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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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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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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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Evaluating the Packing Process in Food Industry Using Fuzzy X and S Control Charts [PDF]
International Journal of Computational Intelligence Systems, 2011 The fuzzy set theory addresses the development of concepts and techniques for dealing with uncertainty or impression conditions. If the collected data from a process include vagueness due to human subjectively or measurement system, fuzzy control charts ...
Nihal Erginel +3 more
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A Fuzzy Bivariate Poisson Control Chart [PDF]
Symmetry, 2020 In the present paper, we develop a fuzzy bivariate Poisson (FBP) control chart based on a fuzzy c chart. The FBP chart is used to monitor the sum of the nonconformities of each quality characteristic. There are two contributions of this work. First, we propose a new fuzzy parameter estimation to create a triangular fuzzy number (TFN).
Wibawati +3 more
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A Literature Review on the Fuzzy Control Chart; Classifications & Analysis [PDF]
International Journal of Supply and Operations Management, 2014 Quality control plays an important role in increasing the product quality. Fuzzy control charts are more sensitive than Shewhart control chart. Hence, the correct use of fuzzy control chart leads to producing better-quality products. This area is complex
Mohammad Hossein Zavvar Sabegh +3 more
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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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Implementation of fuzzy rule-based algorithms in p control chart to improve the performance of statistical process control [PDF]
International Journal of Research in Industrial Engineering, 2018 In the statistical process control when the process is very sensitive and control limit shifts are the prime concerns, there fuzzy control charts can be a better solution.
Md. F. Rabbi, N. Chakrabarty, J. Shefa
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Fuzzy Regression Control Chart Based on α-cut Approximation [PDF]
International Journal of Computational Intelligence Systems, 2010 The fuzzy regression control chart is a functional technique to evaluate the process in which the average has a trend and the data represents a linguistic or approximate value. In this study, the theoretical structure of the “α-level fuzzy midrange for α-
Sevil Sentürk
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Development of Control Charts Using Fuzzy Sets
Journal of the Mechanical Behavior of Materials, 2001 Banerjee, R.N. +2 more
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