Prof. Dr. Simone Göttlich

Room C 311
Tel.: +49 621 181 2438
E-Mail: goettlichmail-uni-mannheim.de

Research Interests

Multiscale Modeling: from Particles to Continuum Dynamics
Numerical Simulation and Data-Driven Approaches
Control and Optimization

Credit: Emilie Orgler

Short CV

since 2024: Director of the Institute of Mathematics of the University of Mannheim
since 2021: Editorial Board Mitteilungen der Deutschen Mathematiker-Vereinigung
2019–2023: Elected member of the Senate of the University of Mannheim
since 2014: Elected member of the School Council (WIM), University of Mannheim
2012–2015: Equal opportunities commissioner of the University of Mannheim
since 2011: Full Professor (W3) at School of Business Informatics and Mathematics (WIM), University of Mannheim
2011: Habilitation in Mathematics, TU Kaiserslautern
2009–2011: Akademischer Rat auf Zeit (former C1 Assistant Professor) at Dept. of Mathematics, TU Kaiserslautern
2007: PhD in Mathematics with Prof. Axel Klar and Prof. Christian Ringhofer, TU Kaiserslautern
2004–2009: Research Assistant at Dept. of Mathematics, TU Kaiserslautern
2004: Research Assistant at Dept. of Mathematics, TU Darmstadt
2003: Diploma in Mathematics with Prof. Axel Klar, TU Darmstadt
1999-2003: Studies in Mathematics with focus on Economics, TU Darmstadt

Research stays abroad within the international programs of DAAD: Université Paul Sabatier (Toulouse, France), Arizona State University (Phoenix, USA), Heriot-Watt University (Edinburgh, UK), INRIA Sophia Antipolis – Méditerranée (Nice, France).

Supervising: 78 completed Bachelor theses, 46 completed Master theses, 17 completed PhD dissertations (see also Mathematics Genealogy Project)

Funded Research Projects: see Projects

Short publication list: 2 Books, 92 refereed journal articles, more than 40 conference items and book sections

Publications

Recent Work/Preprints

S. Göttlich, M. Schaller, K. Worthmann – Perturbations in PDE-constrained optimal control decay exponentially in space – arXiv preprint, March 2024.
S. Göttlich, M. Herty, A. Ulke – Speed limits in traffic emission models using multi-objective optimization – arXiv preprint, November 2023.
A. Festa, S. Göttlich, M. Ricciardi – Forward-Forward Mean Field Games in mathematical modeling with application to opinion formation and voting models – arXiv preprint, August 2023.
S. Göttlich, P. Mehlitz, T. Schillinger – Inverse demand tracking in transportation networks – arXiv preprint, July 2023.
S. Göttlich, T. Schillinger – Data-inspired modeling of accidents in traffic flow networks – arXiv preprint, May 2023.
L. Chen, S. Göttlich, N. Zamponi – Connection between a degenerate particle flow model and a free boundary problem – arXiv preprint, February 2023.
S. Göttlich, T. Schillinger – Stochastic optimal control for nonlinear damped network dynamics – arXiv preprint, February 2022.
E. Fokken, S. Göttlich – On the relation of powerflow and Telegrapher's equations: continuous and numerical Lyapunov stability – arXiv preprint, January 2021.

Accepted Journal Publications/Proceedings/Book Chapters (listed in MADOC)

