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Analysing maintenance data to gain insight into systems performance

Analysing maintenance data to gain insight into systems performance
Analysing maintenance data to gain insight into systems performance
The high cost of maintenance in the processing industry implies the need for optimal planning of maintenance strategy. In order to achieve this there is a need to understand the underlying failure processes, which are often very complex. In this paper, a new semi-parametric approach, combining Cox regression with density kernal smoothing, is introduced to estimate the underlying performance. The approach has been applied to several processes and it allowed insight into each process, which would not have been achieved if traditional approaches had been used. Particularly, the refurbishment of processes had a significant impact on the rate failure. This paper concludes by assessing this impact of refurbishment on the maintenance programme.
maintenance, repair, asset life, semi-parametric methods, cox regression, smoothing
0160-5682
343-349
Ansell, J.
a3ce3068-328b-4bce-889f-965b0b9d2362
Archibald, T.
abb3ccc9-53d7-411e-a3e6-9bba00b26dfc
Dagpunar, J.
5f29baaf-34aa-4618-98a5-29f99b4f8cf3
Thomas, L.
7bfb1cd3-c990-4617-b97a-4d44314ec11c
Abell, P.
4e22e92d-c42e-42c2-a113-9a2536ab60b0
Duncalf, D.
5b8f5c7e-c8b8-4545-98e2-eae0e5a62d60
Ansell, J.
a3ce3068-328b-4bce-889f-965b0b9d2362
Archibald, T.
abb3ccc9-53d7-411e-a3e6-9bba00b26dfc
Dagpunar, J.
5f29baaf-34aa-4618-98a5-29f99b4f8cf3
Thomas, L.
7bfb1cd3-c990-4617-b97a-4d44314ec11c
Abell, P.
4e22e92d-c42e-42c2-a113-9a2536ab60b0
Duncalf, D.
5b8f5c7e-c8b8-4545-98e2-eae0e5a62d60

Ansell, J., Archibald, T., Dagpunar, J., Thomas, L., Abell, P. and Duncalf, D. (2003) Analysing maintenance data to gain insight into systems performance. Journal of the Operational Research Society, 54 (4), 343-349. (doi:10.1057/palgrave.jors.2601496).

Record type: Article

Abstract

The high cost of maintenance in the processing industry implies the need for optimal planning of maintenance strategy. In order to achieve this there is a need to understand the underlying failure processes, which are often very complex. In this paper, a new semi-parametric approach, combining Cox regression with density kernal smoothing, is introduced to estimate the underlying performance. The approach has been applied to several processes and it allowed insight into each process, which would not have been achieved if traditional approaches had been used. Particularly, the refurbishment of processes had a significant impact on the rate failure. This paper concludes by assessing this impact of refurbishment on the maintenance programme.

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More information

Published date: 2003
Keywords: maintenance, repair, asset life, semi-parametric methods, cox regression, smoothing

Identifiers

Local EPrints ID: 35671
URI: http://eprints.soton.ac.uk/id/eprint/35671
ISSN: 0160-5682
PURE UUID: d30ada5d-a60b-4cca-a27d-64b3b2ce8817

Catalogue record

Date deposited: 22 May 2006
Last modified: 08 Jan 2022 01:06

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Contributors

Author: J. Ansell
Author: T. Archibald
Author: J. Dagpunar
Author: L. Thomas
Author: P. Abell
Author: D. Duncalf

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