Abstract
Process performance can be analyzed by using process capability indices (PCIs) successfully. They are summary statistics to depict the process situation. PCIs have not reliable results if the process observations have correlation. In this paper, PCIs called Robust Process Capability Indices (RPCIs) are analyzed unlike traditional PCIs. Also specification limits and standard deviation are defined as fuzzy number. Fuzzy RPCIs are created for piston manufacturing process.
| Original language | English |
|---|---|
| Title of host publication | World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference |
| Publisher | World Scientific Publishing Co. Pte Ltd |
| Pages | 355-360 |
| Number of pages | 6 |
| ISBN (Print) | 981279946X, 9789812799463 |
| DOIs | |
| Publication status | Published - 2008 |
| Event | Computational Intelligence in Decision and Control - 8th International FLINS Conference - Madrid, Spain Duration: 21 Sept 2008 → 24 Sept 2008 |
Publication series
| Name | World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference |
|---|
Conference
| Conference | Computational Intelligence in Decision and Control - 8th International FLINS Conference |
|---|---|
| Country/Territory | Spain |
| City | Madrid |
| Period | 21/09/08 → 24/09/08 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 9 Industry, Innovation, and Infrastructure
Fingerprint
Dive into the research topics of 'Process improvement using fuzzy robust process capability indices'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver