TY - GEN
T1 - A process capability index with asymmetric tolerances under fuzzy environment
AU - Kahraman, Cengiz
AU - Kaya, Ihsan
AU - Cebi, Selcuk
PY - 2010
Y1 - 2010
N2 - Process capability indices (PCIs) are summary statistics to depict the process location and dispersion successfully and they can be used to show the process performance by producing PCIs. Although PCIs are generally used for a process which has a symmetric tolerance, it is a necessity to analyze some processes where the target value (T) cannot be defined at the midpoint of the specification interval (m). If the T does not locate on m which is called asymmetric tolerances, PCIs have some disadvantages in the casual use and interpretation of PCIs. For these cases, PCIs with asymmetric tolerances have been developed and applied successfully. In this paper one of the most used PCIs with asymmetric tolerances C"pmk is analyzed and the fuzzy set theory is used to provide deep and flexible analysis. The fuzzy formulations of the index C"pmk, which is one of the most used PCI with asymmetric tolerances, are developed. Then a real case application from an automotive company is given.
AB - Process capability indices (PCIs) are summary statistics to depict the process location and dispersion successfully and they can be used to show the process performance by producing PCIs. Although PCIs are generally used for a process which has a symmetric tolerance, it is a necessity to analyze some processes where the target value (T) cannot be defined at the midpoint of the specification interval (m). If the T does not locate on m which is called asymmetric tolerances, PCIs have some disadvantages in the casual use and interpretation of PCIs. For these cases, PCIs with asymmetric tolerances have been developed and applied successfully. In this paper one of the most used PCIs with asymmetric tolerances C"pmk is analyzed and the fuzzy set theory is used to provide deep and flexible analysis. The fuzzy formulations of the index C"pmk, which is one of the most used PCI with asymmetric tolerances, are developed. Then a real case application from an automotive company is given.
KW - Asymmetric tolerances
KW - Fuzzy set theory
KW - Process capability analysis
KW - Process capability index
UR - https://www.scopus.com/pages/publications/79551551112
U2 - 10.1109/ISKE.2010.5680834
DO - 10.1109/ISKE.2010.5680834
M3 - Conference contribution
AN - SCOPUS:79551551112
SN - 9781424467907
T3 - Proceedings of 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2010
SP - 430
EP - 435
BT - Proceedings of 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2010
T2 - 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2010
Y2 - 15 November 2010 through 16 November 2010
ER -