TY - GEN A1 - Eisenblätter, Andreas A1 - Fügenschuh, Armin A1 - Koch, Thorsten A1 - Koster, Arie M.C.A. A1 - Martin, Alexander A1 - Pfender, Tobias A1 - Wegel, Oliver A1 - Wessäly, Roland T1 - Modelling Feasible Network Configurations for UMTS N2 - A model for the optimisation of the location and configuration of base stations in a UMTS network is described. The focus is primarily on modelling the configuration problem sufficiently accurate using mixed-integer variables and (essentially) linear constraints. These constraints reflect the limited downlink code capacity in each cell, the interference limitations for successful up- and downlink transmissions, the need for sufficiently strong (cell) pilot signals, and the potential gain for mobiles from being in soft(er) hand-over. It is also explained how to use the model as a basis for rating network configurations. T3 - ZIB-Report - 02-16 KW - UMTS KW - radio interface KW - network planning KW - configuration KW - perfect power control KW - mathematical model KW - mixed integer programming KW - MOMENTUM KW - IST-20 Y1 - 2002 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-6837 ER - TY - GEN A1 - Eisenblätter, Andreas A1 - Fügenschuh, Armin A1 - Geerdes, Hans-Florian A1 - Junglas, Daniel A1 - Koch, Thorsten A1 - Martin, Alexander T1 - Optimization Methods for UMTS Radio Network Planning N2 - The UMTS radio network planning problem poses the challenge of designing a cost-effective network that provides users with sufficient coverage and capacity. We describe an optimization model for this problem that is based on comprehensive planning data of the EU project MOMENTUM. We present heuristic mathematical methods for this realistic model, including computational results. T3 - ZIB-Report - 03-41 Y1 - 2003 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-7637 ER - TY - GEN A1 - Fügenschuh, Armin A1 - Geißler, Björn A1 - Gollmer, Ralf A1 - Hayn, Christine A1 - Henrion, Rene A1 - Hiller, Benjamin A1 - Humpola, Jesco A1 - Koch, Thorsten A1 - Lehmann, Thomas A1 - Martin, Alexander A1 - Mirkov, Radoslava A1 - Morsi, Antonio A1 - Römisch, Werner A1 - Rövekamp, Jessica A1 - Schewe, Lars A1 - Schmidt, Martin A1 - Schultz, Rüdiger A1 - Schwarz, Robert A1 - Schweiger, Jonas A1 - Stangl, Claudia A1 - Steinbach, Marc A1 - Willert, Bernhard T1 - Mathematical Optimization for Challenging Network Planning Problems in Unbundled Liberalized Gas Markets N2 - The recently imposed new gas market liberalization rules in Germany lead to a change of business of gas network operators. While previously network operator and gas vendor where united, they were forced to split up into independent companies. The network has to be open to any other gas trader at the same conditions, and free network capacities have to be identified and publicly offered in a non-discriminatory way. We show that these new paradigms lead to new and challenging mathematical optimization problems. In order to solve them and to provide meaningful results for practice, all aspects of the underlying problems, such as combinatorics, stochasticity, uncertainty, and nonlinearity, have to be addressed. With such special-tailored solvers, free network capacities and topological network extensions can, for instance, be determined. T3 - ZIB-Report - 13-13 KW - Gas Market Liberalization KW - Entry-Exit Model KW - Gas Network Access Regulation KW - Mixed-Integer Nonlinear Nonconvex Stochastic Optimization Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-17821 SN - 1438-0064 ER - TY - GEN A1 - Fügenschuh, Armin A1 - Hiller, Benjamin A1 - Humpola, Jesco A1 - Koch, Thorsten A1 - Lehmann, Thomas A1 - Schwarz, Robert A1 - Schweiger, Jonas A1 - Szabó, Jácint T1 - Gas Network Topology Optimization for Upcoming Market Requirements N2 - 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. T3 - ZIB-Report - 11-09 KW - Mathematical Optimization KW - Gas Distribution Networks KW - Topology Planning Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-12348 ER - TY - GEN A1 - Dittel, Agnes A1 - Fügenschuh, Armin A1 - Martin, Alexander T1 - Polyhedral Aspects of Self-Avoiding Walks N2 - In this paper, we study self-avoiding walks of a given length on a graph. We consider a formulation of this problem as a binary linear program. We analyze the polyhedral structure of the underlying polytope and describe valid inequalities. Proofs for their facial properties for certain special cases are given. In a variation of this problem one is interested in optimal configurations, where an energy function measures the benefit if certain path elements are placed on adjacent vertices of the graph. The most prominent application of this problem is the protein folding problem in biochemistry. On a set of selected instances, we demonstrate the computational merits of our approach. T3 - ZIB-Report - 11-11 KW - Polyhedral Combinatorics KW - Integer Programming KW - Self-Avoiding Path KW - Protein Folding Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-12576 ER - TY - GEN A1 - Fügenschuh, Armin A1 - Humpola, Jesco T1 - A Unified View on Relaxations for a Nonlinear Network Flow Problem N2 - We consider a nonlinear nonconvex network flow problem that arises, for example, in natural gas or water transmission networks. Given is such network with active and passive components, that is, valves, compressors, pressure regulators (active) and pipelines (passive), and a desired amount of flow at certain specified entry and exit nodes of the network. Besides flow conservation constraints in the nodes the flow must fulfill nonlinear nonconvex pressure loss constraints on the arcs subject to potential values (i.e., pressure levels) in both end nodes of each arc. The problem is how to numerically compute this flow and pressures. We review an existing approach of Maugis (1977) and extend it to the case of networks with active elements (for example, compressors). We further examine different ways of relaxations for the nonlinear network flow model. We compare different approaches based on nonlinear optimization numerically on a set of test instances. T3 - ZIB-Report - 13-31 KW - Nonlinear Network Flow KW - Mixed-Integer Nonlinear Programming KW - Relaxations Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-18857 ER - TY - GEN A1 - Scheumann, René A1 - Vierhaus, Ingmar A1 - Chang, Ya-Ju A1 - Fügenschuh, Armin A1 - Finkbeiner, Matthias T1 - Identification of trade-offs for sustainable manufacturing of a Bamboo Bike by System Dynamics N2 - 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. T3 - ZIB-Report - 13-32 KW - System Dynamics KW - Modelling KW - Life Cycle Sustainability Assessment KW - Sustainability Indicators Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-18895 ER - TY - GEN A1 - Borndörfer, Ralf A1 - Fügenschuh, Armin A1 - Klug, Torsten A1 - Schang, Thilo A1 - Schlechte, Thomas A1 - Schülldorf, Hanno T1 - The Freight Train Routing Problem N2 - We consider the following freight train routing problem (FTRP). Given is a transportation network with fixed routes for passenger trains