Learning curve analysis in total productive maintenance

F. K. Wang*, W. Lee

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

53 Scopus citations

Abstract

The continuous improvement concepts such as total quality management, just-in-time and total productive maintenance have been widely recognized as a strategic weapon and successfully implemented in many organizations. In this paper, we focus on the application of total productive maintenance (TPM). A random effect non-linear regression model called the Time Constant Model was used to formulate a prediction model for the learning rate in terms of company size, sales, ISO 9000 certification and TPM award year. A two-stage analysis was employed to estimate the parameters. Using the approach of this study, one can determine the appropriate time for checking the performance of implementing total productive maintenance. By comparing the expected overall equipment effectiveness (OEE), one can improve the maintenance policy and monitor the progress of OEE.

Original languageEnglish
Pages (from-to)491-499
Number of pages9
JournalOmega (United Kingdom)
Volume29
Issue number6
DOIs
StatePublished - 12 2001
Externally publishedYes

Keywords

  • Learning curve
  • Overall equipment effectiveness
  • Total productive maintenance

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