The development of an intelligent maintenance optimisation system

Proudlove, NC 1995, The development of an intelligent maintenance optimisation system , MPhil thesis, University of Salford.

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This thesis describes the background to and development of a computer-based decision support system (DSS) known as IMOS, the intelligent maintenance optimisation system. The aim of the system is to help industrial maintenance engineers improve the planned preventive maintenance policies applied to large and complex technical systems. IMOS attempts to achieve this by providing some automated analysis of the huge amounts of maintenance history information which is accumulating in the computerised data bases of many large industrial companies. The keys to this analysis are a set of mathematical models of the effects of maintenance activities and expert judgement about which of the models is most suitable under a particular set of circumstances. These features are incorporated in the IMOS software as a 'model base1 module, consisting of a set of routines for each mathematical model, and a 'rule base' module which selects the most appropriate models by recognising characteristic patterns in the historical data for each item of equipment. There are no previous attempts in the maintenance literature to formulate such a list of rules to guide model selection. The study and modelling of industrial maintenance is reviewed, as is relevant work on the support of management decision making and the features and evolution of DSS is also discussed. The need for and benefits of a system such as IMOS are described and the suitability of the intelligent decision support system approach is discussed. The mathematical models, the selection rules, and optimisation criteria and techniques are detailed, and the development of the software, written in C for an IBM compatible PC, is described. The research was conducted in collaboration with two major oil exploration and production companies and data from several North Sea oil-production platforms are analysed and discussed. Finally, achievements and shortcomings of the system are discussed and some suggestions for further research outlined.

Item Type: Thesis (MPhil)
Contributors: Kobbacy, K (Supervisor)
Schools: Schools > School of Computing, Science and Engineering
Depositing User: Institutional Repository
Date Deposited: 23 Jul 2021 14:35
Last Modified: 27 Aug 2021 21:55

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