A new Approach to Simulation in Production Management

Conference paper


In a world of steady change, manufacturing companies face major challenges. They have to react quickly to an increasing competition and more and more individual customer requests. New technologies and organizational structures like RFID or decentralized and real-time based production control can handle these challenges. The analysis of a production process and the and selection of appropriate solutions often approves to be difficult and cost intensive. Previous simulation approaches are frequently combined with high efforts in order to state credible propositions regarding suitability and economic efficiency. This paper presents a new opportunity towards managing these disadvantages. The advantages of computer-based simulations are combined with a model factory. A fast and flexible illustration of the analyzed production processes is achieved.


Hybrid Simulation Production Process Evaluation of Economic Efficiency 


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  1. [1]
    Gronau, N.; Weber, E. (2009): Work Report WI - 2009-07: Versatility: Generic Structures to Manage Changes in Environment. URL: (downloaded 07.02.2011).
  2. [2]
    Boese, F.; Windt, K. (2007): Business Process Modelling of Autonomously Controlled Production Systems. In: Huelsmann, M.; Windt, K. (Ed.): Understanding Autonomous Cooperation and Control in Logistics; Spinger-Verlag, Berlin Heidelberg, 2007, p. 82.Google Scholar
  3. [3]
    Association of German Engineers (VDI) (2007) VDI-Guideline 3633-8: Simulation of systems in materials handling, logistics and production - Machine-oriented simulation; Beuth, Berlin.Google Scholar
  4. [4]
    Strassburger, S.; Schmidgall, G.; S. Haasis, S. (2003): Distributed Manufacturing Simulation As an Enabling Technologoy for the Digital Factory, in: Jorunal of Advanced Manufacturing (JAMS), World Scientific Publishing Volume 2, Issue 1(2003) pp. 111-126.Google Scholar
  5. [5]
    Gierth, A.; Schmidt, C. (2006): Time Dynamic Simulation in Production , in: Schuh , G. (Ed.): Production Planning and Control: Basics, Design and Concepts, Berlin, Germany: 2006, pp. 646.Google Scholar
  6. [6]
    Heng, S: (2006): RFID tags - Future Technolgy (RFIDFunkchips - Zukunftstechnologie in aller Munde), 3rd ed. Frankfurt, Germany: Deutsche Bank Research.Google Scholar
  7. [7]
    Teuteberg, F.; Ickerott, I. (2007): Mobile Supply Chain Event Management Using Auto-ID and Sensor Technologies- A Simulation Approach. In: Jung, H.; Chen, F.; Jeong, B. (Eds.), Trends in Supply Chain Design and Management, Springer- Verlag, London, p. 101.Google Scholar
  8. [8]
    Muhs, D. and others (2007), Roloff/Matek - Machine Elements, Wiesbaden, Germany, p. 9.Google Scholar
  9. [9]
    Association of German Engineers (VDI) (2008): VDI-Guideline 4499 - Digital Factory - Basics, (Verein Deutscher Ingenieure), Beuth, Berlin.Google Scholar
  10. [10]
    Westkaemper, E. (2007): Management of Production in a Turbulent Environment, in: PPS Management 12 (2007) 2. Berlin, pp. 70.Google Scholar
  11. [11]
    Scholz-Reiter, B.; Luetjen, M. (2009): Digital Factory - Basic Approaches of an Integrated Design of Products and Processes (Digital Factory - Ansätze integrierter Produkt- und Prozessgestalltung), in: Industrie Management 25 (2009) 1. Berlin, pp. 19.Google Scholar
  12. [12]
    Freund, G. (2004), Development of a Methodical Procedure for Implementation of Digital-Mock-Up-Technologies in Automotive Product Construction (Entwicklung eines methodischen Vorgehens zur Einführung von Digital Mock-Up-Techniken in den Produktentwicklungsprozess der Automobilindustrie), FeibergGoogle Scholar
  13. [13]
    Syska, A. (2006): Production Managment: Important Methods and Concepts for today's Production (Produktionsmanagement: Das A-Z wichtiger Methoden und Konzepte für die Produktion von heute), Gabler Wiesbaden.Google Scholar
  14. [14]
    Krallmann, H. and others (1999): System Analysis in Company (Systemanalyse im Unternehmen), 3rd ed., Munich, pp. 32.Google Scholar
  15. [15]
    Westkämper, E. and others (2005): Annual Report 2005, Institute for Industrial Manufacturing and Management (IFF) at Stuttgart University (Jahresbericht 2005, Institut für Industrielle Fertigung und Fabrikbetrieb), StuttgartGoogle Scholar
  16. [16]
    Reinhart, G.; Karl, F. (2010): Energy Value Stream - A Method for Holistic Improvement of Energy Productivity, in: Journal of Efficient Manufacturing Management (Methode zur ganzheitlichen Erhöhung der Energieproduktivität, in: Zeitschrift für wirtschaftlichen Fabrikbetrieb 105, 10), Hanser 2010, p. 870-875.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.University of Potsdam / Chair of Business Information Systems and Electronic GovernmentPotsdamGermany

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