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  • Maintenance Contract Model for Complex Asset/Equipment

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    95316_1.pdf (379.4Kb)
    Author(s)
    Rahman, A
    Griffith University Author(s)
    Rahman, Anisur
    Year published
    2014
    Metadata
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    Abstract
    Maintenance contracts received significant attentions in the past 15 to 20 years as it has huge potential to reduce the upfront investments in maintenance infrastructure, specialized maintenance facilities, and risks to the owners through expert services provided by the original equipment manufacturers and/or specialist maintenance providers. To make maintenance contracts more effective, there is a need to develop mathematical models and understand future costs that could be built into the contract price. In this paper, a conceptual model is developed for estimating cost of outsourcing maintenance of complex and critical ...
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    Maintenance contracts received significant attentions in the past 15 to 20 years as it has huge potential to reduce the upfront investments in maintenance infrastructure, specialized maintenance facilities, and risks to the owners through expert services provided by the original equipment manufacturers and/or specialist maintenance providers. To make maintenance contracts more effective, there is a need to develop mathematical models and understand future costs that could be built into the contract price. In this paper, a conceptual model is developed for estimating cost of outsourcing maintenance of complex and critical asset/equipment taking into account both corrective and preventive maintenance as servicing strategies and risks and penalty costs associated with such contract. The developed cost models are analyzed using illustrated numerical examples.
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    Journal Title
    International Journal of Reliability, Quality and Safety Engineering
    Volume
    21
    Issue
    1
    DOI
    https://doi.org/10.1142/S0218539314500028
    Copyright Statement
    Electronic version of an article published in International Journal of Reliability, Quality and Safety Engineering, [Volume, Issue, Year, Pages] [Article DOI] Copyright World Scientific Publishing Company http://www.worldscinet.com/ijqi/
    Subject
    Statistics
    Infrastructure engineering and asset management
    Publication URI
    http://hdl.handle.net/10072/61415
    Collection
    • Journal articles

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