F. Chiarello, J. Friedrich, S. Göttlich – A non-local traffic flow model for 1-to-1 junctions with buffer – accepted to Networks and Heterogeneous Media (NHM), April 2024.
S. Göttlich, S. Hoher, A. Verl, J. Weißen, A. Kienzlen – Materialflusssimulation für die Virtuelle Inbetriebnahme in Steuerungsechtzeit – In: A. Verl, S. Röck, C. Scheifele (Eds.): Echtzeitsimulation in der Produktionsautomatisierung, Springer Vieweg, Berlin, Heidelberg, 2024.
F. Chiarello, S. Göttlich, T. Schillinger, A. Tosin – Hydrodynamic traffic flow models including random accidents: A kinetic derivation – Communications in Mathematical Sciences (CMS), Vol. 22(3), pp. 845–870, 2024.
J. Friedrich, S. Göttlich, A. Keimer, L. Pflug – Conservation laws with nonlocal velocity: the singular limit problem – SIAM Journal on Applied Mathematics (SIAP), Vol. 84(2), pp. 497–522, 2024.
J. Friedrich, S. Göttlich, A. Keimer, L. Pflug – Conservation laws with nonlocality in density and velocity and their applicability in traffic flow modelling – accepted to HYP Proceedings, May 2023.
A. Würth, M. Binois, P. Goatin, S. Göttlich – Data driven uncetainty quantification in macroscopic traffic flow models – Advances in Computational Mathematics, 48, 75, https://doi.org/10.1007/s10444-022-09989-5, 2022.
J. Friedrich, S. Göttlich, A. Uphoff – Conservation laws with discontinuous flux function on networks: a splitting algorithm – Networks and Heterogeneous Media (NHM), Vol. 18(1), pp. 1–28, 2023.

