A job-classifying and data-mining approach for estimating job cycle time in a wafer fabrication factory

Tin-Chih Chen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Before making a due date commitment to our customer, we need to estimate the cycle times of jobs. For this reason, many of the most-advanced methods classify jobs, before or after estimating the cycle times. However, job classification is not directly helpful to optimize the performances of these estimation methods. To solve this problem, a job-classifying and data-mining approach is proposed in this study to improve the performance of cycle time estimation by optimizing the results of job classification. In addition, some association rules are also extracted from the estimation results to facilitate the practical application of the proposed methodology. According to the results of a case study, the job-classifying and data-mining approach achieved a better estimation performance and could produce some useful estimation rules.

Original languageEnglish
Pages (from-to)317-328
Number of pages12
JournalInternational Journal of Advanced Manufacturing Technology
Volume62
Issue number1-4
DOIs
StatePublished - 1 Sep 2012

Keywords

  • Cycle time
  • Data mining
  • Estimation
  • Job classification
  • Wafer fabrication

Fingerprint Dive into the research topics of 'A job-classifying and data-mining approach for estimating job cycle time in a wafer fabrication factory'. Together they form a unique fingerprint.

Cite this