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A data deficiency based parameter estimating problem and case study in delay time PM modeling

Christer, AH, Lee, C and Wang, W 2000, 'A data deficiency based parameter estimating problem and case study in delay time PM modeling' , International Journal of Production Economics, 67 , pp. 63-76.

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    Abstract

    This paper describes a modeling study of preventive maintenance (PM) policy of production plant in a local company with a view to improving current practice. The model developed is based upon the delay time concept where because of an absence of PM data, the process parameters and the delay time distribution were estimated from failure data only using the method of maximum likelihood. Particular attention is paid to the problem arising during the parameter estimating process because of the inadequate recording of PM data and the implied correlation between model parameters. An objective estimation process has been adopted here as far as possible. The case of data de"ciency explored in the study is important because it is a relatively general situation in practice. An inspection model is "nally proposed to identify the best inspection policy based upon the estimated model parameters and the delay time distribution. It is concluded that the company has other problems to attend to before the inspection problem is "nally solved, and a structured review of maintenance engineering practice is recommended. ( 2000 Elsevier Science B.V. All rights reserved.

    Item Type: Article
    Uncontrolled Keywords: Delay time modeling; Preventive maintenance; Parameter estimation; Modeling
    Themes: Subjects / Themes > Q Science > QA Mathematics > QA275 Mathematical Statistics
    Subjects outside of the University Themes
    Schools: Colleges and Schools > College of Business & Law > Salford Business School > Operations and Global Logistics Management
    Journal or Publication Title: International Journal of Production Economics
    Publisher: Elsevier
    Refereed: Yes
    ISSN: 0925-5273
    Depositing User: W Wang
    Date Deposited: 24 Nov 2009 11:44
    Last Modified: 20 Aug 2013 17:01
    URI: http://usir.salford.ac.uk/id/eprint/2548

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