Articles
Conference Publications
Books
Book Chapters

Fokken, E., Göttlich, S. and Herty, M. (2023). Efficient simulation of coupled gas and power networks under uncertain demands. European Journal of Applied Mathematics, 34, 505–531.
Friedrich, J., Göttlich, S. and Herty, M. (2023). Lyapunov stabilization for nonlocal traffic flow models. SIAM Journal on Control and Optimization, 61, 2849-2875.
Weißen, J., Göttlich, S. and Totzeck, C. (2023). Space mapping-based optimization with the macroscopic limit of interacting particle systems. Optimization and Engineering, 24, 395–424.
Friedrich, J., Göttlich, S. and Osztfalk, M. (2022). Network models for nonlocal traffic flow. Mathematical Modelling and Numerical Analysis = Modélisation Mathématique et Analyse Numérique, 56, 213–235.
Göttlich, S. and Schillinger, T. (2022). Control strategies for transport networks under demand uncertainty. Advances in Computational Mathematics : AICM, 48, 1–33.
Göttlich, S. and Totzeck, C. (2022). Parameter calibration with stochastic gradient descent for interacting particle systems driven by neural networks. Mathematics of Control, Signals, and Systems : MCSS, 34, 185–214.
Samara, A., Rempe, F. and Göttlich, S. (2022). A novel approach for vehicle travel time distribution: copula-based dependent discrete convolution. Transportation Letters, 14, 740–751.
Weissen, J., Kolb, O. and Göttlich, S. (2022). A combined first and second order model for a junction with ramp buffer. SMAI Journal of Computational Mathematics : SMAI-JCM, 8, 349–374.
Würth, A., Binois, M., Goatin, P. and Göttlich, S. (2022). Data-driven uncertainty quantification in macroscopic traffic flow models. Advances in Computational Mathematics : AICM, 48, 1–26.
Balzotti, C. and Göttlich, S. (2021). A two-dimensional multi-class traffic flow model. Networks and Heterogeneous Media : NHM, 16, 69–90.
Friedrich, J., Göttlich, S. and Rossi, E. (2021). Nonlocal approaches for multilane traffic models. Communications in Mathematical Sciences : CMS, 19, 2291-2317.
Göttlich, S., Hante, F. M., Potschka, A. and Schewe, L. (2021). Penalty alternating direction methods for mixed-integer optimal control with combinatorial constraints. Mathematical Programming : Series B, 188, 599–619.
Göttlich, S., Herty, M., Moutari, S. and Weißen, J. (2021). Second-order traffic flow models on networks. SIAM Journal on Applied Mathematics, 81, 258–281.
Göttlich, S., Herty, M. and Weldegiyorgis, G. (2021). Input-to-state stability of a scalar conservation law with nonlocal velocity. Axioms, 10, 1–20.
Göttlich, S., Iacomini, E. and Jung, T. (2021). Properties of the LWR model with time delay. Networks and Heterogeneous Media : NHM, 16, 31–47.
Göttlich, S., Kolb, O. and Lux, K. (2021). Chance‐constrained optimal inflow control in hyperbolic supply systems with uncertain demand. Optimal Control, Applications & Methods, 42, 566–589.
Göttlich, S. and Schillinger, T. (2021). Microscopic and macroscopic traffic flow models including random accidents. Communications in Mathematical Sciences : CMS, 19, 1579-1609.
Weißen, J., Göttlich, S. and Armbruster, D. (2021). Density dependent diffusion models for the interaction of particle ensembles with boundaries. Kinetic and Related Models, 14, 681–704.
Armbruster, D., Göttlich, S. and Knapp, S. (2020). Continuous approximation of Mt/Mt/1 distributions with application to production. Journal of Computational Dynamics : JCD, 7, 243–269.
Baumgärtner, V., Göttlich, S. and Knapp, S. (2020). Feedback stabilization for a coupled PDE-ODE production system. Mathematical Control and Related Fields : MCRF, 10, 405–424.
Chiarello, F. A., Friedrich, J., Goatin, P. and Göttlich, S. (2020). Micro-macro limit of a nonlocal generalized Aw-Rascle type model. SIAM Journal on Applied Mathematics, 80, 1841-1861.
