Comparison of strategies for optimal maintenance within utility industries

J. I. Ansell; T. W. Archibald; R. Murray; T. Poole

Comparison of strategies for optimal maintenance within utility industries

J. I. Ansell^*, T. W. Archibald, R. Murray, T. Poole

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

The paper will explore the various strategies that can be employed to achieve 'optimal' maintenance policies within an organisation. When considering a single asset stochastic dynamic programming can be used be used to identify an optimal solution to maximise performance and minimise cost over the life of the asset, see Ansell et al (2001, 2004 and 2003) and Archibald et al (2004). In the case where there are several items the problem becomes inherently more complex, but Whittle Index can be employed, see Whittle (1988) and Glazebrook et al (2006a, 2006b).

Original language	English
Title of host publication	Safety, Reliability and Risk Analysis: Beyond the Horizon
Editors	RDJM Steenbergen, PHAJM VanGelder, S Miraglia, ACWMT Vrouwenvelder
Publisher	CRC PRESS-TAYLOR & FRANCIS GROUP
Pages	637-641
Number of pages	5
ISBN (Print)	978-1-138-00123-7
Publication status	Published - 2014
Event	22nd Annual Conference on European Safety and Reliability (ESREL) - Amsterdam, Netherlands Duration: 29 Sept 2013 → 2 Oct 2013

Conference

Conference	22nd Annual Conference on European Safety and Reliability (ESREL)
Country/Territory	Netherlands
Period	29/09/13 → 2/10/13

Keywords / Materials (for Non-textual outputs)

RESTLESS BANDITS
PERFORMANCE
POLICIES
SYSTEMS

Cite this

@inproceedings{dbe2d44a43ea4e4d8e8334001f66d0d3,

title = "Comparison of strategies for optimal maintenance within utility industries",

abstract = "The paper will explore the various strategies that can be employed to achieve 'optimal' maintenance policies within an organisation. When considering a single asset stochastic dynamic programming can be used be used to identify an optimal solution to maximise performance and minimise cost over the life of the asset, see Ansell et al (2001, 2004 and 2003) and Archibald et al (2004). In the case where there are several items the problem becomes inherently more complex, but Whittle Index can be employed, see Whittle (1988) and Glazebrook et al (2006a, 2006b).",

keywords = "RESTLESS BANDITS, PERFORMANCE, POLICIES, SYSTEMS",

author = "Ansell, {J. I.} and Archibald, {T. W.} and R. Murray and T. Poole",

year = "2014",

language = "English",

isbn = "978-1-138-00123-7",

pages = "637--641",

editor = "RDJM Steenbergen and PHAJM VanGelder and S Miraglia and ACWMT Vrouwenvelder",

booktitle = "Safety, Reliability and Risk Analysis: Beyond the Horizon",

publisher = "CRC PRESS-TAYLOR & FRANCIS GROUP",

note = "22nd Annual Conference on European Safety and Reliability (ESREL) ; Conference date: 29-09-2013 Through 02-10-2013",

}

Ansell, JI , Archibald, TW, Murray, R & Poole, T 2014, Comparison of strategies for optimal maintenance within utility industries. in RDJM Steenbergen, PHAJM VanGelder, S Miraglia & ACWMT Vrouwenvelder (eds), Safety, Reliability and Risk Analysis: Beyond the Horizon. CRC PRESS-TAYLOR & FRANCIS GROUP, pp. 637-641, 22nd Annual Conference on European Safety and Reliability (ESREL), Netherlands, 29/09/13.

Comparison of strategies for optimal maintenance within utility industries. / Ansell, J. I.; Archibald, T. W.; Murray, R. et al.
Safety, Reliability and Risk Analysis: Beyond the Horizon. ed. / RDJM Steenbergen; PHAJM VanGelder; S Miraglia; ACWMT Vrouwenvelder. CRC PRESS-TAYLOR & FRANCIS GROUP, 2014. p. 637-641.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Comparison of strategies for optimal maintenance within utility industries

AU - Ansell, J. I.

AU - Archibald, T. W.

AU - Murray, R.

AU - Poole, T.

PY - 2014

Y1 - 2014

N2 - The paper will explore the various strategies that can be employed to achieve 'optimal' maintenance policies within an organisation. When considering a single asset stochastic dynamic programming can be used be used to identify an optimal solution to maximise performance and minimise cost over the life of the asset, see Ansell et al (2001, 2004 and 2003) and Archibald et al (2004). In the case where there are several items the problem becomes inherently more complex, but Whittle Index can be employed, see Whittle (1988) and Glazebrook et al (2006a, 2006b).

AB - The paper will explore the various strategies that can be employed to achieve 'optimal' maintenance policies within an organisation. When considering a single asset stochastic dynamic programming can be used be used to identify an optimal solution to maximise performance and minimise cost over the life of the asset, see Ansell et al (2001, 2004 and 2003) and Archibald et al (2004). In the case where there are several items the problem becomes inherently more complex, but Whittle Index can be employed, see Whittle (1988) and Glazebrook et al (2006a, 2006b).

KW - RESTLESS BANDITS

KW - PERFORMANCE

KW - POLICIES

KW - SYSTEMS

M3 - Conference contribution

SN - 978-1-138-00123-7

SP - 637

EP - 641

BT - Safety, Reliability and Risk Analysis: Beyond the Horizon

A2 - Steenbergen, RDJM

A2 - VanGelder, PHAJM

A2 - Miraglia, S

A2 - Vrouwenvelder, ACWMT

PB - CRC PRESS-TAYLOR & FRANCIS GROUP

T2 - 22nd Annual Conference on European Safety and Reliability (ESREL)

Y2 - 29 September 2013 through 2 October 2013

ER -

Comparison of strategies for optimal maintenance within utility industries

Abstract / Description of output

Conference

Keywords / Materials (for Non-textual outputs)

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Cite this