Monitoring The Variability In The Process Using Neutrosophic Statistical Interval Method


Monitoring The Variability In The Process Using Neutrosophic Statistical Interval Method
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Monitoring The Variability In The Process Using Neutrosophic Statistical Interval Method


Monitoring The Variability In The Process Using Neutrosophic Statistical Interval Method
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FREE 30 Days

Author : Muhammad Aslam
language : en
Publisher: Infinite Study
Release Date :

Monitoring The Variability In The Process Using Neutrosophic Statistical Interval Method written by Muhammad Aslam and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


Existing variance control charts are designed under the assumptions that no uncertain, fuzzy and imprecise observations or parameters are in the population or the sample. Neutrosophic statistics, which is the extension of classical statistics, has been widely used when there is uncertainty in the data. In this paper, we will originally design S2 control chart under the neutrosophic interval methods.



Control Chart For Variance Using Repetitive Sampling Under Neutrosophic Statistical Interval System


Control Chart For Variance Using Repetitive Sampling Under Neutrosophic Statistical Interval System
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Author : Muhammad Aslam
language : en
Publisher: Infinite Study
Release Date :

Control Chart For Variance Using Repetitive Sampling Under Neutrosophic Statistical Interval System written by Muhammad Aslam and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


In this paper, a control chart for variance using the repetitive sampling under the neutrosophic statistics is proposed. The proposed control chart can be applied for monitoring the variability in the process when some observations/parameters are unclear and indeterminate. The operational procedure of the proposed control chart and the necessary measures are given for the practical use of the proposed control chart. The control chart parameters are determined through the algorithm under neutrosophic statistical interval method. The efficiency of the proposed control chart is compared with the existing control chart in neutrosophic average run length. From the simulation study and a real example, it is concluded that the proposed control chart is more efficient in detecting a shift in the process and more adequate, effective, informative, and exible under the uncertainty environment.



Monitoring The Variability In The Process Using Neutrosophic Statistical Interval Method


Monitoring The Variability In The Process Using Neutrosophic Statistical Interval Method
DOWNLOAD
FREE 30 Days

Author : Muhammad Aslam
language : en
Publisher: Infinite Study
Release Date :

Monitoring The Variability In The Process Using Neutrosophic Statistical Interval Method written by Muhammad Aslam and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


Existing variance control charts are designed under the assumptions that no uncertain, fuzzy and imprecise observations or parameters are in the population or the sample. Neutrosophic statistics, which is the extension of classical statistics, has been widely used when there is uncertainty in the data.



A Variable Acceptance Sampling Plan Under Neutrosophic Statistical Interval Method


A Variable Acceptance Sampling Plan Under Neutrosophic Statistical Interval Method
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Author : Muhammad Aslam
language : en
Publisher: Infinite Study
Release Date :

A Variable Acceptance Sampling Plan Under Neutrosophic Statistical Interval Method written by Muhammad Aslam and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


The acceptance sampling plan plays an important role in maintaining the high quality of a product. The variable control chart, using classical statistics, helps in making acceptance or rejection decisions about the submitted lot of the product. Furthermore, the sampling plan, using classical statistics, assumes the complete or determinate information available about a lot of product. However, in some situations, data may be ambiguous, vague, imprecise, and incomplete or indeterminate. In this case, the use of neutrosophic statistics can be applied to guide the experimenters. In this paper, we originally proposed a new variable sampling plan using the neutrosophic interval statistical method.



Monitoring The Process Based On Belief Statistic For Neutrosophic Gamma Distributed Product


Monitoring The Process Based On Belief Statistic For Neutrosophic Gamma Distributed Product
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Author : Muhammad Aslam
language : en
Publisher: Infinite Study
Release Date :

Monitoring The Process Based On Belief Statistic For Neutrosophic Gamma Distributed Product written by Muhammad Aslam and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


In this paper, we developed a control chart methodology for the monitoring the mean time between two events using the belief estimator under the neutrosophic gamma distribution. The proposed control chart coeffcients and the neutrosophic average run length (NARL) have been determined using different process settings. The performance of the proposed chart is compared with the control chart under classical statistics in terms of NARL using the simulation data and real example. From comparisons, it is concluded that the proposed chart is effcient, effective and adequate to be used under uncertainty environment than the chart under classical statistics.