Chiarello, F. A., Friedrich, J., Goatin, P., Göttlich, S. and Kolb, O. (2020). A non-local traffic flow model for 1-to-1 junctions. European Journal of Applied Mathematics, 31, 1029-1049.
Faulwasser, T., Göttlich, S. and Worthmann, K. (2020). Mathematical innovations fostering the energy transition – Control and optimization. Automatisierungstechnik : AT, 68, 982–984.
Göttlich, S. and Knapp, S. (2020). Modeling random traffic accidents by conservation laws. Mathematical Biosciences and Engineering : MBE, 17, 1677-1701.
Göttlich, S. and Knapp, S. (2020). Uncertainty quantification with risk measures in production planning. Journal of Mathematics in Industry, 10, 1–21.
Göttlich, S., Knapp, S. and Weber, D. (2020). The food seeking behavior of slime mold: a macroscopic approach. Mathematical Biosciences and Engineering : MBE, 17, 6631-6658.
Göttlich, S., Spieckermann, S., Stauber, S. and Storck, A. (2020). Data-driven graph drawing techniques with applications for conveyor systems. Journal of Mathematics in Industry, 10, 1–23.
Kienzlen, A., Weißen, J., Verl, A. and Göttlich, S. (2020). Simulative Optimierung der Steuerungsparameter eines Materialflusslayouts mit Bandförderern. Forschung im Ingenieurwesen = Engineering Research, 84, 357–368.
Rossi, E., Weißen, J., Goatin, P. and Göttlich, S. (2020). Well-posedness of a non-local model for material flow on conveyor belts. Mathematical Modelling and Numerical Analysis = Modélisation Mathématique et Analyse Numérique, 54, 679–704.
Tong, L., Chen, L., Göttlich, S. and Wang, S. (2020). The global classical solution to compressible Euler system with velocity alignment. AIMS Mathematics, 5, 6673-6692.
Yin, Q., Chen, L. and Göttlich, S. (2020). The mean field kinetic equation for interacting particle systems with non-Lipschitz force. Mathematical Methods in the Applied Sciences : MMAS, 43, 1901-1914.
Burger, M., Göttlich, S. and Jung, T. (2019). Derivation of second order traffic flow models with time delays. Networks and Heterogeneous Media : NHM, 14, 265–288.
Dambach, T., Göttlich, S. and Knapp, S. (2019). Car path tracking in traffic flow networks with bounded buffers at junctions. Mathematical Methods in the Applied Sciences : MMAS, 43, 3331-3353.
Festa, A., Göttlich, S. and Pfirsching, M. (2019). A model for a network of conveyor belts with discontinuous speed and capacity. Networks and Heterogeneous Media : NHM, 14, 389–410.
Fokken, E., Göttlich, S. and Kolb, O. (2019). Modeling and simulation of gas networks coupled to power grids. Journal of Engineering Mathematics, 119, 217–239.
Göttlich, S. and Knapp, S. (2019). Load-dependent machine failures in production network models. SIAM Journal on Applied Mathematics, 79, 1197-1217.
Göttlich, S., Korn, R. and Lux, K. (2019). Optimal control of electricity input given an uncertain demand. Mathematical Methods of Operations Research, 90, 301–328.
Göttlich, S., Lux, K. and Neuenkirch, A. (2019). The Euler scheme for stochastic differential equations with discontinuous drift coefficient: a numerical study of the convergence rate. Advances in Difference Equations : ADE, 2019, 1–21.
Göttlich, S., Potschka, A. and Teuber, C. (2019). A partial outer convexification approach to control transmission lines. Computational Optimization and Applications, 72, 431–456.
Prims, D., Kötz, J., Göttlich, S. and Katterfeld, A. (2019). Validation of flow models as new simulation approach for parcel handling in bulk mode. Logistics journal : LJ : Reviewed publications, 2019, 18.06.2019.
Chen, L., Göttlich, S. and Knapp, S. (2018). Modeling of a diffusion with aggregation: rigorous derivation and numerical simulation. Mathematical Modelling and Numerical Analysis = Modélisation Mathématique et Analyse Numérique, 52, 567–593.
