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Resource-Efficient Production Planning through Flexibility Measurements in Value Creation Systems

  • Sven Rogalski
  • Hendro Wicaksono
  • Konstantin Krahtov
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 414)

Abstract

For years, manufacturing companies have faced an increasingly complex and rapidly changing market environment which is the result of, if nothing else, higher customer individualization. This particularly concerns SME’s, whose competitiveness is increasingly dependent on the early identification of new customer and market requirements and their ability to dynamically respond to these in an adequate fashion. In order to meet the high standards demanded of the planning quality and planning safety with ever increasing complexity and the continuous reduction of the planning time available, SME-compatible IT technologies are needed for the simulation of complex manufacturing relations. The following article addresses this problem and in-troduces the method set ecoFLEX, which enables the simulation of targeted and dynamic alignment of existing plant structures, resources and value-added processes with new production requirements. Unlike digital factory planning tools, a complete picture of the specific plant situation is not required, as will be illustrated by selected case studies from the medium sized production sector.

Keywords

Flexibility Measurement Manufacturing Systems Resource Efficiency Production Planning and Control 

References

  1. 1.
    Ehrlenspiel, K.: Integrierte Produktentwicklung: Denkabläufe, Methodeneinsatz, Zusammenarbeit. Karl HanserVerlag, München (2003)Google Scholar
  2. 2.
    Rogalski, S., Wicaksono, H.: Handling Resource Efficiency in Production of Small and Medium sized Enterprises. In: 18th International Conference on Engineering, Technology and Innovation (ICE 2012), Munich, Germany, June 18-20 (2012)Google Scholar
  3. 3.
    Loeffler, C., Westkämper, E., Unger, K.: Änderungsdynamik und Varianz im Automobilbau Analyse der Produktvarianz und deren Auswirkung auf die Produktion. Wtwerkstattstechnik Online 3, 99–104 (2011)Google Scholar
  4. 4.
    Reinhart, G., von Bredow, M.: Bewertung von Kunden-Lieferanten-Beziehungen in der Automobilindustrie. ZWF Zeitschrift für Wirtschaftlichen Fabrikbetrieb 12, 832–836 (2008)Google Scholar
  5. 5.
    Rogalski, S.: Factory design and process optimisation with flexibility measurements in industrial production. International Journal of Production Research, 1–12 (2012)Google Scholar
  6. 6.
    Maass, W.: Elektronische Wissensmärkte: Handel von Information und Wissen über digitale Netze. GablerVerlag (2009)Google Scholar
  7. 7.
    Schwinn, K.: Informationsmanagementprozesse im Unternehmen. In: Daten-und Informations-qualität, pp. 260–276 (2011)Google Scholar
  8. 8.
    Bracht, U., Geckler, D., Wenzel, S.: Digitale Fabrik Methoden und Beispiele. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  9. 9.
    Kunst, S.: Wirtschaftlichkeit der Virtual Reality Technologie. VdmVerlag Dr. Müller, Saarbrücken (2007)Google Scholar
  10. 10.
    Kohler, U.: Methodik zur kontinuierlichen und kostenorientierten Planung produktionstechnischer Systeme. Herbert Utz Verlag, München (2007)Google Scholar
  11. 11.
    Westkämper, E.: Digital Manufacturing in the Global ERA. Digital Enterprise Technology, Part 1, 3–14 (2007)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2013

Authors and Affiliations

  • Sven Rogalski
    • 1
  • Hendro Wicaksono
    • 1
  • Konstantin Krahtov
    • 1
  1. 1.Institute for Information Management in EngineeringKarlsruhe Institute of TechnologyKarlsruheGermany

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