and a set of freight trains (requests), each defined by an origin and destination station pair. The objective is to calculate a feasible route for each freight train such that a sum of all expected delays and all running times is minimal. Previous research concentrated on microscopic train routings for junctions or inside major stations. Only recently approaches were developed to tackle larger corridors or even networks. We investigate the routing problem from a strategic perspective, calculating the routes in a macroscopic transportation network of Deutsche Bahn AG. Here macroscopic refers to an aggregation of complex real-world structures are into fewer network elements. Moreover, the departure and arrival times of freight trains are approximated. The problem has a strategic character since it asks only for a coarse routing through the network without the precise timings. We give a mixed-integer nonlinear programming~(MINLP) formulation for FTRP, which is a multi-commodity flow model on a time-expanded graph with additional routing constraints. The model's nonlinearities are due to an algebraic approximation of the delays of the trains on the arcs of the network by capacity restraint functions. The MINLP is reduced to a mixed-integer linear model~(MILP) by piecewise linear approximation. The latter is solved by a state of the art MILP solver for various real-world test instances. T3 - ZIB-Report - 13-36 KW - Mixed-Integer Nonlinear Programming KW - multi-commodity flows KW - freight train routing Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-18991 ER - TY - GEN A1 - Frank, Martin A1 - Fügenschuh, Armin A1 - Herty, Michael A1 - Schewe, Lars T1 - The Coolest Path Problem N2 - We introduce the coolest path problem, which is a mixture of two well-known problems from distinct mathematical fields. One of them is the shortest path problem from combinatorial optimization. The other is the heat conduction problem from the field of partial differential equations. Together, they make up a control problem, where some geometrical object traverses a digraph in an optimal way, with constraints on intermediate or the final state. We discuss some properties of the problem and present numerical solution techniques. We demonstrate that the problem can be formulated as a linear mixed-integer program. Numerical solutions can thus be achieved within one hour for instances with up to 70 nodes in the graph. T3 - ZIB-Report - 09-37 Y1 - 2009 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-11571 SN - 1438-0064 ER - TY - GEN A1 - Humpola, Jesco A1 - Fügenschuh, Armin T1 - A New Class of Valid Inequalities for Nonlinear Network Design Problems N2 - We consider a nonlinear nonconvex network design problem that arises in the extension of natural gas transmission networks. Given is such network with active and passive components, that is, valves, compressors, pressure regulators (active) and pipelines (passive), and a desired amount of flow at certain specified entry and exit nodes of the network. Besides flow conservation constraints in the nodes the flow must fulfill nonlinear nonconvex pressure loss constraints on the arcs subject to potential values (i.e., pressure levels) in both end nodes of each arc. Assume that there does not exist a feasible flow that fulfills all physical constraints and meets the desired entry and exit amounts. Then a natural question is where to extend the network by adding pipes in the most economic way such that this flow becomes feasible. Answering this question is computationally demanding because of the difficult problem structure. We use mixed-integer nonlinear programming techniques that rely on an outer approximation of the overall problem, and a branching on decision variables. We formulate a new class of valid inequalities (or cutting planes) which reduce the overall solution time when added to the formulation. We demonstrate the computational merits of our approach on test instances. T3 - ZIB-Report - 13-06 KW - Network Design KW - Mixed-Integer Nonlinear Programming KW - Cutting Planes Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-17771 SN - 1438-0064 ER - TY - JOUR A1 - Pfetsch, Marc A1 - Fügenschuh, Armin A1 - Geißler, Björn A1 - Geißler, Nina A1 - Gollmer, Ralf A1 - Hiller, Benjamin A1 - Humpola, Jesco A1 - Koch, Thorsten A1 - Lehmann, Thomas A1 - Martin, Alexander A1 - Morsi, Antonio A1 - Rövekamp, Jessica A1 - Schewe, Lars A1 - Schmidt, Martin A1 - Schultz, Rüdiger A1 - Schwarz, Robert A1 - Schweiger, Jonas A1 - Stangl, Claudia A1 - Steinbach, Marc A1 - Vigerske, Stefan A1 - Willert, Bernhard T1 - Validation of Nominations in Gas Network Optimization: Models, Methods, and Solutions JF - Optimization Methods and Software N2 - 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. Y1 - 2014 U6 - https://doi.org/10.1080/10556788.2014.888426 PB - Taylor & Francis ER - TY - JOUR A1 - Fügenschuh, Armin A1 - Geißler, Björn A1 - Gollmer, Ralf A1 - Hayn, Christine A1 - Henrion, René A1 - Hiller, Benjamin A1 - Humpola, Jesco A1 - Koch, Thorsten A1 - Lehmann, Thomas A1 - Martin, Alexander A1 - Mirkov, Radoslava A1 - Morsi, Antonio A1 - Römisch, Werner A1 - Rövekamp, Jessica A1 - Schewe, Lars A1 - Schmidt, Martin A1 - Schultz, Rüdiger A1 - Schwarz, Robert A1 - Schweiger, Jonas A1 - Stangl, Claudia A1 - Steinbach, Marc A1 - Willert, Bernhard T1 - Mathematical optimization for challenging network planning problems in unbundled liberalized gas markets JF - Energy Systems N2 - The recently imposed new gas market liberalization rules in Germany lead to a change of business of gas network operators. While previously network operator and gas vendor were united, they were forced to split up into independent companies. The network has to be open to any other gas trader at the same conditions, and free network capacities have to be identified and publicly offered in a non-discriminatory way. We discuss how these changing paradigms lead to new and challenging mathematical optimization problems. This includes the validation of nominations, that asks for the decision if the network’s capacity is sufficient to transport a specific amount of flow, the verification of booked capacities and the detection of available freely allocable capacities, and the topological extension of the network with new pipelines or compressors in order to increase its capacity. In order to solve each of these problems and to provide meaningful results for the practice, a mixture of different mathematical aspects have to be addressed, such as combinatorics, stochasticity, uncertainty, and nonlinearity. Currently, no numerical solver is available that can deal with such blended problems out-of-the-box. The main goal of our research is to develop such a solver, that moreover is able to solve instances of realistic size. In this article, we describe the main ingredients of our prototypical software implementations. Y1 - 2013 U6 - https://doi.org/10.1007/s12667-013-0099-8 VL - 5 IS - 3 SP - 449 EP - 473 PB - Springer Berlin Heidelberg CY - Berlin ER - TY - JOUR A1 - Borndörfer, Ralf A1 - Fügenschuh, Armin A1 - Klug, Torsten A1 - Schang, Thilo A1 - Schlechte, Thomas A1 - Schülldorf, Hanno T1 - The Freight Train Routing Problem for Congested Railway Networks with Mixed Traffic JF - Transportation Science N2 - We consider the following freight train routing problem (FTRP). Given is a transportation network with fixed routes for passenger trains and a set of freight trains (requests), each defined by an origin and destination station pair. The objective is to calculate a feasible route for each freight train such that the sum of all expected delays and all running times is minimal. Previous research concentrated on microscopic train routings for junctions or inside major stations. Only recently approaches were developed to tackle larger corridors or even networks. We investigate the routing problem from a strategic perspective, calculating the routes in a macroscopic transportation network of Deutsche Bahn AG. In this context, macroscopic refers to an aggregation of complex and large real-world structures into fewer network elements. Moreover, the departure and arrival times of freight trains are approximated. The problem has a strategic character since it asks only for a coarse routing through the network without the precise timings. We provide a mixed-integer nonlinear programming (MINLP) formulation for the FTRP, which is a multicommodity flow model on a time-expanded graph with additional routing constraints. The model’s nonlinearities originate from an algebraic approximation of the delays of the trains on the arcs of the network by capacity restraint functions. The MINLP is reduced to a mixed-integer linear model (MILP) by piecewise linear approximation. The latter is solved by a state-of-the art MILP solver for various real-world test instances. Y1 - 2016 U6 - https://doi.org/10.1287/trsc.2015.0656 VL - 50 IS - 2 SP - 408 EP - 423 ER - TY - CHAP A1 - Brose, Achim A1 - Fügenschuh, Armin A1 - Gausemeier, Pia A1 - Vierhaus, Ingmar A1 - Seliger, Günther T1 - A System Dynamic Enhancement for the Scenario Technique T2 - Proc. 11th Global Conference on Sustainable Manufacturing N2 - 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. Y1 - 2013 SP - 561 EP - 566 PB - Universitätsverlag der TU Berlin CY - Berlin ER - TY - CHAP A1 - Scheumann, René A1 - Vierhaus, Ingmar A1 - Chang, Ya-Ju A1 - Fügenschuh, Armin A1 - Finkbeiner, Matthias T1 - Identification of trade-offs for sustainable manufacturing of a Bamboo Bike by System Dynamics T2 - Proceedings of the 27. Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management N2 - 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. Y1 - 2013 SP - 523 EP - 531 ER - TY - CHAP A1 - Fügenschuh, Armin A1 - van Veldhuizen, Roel A1 - Vierhaus, Ingmar T1 - Production Planning for Non-Cooperating Companies with Nonlinear Optimization T2 - 11th Global Conference on Sustainable Manufacturing : Proceedings N2 - 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. Y1 - 2013 SP - 536 EP - 541 PB - Universitätsverlag der TU Berlin CY - Berlin ER - TY - CHAP A1 - Fügenschuh, Armin A1 - Vierhaus, Ingmar T1 - System Dynamic Optimization in the Sustainability Assessment of a World-Model T2 - 11th Global Conference on Sustainable Manufacturing : Proceedings N2 - 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. Y1 - 2013 SP - 530 EP - 535 PB - Universitätsverlag der TU Berlin CY - Berlin ER - TY - CHAP A1 - Fügenschuh, Armin A1 - Hiller, Benjamin A1 - Humpola, Jesco A1 - Koch, Thorsten A1 - Lehmann, Thomas A1 - Schwarz, Robert A1 - Schweiger, Jonas A1 - Szabo, Jacint T1 - Gas Network Topology Optimization for Upcoming Market Requirements T2 - International Conference on the European Energy Market (EEM) N2 - 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. Y1 - 2011 U6 - https://doi.org/10.1109/EEM.2011.5953035 SP - 346 EP - 351 ER - TY - CHAP A1 - Scheumann, René A1 - Fügenschuh, Armin A1 - Schenker, Sebastian A1 - Vierhaus, Ingmar A1 - Borndörfer, Ralf A1 - Finkbeiner, Matthias ED - Seliger, Günther T1 - Global Manufacturing: How to Use Mathematical Optimisation Methods to Transform to Sustainable Value Creation BT - (GCSM 2012) T2 - Proceedings of the 10th Global Conference on Sustainable Manufacturing Y1 - 2012 SN - 978-605-63463-1-6 SP - 538 EP - 545 ER - TY - THES A1 - Fügenschuh, Armin T1 - Computational aspects of time in scheduling and dynamic flow problems Y1 - 2011 ER - TY - CHAP A1 - Schenker, Sebastian A1 - Vierhaus, Ingmar A1 - Borndörfer, Ralf A1 - Fügenschuh, Armin A1 - Skutella, Martin ED - Stark, Rainer ED - Seliger, Günther ED - Bonvoisin, Jérémy T1 - Optimisation Methods in Sustainable Manufacturing BT - Challenges, Solutions and Implementation Perspectives T2 - Sustainable Manufacturing N2 - Sustainable manufacturing is driven by the insight that the focus on the economic dimension in current businesses and lifestyles has to be broadened to cover all three pillars of sustainability: economic development, social development, and environmental protection. Y1 - 2017 SN - 978-3-319-48514-0 U6 - https://doi.org/10.1007/978-3-319-48514-0_15 SP - 239 EP - 253 PB - Springer International Publishing ER - TY - CHAP A1 - Vierhaus, Ingmar A1 - Fügenschuh, Armin T1 - Global and Local Optimal Control of a Resource Utilization Problem T2 - Proceedings of the 33rd International Conference of the System Dynamics Society N2 - System Dynamic models describe physical, technical, economical, or social systems using differential and algebraic equations. In their purest form, these models are intended to describe the evolution of a system from a given initial state. In many applications, it is possible to intervene with the system in order to obtain a desired dynamic or a certain outcome in the end. On the mathematical side, this leads to control problems, where aside from the simulation one has to find optimal intervention functions over time that maximize a specific objective function. Using a dynamical model for the utilization of a natural nonrenewable resource of Behrens as a demonstrator example, we present two main mathematical solution strategies. They are distinguished by the quality certificate on their respective solution: one leads to proven local optimal solution, and the other technique yields proven global optimal solutions. We present implementational and numerical issues, and a comparison of both methods. Y1 - 2015 ER - TY - GEN A1 - Fügenschuh, Armin A1 - Vierhaus, Ingmar T1 - System Dynamic Optimization in the Sustainability Assessment of a World-Model N2 - 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. T3 - ZIB-Report - 13-23 KW - System Dynamics; Mixed-Integer Nonlinear Optimization Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-18148 UR - http://opus4.kobv.de/opus4-tuberlin/frontdoor/index/index/docId/4026 SN - 1438-0064 ER - TY - GEN A1 - Brose, Achim A1 - Fügenschuh, Armin A1 - Gausemeier, Pia A1 - Vierhaus, Ingmar A1 - Seliger, Günther T1 - A System Dynamic Enhancement for the Scenario Technique N2 - 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. T3 - ZIB-Report - 13-24 KW - Scenario Technique; System Dynamics Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-18150 UR - http://opus4.kobv.de/opus4-tuberlin/frontdoor/index/index/docId/4026 SN - 1438-0064 ER - TY - GEN A1 - Fügenschuh, Armin A1 - van Veldhuizen, Roel A1 - Vierhaus, Ingmar T1 - Production Planning for Non-Cooperating Companies with Nonlinear Optimization N2 - 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. T3 - ZIB-Report - 13-25 KW - Non-Cooperative Two-Person Games; Mixed-Integer Nonlinear Optimization Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-18163 UR - http://opus4.kobv.de/opus4-tuberlin/frontdoor/index/index/docId/4026 SN - 1438-0064 ER - TY - GEN A1 - Fügenschuh, Armin A1 - Vierhaus, Ingmar T1 - A Global Approach to the Optimal Control of System Dynamics Models N2 - 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 ordinary differential equations and nonlinear algebraic constraints. Therefore seemingly simple systems can show a nonintuitive, unpredictable behavior over time. Controlling a dynamical system means to specify potential interventions from outside that should keep the system on the desired track, and to define an evaluation schema to compare different controls among each other, so that a "best" control can be defined in a meaningful way. The central question is how to compute such globally optimal control for a given SD model, that allows the transition of the system into a desired state with minimum effort. We propose a mixed-integer nonlinear programming (MINLP) reformulation of the System Dynamics Optimization (SDO) problem. MINLP problems can be solved by linear programming based branch-and-bound approach. We demonstrate that standard MINLP solvers are not able to solve SDO problem. To overcome this obstacle, we introduce a special-tailored bound propagation method. We apply our new method to a predator-prey model with additional hunting activity as control, and to a mini-world model with the consumption level as control. Numerical results for these test cases are presented. T3 - ZIB-Report - 13-28 KW - System Dynamics KW - Global Optimal Control KW - Mixed-Integer Nonlinear Optimization KW - Bounds Strengthening Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-18600 SN - 1438-0064 ER - TY - CHAP A1 - Fügenschuh, Armin A1 - Gausemeier, Pia A1 - Seliger, Günther A1 - Severengiz, Semih ED - Dangelmaier, W. T1 - Scenario Technique with Integer Programming for Sustainability in Manufacturing T2 - 8th International Heinz Nixdorf Symposium, Changing Paradigms Y1 - 2010 SP - 320 EP - 331 ER - TY - CHAP A1 - Fügenschuh, Armin A1 - Defterli, Özlem A1 - Weber, Gehard-Wilhelm T1 - New Discretization and Optimization Techniques with Results in the Dynamics of Gene-Environment Networks T2 - 3rd Global Conference on Power Control and Optimization (PCO 2010) Y1 - 2010 ER - TY - CHAP A1 - Fügenschuh, Armin A1 - Homfeld, Henning A1 - Schülldorf, Hanno ED - Barnhart, Cynthia ED - Clausen, Uwe ED - Lauther, Ulrich ED - Möhring, Rolf T1 - Single Car Routing in Rail Freight Transport T2 - Dagstuhl Seminar Proceedings 09261, Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Deutschland Y1 - 2009 ER - TY - CHAP A1 - Fügenschuh, Armin A1 - ler, Björn A1 - Martin, Alexander A1 - Morsi, Antonio ED - Barnhart, Cynthia ED - Clausen, Uwe ED - Lauther, Ulrich ED - Möhring, Rolf T1 - The Transport PDE and Mixed-Integer Linear Programming T2 - Dagstuhl Seminar Proceedings 09261, Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Deutschland Y1 - 2009 ER - TY - CHAP A1 - Dsoki, Chalid A1 - Fügenschuh, Armin A1 - Hanselka, Holger A1 - Hochbaum, Dorit A1 - Hernandez-Magallanes, Irma A1 - Moreno-Centeno, Erick A1 - Peter, Andrea ED - Groche, P. T1 - Das ANSLC-Programm und das SDM im Vergleich T2 - Sonderforschungsbereich 666 Y1 - 2008 SP - 97 EP - 106 ER - TY - CHAP A1 - Fügenschuh, Armin A1 - Hess, Wolfgang A1 - Schewe, Lars A1 - Martin, Alexander A1 - Ulbrich, Stefan ED - Groche, P. T1 - Verfeinerte Modelle zur Topologie- und Geometrie-Optimierung von Blechprofilen mit Kammern T2 - Sonderforschungsbereich 666 Y1 - 2008 SP - 17 EP - 28 ER - TY - CHAP A1 - Balaprakash, Prasanna A1 - Fügenschuh, Armin A1 - Homfeld, Henning A1 - Schoch, Michael A1 - Stützle, Thomas A1 - Yuan, Zhi ED - Aguilera, María J. T1 - Iterated Greedy Algorithms for a Real-World Cyclic Train Scheduling Problem T2 - Hybrid Metaheuristics, 4th International Workshop, HM 2008, Malaga, Spain, October 8-9, 2008 Y1 - 2008 SP - 21 EP - 31 ER - TY - CHAP A1 - Fügenschuh, Armin A1 - Martin, Alexander T1 - Mixed-integer models for topology optimization in sheet metal design T2 - Sixth International Congress on Industrial Applied Mathematics (ICIAM07) and GAMM Annual Meeting, Zürich 2007 Y1 - 2007 SP - 2060049 EP - 2060050 ER - TY - CHAP A1 - Fügenschuh, Armin A1 - Prick, Matthias A1 - Stöveken, Peter T1 - Ausschreibung von Linienbündeln versus Schulzeitkoordinierung? T2 - VWT Conference e-Proceedings Y1 - 2007 ER - TY - CHAP A1 - Birkhofer, Herbert A1 - Fügenschuh, Armin A1 - Martin, Alexander A1 - Wäldele, Martin T1 - Algorithmenbasierte Produktentwicklung für integrale Blechbauweisen höherer Verzweigungsordnung T2 - Optimierung in der Produktentwicklung, 5. Geimeinsames Kolloquium Konstruktionstechnik Y1 - 2007 ER - TY - CHAP A1 - Fügenschuh, Armin ED - Aguilera, María J. ED - Blum, Christian ED - Roli, Andrea ED - Sampels, Michael T1 - Parametrized Greedy Heuristics in Theory and Practice T2 - Hybrid Metaheuristics, Second International Workshop, HM 2005, Barcelona Y1 - 2005 SP - 21 EP - 31 ER - TY - CHAP A1 - Fügenschuh, Armin ED - Jaszkiewicz, A. ED - Kaczmarek, M. ED - Zak, J. ED - Kubiak, M. T1 - Scheduling Buses in Rural Areas T2 - Advanced OR and AI Methods in Transportation, 10th EWGT / 16th Mini-Euro Conference Proceedings, Poznan Y1 - 2005 SP - 706 EP - 711 ER - TY - CHAP A1 - Eisenblätter, Andreas A1 - Fügenschuh, Armin A1 - Geerdes, Hans-Florian A1 - Junglas, Daniel A1 - Koch, Thorsten A1 - Martin, Alexander T1 - Integer Programming Methods for UMTS Radio Network Planning T2 - Proceedings of the WiOpt’04, Cambridge, UK Y1 - 2004 ER - TY - CHAP A1 - Fügenschuh, Armin A1 - Martin, Alexander A1 - Stöveken, Peter ED - Bixby, Robert E. ED - Simchi-Levi, D. ED - Martin, Alexander ED - Zimmermann, U. T1 - Integrated Optimization of School Starting Times and Public Bus Services T2 - Mathematics in the Supply Chain Y1 - 2004 ER - TY - CHAP A1 - Fügenschuh, Armin A1 - Martin, Alexander ED - Aardal, Karen I. ED - Nemhauser, George ED - Weismantel, R. T1 - Computational Integer Programming and Cutting Planes T2 - Handbooks in Operations Research and Management Science, Vol. 12 Y1 - 2005 SP - 69 EP - 122 PB - North-Holland ER - TY - CHAP A1 - Fügenschuh, Armin ED - Görts, W. T1 - Von Mikrochips, Proteinen und Schulbussen – Projektproseminare im Mathematikstudium T2 - Projektveranstaltungen in Mathematik, Informatik und Ingenieurwissenschaften Y1 - 2003 SP - 21 EP - 43 PB - UVW UniversitätsVerlagWebler, Bielefeld ER - TY - CHAP