@inproceedings{Fuegenschuh2005, author = {F{\"u}genschuh, Armin}, title = {Scheduling Buses in Rural Areas}, booktitle = {Advanced OR and AI Methods in Transportation, 10th EWGT / 16th Mini-Euro Conference Proceedings, Poznan}, editor = {Jaszkiewicz, A. and Kaczmarek, M. and Zak, J. and Kubiak, M.}, pages = {706 -- 711}, year = {2005}, language = {en} } @misc{BroseFuegenschuhGausemeieretal.2013, author = {Brose, Achim and F{\"u}genschuh, Armin and Gausemeier, Pia and Vierhaus, Ingmar and Seliger, G{\"u}nther}, title = {A System Dynamic Enhancement for the Scenario Technique}, issn = {1438-0064}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-18150}, year = {2013}, abstract = {The Scenario Technique is a strategic planning method that aims to describe and analyze potential developments of a considered system in the future. Its application consists of several steps, from an initial problem analysis over an influence analysis to projections of key factors and a definition of the scenarios to a final interpretation of the results. The technique itself combines qualitative and quantitative methods and is an enhancement of the standard Scenario Technique. We use the numerical values gathered during the influence analysis, and embed them in a System Dynamics framework. This yields a mathematically rigorous way to achieve predictions of the system's future behavior from an initial impulse and the feedback structure of the factors. The outcome of our new method is a further way of projecting the present into the future, which enables the user of the Scenario Technique to obtain a validation of the results achieved by the standard method.}, language = {en} } @inproceedings{FuegenschuhHomfeldHucketal.2006, author = {F{\"u}genschuh, Armin and Homfeld, Henning and Huck, Andreas and Martin, Alexander}, title = {Locomotive and Wagon Scheduling in Freight Transport}, booktitle = {Proceedings of the ATMOS06}, editor = {Jacob, R. and M{\"u}ller-Hannemann, Matthias}, year = {2006}, language = {en} } @inproceedings{FuegenschuhMartinMehlertetal.2005, author = {F{\"u}genschuh, Armin and Martin, Alexander and Mehlert, Christian and St{\"o}veken, Peter}, title = {Ein Planungstool zur Schulzeitstaffelung}, booktitle = {Supply Chain Management und Logistik}, editor = {G{\"u}nther, H.-O. and Mattfeld, D. and Suhl, L.}, pages = {419 -- 436}, year = {2005}, language = {en} } @inproceedings{FuegenschuhMartinStoeveken2005, author = {F{\"u}genschuh, Armin and Martin, Alexander and St{\"o}veken, Peter}, title = {Integrated Optimization of School Starting Times and Public Bus Services}, booktitle = {Operations Research Proceedings}, editor = {Fleuren, Hein and den Hertog, Dick and Kort, Peter}, pages = {150 -- 157}, year = {2005}, language = {en} } @inproceedings{FuegenschuhStoeveken2005, author = {F{\"u}genschuh, Armin and St{\"o}veken, Peter}, title = {Integrierte Optimierung der Schulanfangszeit und des Nahverkehrs-Angebots}, booktitle = {Tagungsband der Heureka'05 - Optimierung in Verkehr und Transport}, pages = {265 -- 278}, year = {2005}, language = {en} } @inproceedings{FuegenschuhMartin2007, author = {F{\"u}genschuh, Armin and Martin, Alexander}, title = {Mixed-integer models for topology optimization in sheet metal design}, booktitle = {Sixth International Congress on Industrial Applied Mathematics (ICIAM07) and GAMM Annual Meeting, Z{\"u}rich 2007}, pages = {2060049 -- 2060050}, year = {2007}, language = {en} } @inproceedings{FuegenschuhGoettlichHerty2007, author = {F{\"u}genschuh, Armin and G{\"o}ttlich, Simone and Herty, Michael}, title = {A new modeling approach for an integrated simulation and optimization of production networks}, booktitle = {Management logistischer Netzwerke}, editor = {G{\"u}nther, H.-O. and Mattfeld, D. and Suhl, L.}, pages = {45 -- 60}, year = {2007}, language = {en} } @inproceedings{BirkhoferFuegenschuhMartinetal.2007, author = {Birkhofer, Herbert and F{\"u}genschuh, Armin and Martin, Alexander and W{\"a}ldele, Martin}, title = {Algorithmenbasierte Produktentwicklung f{\"u}r integrale Blechbauweisen h{\"o}herer Verzweigungsordnung}, booktitle = {Optimierung in der Produktentwicklung, 5. Geimeinsames Kolloquium Konstruktionstechnik}, year = {2007}, language = {en} } @inproceedings{FuegenschuhPrickStoeveken2007, author = {F{\"u}genschuh, Armin and Prick, Matthias and St{\"o}veken, Peter}, title = {Ausschreibung von Linienb{\"u}ndeln versus Schulzeitkoordinierung?}, booktitle = {VWT Conference e-Proceedings}, year = {2007}, language = {en} } @inproceedings{BalaprakashFuegenschuhHomfeldetal.2008, author = {Balaprakash, Prasanna and F{\"u}genschuh, Armin and Homfeld, Henning and Schoch, Michael and St{\"u}tzle, Thomas and Yuan, Zhi}, title = {Iterated Greedy Algorithms for a Real-World Cyclic Train Scheduling Problem}, booktitle = {Hybrid Metaheuristics, 4th International Workshop, HM 2008, Malaga, Spain, October 8-9, 2008}, editor = {Aguilera, Mar{\´i}a J.}, pages = {21 -- 31}, year = {2008}, language = {en} } @inproceedings{DsokiFuegenschuhHanselkaetal.2008, author = {Dsoki, Chalid and F{\"u}genschuh, Armin and Hanselka, Holger and Hochbaum, Dorit and Hernandez-Magallanes, Irma and Moreno-Centeno, Erick and Peter, Andrea}, title = {Das ANSLC-Programm und das SDM im Vergleich}, booktitle = {Sonderforschungsbereich 666}, editor = {Groche, P.}, pages = {97 -- 106}, year = {2008}, language = {en} } @inproceedings{FuegenschuhlerMartinetal.2009, author = {F{\"u}genschuh, Armin and ler, Bj{\"o}rn and Martin, Alexander and Morsi, Antonio}, title = {The Transport PDE and Mixed-Integer Linear Programming}, booktitle = {Dagstuhl Seminar Proceedings 09261, Schloss Dagstuhl - Leibniz-Zentrum f{\"u}r Informatik, Deutschland}, editor = {Barnhart, Cynthia and Clausen, Uwe and Lauther, Ulrich and M{\"o}hring, Rolf}, year = {2009}, language = {en} } @inproceedings{FuegenschuhHessScheweetal.2008, author = {F{\"u}genschuh, Armin and Hess, Wolfgang and Schewe, Lars and Martin, Alexander and Ulbrich, Stefan}, title = {Verfeinerte Modelle zur Topologie- und Geometrie-Optimierung von Blechprofilen mit Kammern}, booktitle = {Sonderforschungsbereich 666}, editor = {Groche, P.}, pages = {17 -- 28}, year = {2008}, language = {en} } @article{PfetschFuegenschuhGeissleretal.2014, author = {Pfetsch, Marc and F{\"u}genschuh, Armin and Geißler, Bj{\"o}rn and Geißler, Nina and Gollmer, Ralf and Hiller, Benjamin and Humpola, Jesco and Koch, Thorsten and Lehmann, Thomas and Martin, Alexander and Morsi, Antonio and R{\"o}vekamp, Jessica and Schewe, Lars and Schmidt, Martin and Schultz, R{\"u}diger and Schwarz, Robert and Schweiger, Jonas and Stangl, Claudia and Steinbach, Marc and Vigerske, Stefan and Willert, Bernhard}, title = {Validation of Nominations in Gas Network Optimization: Models, Methods, and Solutions}, journal = {Optimization Methods and Software}, publisher = {Taylor \& Francis}, doi = {10.1080/10556788.2014.888426}, year = {2014}, abstract = {In this article we investigate methods to solve a fundamental task in gas transportation, namely the validation of nomination problem: Given a gas transmission network consisting of passive pipelines and active, controllable elements and given an amount of gas at every entry and exit point of the network, find operational settings for all active elements such that there exists a network state meeting all physical, technical, and legal constraints. We describe a two-stage approach to solve the resulting complex and numerically difficult feasibility problem. The first phase consists of four distinct algorithms applying linear, and methods for complementarity constraints to compute possible settings for the discrete decisions. The second phase employs a precise continuous programming model of the gas network. Using this setup, we are able to compute high quality solutions to real-world industrial instances that are significantly larger than networks that have appeared in the mathematical programming literature before.}, language = {en} } @inproceedings{FuegenschuhHillerHumpolaetal.2011, author = {F{\"u}genschuh, Armin and Hiller, Benjamin and Humpola, Jesco and Koch, Thorsten and Lehmann, Thomas and Schwarz, Robert and Schweiger, Jonas and Szabo, Jacint}, title = {Gas Network Topology Optimization for Upcoming Market Requirements}, booktitle = {International Conference on the European Energy Market (EEM)}, doi = {10.1109/EEM.2011.5953035}, pages = {346 -- 351}, year = {2011}, abstract = {Gas distribution networks are complex structures that consist of passive pipes, and active, controllable elements such as valves and compressors. Controlling such network means to find a suitable setting for all active components such that a nominated amount of gas can be transmitted from entries to exits through the network, without violating physical or operational constraints. The control of a large-scale gas network is a challenging task from a practical point of view. In most companies the actual controlling process is supported by means of computer software that is able to simulate the flow of the gas. However, the active settings have to be set manually within such simulation software. The solution quality thus depends on the experience of a human planner. When the gas network is insufficient for the transport then topology extensions come into play. Here a set of new pipes or active elements is determined such that the extended network admits a feasible control again. The question again is how to select these extensions and where to place them such that the total extension costs are minimal. Industrial practice is again to use the same simulation software, determine extensions by experience, add them to the virtual network, and then try to find a feasible control of the active elements. The validity of this approach now depends even more on the human planner. Another weakness of this manual simulation-based approach is that it cannot establish infeasibility of a certain gas nomination, unless all settings of the active elements are tried. Moreover, it is impossible to find a cost-optimal network extension in this way. In order to overcome these shortcomings of the manual planning approach we present a new approach, rigorously based on mathematical optimization. Hereto we describe a model for finding feasible controls and then extend this model such that topology extensions can additionally and simultaneously be covered. Numerical results for real-world instances are presented and discussed.