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Ihre Position

INHALTE

Univ.-Prof. Dr.-Ing. Steffen Straßburger

Leiter des Fachgebiets "Wirtschaftsinformatik für Industriebetriebe"

Sprechstunde

Ich bin in der Vorlesungszeit regelmäßig jeweils dienstags zwischen 9:30 und 10:30 Uhr ohne Terminvereinbarung im Büro anzutreffen. Termine außerhalb dieser Zeiten und in der Semesterpause bitte per Email oder über das Sekretariat zu vereinbaren.

Kontakt

E-Mail:

Raum:
Telefon: 
Telefax:

steffen.strassburger@tu-ilmenau.de
Oeconomicum, Raum Oec 212
+49 3677 69-4051
+49 3677 69-4205

Akademische Selbstverwaltung

  • Prodekan der Fakultät für Wirtschaftswissenschaften und Medien (2016-2017)
  • Leiter der Studiengangkommission Wirtschaftsinformatik (2011-2016)
  • Stellvertr. Direktor des fakultätsübergreifenden Instituts für Automobil- und Produktionstechnik (seit 2011)
  • Prüfungsausschuss Wirtschaftsinformatik - Mitglied (2008-2016) und  Leitung (2008-2012)
  • Qualitätsmanagementbeauftrager der Fakultät für Wirtschaftswissenschaften (2007-2011)
  • Mitglied des Senatsausschusses für Hochschulentwicklung und Qualitätssicherung (2008-2011)

Lebenslauf

Ausbildung

  • 1979-1987: Grundschule, Magdeburg
  • 1987-1991: Erweiterte Oberschule "Humboldt", Magdeburg
  • 1991-1992: Grundwehrdienst
  • 1992-1998: Studium der Informatik, Nebenfach Betriebswirtschaftslehre, Otto-von-Guericke-Universität, Magdeburg, Fakultät für Informatik
  • 1995-1996: Auslandsstudium, University of Wisconsin - Stevens Point, USA, Förderung durch Stipendium des DAAD
  • 1998-2001: Promotion zum Dr.-Ing., Otto-von-Guericke-Universität, Magdeburg, Fakultät für Informatik, Institut für Simulation und Grafik (Abschluss im April 2001)

Berufserfahrung

  • 1998-2001: Wissenschaftlicher Mitarbeiter, Otto-von-Guericke-Universität Magdeburg, Fakultät für Informatik, Institut für Simulation und Grafik
  • 11-12/1999: Forschungsaufenthalt am Georgia Institute of Technology, Atlanta, USA
  • 2001-2003: Wissenschaftlicher Mitarbeiter, DaimlerChrysler AG, Research and Technology, Abteilung Product, Process and Resource Integration, Ulm
  • 2003-2007: Abteilungsleiter, Fraunhofer Institut für Fabrikbetrieb und -automatisierung, Abteilung Virtuelle Entwicklung, Magdeburg
  • seit 04/2007: Universitätsprofessor an der TU Ilmenau, Fakultät für Wirtschaftswissenschaften, Leiter des Fachgebietes "Wirtschaftsinformatik für Industriebetriebe"

Mitgliedschaften

  • Arbeitsgemeinschaft Simulation (ASIM) der Gesellschaft für Informatik (GI)
  • Society for Computer Simulation International (SCS)
  • Simulation Interoperability Standards Organization (SISO)
  • Association for Computing Machinery (ACM)
  • ACM - Special Interest Group on Simulation and Modeling (ACM SIGSIM)

Publikationen (seit 2007 - nur Werke laut Hochschulbibliographie der TU Ilmenau)

Buch- und Zeitschriftenbeiträge

Anzahl der Treffer: 6
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Bergmann, Sören ; Feldkamp, Niclas; Straßburger, Steffen
Emulation of control strategies through machine learning in manufacturing simulations. - In: Journal of simulation : JOS. - Abington : Taylor & Francis Group, ISSN 17477786, Bd. 11 (2017), 1, S. 38-50

Discrete-event simulation is a well-accepted method for planning, evaluating, and monitoring processes in production and logistics. To reduce time and effort spent on creating simulation models, automatic simulation model generation is an important area in modeling methodology research. When automatically generating a simulation model from existing data sources, the correct reproduction of dynamic behavior of the modeled system is a common challenge. One example is the representation of dispatching and scheduling strategies of production jobs. When generating a model automatically, the underlying rules for these strategies are typically unknown but yet have to be adequately emulated. In this paper, we summarize our work investigating the suitability of various data mining and supervised machine learning methods for emulating job scheduling decisions based on data obtained from production data acquisition. We report on the performance of the algorithms and give recommendations for their application, including suggestions for their integration in simulation systems.


