Title of article
Implementation of Fuzzy Rule-based Algorithms in P Control Chart to Improve the Performance of Statistical Process Control
Author/Authors
Rabbi ، Md. F. Department of Industrial Engineering and Management - Faculty of Mechanical Engineering - Khulna University of Engineering and Technology , Chakrabarty ، N. Department of Industrial Engineering and Management - Faculty of Mechanical Engineering - Khulna University of Engineering and Technology , Shefa ، J. Department of Industrial Engineering and Management - Faculty of Mechanical Engineering - Khulna University of Engineering and Technology
From page
441
To page
459
Abstract
In the statistical process control when the process is very sensitive and the control limit shifts are the prime concerns, there the fuzzy control chart can be a better solution. In decision making, the extra ‘rather in control’ and ‘rather out of control’ decisions facilitate to find out the slight changes in the control chart. The automation of the fuzzy control chart in the Excel VBA makes the data input and decisions making process faster. The vagueness of the data is removed as the charts deal with the triangular or trapezoidal area rather than some points in the control limits. Alongside the fuzzy control charts, the Marcucci approach has been followed to find out the goodness-of-fit of the samples and to find out the effectiveness of the fuzzy control charts.
Keywords
Fuzzy control charts , Control limits , Excel VBA , Marcucci approach , Goodness , of , fit
Journal title
International Journal of Research in Industrial Engineering
Journal title
International Journal of Research in Industrial Engineering
Record number
2546205
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