Applying fuzzy theory to develop linguistic control charts The pLCC model
Journal Title: BOHR International Journal of Operations Management Research and Practices - Year 2024, Vol 3, Issue 1
Abstract
This paper studies an approach to use fuzzy set theory and possibility theory to construct control charts – a very important on-line process control tool used in quality control. The control chart is constructed based on linguistic data. The model aims to control the process simply and effectively. The quality characteristics are modeled by fuzzy variable. The status of quality characteristics is modeled by triangle fuzzy number. Fuzzy arithmetic is used to calculate the control chart’s center line. The control chart’s control limits are constructed according to Shewhart’s principle. The fuzzy variable’s standard deviation is calculated by a model developed by Kauffman and Gupta.
Authors and Affiliations
Phong Nguyen Nhu Tu Anh Nguyen Nhu
Keywords
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- EP ID EP743577
- DOI 10.54646/bijomrp.2024.23
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