Erbrich, M., Göttlich, S. and Pfirsching, M. (2018). Optimal packing of material flow on conveyor belts. Optimization and Engineering, 19, 71–96.
Friedrich, J., Kolb, O. and Göttlich, S. (2018). A Godunov type scheme for a class of LWR traffic flow models with non-local flux. Networks and Heterogeneous Media : NHM, 13, 531–547.
Göttlich, S., Knapp, S. and Schillen, P. (2018). A pedestrian flow model with stochastic velocities: Microscopic and macroscopic approaches. Kinetic and Related Models, 11, 1333-1358.
Göttlich, S. and Pfirsching, M. (2018). A micro-macro hybrid model with application for material and pedestrian flow. Cogent Mathematics & Statistics, 5, 1476049.
Göttlich, S. and Teuber, C. (2018). Space mapping techniques for the optimal inflow control of transmission lines. Optimization Methods and Software, 33, 120–139.
Kolb, O., Costeseque, G., Goatin, P. and Göttlich, S. (2018). Pareto-optimal coupling conditions for the Aw-Rascle-Zhang traffic flow model at junctions. SIAM Journal on Applied Mathematics, 78, 1981-2002.
Che, J., Chen, L., Göttlich, S., Pandey, A. and Wang, J. (2017). Boundary layer analysis from the Keller-Segel system to the aggregation system in one space dimension. Communications on Pure and Applied Analysis : CPAA, 16, 1013-1036.
Chen, L., Göttlich, S. and Yin, Q. (2017). Mean field limit and propagation of chaos for a pedestrian flow model. Journal of Statistical Physics, 166, 211–229.
Göttlich, S. and Knapp, S. (2017). Semi-Markovian capacities in production network models. Discrete and Continuous Dynamical Systems : DCDS. Series B, 22, 3235-3258.
Göttlich, S., Potschka, A. and Ziegler, U. (2017). Partial outer convexification for traffic light optimization in road networks. SIAM Journal on Scientific Computing, 39, B53-B75.
Göttlich, S. and Schillen, P. (2017). Numerical discretization of boundary control problems for systems of balance laws: Feedback stabilization. European Journal of Control, 35, 11–18.
Göttlich, S. and Schillen, P. (2017). Numerical feedback stabilization with applications to networks. Discrete Dynamics in Nature and Society, 2017, 1–11.
Kolb, O., Göttlich, S. and Goatin, P. (2017). Capacity drop and traffic control for a second order traffic model. Networks and Heterogeneous Media : NHM, 12, 663–681.
Che, J., Chen, L., Göttlich, S. and Wang, J. (2016). Existence of a classical solution to complex material flow problems. Mathematical Methods in the Applied Sciences : MMAS, 39, 4069-4081.
Goatin, P., Göttlich, S. and Kolb, O. (2016). Speed limit and ramp meter control for traffic flow networks. Engineering Optimization, 48, 1121-1144.
Göttlich, S. and Harter, C. (2016). A weakly coupled model of differential equations for thief tracking. Networks and Heterogeneous Media : NHM, 11, 447–469.
Göttlich, S., Herty, M. and Schillen, P. (2016). Electric transmission lines: control and numerical discretization. Optimal Control, Applications & Methods, 37, 980–995.
Göttlich, S. and Kühn, S. (2016). Routing strategies in production networks with random breakdowns. Communications in Mathematical Sciences : CMS, 14, 1799-1820.
Göttlich, S., Kühn, S., Ohst, J. P. and Ruzika, S. (2016). Evacuation modeling: a case study on linear and nonlinear nNetwork flow models. EURO Journal on Computational Optimization, 4, 219–239.
Göttlich, S., Kühn, S., Schwarz, J. A. and Stolletz, R. (2016). Approximations of time-dependent unreliable flow lines with finite buffers. Mathematical Methods of Operations Research, 83, 295–323.
Forestier-Coste, L., Göttlich, S. and Herty, M. (2015). Data-fitted second-order macroscopic production models. SIAM Journal on Applied Mathematics, 75, 999-1014.
