Modelling defence logistics networks

  • Authors:

  • Guy Edward Gallasch;Nimrod Lilith;Jonathan Billington;Lin Zhang;Axel Bender;Benjamin Francis

  • Affiliations:

  • University of South Australia, Computer Systems Engineering Centre, School of Electrical and Information Engineering, Mawson Lakes Campus, 5095, Mawson Lakes, SA, Australia;University of South Australia, Computer Systems Engineering Centre, School of Electrical and Information Engineering, Mawson Lakes Campus, 5095, Mawson Lakes, SA, Australia;University of South Australia, Computer Systems Engineering Centre, School of Electrical and Information Engineering, Mawson Lakes Campus, 5095, Mawson Lakes, SA, Australia;Defence Science and Technology Organisation, Logistics Mission, Land Operations Division, PO Box 1500, Mawson Lakes Campus, 5111, Edinburgh, SA, Australia;Defence Science and Technology Organisation, Logistics Mission, Land Operations Division, PO Box 1500, Mawson Lakes Campus, 5111, Edinburgh, SA, Australia;Defence Science and Technology Organisation, Logistics Mission, Land Operations Division, PO Box 1500, Mawson Lakes Campus, 5111, Edinburgh, SA, Australia

  • Venue:
  • International Journal on Software Tools for Technology Transfer (STTT)
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

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.