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Research on fuzzy control charts for fuzzy multilevel quality characteristics [PDF]
International Journal of Metrology and Quality Engineering, 2021 Fuzzy control charts are proposed to solve the problem that traditional control charts cannot be applied to fuzzy quality characteristics. First, fuzzy quality characteristics are converted to representative statistics, which are fuzzy mode ...
Zhou Juan, Huang Yuhang, Wu Zonghuan
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Journal of Engineering, 2023 Quality control charts are limited to controlling one characteristic of a production process, and it needs a large amount of data to determine control limits to control the process.
Reyam Raheem Jabbar +1 more
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Performance Analysis of Interval Type-2 Fuzzy
Applied Sciences, 2023 Statistical process control (SPC) is one of the most powerful techniques for improving quality, as it is able to detect special causes of problems in processes, products and services with a remarkable degree of accuracy. Among SPC tools, X¯ and R control
Túlio S. Almeida +3 more
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Water Science and Technology, 2023 Fuzzy methods using linguistic expressions and fuzzy numbers can provide a more accurate examination of manufacturing systems where data is not clear. Researchers expanded fuzzy control charts (CCs) using fuzzy linguistic statements and investigated the ...
Nidhal Ben Khedher +4 more
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Solving Fuzzy Attribute Quality Control Charts with proposed Ranking Function
Ibn Al-Haitham Journal for Pure and Applied Sciences, 2021 The attribute quality control charts are one of the main useful tools to use in control of quality product in companies. In this paper utilizing the statistical procedures to find the attribute quality control charts for through fuzzified the real data ...
Esraa Dhafer Thamer, Iden Hasan Hussein
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Fuzzy Xbar and S Control Charts Based on Confidence Intervals
Journal of Advanced Research in Natural and Applied Sciences, 2021 There have been changes since the companies have realized the important role of quality improvement in their success. If they are able to produce high quality products and satisfy demands, then they can survive in competitive global markets.
Nilufer Pekin Alakoc
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Fuzzy Approach to Statistical Control Charts [PDF]
Journal of Applied Mathematics, 2013 After investigating the advantages and disadvantages of current methods of statistical process control, it becomes important to overcome the disadvantages and then use the advantages to improve a method for monitoring a process with categorical ...
Shahryar Sorooshian
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Control Chart Interpretation Using Fuzzy ARTMAP
Journal of King Saud University: Engineering Sciences, 2004 Fuzzy ARTMAP is a newly introduced artificial neural network architecture that incorporates fuzzy logic into its dynamics. In this paper, fuzzy ARTMAP is used to: i) decide whether a production process is under statistical control or out of control and ...
Hindi A. Al-Hindi
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FUZZY LOGIC TEST IN DRAWING AND CALCULATING DEFECTIVE RATIO CONTROL CHARTS IN INDUSTRIES COMPANY
Mağallaẗ Al-kūfaẗ Al-handasiyyaẗFor businesses to remain competitive in the market today, the quality of their products must either be improved upon or maintained. Therefore, creating a fresh strategy that might make more use of data from the production process has turned into a ...
Salman Hussien OMRAN +4 more
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New fuzzy EWMA control charts for monitoring phase II fuzzy profiles [PDF]
Decision Science Letters, 2016 In many quality control applications, the quality of a process or product is explained by the relationship between response variable and one or more explanatory variables, called a profile. In this paper, a new fuzzy EWMA control chart for phase II fuzzy
Ghazale Moghadam +2 more
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