Göttlich, S., Herty, M. and Ziegler, U. (2015). Modeling and optimizing traffic light settings on road networks. Computers & Operations Research, 55, 36–51.
Göttlich, S., Klar, A. and Tiwari, S. (2015). Complex material flow problems: a multi-scale model hierarchy and particle methods. Journal of Engineering Mathematics, 92, 15–29.
Göttlich, S. and Schindler, P. (2015). Discontinuous Galerkin method for material flow problems. Mathematical Problems in Engineering : MPE, 2015, 1–15.
Göttlich, S. and Schindler, P. (2015). Optimal inflow control of production systems with finite buffers. Discrete and Continuous Dynamical Systems : DCDS. Series B, 20, 107–127.
Kolb, O. and Göttlich, S. (2015). A continuous buffer allocation model using stochastic processes. European Journal of Operational Research : EJOR, 242, 865–874.
Borsche, R., Göttlich, S., Klar, A. and Schillen, P. (2014). The scalar Keller-Segel model on networks. Mathematical Models and Methods in Applied Sciences : M 3 AS, 24, 221–247.
Etikyala, R., Göttlich, S., Klar, A. and Tiwari, S. (2014). A macroscopic model for pedestrian flow: comparisons with experimental results of pedestrian flow in corridors and T-junctions. Neural, Parallel & Scientific Computations, 22, 315–330.
Etikyala, R., Göttlich, S., Klar, A. and Tiwari, S. (2014). Particle methods for pedestrian flow models: from microscopic to non-local continuum models. Mathematical Models and Methods in Applied Sciences : M 3 AS, 24, 2503-2523.
Göttlich, S., Hoher, S., Schindler, P., Schleper, V. and Verl, A. (2014). Modeling, simulation and validation of material flow on conveyor belts. Applied Mathematical Modelling, 38, 3295-3313.
Göttlich, S., Kolb, O. and Kühn, S. (2014). Optimization for a special class of traffic flow models: Combinatorial and continuous approaches. Networks and Heterogeneous Media : NHM, 9, 315–334.
Göttlich, S. and Ziegler, U. (2014). Traffic Light Control: A Case Study. Discrete and Continuous Dynamical Systems : DCDS. Series S, 7, 483–501.
Göttlich, S., Herty, M. and Ziegler, U. (2013). Numerical discretization of Hamilton-Jacobi equations on networks. Networks and Heterogeneous Media : NHM, 8, 685–705.
Göttlich, S., Klar, A. and Schindler, P. (2013). Discontinuous conservation laws for production networks with finite buffers. SIAM Journal on Applied Mathematics, 73, 1117-1138.
Göttlich, S., Herty, M., Ringhofer, C. and Ziegler, U. (2012). Production systems with limited repair capacity. Optimization, 61, 915–948.
Armbruster, D., Göttlich, S. and Herty, M. (2011). A scalar conservation law with discontinuous flux for supply chains with finite buffers. SIAM Journal on Applied Mathematics, 71, 1070-1087.
Dittel, A., Göttlich, S. and Ziegler, U. (2011). Optimal design of capacitated production networks. Optimization and Engineering, 12, 583–602.
Göttlich, S., Kühn, S., Ohst, J. P., Ruzika, S. and Thiemann, M. (2011). Evacuation dynamics influenced by spreading hazardous material. Networks and Heterogeneous Media : NHM, 6, 443–464.
Göttlich, S., Martin, S. and Sickenberger, T. (2011). Time-continuous production networks with random breakdowns. Networks and Heterogeneous Media : NHM, 6, 695–714.
Göttlich, S., Herty, M. and Ringhofer, C. (2010). Optimization of order policies in supply networks. European Journal of Operational Research : EJOR, 202, 456–465.
Dittel, A., Fügenschuh, A., Göttlich, S. and Herty, M. (2009). MIP presolve techniques for a PDE-based supply chain model. Optimization Methods and Software, 24, 427–445.
Fügenschuh, A., Göttlich, S., Herty, M., Kirchner, C. and Martin, A. (2009). Efficient reformulation and solution of a nonlinear PDE-controlled flow network model. Computing, 85, 245–265.

