Advertisement

Toward a Comprehensive Approach to the Transformation of Logistic Models

  • Hans-Jörg Kreowski
  • Marco Franke
  • Karl Hribernik
  • Sabine Kuske
  • Klaus-Dieter Thoben
  • Caro von Totth
Conference paper
Part of the Lecture Notes in Logistics book series (LNLO)

Abstract

In this paper, we propose a framework for modeling of logistic systems with an emphasis on model transformation. Due to the complexity of logistic systems, their models are bound to consist of many heterogeneous components on various descriptive levels from the requirement definition to the platform-specific implementation. To cover these phenomena in a comprehensive way, our approach provides two main concepts: First, we introduce logistic models that may be the combination of a variety of component models, which in turn may be of different types, i.e., they may be specified by means of different modeling methods. Second, we offer model transformations that allow to translate logistic models of one type into logistic models of another type whenever needed (for example, to bridge the gap between visual platform-independent models and textual platform-specific models or to facilitate the interaction of component models of different types).

Keywords

Interoperability Model transformation Heterogeneous modeling 

References

  1. Barnhart C, Laporte G (2006) Handbooks in operations research and management science: transportation. Elsevier Science and Technology, AmsterdamzbMATHGoogle Scholar
  2. Broy M (2010) Cyber-physical systems: innovation durch softwareintensive eingebettete Systeme. Springer, BerlinCrossRefGoogle Scholar
  3. Hee K, Sidorova N, Werf J (2013) Business process modeling using petri nets. In: Jensen K, van der Aalst WMP, Balbo G, Koutny M, Wolf K (eds) Transactions on petri nets and other models of concurrency lecture, Notes in Computer Science 7480:116–161Google Scholar
  4. Hülsmann M, Windt K (2007) Understanding of autonomous cooperation and control in logistics—the impact of autonomy on management, information, communication and material flow. Springer, BerlinCrossRefGoogle Scholar
  5. Hülsmann M, Scholz-Reiter B, Windt K (2011) Autonomous cooperation and control in logistics. Springer, BerlinCrossRefGoogle Scholar
  6. Kreowski H-J, Kuske S (2013) Graph tuple transformation. Electronic Communications of the EASST 62, 23 pagesGoogle Scholar
  7. Kreowski H-J, Kuske S, von Totth C (2010) Stepping from graph transformation units to model transformation units. Electronic Communications of the EASST 30, 24 pagesGoogle Scholar
  8. Kreowski H-J, Kuske S, von Totth C (2012) Combining graph transformation and algebraic specification into model transformation. In: Mossakowski T, Kreowski H-J (eds) Proceedings of the international workshop on algebraic development techniques (WADT 2010) Lecture Notes in Computer Science, vol 7137. pp 193–208Google Scholar
  9. Laguna M, Marklund J (2004) Business process modeling, simulation, and design. Pearson/Prentice Hall, New JerseyGoogle Scholar
  10. NSF National Science Foundation (2008) Cyber-physical systems. Program announcements and information. NSF 08–11, http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf08611. Accessed 16 Oct 2013
  11. OMG Object Management Group (2013) Business process model and notation (BPMN), http://www.omg.org/spec/BPMV/2.02/pdf. Accessed 10 Mar 2013
  12. Recker JC (2006) Process modeling in the 21st century. BP Trend, pp 1–6Google Scholar
  13. Scholz-Reiter B, Rippel D, Sowade S (2011a) Limitations in modeling autonomous logistic processes—challenges and solutions in business process modeling. In: Proceedings of the IEEE international symposium on assembly and manufacturing 2011 (ISAM’11). Tampere, USB-Proceedings, 6 pagesGoogle Scholar
  14. Scholz-Reiter B, Sowade S, Rippel D (2011b) Modeling the control system infrastructure for autonomous logistics processes. In: Duffy NA (ed) 44th CIRP conference on manufacturing systems. Omnipress, Madison-Wisconsin, pp 1–6Google Scholar
  15. Van der Aalst W, Stahl C (2011) Modeling business processes: a petri net-oriented approach. Cooperative information systems. MIT Press, CambridgezbMATHGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Hans-Jörg Kreowski
    • 1
  • Marco Franke
    • 2
  • Karl Hribernik
    • 2
  • Sabine Kuske
    • 1
  • Klaus-Dieter Thoben
    • 2
  • Caro von Totth
    • 1
  1. 1.Universität BremenBremenGermany
  2. 2.BIBA—Bremer Institut für Produktion und LogistikBremenGermany

Personalised recommendations