Skip to main content
Log in

Modelling defence logistics networks

  • SPECIAL SECTION CPN 06
  • Published:
International Journal on Software Tools for Technology Transfer Aims and scope Submit manuscript

Abstract

Military logistics concerns the activities required to support operational forces. It encompasses the storage and distribution of materiel, management of personnel and the provision of facilities and services. A desire to improve the efficiency and effectiveness of the Australian Defence Force logistics process has led to the investigation of rigorous military logistics models suitable for analysis and experimentation. Logistics networks can be viewed as distributed discrete event systems, and hence can be formalised with discrete event techniques which support concurrency. This paper presents a Coloured Petri Net (CPN) model of a military logistics system and discusses some of our experience in developing an initial model. Interesting modelling problems encountered, and their solutions and impact on CPN support tools, are discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. van der Aalst, W.M.P.: Timed coloured petri nets and their application to logistics. PhD Thesis, Eindhoven University of Technology (1992)

  2. Australian Defence Doctrine Publication 4.0—Defence Logistics. Defence Publishing Service, Department of Defence, 8 April 2003

  3. Billington, J., Diaz, M., Rozenberg, G. (eds.): Application of Petri Nets to Communication Networks. Lecture Notes in Computer Science, vol. 1605. Springer, Heidelberg (1999)

  4. Bullinger, H.J., Steinaecker, J.V.: Petri net based modelling, planning and control of logistical processes under environmental goals and constraints. In: Proceedings of the 9th Symposium on Information Control in Manufacturing, vol. 1, pp. 433–438. Elsevier Science, Amsterdam June 1998

  5. CPN Tools. http://wiki.daimi.au.dk/cpntools/cpntools.wiki

  6. Degano, C., Di Febbraro, A.: On using Petri nets to detect and recover from faulty behaviours in transportation facilities. In: Proceedings of the 2002 IEEE International Conference on Systems, Man and Cybernetics, vol. 1, pp. 31–36. IEEE, October 2002

  7. Design/CPN Online. http://www.daimi.au.dk/designCPN/

  8. Eick, I., Vogelsang, D., Behrens, A.: Planning smelter logistics: a process modeling approach. In: Light Metals 2001, New Orleans, LA, pp. 393–398. Minerals, Metals and Materials Society, February 2001

  9. Gallasch, G.E., Lilith, N., Billington, J.: A coloured petri net model of a defence logistics physical network. Technical Report CSEC-25, Computer Systems Engineering Centre Report Series, University of South Australia, August 2006

  10. Han, B., Lilith, N., Billington, J.: Modelling, simulation and analysis of logistics systems using discrete event system techniques: a survey. Technical Report CSEC-24, Computer Systems Engineering Centre Report Series, University of South Australia, Draft, March 2006

  11. Hutchinson N.E. (1987). An Integrated Approach to Logistics Management. Prentice-Hall, Englewood Cliffs

    Google Scholar 

  12. Jensen, K.: Coloured Petri Nets: Basic Concepts, Analysis Methods and Practical Use. Vol. 1, Basic Concepts, 2nd edn. Monographs in Theoretical Computer Science. Springer, Heidelberg (1997)

  13. Kristensen L.M., Christensen S. and Jensen K. (1998). The Practitioner’s Guide to coloured petri nets. Int. J. Software Tools Technol. Transf. 2(2): 98–132

    Article  MATH  Google Scholar 

  14. Kristensen, L.M., Mitchell, B., Zhang, L., Billington, J.: Modelling and initial analysis of operational planning processes using coloured petri nets. In: Formal Methods in Software Engineering and Defence Systems 2002, Proceedings of the Satellite Workshops on Software Engineering and Formal Methods and Formal Methods Applied to Defence Systems. Conferences in Research and Practice in Information Technology Series, vol. 12, pp. 105–114. Australian Computer Society Inc. (2002)

  15. Mitchell, B., Kristensen, L.M., Zhang, L.: Formal specification and state space analysis of an operational planning process. In: Proceedings of the 5th Workshop and Tutorial on Practical Use of Coloured Petri Nets and the CPN Tools (CPN’04), Aarhus, Denmark, pp. 1–18 (2004)

  16. Ochmanska, E.: Object-oriented PN models with storage for transport and logistic processes. In: Proceedings of the 9th European Simulation and Symposium, Passau, Germany, pp. 483–487, San Diego, CA, USA, October 1997 (SCS)

  17. Piera M.A., Narciso M., Guasch A. and Riera D. (2004). Optimization of logistic and manufacturing systems through simulation: a coloured Petri net-based methodology. Simulation 80(3): 121–129

    Article  Google Scholar 

  18. The Technical Cooperation Program (TCCP). Guide for Understanding and Implementing Defence Experimentation (Guidex). Version 1.1, February 2006

  19. US Department of Defense. Logistics Transformation Strategy—Achieving Knowledge-Enabled Logistics. 10th December 2006

  20. van der Vorst J.G.A.J., Beulens A.J.M. and van Beek P. (2000). Modelling and simulating multi-echelon food systems. Eur. J. Oper. Res. 122(2): 354–366

    Article  MATH  Google Scholar 

  21. Viswanadham N. and Raghavan N.R.S. (2000). Performance analysis and design of supply chains: a petri net approach. J. Oper. Res. Soc. 51(10): 1158–1169

    Article  MATH  Google Scholar 

  22. von Mevius, M., Pibernik, R.: Process management in supply chains—a new Petri-net based approach. In: Proceedings of the 37th Annual Hawaii International Conference on System Sciences, vol. 37, pp. 1153–1162. IEEE Computer Society, January 2004

  23. Wang Z., Zhang J. and Chan F.T.S. (2005). A hybrid petri nets model of networked manufacturing systems and its control system architecture. J. Manufact. Technol. Manage. 16(1): 36–52

    Article  Google Scholar 

  24. Websters dictionary

  25. Zhang, L., Kristensen, L.M., Janczura, C., Gallasch, G.E., Billington, J.: A coloured petri net based tool for course of action development and analysis. In: Formal Methods in Software Engineering and Defence Systems 2002, Proceedings of the Satellite Workshops on Software Engineering and Formal Methods and Formal Methods Applied to Defence Systems. Conferences in Research and Practice in Information Technology Series, vol. 12, pp. 125–134. Australian Computer Society Inc. (2002)

  26. Zhang, L., Kristensen, L.M., Mitchell, B., Gallasch, G.E., Mechlenborg, P., Janczura, C.: COAST—An operational planning tool for course of action development and analysis. In: Proceedings of the 9th International Command and Control Research and Technology Symposium (ICCRTS), Copenhagen, Denmark (2004)

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Guy Edward Gallasch.

Additional information

Authors from the University of South Australia were supported by DSTO Contract No. 4500498737.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Gallasch, G.E., Lilith, N., Billington, J. et al. Modelling defence logistics networks. Int J Softw Tools Technol Transf 10, 75–93 (2008). https://doi.org/10.1007/s10009-007-0052-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10009-007-0052-z

Keywords

Navigation