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Scheduling Asset Maintenance and Technology Insertions

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Complex Engineering Service Systems

Part of the book series: Decision Engineering ((DECENGIN))

Abstract

This chapter presents a methodology that has been developed to assist in the planning, scheduling and outsourcing associated with maintenance and service contracting of complex engineering systems. The methodology is based on the delay-time modelling concept and can be used to construct and specify a model of the failure and inspection maintenance processes for a given system or asset. The resulting process model can be used for optimising the maintenance service interval with respect to a number of different criteria including system cost, downtime, availability or reliability. It also caters for a number of analytical scheduling options. Most notably, the model can be used to determine the optimal inspection interval for multiple types of maintenance and service, and can also be used for validatory purposes or to improve the actual maintenance processes. This chapter also discusses the application of the methodology in the context of fixed service life contracts and the potential for incorporating technology insertion processes over time in the modelling process. The model developed can be programmed into a software package to facilitate the actual use of the methodology. The chapter concludes with some simple examples to demonstrate the concepts.

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References

  • A. Akbarov, W. Wang, A.H. Christer, Problem identification in the frame of maintenance modeling: A case study. Int. J. Prod. Res. 46(4), 1031–1046 (2008)

    Article  MATH  Google Scholar 

  • R.D. Baker, W. Wang, Determining the delay-time distribution of faults in repairable machinery from failure data. IMA J. Math. Appl. Bus. Ind. 3, 259–282 (1991)

    Google Scholar 

  • A.H. Christer, Developments in delay-time analysis for modelling plant maintenance. J. Oper. Res. Soc. 50, 1120–1137 (1999)

    MATH  Google Scholar 

  • A.H. Christer, W.M. Waller, Reducing production downtime using delay-time analysis. J. Oper. Res. Soc. 35, 499–512 (1984)

    Google Scholar 

  • A.H. Christer, W. Wang, R.D. Baker, J.M. Sharp, Modelling maintenance practice of production plant using the delay-time concept. IMA J. Manag. Math. 6, 67–83 (1995)

    Article  MATH  Google Scholar 

  • A.H. Christer, W. Wang, J.M. Sharp, R.D. Baker, A stochastic modeling problem of high-tech steel production plant, in Stochastic modelling in innovative manufacturing. Lecture notes in economics and mathematical systems, ed. by A.H. Christer, S. Osaki, L.C. Thomas (Springer, Berlin, 1997), pp. 196–214

    Chapter  Google Scholar 

  • T. Dowling, Technology insertion and obsolescence. J. Def. Sci. 9(3), 151–155 (2004)

    MathSciNet  Google Scholar 

  • C. Jackson, R. Pascual, Optimal maintenance service contract negotiation with aging equipment. Eur. J. Oper. Res. 189, 387–398 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  • B. Jones, I. Jenkinson, J. Wang, Methodology of using delay-time analysis for a manufacturing industry. Reliab. Eng. Syst. Saf. 94, 111–124 (2009)

    Article  Google Scholar 

  • C.I.V. Kerr, R. Phaal, D.R. Probert, Technology insertion in the defence industry: A primer. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. 222, 1009–1023 (2008)

    Article  Google Scholar 

  • A. Lisnianski, L. Frenkel, L. Khvatskin, Y. Ding, Maintenance contract assessment for aging systems. Qual. Reliab. Eng. Int. 24, 519–531 (2008)

    Article  Google Scholar 

  • D. Lugfigheid, A.K.S. Jardine, X. Jiang, Optimizing the performance of a repairable system under a maintenance and repair contract. Qual. Reliab. Eng. Int. 23, 943–960 (2007)

    Article  Google Scholar 

  • D. Lugfigheid, X. Jiang, A.K.S. Jardine, A finite horizon model for repairable system with repair restrictions. J. Oper. Res. Soc. 59, 1321–1331 (2008)

    Article  Google Scholar 

  • A. Pillay, J. Wang, A.D. Wall, T. Ruxton, A maintenance study of fishing vessel equipment using delay-time analysis. J. Qual. Maint. Eng. 7(2), 118–128 (2001)

    Article  Google Scholar 

  • C. Sriram, A. Hagham, An optimization model for aircraft maintenance scheduling and re-assignment. Transp. Res. Part A Policy Pract. 37(1), 29–48 (2003)

    Article  Google Scholar 

  • G. Strong, Technology insertion—a worldwide perspective. J. Def. Sci. 9 (3): 114–121 in press doi: 10.1016/j.ress.2008.06.010 (2004)

  • W. Wang, A model of multiple nested inspections at different intervals. Comput. Oper. Res. 27(6), 539–558 (2000)

    Article  MATH  Google Scholar 

  • W. Wang, Delay-time modelling, in Complex system maintenance handbook, ed. by K. Kobbacy, D. Prahakbar Murth (Springer, London, 2008a)

    Google Scholar 

  • W. Wang, Condition based maintenance modelling, in Complex system maintenance handbook, ed. by K. Kobbacy, D. Prahakbar Murth (Springer, London, 2008b)

    Google Scholar 

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Authors and Affiliations

  1. Salford Business School, University of Salford, Salford, M5 4WT, UK

    W. Wang

  2. School of Economics and Management, University of Science and Technology, Beijing, China

    W. Wang

  3. School of Medicine, The University of Manchester, Manchester, UK

    M. J. Carr

Authors
  1. W. Wang
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  2. M. J. Carr
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Corresponding author

Correspondence to W. Wang .

Editor information

Editors and Affiliations

  1. , Streatham Court, University of Exeter Business School, Rennes Drive, Exeter, EX4 4PU, United Kingdom

    Irene Ng

  2. , Bristol Business School, University of the West of England, Coldharbour Lane, Bristol, BS16 1QY, United Kingdom

    Glenn Parry

  3. PaCT Laboratory, Department of Psychology, Northumbria University, Newcastle upon Tyne, NE1 8ST, United Kingdom

    Peter Wild

  4. , Institute for Manufacturing, University of Cambridge, Charles Babbage Road 17, Cambridge, CB3 0FS, United Kingdom

    Duncan McFarlane

  5. , Institute of Manufacturing, University of Cambridge, Charles Babbage Road 17, Cambridge, CB3 0FS, United Kingdom

    Paul Tasker

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© 2011 Springer-Verlag London Limited

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Wang, W., Carr, M.J. (2011). Scheduling Asset Maintenance and Technology Insertions. In: Ng, I., Parry, G., Wild, P., McFarlane, D., Tasker, P. (eds) Complex Engineering Service Systems. Decision Engineering. Springer, London. https://doi.org/10.1007/978-0-85729-189-9_17

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  • DOI: https://doi.org/10.1007/978-0-85729-189-9_17

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  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-188-2

  • Online ISBN: 978-0-85729-189-9

  • eBook Packages: EngineeringEngineering (R0)

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