Totzeck, C. and Göttlich, S. (2022). Parameter calibration with consensus-based optimization for interaction dynamics driven by neural networks. In , Progress in Industrial Mathematics at ECMI 2021 : 21st ECMI Conference, Wuppertal, Germany, April 13–15, selected and revised papers (S. 17–22). Mathematics in Industry, Springer: Berlin [u.a.].
Göttlich, S., Müller, J. and Weissen, J. (2021). GPU‐accelerated simulation of a non‐local conservation law. In , 91st Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM) : March 15–19, 2021, Kassel, Germany (S. 1–2). Proceedings in Applied Mathematics and Mechanics : PAMM, Wiley-VCH: Weinheim [u.a.].
Fokken, E., Göttlich, S. and Kolb, O. (2020). Optimal control of compressor stations in a coupled gas-to-power network. In , Advances in energy system optimization : Proceedings of the 2nd International Symposium on Energy System Optimization (S. 67–80). Trends in Mathematics, Birkhäuser ; Springer International Publishing: Cham.
Göttlich, S., Hameister, K. and Herty, M. (2020). Convex quadratic mixed-integer problems with quadratic constraints. In , Operations research proceedings 2019 : selected papers of the Annual International Conference of the German Operations Research Society (GOR), Dresden, Germany, September 4–6, 2019 (S. 123–129). Operations Research Proceedings, Springer International Publishing: Cham.
Samara, A., Rempe, F. and Göttlich, S. (2020). Modelling arterial travel time distribution using copulas. In , The 23rd IEEE International Conference on Intelligent Transportation Systems September 20 – 23, 2020 Virtual Conference : program (S. 1–6). , IEEE: Piscataway, NJ.
Göttlich, S., Korn, R. and Lux, K. (2019). Optimal inflow control penalizing undersupply in transport systems with uncertain demands. In , Progress in industrial mathematics at ECMI 2018 : The 20th European Conference on Mathematics for Industry (S. 485–490). Mathematics in Industry, Springer: Cham.
Knapp, S. and Göttlich, S. (2019). A production model with history based random machine failures. In , Progress in Industrial Mathematics at ECMI 2018 : The 20th European Conference on Mathematics for Industry, 18–22 June 2018, Budapest, Hungary (S. 491–497). Mathematics in Industry, Springer: Cham.
Lux, K. and Göttlich, S. (2019). Optimal inflow control in transport systems with uncertain demands ‐ A comparison of undersupply penalties. In , 90th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM) (S. 1–2). Proceedings in Applied Mathematics and Mechanics : PAMM, Wiley-VCH: Weinheim [u.a.].
Samara, A., Rempe, F., Fastenrath, U. and Göttlich, S. (2019). Assessing the probability of arriving on time using historical travel time data in a road network. In , The 2019 IEEE Intelligent Transportation Systems Conference – ITSC : Auckland, New Zealand, 27–30 October 2019 (S. 1343-1348). , IEEE: Piscataway, NJ.
Burger, M., Göttlich, S. and Jung, T. (2018). Derivation of a first order traffic flow model of Lighthill-Whitham-Richards type. In , 15th IFAC Symposium on Control in Transportation Systems CTS 2018 : Savona, Italy, 6–8 June 2018 : proceedings (S. 49–54). IFAC-PapersOnLine, Elsevier: Frankfurt ; München [u.a.].
Festa, A. and Göttlich, S. (2018). A Mean Field Games approach for multi-lane traffic management. In , 17th IFAC Workshop on Control Applications of Optimization CAO 2018 Yekaterinburg, Russia, 15–19 October 2018 : proceedings (S. 793–798). IFAC-PapersOnLine, Elsevier: Frankfurt ; München [u.a.].
Göttlich, S., Herty, M. and Luckert, M. (2017). Modeling of material flow problems. In , Math for the digital factory (S. 21–36). Mathematics in Industry, Springer: Cham.
Burger, M., Gerdts, M., Göttlich, S. and Herty, M. (2016). Dynamic programming approach for discrete-valued time discrete optimal control problems with dwell time constraints. In , System Modeling and Optimization : 27th IFIP TC 7 Conference, CSMO 2015, Sophia Antipolis, France, June 29 – July 3, 2015, Revised Selected Papers (S. 159–168). IFIP Advances in Information and Communication Technology, Springer: Cham.
Göttlich, S., Kühn, S., Ohst, J. P. and Ruzika, S. (2014). Influence of spreading hazardous material in macroscopic evacuation dynamics: A proof of concept. In , Pedestrian and evacuation dynamics 2012 (S. 275–282). IFIP Advances in Information and Communication Technology, Springer: Cham ; Heidelberg.
Göttlich, S. and Klar, A. (2013). Modeling and optimization of scalar flows on networks. In , Modelling and optimisation of flows on networks : Cetraro, Italy 2009 (S. 395–461). Lecture Notes in Mathematics, Springer: Berlin ; Heidelberg [u.a.].
Göttlich, S., Martin, S. and Sickenberger, T. (2012). Production networks with stochastic machinery default. In , Progress in Industrial Mathematics at ECMI 2010 (S. 247–253). Mathematics in Industry, Springer: Berlin [u.a.].
Hoher, S., Schindler, P., Göttlich, S., Schleper, V. and Röck, S. (2012). System dynamic models and real-time simulation of complex material flow systems. In , Enabling manufacturing competitiveness and economic sustainability : proceedings of the 4th International Conference on Changeable, Agile, Reconfigurable and Virtual Production (CARV2011), Montreal, Canada, 2 – 5 October 2011 (S. 316–321). , Springer: Berlin ; Heidelberg.
Göttlich, S. (2010). Modelling with students – a practical approach. In , EIMI 2010 : conference Educational Interfaces between Mathematics and Industry; proceedings; Lisbon – April, 19–23, Portugal (S. 235–242). Lecture Notes in Mathematics, Centro Internacional de Matemática: Coimbra.
Göttlich, S., Herty, M. and Ringhofer, C. (2010). Time-dependent order and distribution policies in supply networks. In , Progress in industrial mathematics at ECMI 2008 : [15th European Conference on Mathematics for Industry ; London, 30 June to 4 July 2008 ; proceedings] (S. 521–526). Mathematics in Industry, Springer: Berlin, Heidelberg.
Ziegler, U. and Göttlich, S. (2010). Design network problem and heuristics. In , Progress in industrial mathematics at ECMI 2008 : [15th European Conference on Mathematics for Industry ; London, 30 June to 4 July 2008 ; proceedings] (S. 515–520). Mathematics in Industry, Springer: Berlin ; Heidelberg.
Göttlich, S. and Bracke, M. (2009). Eine Modellierungsaufgabe zum Thema: “Munterer Partnertausch beim Marienkäfer”. In , Beiträge zum Mathematikunterricht 2009 : Vorträge auf der 43. Tagung für Didaktik der Mathematik ; Jahrestagung der Gesellschaft für Didaktik der Mathematik vom 02.03. bis 06.03.2009 in Oldenburg (S. 93–96). , WTM, Verl. für Wiss. Texte u. Medien: Münster.

Göttlich, S., Herty, M. and Milde, A. (eds.) (2021). Mathematical modeling, simulation, optimization for power engineering and management. Cham: Springer International Publishing.
D'Apice, C., Göttlich, S., Herty, M. and Piccoli, B. (2010). Modeling, simulation, and optimization of supply chains : a continuous approach. Philadelphia, PA: SIAM, Soc. for Industrial and Applied Mathematics.

Göttlich, S. (2020). Nuclear accidents: how can mathematicians help to save lives? In Mathematical modelling in real life problems: case studies from ECMI-Modelling Weeks (S. 45–58). Cham: Springer.
Göttlich, S. and Knapp, S. (2020). Artificial neural networks for the estimation of pedestrian interaction forces. In Crowd dynamics (S. 11–32). Cham: Birkhäuser.
Ableitinger, C., Göttlich, S. and Sickenberger, T. (2018). Eine Modellierungsaufgabe zum Thema “Optimale Auslastung von Flugzeugen”. In 25 Jahre ISTRON-Gruppe – eine Best-of-Auswahl aus der ISTRON-Schriftenreihe (S. 331–342). Wiesbaden: Springer Spektrum.
Göttlich, S. (2018). Schnelles Boarding leichtgemacht: Eine Simulationsstudie mit zellulären Automaten. In Digitale Werkzeuge, Simulationen und mathematisches Modellieren : didaktische Hintergründe und Erfahrungen aus der Praxis (S. 165–181). Wiesbaden: Springer Spektrum.
Bracke, M., Göttlich, S. and Götz, T. (2013). Modellierungsproblem Dart spielen. In Mathematisches Modellieren für Schule und Hochschule (S. 147–162). Wiesbaden: Springer Spektrum.
Kaiser, G., Bracke, M., Göttlich, S. and Kaland, C. (2013). Authentic complex modelling problems in mathematics education. In Educational Interfaces between Mathematics and Industry (S. 287–297). Cham: Springer International Publ.
Göttlich, S., Herty, M. and Ringhofer, C. (2012). Optimal order and distribution strategies in production networks. In Decision policies for production systems (S. 265–287). London [u.a.]: Springer.
Göttlich, S. and Sickenberger, T. (2011). Modelling the storage capacity of 2D pixel mosaics. In Real-World Problems for Secondary School Mathematics Students (S. 99–112). Rotterdam: Sense Publ.
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