Abstract
Control charts based on Cumulative Count of Conforming (CCC) have been shown to be useful in high-quality processes. In the design stage of any chart in manufacturing industry, economic factors should be taken into account. In this paper, an economic model for CCC chart design is developed. A simplified algorithm is used to search the optimal setting of the sampling and control parameters. Sensitivity analysis is presented and numerical examples are used to illustrate the procedure. Compared with related studies, the model presented here could produce lower cost and smaller Type II error than the existing approach and the procedure is easy to implement. © 2001 Elsevier Science B.V.
| Original language | English |
|---|---|
| Pages (from-to) | 89-97 |
| Journal | International Journal of Production Economics |
| Volume | 72 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 30 Jun 2001 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Research Keywords
- Average run length
- CCC charts
- Economic design
- Statistical process control
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