http://dx.doi.org/10.1057/s41273-016-0006-0
Bergmann, Sören ; Stelzer, Sören; Straßburger, Steffen
On the use of artificial neural networks in simulation-based manufacturing control. - In: Journal of simulation : JOS. - Abington : Taylor & Francis Group, ISSN 17477786, Bd. 8 (2014), 1, S. 76-90

The automatic generation of simulation models has been a recurring research topic for several years. In manufacturing industries, it is currently also becoming a topic of high practical relevance. A well-known challenge in most model generation approaches is the correct reproduction of the dynamic behaviour of model elements, for example, buffering or control strategies. This problem is especially relevant in simulation-based manufacturing control. In such scenarios, simulation models need to reflect the current state and behaviour of the real system in a highly accurate way, otherwise its suggested control decisions may be inaccurate or even dangerous towards production goals. This paper introduces a novel methodology for approximating dynamic behaviour using artificial neural networks, rather than trying to determine exact representations. We suggest using neural networks in conjunction with traditional material flow simulation systems whenever a certain decision cannot be made ex ante in the model generation process due to insufficient knowledge about the behaviour of the real system. In such cases the decision is delegated to the neural network, which is connected to the simulation system at runtime. Training of the neural network is performed by observation of the real systems decision and based on the evaluation of data that can be gained through production data acquisition. Our approach has certain advantages compared to other approaches and is especially well suited in the context of on-line simulation and simulation-based operational decision support. We demonstrate the applicability of our methodology using a case study and report on performance results.


http://dx.doi.org/10.1057/jos.2013.6
Meyer, Torben ; Straßburger, Steffen
Integrierte virtuelle Inbetriebnahme : erhöhte Skalierbarkeit durch Integration von Materialfluss- und Anlagensimulation. - In: Werkstattstechnik : wt ; Produktion und Management ; Organ der VDI-Gesellschaft ADB. - Düsseldorf : Springer-VDI-Verl., ISSN 00432806, Bd. 103 (2013), 3, S. 177-183

In den vergangenen Jahren hat sich die virtuelle Inbetriebnahme als Methode der "Digitalen Fabrik" zur Verkürzung der realen Inbetriebnahmezeit und zum Softwaretest einzelner Maschinen oder Anlagen etabliert. Eine weitere Methode der Digitalen Fabrik ist die Materialflusssimulation; sie untersucht ganze Fabriken beispielsweise hinsichtlich produktionslogistischer Fragestellungen. An einem Prototyp wurden die Potentiale und Herausforderungen dargestellt, die infolge der Verbindung von Materialflusssimulation und virtueller Inbetriebnahme entstehen.


Taylor, Simon J. E.; Turner, Stephen J.; Straßburger, Steffen; Mustafee, Navonil
Bridging the gap: a standards-based approach to OR/MS distributed simulation. - In: ACM transactions on modeling and computer simulation : TOMACS. - New York, NY : ACM Press, ISSN 15581195, Bd. 22Bd. 22.2012, 4, Article No. 18, insges. 23 S.

In Operations Research and Management Science (OR/MS), Discrete Event Simulation (DES) models are typically created using commercial off-the-shelf simulation packages (CSPs) such as AnyLogic, Arena, Flexsim, Simul8, SLX, Witness, and so on. A DES model represents the processes associated with a system of interest. Some models may be composed of submodels running in their own CSPs on different computers linked together over a communications network via distributed simulation software. The creation of a distributed simulation with CSPs is still complex and typically requires a partnership of problem owners, modelers, CSP vendors, and distributed simulation specialists. In an attempt to simplify this development and foster discussion between modelers and technologists, the SISO-STD-006-2010 Standard for COTS Simulation Package Interoperability Reference Models has been developed. The standard makes it possible to capture interoperability capabilities and requirements at a DES modeling level rather than a computing technical level. For example, it allows requirements for entity transfer between models to be clearly specified in DES terms (e.g. the relationship between departure and arrival simulation times and input element (queue, workstation, etc.), buffering rules, and entity priority, instead of using specialist technical terminology. This article explores the motivations for distributed simulation in this area, related work, and the rationale for the standard. The four Types of Interoperability Reference Model described in the standard are discussed and presented (A. Entity Transfer, B. Shared Resource, C. Shared Event, and D. Shared Data Structure). Case studies in healthcare and manufacturing are given to demonstrate how the standard is used in practice.


http://dx.doi.org/10.1145/2379810.2379811
Wack, Karl-Josef; Riegmann, Tobias; Straßburger, Steffen; Guenther, Ulrich
Mehr Sicherheit in der Fertigung : virtuelle Produktionsabsicherung in der Montage. - In: Digital-Engineering-Magazin : Zeitschrift für integrative Produktentwicklung. - Vaterstetten : WIN-Verl, ISSN 1618002X, (2011), 5, S. 46-47

Automobilhersteller müssen in der Lage sein, kürzere Innovations- und Produktlebenszyklen zu realisieren, um wettbewerbsfähig zu bleiben. Zusätzlich führen unterschiedliche Kundenanforderungen zu einer großen Zahl an Produktvarianten - und so zu einer steigenden Anzahl an Serienanläufen. Effiziente Produktionsanläufe gewinnen daher mehr und mehr an Bedeutung. Die Methoden und Werkzeuge der digitalen Fabrik erlauben bereits frühzeitig eine virtuelle Absicherung der Montage.


Straßburger, Steffen ; Schulze, Thomas; Fujimoto, Richard
Future trends in distributed simulation and distributed virtual environments. - In: Advancing the frontiers of simulation : a Festschrift in honor of George Samual Fishman. - New York, NY [u.a.] : Springer, ISBN 978-1-4419-0816-2, (2009), S. 231-261

This paper reports the main results of a peer study on future trends in distributed simulation and distributed virtual environments. The peer study was based on the opinions of more than 60 experts which were collected by means of a survey and personal interviews. The survey collected opinions concerning the current state-of-the-art, relevance, and research challenges that must be addressed to advance and strengthen these technologies to a level where they are ready to be applied in day-to-day business in industry. The most important result of this study is the observation that as research areas, both distributed simulation and distributed virtual environments are attributed a high future practical relevance and a high economic potential. At the same time the study shows that the current adoption of these technologies in the industrial sector is rather low. The study analyzes reasons for this observation and identifies open research challenges.


Kongressband, Monographie

Anzahl der Treffer: 3
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Nissen, Volker; Stelzer, Dirk; Straßburger, Steffen; Fischer, Daniel
Multikonferenz Wirtschaftsinformatik (MKWI) 2016 : Technische Universität Ilmenau, 09. - 11. März 2016. - Ilmenau : Universitätsverlag Ilmenauhttp://www.db-thueringen.de/servlets/DocumentServlet?id=27211
Hauser, Helwig; Strassburger, Steffen; Theisel, Holger
Simulation and visualization 2008 : proceedings of the 2008 Simulation and Visualization Conference, 28 - 29 February 2008. - Erlangen [u.a.] : SCS Publ. House. - XII, 351 S.
ISBN 3936150532
Literaturangaben
Straßburger, Steffen
Distributed simulation based on the high level architecture in civilian application domains. - Delft : SCS-Europe BVBA. - xviii, 224 Seiten. - (Advances in simulation. - 11)
Universität Magdeburg, Fakultät für Informatik, Dissertation, 2001

ISBN 1565552180
http://www.gbv.de/dms/ilmenau/toc/330329162.PDF

Konferenzbeiträge

Anzahl der Treffer: 52
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Feldkamp, Niclas ; Bergmann, Sören; Straßburger, Steffen; Schulze, Thomas; Akondi, Praneeth; Lemessi, Marco
Knowledge discovery in simulation data - a case study for a backhoe assembly line. - In: WSC'17 : 2017 Winter Simulation Conference : WSC turns 50: simulation everywhere! : December 3-6, 2017, Red Rock Casino Resort & Spa, Las Vegas, NV. - [Piscataway, NJ] : IEEE / Winter Simulation Conference (Las Vegas, Nev.) : 2017.12.03-06., ISBN 978-1-5386-3428-8, (2018), S. 4456-4458

Konferenz: 2017 Winter Simulation Conference, WSC'17, Las Vegas, NV, December 3-6, 2017

