Home // COGNITIVE 2014, The Sixth International Conference on Advanced Cognitive Technologies and Applications // View article

The Role of of Expert Judgement in Optimising Preventive Maintenance and System Architecture

Authors:
Shawulu Nggada
Yiannis Papadopoulos

Keywords: Maintenance; expert judgement; optimisation; genetic algorithm.

Abstract:
In the current industrial practice, optimisation of maintenance schedules is typically done using expert judgement but not via exhaustive exploration of all possible options for scheduling. Recently, it has been shown that search heuristics such as genetic algorithms can be used in conjunction with stochastic reliability prediction to optimise the maintenance schedules of components in a system. In this paper, we extend this framework to include the optional modelling of informed decisions by experts in terms of the time at which maintenance actions could be performed on components and decisions about which implementations of components should be in the final design. With this method, useful human knowledge and experience can be incorporated in a process that allows extensive exploration of the space of possible options for optimal or near optimal architecture and maintenance scheduling. The approach is demonstrated on a simplified model of fuel system.

Pages: 38 to 44

Copyright: Copyright (c) IARIA, 2014

Publication date: May 25, 2014

Published in: conference

ISSN: 2308-4197

ISBN: 978-1-61208-340-7

Location: Venice, Italy

Dates: from May 25, 2014 to May 29, 2014