TY - GEN
T1 - Process improvement using fuzzy robust process capability indices
AU - Kahraman, Cengiz
AU - Kaya, Ihsan
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=58049165014&partnerID=8YFLogxK
U2 - 10.1142/9789812799470_0058
DO - 10.1142/9789812799470_0058
M3 - Conference contribution
AN - SCOPUS:58049165014
SN - 981279946X
SN - 9789812799463
T3 - World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference
SP - 355
EP - 360
BT - World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference
PB - World Scientific Publishing Co. Pte Ltd
T2 - Computational Intelligence in Decision and Control - 8th International FLINS Conference
Y2 - 21 September 2008 through 24 September 2008
ER -