Discrete event simulation is an established and popular technology for investigating the dynamic behavior of complex manufacturing and logistics systems. Besides conventional simulation studies that focus on single model aspects answering project specific analysis questions, new methods of broad scale experiment design and system analysis emerge alongside new developments of computational power and data processing. This enables to investigate the bandwidth of possible system behavior in a more in-depth way. In this work we applied our previously developed methodology of knowledge discovery in simulation data onto an industrial case study for a backhoe loader manufacturing facility.


https://doi.org/10.1109/WSC.2017.8248162
Feldkamp, Niclas ; Bergmann, Sören; Straßburger, Steffen; Schulze, Thomas
Knowledge discovery and robustness analysis in manufacturing simulations. - In: WSC'17 : 2017 Winter Simulation Conference : WSC turns 50: simulation everywhere! : December 3-6, 2017, Red Rock Casino Resort & Spa, Las Vegas, NV. - [Piscataway, NJ] : IEEE / Winter Simulation Conference (Las Vegas, Nev.) : 2017.12.03-06., ISBN 978-1-5386-3428-8, (2018), S. 3952-3963

Konferenz: 2017 Winter Simulation Conference, WSC'17, Las Vegas, NV, December 3-6, 2017

Discrete event simulation is an established methodology for investigating the dynamic behavior of complex manufacturing and logistics systems. Traditionally, simulation experts conduct experiments for predetermined system specifications focusing on single model aspects and specific analysis questions. In addition to that, the concept of data farming and knowledge discovery is an ongoing research issue that consists of broad scale experimentation and data mining assisted analysis of massive simulation output data. As an extension to this approach, we propose a concept for investigating the robustness of complex manufacturing and logistic systems which are often very sensitive to variation and noise. Based on Taguchis loss function, we developed a concept including data farming and visual analytics methodologies to investigate sources of variation in a model and the factor values that make a configuration robust. The concept is demonstrated on an exemplary case study model.


https://doi.org/10.1109/WSC.2017.8248105
Feldkamp, Niclas ; Bergmann, Sören; Straßburger, Steffen; Schulze, Thomas
Data Farming im Kontext von Produktion und Logistik. - In: Simulation in Produktion und Logistik 2017 / Fachtagung Simulation in Produktion und Logistik ; 17 (Kassel) : 2017.09.20-22. : Kassel, 20.-22. September 2017. - Kassel : Kassel University Press, ISBN 978-3-7376-0192-4, (2017), S. 169-178

Simulation is an established methodology for planning and evaluating manufacturing and logistics systems. Usually simulations experts conduct experiments for a prior defined goal and by minimizing the number of simulation runs. In contrast to that, data farming describes an approach for using the simulation model as a data generator for broad scale experimentation with a broader coverage of system behaviour. This paper demonstrates how to apply data farming methodologies on simulation models in the context of production and logistics and how to analyse massive amounts of simulation data using data mining and visual analytics.


Feldkamp, Niclas ; Bergmann, Sören; Straßburger, Steffen
Online analysis of simulation data with stream-based data mining. - In: SIGSIM-PADS'17 / ACM SIGSIM Conference on Principles of Advanced and Distributed Simulation ; 5 (Singapore) : 2017.05.24-26. - New York : Association for Computing Machinery, ISBN 978-1-4503-4489-0, (2017), S. 241-248

Feldkamp, Niclas ; Bergmann, Sören; Straßburger, Steffen; Schulze, Thomas
Knowledge discovery in simulation data: a case study of a gold mining facility. - In: Simulating complex service systems : WSC'16 - Winter Simulation Conference : Crystal Gateway Marriott, Arlington, VA, December 11-14, 2016. - [Piscataway, NJ] : IEEE / Winter Simulation ConferencecArlington, Va. (Arlington, Va.) : 2016.12.11-14., ISBN 978-1-5090-4486-3, (2016), S. 1607-1618

Discrete event simulation is an established methodology for investigating the dynamic behavior of complex systems. Apart from conventional simulation studies, which focus on single model aspects and answering specific analysis questions, new methods of broad scale experiment design and analysis emerge in alignment with new possibilities of computation and data processing. This paper outlines a visually aided process for knowledge discovery in simulation data which is applied onto a real world case study of a mining facility in Western Australia.


https://doi.org/10.1109/WSC.2016.7822210
Roemer, Anna Carina ; Straßburger, Steffen
A review of literature on simulation-based optimization of the energy efficiency in production. - In: Simulating complex service systems : WSC'16 - Winter Simulation Conference : Crystal Gateway Marriott, Arlington, VA, December 11-14, 2016. - [Piscataway, NJ] : IEEE / Winter Simulation ConferencecArlington, Va. (Arlington, Va.) : 2016.12.11-14., ISBN 978-1-5090-4486-3, (2016), S. 1416-1427

Due to rising resource prices, the sustained use of energy has become a basic requirement for manufacturing companies to competitively perform on the market. Designing production processes therefore not only requires the consideration of logistical and technical production conditions but also the consistent optimization of resource consumption. As simulation technology has become a common tool for assessing dynamic production processes, the consideration of energy-related issues in this context is becoming a more frequent subject. The aim of this literature research is to summarize the current state-of-the-art in the field of energy management in production and its adjacent disciplines as well as to identify future research priorities for the simulation-based optimization of energy aspects. The accomplishment of this objective requires a methodological review focusing on the multidisciplinary combination of simulation technologies, including hybrid simulation, the integration of mathematical optimization approaches, and the domain-specific knowledge of energy-related subjects in production systems.


https://doi.org/10.1109/WSC.2016.7822194
Feldkamp, Niclas ; Bergmann, Sören; Straßburger, Steffen
Innovative Analyse- und Visualisierungsmethoden für Simulationsdaten. - In: Multikonferenz Wirtschaftsinformatik (MKWI) 2016 ; Band 3. - Ilmenau : Universitätsverlag Ilmenau / Multikonferenz Wirtschaftsinformatik (Ilmenau) : 2016.03.09-11., (2016), S. 1737-1748
http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:gbv:ilm1-2016100035
Bergmann, Sören ; Feldkamp, Niclas; Straßburger, Steffen
Gestaltungsmöglichkeiten selbst-adaptierender Simulationsmodelle. - In: Multikonferenz Wirtschaftsinformatik (MKWI) 2016 ; Band 3. - Ilmenau : Universitätsverlag Ilmenau / Multikonferenz Wirtschaftsinformatik (Ilmenau) : 2016.03.09-11., (2016), S. 1713-1724
http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:gbv:ilm1-2016100035
Bergmann, Sören ; Feldkamp, Niclas; Straßburger, Steffen
Approximation of dispatching rules for manufacturing simulation using data mining methods. - In: Proceedings of the 2015 Winter Simulation Conference. - [Piscataway, NJ] : IEEE / Winter Simulation Conference (Huntington Beach, Calif.) : 2015.12.06-09., ISBN 978-1-4673-9743-8, (2015), S. 2329-2340

Discrete-event simulation is a well-accepted method for planning, evaluating, and monitoring processes in production and logistics contexts. In order to reduce time and effort spent on creating the simulation model, automatic simulation model generation is an important area in modeling methodology research. When automatically generating a simulation model from existing data sources, the correct reproduction of the dynamic behavior of the modelled system is a common challenge. One example is the representation of dispatching and scheduling strategies of production jobs. When generating a model automatically, the underlying rules for these strategies are typically unknown but yet have to be adequately emulated. In previous work, we presented an approach to approximate the behavior through artificial neural networks. In this paper, we investigate the suitability of various other data mining and supervised machine learning methods for emulating job scheduling decisions with data obtained from production data acquisition.


http://dx.doi.org/10.1109/WSC.2015.7408344
Straßburger, Steffen
HLA-based optimistic synchronization with SLX. - In: Proceedings of the 2015 Winter Simulation Conference. - [Piscataway, NJ] : IEEE / Winter Simulation Conference (Huntington Beach, Calif.) : 2015.12.06-09., ISBN 978-1-4673-9743-8, (2015), S. 1717-1728

The High Level Architecture for Modeling and Simulation (HLA) comes with the promise of facilitating interoperability between a wide variety of simulation systems. HLA's time management offers a unique support for heterogeneous time advancement schemes and differentiates HLA from other general interoperability standards. While it has been shown that HLA is applicable for connecting commercial off-the-shelf simulation packages (CSPs), the usage of HLA time management in this application area is virtually always limited to conservative synchronization. In this paper, we investigate HLA's capabilities concerning optimistic synchronization. For the first time, we show its use in combination with a commercial-off-the-shelf simulation package (CSP), namely the simulation system SLX. We report on implementation details, performance results, and potential limitations in the current HLA 1516.1-2010 standard and its interpretation by runtime infrastructure (RTI) software vendors.


http://dx.doi.org/10.1109/WSC.2015.7408290