yes / In modern chemical plants, it is essential to establish an effective maintenance strategy which will deliver financially driven results at optimised conditions, that is, minimum cost and time, by means of a criticality review of equipment in maintenance. In this article, a fuzzy logic-based criticality assessment system (FCAS) for the management of a local company’s equipment maintenance is introduced. This fuzzy system is shown to improve the conventional crisp criticality assessment system (CCAS). Results from case studies show that not only can the fuzzy logic-based system do what the conventional crisp system does but also it can output more criticality classifications with an improved reliability and a greater number of different ratings that account for fuzziness and individual voice of the decision-makers.
| Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/7922 |
| Date | 09 July 2013 |
| Creators | Qi, Hong Sheng, Alzaabi, R.N., Wood, Alastair S., Jani, M. |
| Source Sets | Bradford Scholars |
| Language | English |
| Detected Language | English |
| Type | Article, Accepted Manuscript |
| Rights | © 2015 Taylor and Francis. Reproduced in accordance with the publisher's self-archiving policy. This is an Author's Original Manuscript of an article published by Taylor & Francis in the International Journal of Computer Integrated Manufacturing, Jan 2015, available online at http://dx.doi.org/10.1080/0951192X.2013.814160 |
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