Process Monitoring For Gamma Distributed Product Under Neutrosophic Statistics Using Resampling Scheme


Process Monitoring For Gamma Distributed Product Under Neutrosophic Statistics Using Resampling Scheme
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Author : Abdullah M. Almarashi
language : en
Publisher: Infinite Study
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Process Monitoring For Gamma Distributed Product Under Neutrosophic Statistics Using Resampling Scheme written by Abdullah M. Almarashi and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


In this article, a repetitive sampling control chart for the gamma distribution under the indeterminate environment has been presented. The control chart coefficients, probability of in-control, probability of out-of-control, and average run lengths have been determined under the assumption of the symmetrical property of the normal distribution using the neutrosophic interval method.



Monitoring The Process Based On Belief Statistic For Neutrosophic Gamma Distributed Product


Monitoring The Process Based On Belief Statistic For Neutrosophic Gamma Distributed Product
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FREE 30 Days

Author : Muhammad Aslam
language : en
Publisher: Infinite Study
Release Date :

Monitoring The Process Based On Belief Statistic For Neutrosophic Gamma Distributed Product written by Muhammad Aslam and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


In this paper, we developed a control chart methodology for the monitoring the mean time between two events using the belief estimator under the neutrosophic gamma distribution. The proposed control chart coefficients and the neutrosophic average run length (NARL) have been determined using different process settings. The performance of the proposed chart is compared with the control chart under classical statistics in terms of NARL using the simulation data and real example. From comparisons, it is concluded that the proposed chart is efficient, effective and adequate to be used under uncertainty environment than the chart under classical statistics.



Advances In Condition Monitoring Optimization And Control For Complex Industrial Processes


Advances In Condition Monitoring Optimization And Control For Complex Industrial Processes
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Author : Zhiwei Gao
language : en
Publisher: MDPI
Release Date : 2021-09-01

Advances In Condition Monitoring Optimization And Control For Complex Industrial Processes written by Zhiwei Gao and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Science categories.


The book documents 25 papers collected from the Special Issue “Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes”, highlighting recent research trends in complex industrial processes. The book aims to stimulate the research field and be of benefit to readers from both academic institutes and industrial sectors.



A New X Bar Control Chart For Using Neutrosophic Exponentiallyweighted Moving Average


A New X Bar Control Chart For Using Neutrosophic Exponentiallyweighted Moving Average
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Author : Muhammad Aslam
language : en
Publisher: Infinite Study
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A New X Bar Control Chart For Using Neutrosophic Exponentiallyweighted Moving Average written by Muhammad Aslam and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


The existing Shewhart X-bar control charts using the exponentially weighted moving average statistic are designed under the assumption that all observations are precise, determined, and known. In practice, it may be possible that the sample or the population observations are imprecise or fuzzy. In this paper, we present the designing of the X-bar control chart under the symmetry property of normal distribution using the neutrosophic exponentially weighted moving average statistics. We will first introduce the neutrosophic exponentially weighted moving average statistic, and then use it to design the X-bar control chart for monitoring the data under an uncertainty environment. We will determine the neutrosophic average run length using the neutrosophic Monte Carlo simulation. The eciency of the proposed plan will be compared with existing control charts.



Design Of Control Chart For Monitoring Process Having Indeterminate Production Data


Design Of Control Chart For Monitoring Process Having Indeterminate Production Data
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Author : Muhammad Aslam
language : en
Publisher: Infinite Study
Release Date :

Design Of Control Chart For Monitoring Process Having Indeterminate Production Data written by Muhammad Aslam and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


The existing charts for monitoring the variance are designed under the assumption that all production data must consist of exact, precise, and determined observations. This paper presents the design of a new neutrosophic exponentially weighted moving average (NEWMA) combining with a neutrosophic logarithmic transformation chart for monitoring the variance having neutrosophic numbers. The computation of the neutrosophic control chart parameters is done through the neutrosophic Monte Carlo simulation (NMCS). The performance of the proposed chart is discussed with the existing charts.