingungen berücksichtigt werden. In diesem Kapitel wird das Konzept informationsgetriebener Geschäftsmodelle erläutert und anhand des konkreten Anwendungsfalls Park and Joy verdeutlicht. Darüber hinaus werden Nutzen, Risiken und Rahmenbedingungen diskutiert. KW - Digitale Transformation KW - Internet der Dinge KW - Monetarisierung KW - Informationsgetriebene Geschäftsmodelle KW - Qualitative Wertschöpfungsanalyse Y1 - 2018 SN - 9783658227739 SN - 9783658227722 U6 - http://dx.doi.org/10.1007/978-3-658-22773-9_5 SP - 67 EP - 85 PB - Springer CY - Wiesbaden ER - TY - JOUR A1 - Schiffer, Stefan A1 - Ferrein, Alexander T1 - ERIKA—Early Robotics Introduction at Kindergarten Age JF - Multimodal Technologies Interact N2 - In this work, we report on our attempt to design and implement an early introduction to basic robotics principles for children at kindergarten age. One of the main challenges of this effort is to explain complex robotics contents in a way that pre-school children could follow the basic principles and ideas using examples from their world of experience. What sets apart our effort from other work is that part of the lecturing is actually done by a robot itself and that a quiz at the end of the lesson is done using robots as well. The humanoid robot Pepper from Softbank, which is a great platform for human–robot interaction experiments, was used to present a lecture on robotics by reading out the contents to the children making use of its speech synthesis capability. A quiz in a Runaround-game-show style after the lecture activated the children to recap the contents they acquired about how mobile robots work in principle. In this quiz, two LEGO Mindstorm EV3 robots were used to implement a strongly interactive scenario. Besides the thrill of being exposed to a mobile robot that would also react to the children, they were very excited and at the same time very concentrated. We got very positive feedback from the children as well as from their educators. To the best of our knowledge, this is one of only few attempts to use a robot like Pepper not as a tele-teaching tool, but as the teacher itself in order to engage pre-school children with complex robotics contents. Y1 - 2018 U6 - http://dx.doi.org/10.3390/mti2040064 SN - 2414-4088 VL - 2 IS - 4 PB - MDPI CY - Basel ER - TY - CHAP A1 - Rütters, René A1 - Weinheimer, Marius A1 - Bragard, Michael T1 - Teaching Control Theory with a Simplified Helicopter Model and a Classroom Fitting Hardware Test-Bench T2 - 2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON) Y1 - 2018 SN - 978-1-5386-6903-7 U6 - http://dx.doi.org/10.1109/RTUCON.2018.8659871 ER - TY - CHAP A1 - Rausch, Lea A1 - Friesen, John A1 - Altherr, Lena A1 - Pelz, Peter F. ED - Kliewer, Natalia ED - Ehmke, Jan Fabian ED - Borndörfer, Ralf T1 - Using mixed-integer programming for the optimal design of water supply networks for slums T2 - Operations Research Proceedings 2017 N2 - The UN sets the goal to ensure access to water and sanitation for all people by 2030. To address this goal, we present a multidisciplinary approach for designing water supply networks for slums in large cities by applying mathematical optimization. The problem is modeled as a mixed-integer linear problem (MILP) aiming to find a network describing the optimal supply infrastructure. To illustrate the approach, we apply it on a small slum cluster in Dhaka, Bangladesh. Y1 - 2018 SN - 978-3-319-89919-0 (Print) SN - 978-3-319-89920-6 (Online) U6 - http://dx.doi.org/10.1007/978-3-319-89920-6_68 N1 - International Conference of the German Operations Research Society (GOR), Freie Universiät Berlin, Germany, September 6-8, 2017. SP - 509 EP - 516 PB - Springer CY - Cham ER - TY - JOUR A1 - Rausch, Lea A1 - Friesen, John A1 - Altherr, Lena A1 - Meck, Marvin A1 - Pelz, Peter F. T1 - A holistic concept to design optimal water supply infrastructures for informal settlements using remote sensing data JF - Remote Sensing N2 - Ensuring access to water and sanitation for all is Goal No. 6 of the 17 UN Sustainability Development Goals to transform our world. As one step towards this goal, we present an approach that leverages remote sensing data to plan optimal water supply networks for informal urban settlements. The concept focuses on slums within large urban areas, which are often characterized by a lack of an appropriate water supply. We apply methods of mathematical optimization aiming to find a network describing the optimal supply infrastructure. Hereby, we choose between different decentral and central approaches combining supply by motorized vehicles with supply by pipe systems. For the purposes of illustration, we apply the approach to two small slum clusters in Dhaka and Dar es Salaam. We show our optimization results, which represent the lowest cost water supply systems possible. Additionally, we compare the optimal solutions of the two clusters (also for varying input parameters, such as population densities and slum size development over time) and describe how the result of the optimization depends on the entered remote sensing data. KW - water supply design KW - mathematical optimization KW - slum classification KW - remote sensing Y1 - 2018 SN - 2072-4292 U6 - http://dx.doi.org/10.3390/rs10020216 VL - 10 IS - 2 SP - 1 EP - 23 PB - MDPI CY - Basel ER - TY - CHAP A1 - Müller, Tim M. A1 - Altherr, Lena A1 - Ahola, Marja A1 - Schabel, Samuel A1 - Pelz, Peter F. T1 - Optimizing pressure screen systems in paper recycling: optimal system layout, component selection and operation N2 - Around 60% of the paper worldwide is made from recovered paper. Especially adhesive contaminants, so called stickies, reduce paper quality. To remove stickies but at the same time keep as many valuable fibers as possible, multi-stage screening systems with several interconnected pressure screens are used. When planning such systems, suitable screens have to be selected and their interconnection as well as operational parameters have to be defined considering multiple conflicting objectives. In this contribution, we present a Mixed-Integer Nonlinear Program to optimize system layout, component selection and operation to find a suitable trade-off between output quality and yield. KW - Mixed-integer nonlinear problem KW - MINLP KW - Process engineering KW - Paper recycling KW - Multi-criteria optimization Y1 - 2018 SN - 978-3-030-18499-5 U6 - http://dx.doi.org/10.1007/978-3-030-18500-8_44 SP - 355 EP - 361 PB - Springer CY - Cham ER -