Studying flexibility in modularisable vehicle systems

Authors

  • Adrian Hall Pincombe
  • Axel Bender
  • Fred Bowden

DOI:

https://doi.org/10.21914/anziamj.v49i0.359

Abstract

Some systems continue working under partial failure; errors can be made in assessing the performance of such systems if static measures are used. Systems that appear to be equal on the basis of idealised data can perform differently under component loss. For some system features, such as component modularity, the evidence of benefits, based on static measures, is equivocal. We propose that a modular design will perform better than a nonmodular design under component loss. We consider two systems, each designed to a particular budget and completely effective over all variations contained in the design context. One of the systems has modular components. We use the mission criticality model to assess the benefits of introducing this component modularity and compare the results with a related static assessment. When demands are variable, the modular system is superior under component loss, due to its greater component redundancy. References
  • A. Bender, F. Bowden, A. Pincombe, and P. Williams. Role of mission criticality and component reliability in defining and evaluating system effectiveness. In Andrew Stacey, Bill Blyth, John Shepherd, and A. J. Roberts, editors, Proceedings of the 7th Biennial Engineering Mathematics and Applications Conference, EMAC-2005, volume 47 of ANZIAM J., pages C760--C775, June 2007. \protect http://anziamj.austms.org.au/V47EMAC2005/Bender [June 26, 2007].
  • James Whitacre, Axel Bender, Stephen Baker, Qi Fan, Hussein A. Abbass, and Ruhul Sarker. Network topology and time criticality effects in the modularised fleet mix problem. Accepted for publication simtect2008.
  • Matti A. Hiltunen, Richard D. Schlichting, and Carlos A. Ugarte. Building survivable services using redundancy and adaptation. IEEE Transactions on Computers, 52(2):181--194, February 2003. doi:10.1109/TC.2003.1176985
  • J. F. Meyer. On evaluating the performability of degradable computer systems. IEEE Transactions on Computers, c-29:720--731, 1980.

Published

2008-06-10

Issue

Section

Proceedings Engineering Mathematics and Applications Conference