Title of article
Measuring process capability index Cpmk with fuzzy data and compare it with other fuzzy process capability indices
Author/Authors
Abdolshah، Mohammad نويسنده , , Mohammad and Yusuff، نويسنده , , Rosnah Mohd. and Hong، نويسنده , , Tang Sai and Ismail، نويسنده , , Md. Yusof B. and Sadigh، نويسنده , , Aghdas Naimi، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2011
Pages
6
From page
6452
To page
6457
Abstract
The index Cpmk is a well-known loss-based process capability index. It can reveal more information about the location of the process mean compared with other classic process capability indices. This index is also more sensitive than other capability indices to any deviations from process mean. When there are some uncertainties in observations, fuzzy logic can be employed to manage these uncertainties. There is some research on different fuzzy process capability indices and this paper is an extension of Tsai and Chen (2006), Chen, Lin, and Chen (2003) for the process capability index Cpmk of fuzzy numbers. In order to find the membership function of process capability index Cpmk, the α-cuts of the fuzzy observation were employed. An example of fuzzy process capability Cpmk calculator was illustrated and compared with other classic fuzzy process capability indices C ∼ p , C ∼ pl , C ∼ pu , C ∼ pk and C ∼ pm . Results showed that fuzzy C ∼ pmk has the advantages of both C ∼ pk and C ∼ pm . Since the index Cpmk is a more sensitive index compared with other classic indices, the fuzzy process capability index C ∼ pmk can be a more sensitive fuzzy index compared with C ∼ p , C ∼ pl , C ∼ pu , C ∼ pk and C ∼ pm .
Keywords
Fuzzy process capability indices , Fuzzy data , Index Cpmk , Process capability indices
Journal title
Expert Systems with Applications
Serial Year
2011
Journal title
Expert Systems with Applications
Record number
2349340
Link To Document