Abstract
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 language | English |
|---|---|
| Pages (from-to) | 240-248 |
| Number of pages | 9 |
| Journal | Journal of Japan Industrial Management Association |
| Volume | 66 |
| Issue number | 3 |
| Publication status | Published - Jan 1 2015 |
Keywords
- 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