A1 - Eisenblätter, Andreas A1 - Fügenschuh, Armin A1 - Koch, Thorsten A1 - Koster, Arie M.C.A. A1 - Martin, Alexander A1 - Pfender, Tobias A1 - Wegel, Oliver A1 - Wessäly, Roland ED - G. Anandalingam, S. T1 - Mathematical Model of Feasible Network Configurations for UMTS T2 - Telecommunications network design and management Y1 - 2002 SP - 1 EP - 24 PB - Kluwer ER - TY - JOUR A1 - Dür, Mirjam A1 - Fügenschuh, Armin A1 - Martin, Alexander A1 - Schabel, Samuel A1 - Schönberger, Christine A1 - Villforth, Klaus T1 - Steuerung einer Sortieranlage, z.B. für Altpapier JF - Europäische Patentanmeldung Y1 - 2010 VL - EP 09 718 564.9 ER - TY - JOUR A1 - Dür, Mirjam A1 - Fügenschuh, Armin A1 - Martin, Alexander A1 - Schabel, Samuel A1 - Schönberger, Christine A1 - Villforth, Klaus T1 - Verfahren zum Einstellen und/oder Optimieren einer einen Gutstoff von einem Schlechtstoff trennenden Sortieranlage und Sortieranlage JF - Deutsches Patent Y1 - 2008 VL - DE 10 2008 013 034 ER - TY - JOUR A1 - Dür, Mirjam A1 - Fügenschuh, Armin A1 - Martin, Alexander A1 - Ulbrich, Stefan T1 - Verfahren und Vorrichtung zum Auswuchten von wellenelastischen Rotoren JF - Deutsche Patentanmeldung Y1 - 2006 VL - DE 10 2006 060 583.7 ER - TY - CHAP A1 - Fügenschuh, Armin A1 - Göttlich, Simone A1 - Herty, Michael ED - Günther, H.-O. ED - Mattfeld, D. ED - Suhl, L. T1 - A new modeling approach for an integrated simulation and optimization of production networks T2 - Management logistischer Netzwerke Y1 - 2007 SP - 45 EP - 60 ER - TY - CHAP A1 - Fügenschuh, Armin A1 - Göttlich, Simone A1 - Herty, Michael ED - Oberweis, A. ED - Weinhardt, C. ED - Gimpel, H. ED - Koschmider, A. ED - Pankratius, V. ED - Schnizler, B. T1 - Water Contamination Detection T2 - eOrganisation Y1 - 2007 SP - 501 EP - 518 ER - TY - CHAP A1 - Fügenschuh, Armin A1 - Hess, Wolfgang A1 - Martin, Alexander A1 - Ulbrich, Stefan ED - Groche, P. T1 - Diskrete und kontinuierliche Modelle zur Topologie- und Geometrie-Optimierung von Blechprofilen T2 - Sonderforschungsbereich 666 Y1 - 2007 SP - 37 EP - 47 ER - TY - CHAP A1 - Fügenschuh, Armin ED - Waldmann, Karl-Heinz ED - Stocker, Ulrike T1 - Scheduling Buses and School Starting Times T2 - Operations Research Proceedings Y1 - 2007 SP - 17 EP - 22 ER - TY - CHAP A1 - Birkhofer, Herbert A1 - Fügenschuh, Armin A1 - Günther, Ute A1 - Junglas, Daniel A1 - Martin, Alexander A1 - Sauer, Thorsten A1 - Ulbrich, Stefan A1 - Wäldele, Martin A1 - Walter, Stephan ED - Haasis, Hans-Dietrich ED - Kopfer, Herbert ED - Schönberger, Jörn T1 - Topology- and shape-optimization of branched sheet metal products T2 - Operations Research Proceedings Y1 - 2006 SP - 327 EP - 336 ER - TY - CHAP A1 - Fügenschuh, Armin A1 - Höfler, Benjamin ED - Gottlieb, J. ED - Raidl, G. T1 - Parametrized GRASP Heuristics for Three-Index Assignment T2 - Evolutionary Computation in Combinatorial Optimization Y1 - 2006 SP - 61 EP - 72 ER - TY - CHAP A1 - Fügenschuh, Armin A1 - Homfeld, Henning A1 - Huck, Andreas A1 - Martin, Alexander ED - Jacob, R. ED - Müller-Hannemann, Matthias T1 - Locomotive and Wagon Scheduling in Freight Transport T2 - Proceedings of the ATMOS06 Y1 - 2006 ER - TY - CHAP A1 - Fügenschuh, Armin A1 - Martin, Alexander A1 - Stöveken, Peter ED - Fleuren, Hein ED - den Hertog, Dick ED - Kort, Peter T1 - Integrated Optimization of School Starting Times and Public Bus Services T2 - Operations Research Proceedings Y1 - 2005 SP - 150 EP - 157 ER - TY - CHAP A1 - Fügenschuh, Armin A1 - Martin, Alexander A1 - Mehlert, Christian A1 - Stöveken, Peter ED - Günther, H.-O. ED - Mattfeld, D. ED - Suhl, L. T1 - Ein Planungstool zur Schulzeitstaffelung T2 - Supply Chain Management und Logistik Y1 - 2005 SP - 419 EP - 436 ER - TY - CHAP A1 - Fügenschuh, Armin A1 - Stöveken, Peter T1 - Integrierte Optimierung der Schulanfangszeit und des Nahverkehrs-Angebots T2 - Tagungsband der Heureka’05 – Optimierung in Verkehr und Transport Y1 - 2005 SP - 265 EP - 278 ER - TY - GEN A1 - Fügenschuh, Armin T1 - Einsatzplanung von ÖPNV-Bussen Y1 - 2002 PB - Mathematische Modellierung mit Schülern - Die Modellierungswoche im Kloster Höchst. M. Kiehl, A. Schich, S. Purpus (Hrsg.). Zentrum für Mathematik, Bensheim ER - TY - GEN A1 - Fügenschuh, Armin T1 - Proteinfaltung Y1 - 2001 PB - Mathematische Modellierung mit Schülern - Die Modellierungswoche im Kloster Höchst. M. Kiehl, A. Schich, S. Purpus (Hrsg.). Zentrum für Mathematik, Bensheim ER - TY - BOOK A1 - Fügenschuh, Armin T1 - The Integrated Optimization of School Starting Times and Public Bus Services Y1 - 2005 PB - Logos Verlag Berlin ER - TY - THES A1 - Fügenschuh, Armin T1 - Zur Bergman-Vollständigkeit hyperkonvexer Gebiete Y1 - 2000 ER - TY - JOUR A1 - Frank, Martin A1 - Fügenschuh, Armin A1 - Herty, Michael A1 - Schewe, Lars T1 - The Coolest Path Problem JF - Networks and Heterogeneous Media Y1 - 2010 VL - 5 IS - 1 SP - 143 EP - 162 ER - TY - JOUR A1 - Fügenschuh, Armin A1 - Göttlich, Simone A1 - Kirchner, Claus A1 - Herty, Michael A1 - Martin, Alexander T1 - Efficient Reformulation and Solution of a Nonlinear PDE-Controlled Flow Network Model JF - Computing Y1 - 2009 VL - 85 IS - 3 SP - 245 EP - 265 ER - TY - JOUR A1 - Dittel, Agnes A1 - Fügenschuh, Armin A1 - Göttlich, Simone A1 - Herty, Michael T1 - MIP Presolve Techniques for a PDE-based Supply Chain Model JF - Optimization Methods & Software Y1 - 2009 VL - 24 IS - 3 SP - 427 EP - 445 ER - TY - JOUR A1 - Fügenschuh, Armin T1 - Solving a School Bus Scheduling Problem with Integer Programming JF - European Journal of Operational Research Y1 - 2009 VL - 193 IS - 3 SP - 867 EP - 884 ER - TY - JOUR A1 - Fügenschuh, Armin A1 - Homfeld, Henning A1 - Huck, Andreas A1 - Martin, Alexander A1 - Yuan, Zhi T1 - Scheduling Locomotives and Car Transfers in Freight Transport JF - Transportation Science Y1 - 2008 VL - 42 IS - 4 SP - 1 EP - 14 ER - TY - JOUR A1 - Fügenschuh, Armin A1 - Fügenschuh, Marzena T1 - Integer Linear Programming Models for Topology Optimization in Sheet Metal Design JF - Mathematical Methods of Operations Research Y1 - 2008 VL - 68 IS - 2 SP - 313 EP - 331 ER - TY - JOUR A1 - Fügenschuh, Armin A1 - Göttlich, Simone A1 - Herty, Michael A1 - Klar, Alexander A1 - Martin, Alexander T1 - A Discrete Optimization Approach to Large Scale Supply Networks Based on Partial Differential Equations JF - SIAM Journal on Scientific Computing Y1 - 2008 VL - 30 IS - 3 SP - 1490 EP - 1507 ER - TY - JOUR A1 - Fügenschuh, Armin A1 - Martin, Alexander T1 - A Multicriterial Approach for Optimizing Bus Schedules and School Starting Times JF - Annals of Operations Research Y1 - 2006 VL - 147 IS - 1 SP - 199 EP - 216 ER - TY - JOUR A1 - Fügenschuh, Armin T1 - The Vehicle Routing Problem with Coupled Time Windows JF - Central European Journal of Operations Research Y1 - 2006 VL - 14 IS - 2 SP - 157 EP - 176 ER - TY - JOUR A1 - Fügenschuh, Armin A1 - Martin, Alexander T1 - Welche Gemeinsamkeiten haben Jugendliche und Groß banken? JF - mathematiklehren Y1 - 2006 VL - 129 SP - 50 EP - 54 ER - TY - JOUR A1 - Fügenschuh, Armin A1 - Herty, Michael