Problem identification in maintenance modelling: a case study |
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Authors: | A. Akbarov A. H. Christer W. Wang |
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Affiliation: | 1. Centre for OR and Applied Statistics , University of Salford , Salford M5 4WT, UK a.akbarov@pgr.salford.ac.uk;3. Centre for OR and Applied Statistics , University of Salford , Salford M5 4WT, UK |
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Abstract: | This paper is concerned with a problem identification and problem focus process in maintenance modelling. It endeavours to describe the process of moving from vague problem understanding towards more specific problem formulation and problem focus in the pursuit of practical decision making. This process was conducted using several analytical tools that complemented each other such as regression analyses, snapshot modelling and delay time modelling. As in many case studies related to maintenance modelling, this study also makes use of the experience of experts. It can be seen from the paper that subjective data estimates can prove to be a useful input for modelling. The analysis shows how simple modelling of maintenance problems can provide useful insights and better understanding of the problem in hand. |
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Keywords: | Maintenance modelling Problem identification Delay time modelling |
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