}, language = {en} } @inproceedings{FuegenschuhvanVeldhuizenVierhaus2013, author = {F{\"u}genschuh, Armin and van Veldhuizen, Roel and Vierhaus, Ingmar}, title = {Production Planning for Non-Cooperating Companies with Nonlinear Optimization}, booktitle = {11th Global Conference on Sustainable Manufacturing : Proceedings}, publisher = {Universit{\"a}tsverlag der TU Berlin}, address = {Berlin}, pages = {536 -- 541}, year = {2013}, abstract = {We consider a production planning problem where two competing companies are selling their items on a common market. Moreover, the raw material used in the production is a limited non-renewable resource. The revenue per item sold depends on the total amount of items produced by both players. If they collaborate they could apply a production strategy that leads to the highest combined revenue. Usually the formation of such syndicates is prohibited by law; hence we assume that one company does not know how much the other company will produce. We formulate the problem for company A to find an optimal production plan without information on the strategy of company B as a nonlinear mathematical optimization problem. In its naive formulation the model is too large, making its solution practically impossible. After a reformulation we find a much smaller model, which we solve by spatial branch-and-cut methods and linear programming. We discuss the practical implications of our solutions.}, language = {en} } @inproceedings{FuegenschuhVierhaus2013, author = {F{\"u}genschuh, Armin and Vierhaus, Ingmar}, title = {System Dynamic Optimization in the Sustainability Assessment of a World-Model}, booktitle = {11th Global Conference on Sustainable Manufacturing : Proceedings}, publisher = {Universit{\"a}tsverlag der TU Berlin}, address = {Berlin}, pages = {530 -- 535}, year = {2013}, abstract = {The System Dynamics (SD) methodology is a framework for modeling and simulating the dynamic behavior of socioeconomic systems. Characteristic for the description of such systems is the occurrence of feedback loops together with stocks and flows. The mathematical equations that describe the system are usually nonlinear. Therefore seemingly simple systems can show a nonintuitive, nonpredictable behavior over time. Controlling a dynamical system means to define a desired final state in which the system should be, and to specify potential interventions from outside that should keep the system on the right track. The central question is how to compute such globally optimal control for a given SD model. We propose a branch-and-bound approach that is based on a bound propagation method, primal heuristics, and spatial branching. We apply our new SD-control method to a small System Dynamics model, that describes the evolution of a social-economic system over time. We examine the problem of steering this system on a sustainable consumption path.}, language = {en} } @inproceedings{BroseFuegenschuhGausemeieretal.2013, author = {Brose, Achim and F{\"u}genschuh, Armin and Gausemeier, Pia and Vierhaus, Ingmar and Seliger, G{\"u}nther}, title = {A System Dynamic Enhancement for the Scenario Technique}, booktitle = {Proc. 11th Global Conference on Sustainable Manufacturing}, publisher = {Universit{\"a}tsverlag der TU Berlin}, address = {Berlin}, pages = {561 -- 566}, year = {2013}, abstract = {The Scenario Technique is a strategic planning method that aims to describe and analyze potential developments of a considered system in the future. Its application consists of several steps, from an initial problem analysis over an influence analysis to projections of key factors and a definition of the scenarios to a final interpretation of the results. The technique itself combines qualitative and quantitative methods and is an enhancement of the standard Scenario Technique. We use the numerical values gathered during the influence analysis, and embed them in a System Dynamics framework. This yields a mathematically rigorous way to achieve predictions of the system's future behavior from an initial impulse and the feedback structure of the factors. The outcome of our new method is a further way of projecting the present into the future, which enables the user of the Scenario Technique to obtain a validation of the results achieved by the standard method.}, language = {en} } @inproceedings{ScheumannVierhausChangetal.2013, author = {Scheumann, Ren{\´e} and Vierhaus, Ingmar and Chang, Ya-Ju and F{\"u}genschuh, Armin and Finkbeiner, Matthias}, title = {Identification of trade-offs for sustainable manufacturing of a Bamboo Bike by System Dynamics}, booktitle = {Proceedings of the 27. Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management}, pages = {523 -- 531}, year = {2013}, abstract = {We develop a generic System Dynamic model to simulate the production, machines, employees, waste, and capital flows of a manufacturing company. In a second step, this model is specialised by defining suit-able input data to represent a bicycle manufacturing company in a developing country. We monitor a set of sustainability indicators to understand the social, environmental and economic impact of the company, and to estimate managerial decisions to be taken in order to improve on these criteria. We show that the social and environmental situation can be improved over time without sacrificing the economic success of the company's business.}, language = {en} }