Results 11 to 20 of about 2,499 (281)
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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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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Fuzzy short-run control charts
Mathware & soft computing, 2007 Statistical control charts are useful tools in monitoring the state of a manufacturing process. Control charts are used to plot process data and compare it to the limits set for the process. Points plotting outside these limits indicate an out-of-control condition. Standard control charting procedures, however, are limited in that they cannot take into
Fonseca, D. J., Elam, M. E., Tibbs, L.
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Fuzzy x- and s Control Charts: A Data-Adaptability and Human-Acceptance Approach [PDF]
Complexity, 2017 For sequentially monitoring and controlling average and variability of an online manufacturing process, x¯ and s control charts are widely utilized tools, whose constructions require the data to be real (precise) numbers.
Ming-Hung Shu +4 more
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CONSTRUCTION OF FUZZY C CONTROL CHARTS BASED ON FUZZY RULE METHOD [PDF]
ANADOLU UNIVERSITY JOURNAL OF SCIENCE AND TECHNOLOGY A - Applied Sciences and Engineering, 2017 A control chart is a tool that is used for representing and monitoring the process. Also control chart detected process shifts and abnormal conditions in a process. In a process monitored the c control charts, due to the uncertainty of the attribute data, c control chart may not applicable for the process since it’s required certain information.
Şentürk, Sevil
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A Fuzzy Control Chart Approach for Attributes and Variables [PDF]
Engineering, Technology & Applied Science Research, 2018 The purpose of this study is to present a new approach for fuzzy control charts. The procedure is based on the fundamentals of Shewhart control charts and the fuzzy theory. The proposed approach is developed in such a way that the approach can be applied in a wide variety of processes.
Alakoc, Nilufer Pekin, Apaydin, Aysen
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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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A Fuzzy EWMA Attribute Control Chart to Monitor Process Mean
Information, 2018 Conventional control charts are one of the most important techniques in statistical process control which are used to assess the performance of processes to see whether they are in- or out-of-control.
Muhammad Zahir Khan +4 more
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Managed Pressure Drilling Using Integrated Process Control [PDF]
Iranian Journal of Oil & Gas Science and Technology, 2020 Control of wellbore pressure during drilling operations has always been important in the oil industry as this can prevent the possibility of well blowout.
Mahdi Imanian +2 more
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Multivariate Control Chart based on Neutrosophic Hotelling T2 Statistics and Its Application
JTAM (Jurnal Teori dan Aplikasi Matematika), 2022 Under classical statistics Hotelling 〖 T〗^2 control chart is applied when the observations of quality characteristics are precise, exact, or crips data. However, in reality, under uncertain conditions, the observations are not necessarily precise, exact,
Wibawati Wibawati +4 more
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