A1 - Klar, Axel A1 - Martin, Alexander T1 - Combinatorial and Continuous Models and Optimization for Traffic Flow on Networks JF - SIAM Journal on Optimization Y1 - 2006 VL - 16 IS - 4 SP - 1155 EP - 1176 ER - TY - JOUR A1 - Fügenschuh, Armin A1 - Stöveken, Peter T1 - Integrierte Optimierung des ÖPNV-Angebots und der Schulanfangszeiten JF - Straß enverkehrstechnik Y1 - 2005 VL - 49 IS - 6 SP - 281 EP - 287 ER - TY - CHAP A1 - Fügenschuh, Armin A1 - Homfeld, Henning A1 - Schülldorf, Hanno A1 - Vigerske, Stefan ED - Rodrigues, H. T1 - Mixed-Integer Nonlinear Problems in Transportation Applications T2 - Proceedings of the 2nd International Conference on Engineering Optimization (+CD-rom) Y1 - 2010 ER - TY - JOUR A1 - Fügenschuh, Armin A1 - Martin, Alexander T1 - Verfahren und Vorrichtung zur automatischen Optimierung von Schulanfangszeiten und des öffentlichen Personenverkehrs und entsprechendes Computerprogramm JF - Deutsche Patentanmeldung Y1 - 2004 VL - DE 10 2004 020 786.0 ER - TY - GEN A1 - Eisenblätter, Andreas A1 - Fügenschuh, Armin A1 - Geerdes, Hans-Florian A1 - Koch, Thorsten A1 - Türke, Ulrich A1 - Meijerink, Ellen T1 - XML Data Specification and Documentation Y1 - 2003 PB - IST-2000-28088 MOMENTUM Technical Report ER - TY - JOUR A1 - Fügenschuh, Armin T1 - Scheduling School Starting Times and Public Buses JF - SIAG/OPT Views-and-News Y1 - 2009 VL - 20 IS - 1 SP - 1 EP - 6 ER - TY - JOUR A1 - Fügenschuh, Armin T1 - Spalten am Stück – Maschinenbauer, Materialwissenschaftler und Mathematiker erfinden die Blechbearbeitung neu JF - hoch$^3$ Y1 - 2007 VL - 2 SP - 19 ER - TY - JOUR A1 - Fügenschuh, Armin T1 - Bestes Blech – Der hochkomplexe unsichtbare Weg zum präzisen und belastbaren Bauteil JF - hoch$^3$ Y1 - 2007 VL - 2 SP - 20 ER - TY - JOUR A1 - Fügenschuh, Armin T1 - Optimierte Schulanfangszeiten JF - OR News Y1 - 2006 VL - 28 SP - 25 EP - 27 ER - TY - JOUR A1 - Dür, Mirjam A1 - Fügenschuh, Armin A1 - Huhn, Petra A1 - Klamroth, Kathrin A1 - Saliba, Sleman A1 - Tammer, Christiane T1 - EURO Summer Institute 2006 in Wittenberg JF - OR News Y1 - 2006 VL - 28 SP - 71 EP - 72 ER - TY - GEN A1 - Fügenschuh, Armin T1 - Optimale Schulanfangszeiten Y1 - 2006 PB - Bild der Wissenschaft 11/2006, Sonderbeilage zum Klaus-Tschira-Preis ER - TY - JOUR A1 - Fügenschuh, Armin T1 - Optimal verknüpft - Schulanfangszeiten und öffentlicher Personennahverkehr JF - thema forschung Y1 - 2006 VL - 1 SP - 82 EP - 85 ER - TY - JOUR A1 - Fügenschuh, Armin T1 - Mathematische Modelle zur betrieblichen Optimierung JF - Z! - das Zukunftsmagazin Y1 - 2006 VL - 1 SP - 3 ER - TY - CHAP A1 - Eisenblätter, Andreas A1 - Koch, Thorsten A1 - Martin, Alexander A1 - Achterberg, Tobias A1 - Fügenschuh, Armin A1 - Koster, Arie M.C.A. A1 - Wegel, Oliver A1 - Wessäly, Roland ED - Anandalingam, G. ED - Raghavan, S. T1 - Modelling Feasible Network Configurations for UMTS T2 - Telecommunications Network Design and Management Y1 - 2003 UR - http://opus.kobv.de/zib/volltexte/2002/684/ PB - Kluver ER - TY - CHAP A1 - Eisenblätter, Andreas A1 - Fügenschuh, Armin A1 - Geerdes, Hans-Florian A1 - Junglas, Daniel A1 - Koch, Thorsten A1 - Martin, Alexander ED - Ahr, Dino ED - Fahrion, Roland ED - Oswald, Marcus ED - Reinelt, Gerhard T1 - Optimisation Methods for UMTS Radio Network Planning T2 - Operation Research Proceedings 2003 Y1 - 2003 U6 - https://doi.org/10.1007/978-3-642-17022-5_5 SP - 31 EP - 38 PB - Springer ER - TY - JOUR A1 - Eisenblätter, Andreas A1 - Fügenschuh, Armin A1 - Fledderus, E. A1 - Geerdes, Hans-Florian A1 - Heideck, B. A1 - Junglas, Daniel A1 - Koch, Thorsten A1 - Kürner, T. A1 - Martin, Alexander ED - Martin, Alexander T1 - Mathematical Methods for Automatic Optimization of UMTS Radio Networks Y1 - 2003 UR - http://momentum.zib.de/paper/momentum-d43.pdf IS - D4.3 PB - IST-2000-28088 MOMENTUM ER - TY - CHAP A1 - Fügenschuh, Armin A1 - Homfeld, Henning A1 - Martin, Alexander T1 - Leitwegeplanung T2 - Mathematik für Innovationen in Industrie und Dienstleistungen Y1 - 2007 ER - TY - CHAP A1 - Vierhaus, Ingmar A1 - Fügenschuh, Armin T1 - A Global Approach to the Optimal Control of System Dynamics Models T2 - Proceedings of the 31st International Conference of the System Dynamics Society N2 - 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 ordinary differential equations and nonlinear algebraic constraints. Seemingly simple systems can show a nonintuitive, unpredictable behavior over time. Controlling a dynamical system means to specify potential interventions from outside that should keep the system on the desired track, and to define an evaluation schema to compare different controls among each other, so that a ``best'' control can be defined in a meaningful way. The central question is how to compute such globally optimal control for a given SD model, that allows the transition of the system into a desired state with minimum effort. We propose a mixed-integer nonlinear programming (MINLP) reformulation of the System Dynamics Optimization (SDO) problem. MINLP problems can be solved by linear programming based branch-and-bound approach. We demonstrate that standard MINLP solvers are not able to solve SDO problem. To overcome this obstacle, we introduce a special-tailored bound propagation method. Numerical results for these test cases are presented. Y1 - 2013 ER - TY - CHAP A1 - Vierhaus, Ingmar A1 - Fügenschuh, Armin A1 - Gottwald, Robert Lion A1 - Grösser, Stefan T1 - Modern Nonlinear Optimization Techniques for an Optimal Control of System Dynamics Models T2 - Proceedings of the 32nd International Conference of the System Dynamics Society N2 - We study System Dynamics models with several free parameters that can be altered by the user. We assume that the user's goal is to achieve a certain dynamic behavior of the model by varying these parameters. In order to find best possible combination of parameter settings, several automatic parameter tuning methods are described in the literature and readily available within existing System Dynamic software packages. We give a survey on the available techniques in the market and describe their theoretical background. Some of these methods are already six decades old, and meanwhile newer and more powerful optimization methods have emerged in the mathematical literature. One major obstacle for their direct use are tabled data in System Dynamics models, which are usually interpreted as piecewise linear functions. However, modern optimization methods usually require smooth functions which are twice continuously differentiable. We overcome this problem by a smooth spline interpolation of the tabled data. We use a test set of three complex System Dynamic models from the literature, describe their individual transition into optimization problems, and demonstrate the applicability of modern optimization algorithms to these System Dynamics Optimization problems. Y1 - 2014 ER - TY - CHAP A1 - Humpola, Jesco A1 - Fügenschuh, Armin A1 - Hiller, Benjamin A1 - Koch, Thorsten A1 - Lehmann, Thomas A1 - Lenz, Ralf A1 - Schwarz, Robert A1 - Schweiger, Jonas T1 - The Specialized MINLP Approach T2 - Evaluating Gas Network Capacities N2 - We propose an approach to solve the validation of nominations problem using mixed-integer nonlinear programming (MINLP) methods. Our approach handles both the discrete settings and the nonlinear aspects of gas physics. Our main contribution is an innovative coupling of mixed-integer (linear) programming (MILP) methods with nonlinear programming (NLP) that exploits the special structure of a suitable approximation of gas physics, resulting in a global optimization method for this type of problem. Y1 - 2015 SN - 9781611973686 VL - SIAM-MOS series on Optimization ER - TY - GEN A1 - Humpola, Jesco A1 - Fügenschuh, Armin A1 - Lehmann, Thomas T1 - A Primal Heuristic for MINLP based on Dual Information N2 - We present a novel heuristic algorithm to identify feasible solutions of a mixed-integer nonlinear programming problem arising in natural gas transportation: the selection of new pipelines to enhance the network's capacity to a desired level in a cost-efficient way. We solve this problem in a linear programming based branch-and-cut approach, where we deal with the nonlinearities by linear outer approximation and spatial branching. At certain nodes of the branching tree, we compute a KKT point for a nonlinear relaxation. Based on the information from the KKT point we alter some of the integer variables in a locally promising way. We describe this heuristic for general MINLPs and then show how to tailor the heuristic to exploit our problem-specific structure. On a test set of real-world instances, we are able to increase the chance of identifying feasible solutions by some order of magnitude compared to standard MINLP heuristics that are already built in the general-purpose MINLP solver SCIP. T3 - ZIB-Report - 13-49 KW - Mixed-Integer Nonlinear Programming KW - Relaxations KW - Heuristics KW - Duality KW - Nonlinear Network Design Applications Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-43110 SN - 1438-0064 ER - TY - JOUR A1 - Humpola, Jesco A1 - Fügenschuh, Armin T1 - Convex reformulations for solving a nonlinear network design problem JF - Computational Optimization and Applications N2 - We consider a nonlinear nonconvex network design problem that arises, for example, in natural gas or water transmission networks. Given is such a network with active and passive components, that is, valves, compressors, control valves (active) and pipelines (passive), and a desired amount of flow at certain specified entry and exit nodes in the network. The active elements are associated with costs when used. Besides flow conservation constraints in the nodes, the flow must fulfill nonlinear nonconvex pressure loss constraints on the arcs subject to potential values (i.e., pressure levels) in both end nodes of each arc. The problem is to compute a cost minimal setting of the active components and numerical values for the flow and node potentials. We examine different (convex) relaxations for a subproblem of the design problem and benefit from them within a branch-and-bound approach. We compare different approaches based on nonlinear optimization numerically on a set of test instances. Y1 - 2015 U6 - https://doi.org/10.1007/s10589-015-9756-2 VL - 62 IS - 3 SP - 717 EP - 759 PB - Springer US ER - TY - JOUR A1 - Humpola, Jesco A1 - Fügenschuh, Armin A1 - Koch, Thorsten T1 - Valid inequalities for the topology optimization problem in gas network design JF - OR Spectrum N2 - One quarter of Europe's energy demand is provided by natural gas distributed through a vast pipeline network covering the whole of Europe. At a cost of 1 million Euro per km extending the European pipeline network is already a multi-billion Euro business. Therefore, automatic planning tools that support the decision process are desired. Unfortunately, current mathematical methods are not capable of solving the arising network design problems due to their size and complexity. In this article, we will show how to apply optimization methods that can converge to a proven global optimal solution. By introducing a new class of valid inequalities that improve the relaxation of our mixed-integer nonlinear programming model, we are able to speed up the necessary computations substantially. Y1 - 2016 U6 - https://doi.org/https://doi.org/10.1007/s00291-015-0390-2 VL - 38 IS - 3 SP - 597 EP - 631 PB - Springer CY - Berlin Heidelberg ER - TY - GEN A1 - Fügenschuh, Armin A1 - Junosza-Szaniawski, Konstanty A1 - Klug, Torsten A1 - Kwasiborski, Slawomir A1 - Schlechte, Thomas T1 - Fastest, average and quantile schedule N2 - We consider problems concerning the scheduling of a set of trains on a single track. For every pair of trains there is a minimum headway, which every train must wait before it enters the track after another train. The speed of each train is also given. Hence for every schedule - a sequence of trains - we may compute the time that is at least needed for all trains to travel along the track in the given order. We give the solution to three problems: the fastest schedule, the average schedule, and the problem of quantile schedules. The last problem is a question about the smallest upper bound on the time of a given fraction of all possible schedules. We show how these problems are related to the travelling salesman problem. We prove NP-completeness of the fastest schedule problem, NP-hardness of quantile of schedules problem, and polynomiality of the average schedule problem. We also describe some algorithms for all three problems. In the solution of the quantile problem we give an algorithm, based on a reverse search method, generating with polynomial delay all Eulerian multigraphs with the given degree sequence and a bound on the number of such multigraphs. A better bound is left as an open question. T3 - ZIB-Report - 14-49 KW - eulerian multigraphs KW - scheduling Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-53592 SN - 1438-0064 ER - TY - GEN A1 - Pfetsch, Marc A1 - Fügenschuh, Armin A1 - Geißler, Björn A1 - Geißler, Nina A1 - Gollmer, Ralf A1 - Hiller, Benjamin A1 - Humpola, Jesco A1 - Koch, Thorsten A1 - Lehmann, Thomas A1 - Martin, Alexander A1 - Morsi, Antonio A1 - Rövekamp, Jessica A1 - Schewe, Lars A1 - Schmidt, Martin A1 - Schultz, Rüdiger A1 - Schwarz, Robert A1 - Schweiger, Jonas A1 - Stangl, Claudia A1 - Steinbach, Marc A1 - Vigerske, Stefan A1 - Willert, Bernhard T1 - Validation of Nominations in Gas Network Optimization: Models, Methods, and Solutions N2 - 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 mixed-integer non-convex nonlinear feasibility problem. The first phase consists of four distinct algorithms facilitating mixed-integer linear, mixed-integer nonlinear, reduced nonlinear, and complementarity constrained methods to compute possible settings for the discrete decisions. The second phase employs a precise continuous nonlinear programming model of the gas network. Using this setup, we are able to compute high quality solutions to real-world industrial instances