Abstract
Quality and productivity improvement has become an essential element of the overall strategic plan for most organizations. This has sparked renewed interest in statistical methods for quality improvement. This paper reviews some recent developments in statistical methodology that have application in product and process improvement, concentrating on statistical process control and design of experiments. Some directions for future research are identified.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 4-17 |
| Number of pages | 14 |
| Journal | IIE Transactions (Institute of Industrial Engineers) |
| Volume | 24 |
| Issue number | 5 |
| DOIs | |
| State | Published - Nov 1992 |
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering