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

Christer, AH; Lee, C; Wang, W

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.

Citation

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

• Journal Article Type: Article
• Publication Date: Jan 1, 2000
• Deposit Date: Nov 24, 2009
• Journal: International Journal of Production Economics
• Print ISSN: 0925-5273
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 67
• Pages: 63-76
• Keywords: Delay time modeling; Preventive maintenance; Parameter estimation; Modeling