whose size is significantly larger than networks that have appeared in the literature previously. T3 - ZIB-Report - 12-41 Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-16531 SN - 1438-0064 ER - TY - CHAP A1 - Klug, Torsten A1 - Junosza-Szaniawski, Konstanty A1 - Kwasiborski, Slawomir A1 - Fügenschuh, Armin A1 - Schlechte, Thomas T1 - Fastest, Average and Quantile Schedule T2 - SOFSEM 2015: Theory and Practice of Computer Science N2 - We consider problems concerning the scheduling of a set of trains on a single track. For every pair of trains there is a minimum headway, which every train must wait before it enters the track after another train. The speed of each train is also given. Hence for every schedule - a sequence of trains - we may compute the time that is at least needed for all trains to travel along the track in the given order. We give the solution to three problems: the fastest schedule, the average schedule, and the problem of quantile schedules. The last problem is a question about the smallest upper bound on the time of a given fraction of all possible schedules. We show how these problems are related to the travelling salesman problem. We prove NP-completeness of the fastest schedule problem, NP-hardness of quantile of schedules problem, and polynomiality of the average schedule problem. We also describe some algorithms for all three problems. In the solution of the quantile problem we give an algorithm, based on a reverse search method, generating with polynomial delay all Eulerian multigraphs with the given degree sequence and a bound on the number of such multigraphs. A better bound is left as an open question. KW - scheduling KW - eulerian multigraphs Y1 - 2015 U6 - https://doi.org/10.1007/978-3-662-46078-8_17 SP - 201 EP - 216 PB - Springer Berlin Heidelberg ER - TY - GEN A1 - Fügenschuh, Armin A1 - Hayn, Christine A1 - Michaels, Dennis T1 - Mixed-Integer Linear Methods for Layout-Optimization of Screening Systems in Recovered Paper Production N2 - The industrial treatment of waste paper in order to regain valuable fibers from which recovered paper can be produced, involves several steps of preparation. One important step is the separation of stickies that are normally attached to the paper. If not properly separated, remaining stickies reduce the quality of the recovered paper or even disrupt the production process. For the mechanical separation process of fibers from stickies a separator screen is used. This machine has one input feed and two output streams, called the accept and the reject. In the accept the fibers are concentrated, whereas the reject has a higher concentration of stickies. The machine can be controlled by setting its reject rate. But even when the reject rate is set properly, after just a single screening step, the accept still has too many stickies, or the reject too many fibers. To get a proper separation, several separators have to be assembled into a network. From a mathematical point of view this problem can be seen as a multi-commodity network flow design problem with a nonlinear, controllable distribution function at each node. We present a nonlinear mixed-integer programming model for the simultaneous selection of a subset of separators, the network's topology, and the optimal setting of each separator. Numerical results are obtained via different types of linearization of the nonlinearities and the use of mixed-integer linear solvers, and compared with state-of-the-art global optimization software. T3 - ZIB-Report - 12-44 KW - Mixed-Integer Linear Programming KW - Nonlinear Programming KW - Piecewise Linear Approximation KW - Topology Optimization KW - Network Design Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-16862 SN - 1438-0064 ER - TY - GEN A1 - Scheumann, Rene A1 - Fügenschuh, Armin A1 - Schenker, Sebastian A1 - Vierhaus, Ingmar A1 - Borndörfer, Ralf A1 - Finkbeiner, Matthias T1 - Global Manufacturing: How to Use Mathematical Optimisation Methods to Transform to Sustainable Value Creation N2 - It is clear that a transformation to sustainable value creation is needed, because business as usual is not an option for preserving competitive advantages of leading industries. What does that mean? This contribution proposes possible approaches for a shift in existing manufacturing paradigms. In a first step, sustainability aspects from the German Sustainability Strategy and from the tools of life cycle sustainability assessment are chosen to match areas of a value creation process. Within these aspects are indicators, which can be measured within a manufacturing process. Once these data are obtained they can be used to set up a mathematical linear pulse model of manufacturing in order to analyse the evolution of the system over time, that is the transition process, by using a system dynamics approach. An increase of technology development by a factor of 2 leads to an increase of manufacturing but also to an increase of climate change. Compensation measures need to be taken. This can be done by e.g. taking money from the GDP (as an indicator of the aspect ``macroeconomic performance''). The value of the arc from that building block towards climate change must then be increased by a factor of 10. The choice of independent and representative indicators or aspects shall be validated and double-checked for their significance with the help of multi-criteria mixed-integer programming optimisation methods. T3 - ZIB-Report - 12-28 KW - Multi-Criteria Optimisation KW - Sustainability Indicator KW - System Dynamics KW - Value Creation Process Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-15703 SN - 1438-0064 ER - TY - GEN A1 - Fügenschuh, Armin A1 - Grösser, Stefan N. A1 - Vierhaus, Ingmar T1 - A Global Approach to the Control of an Industry Structure System Dynamics Model N2 - We consider a system dynamics model that describes the effect of human activity on natural resources. The central stocks are the accumulated profit, the industry structures, and the water resources. The model can be controlled through two time-dependent parameters. The goal in this paper is to find a parameter setting that leads to a maximization of a performance index, which reflects both environmental and economic aspects. Thus, the goal is to identify the most sustainable stock of industry structures within the model's constraints and assumptions. In order to find a proven global optimal parameter set, we formulate the System Dynamics Optimization model as a mixed-integer nonlinear problem that is accessible for numerical solvers. Due to the dynamic structure of the model, certain steps of the solution process must be handled with greater care, compared to standard non-dynamic problems. We describe our approach of solving the industry structure model and present computational results. In addition, we discuss the limitations of the approach and next steps. T3 - ZIB-Report - 13-67 KW - System Dynamics; Mixed-Integer Nonlinear Optimization Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-42932 SN - 1438-0064 ER -