Development and usage of process state transition tracking method for successive data

Yasuhiko Takemoto, Ikuo Arizono

Research output: Contribution to journalArticlepeer-review


In general, the quality of items produced in a manufacturing process is not necessarily uniform, and it has stochastic variability. Control charts are basic tools for detecting a change in process conditions using the quality data with stochastic variability. When the assignable change in process conditions is detected by the control charts, identifying the time point of state change and searching for assignable causes are important issues in process management. In this study, first we develop the state transition tracking method for depicting the state transition and showing the change points using successive observed data. Then, we discuss a new procedure for monitoring the process conditions using the state transtion tracking method with the control charts.

Original languageEnglish
Pages (from-to)240-248
Number of pages9
JournalJournal of Japan Industrial Management Association
Issue number3
Publication statusPublished - 2015


  • Change point
  • Control charts
  • Information criteiron
  • Likelihood theory
  • Process management

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Applied Mathematics


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