A bibliography of the literature on process capability indices (PCIs): 2010–2021, Part I: Books, review/overview papers, and univariate PCI‐related papers
BJ Yum - Quality and Reliability Engineering International, 2023 - Wiley Online Library
This is the author's second bibliography on process capability indices (PCIs) and contains
approximately 1080 journal papers and books for the period 2010–2021. The related …
approximately 1080 journal papers and books for the period 2010–2021. The related …
Finite-interval-valued Type-2 Gaussian fuzzy numbers applied to fuzzy TODIM in a healthcare problem
Multi-criteria decision making (MCDM), especially fuzzy MCDM process, is the most suitable
approach for evaluating strategic decisions. However, in most cases, the Type-1 fuzzy form …
approach for evaluating strategic decisions. However, in most cases, the Type-1 fuzzy form …
A literature review on fuzzy process capability analysis
İ Kaya, M Çolak - Journal of Testing and Evaluation, 2020 - asmedigitalcollection.asme.org
Process capability analysis (PCA) that can be defined as the ability of any process to satisfy
customer demands expressed via specification limits (SLs) is effectively utilized as an …
customer demands expressed via specification limits (SLs) is effectively utilized as an …
Analyzing of process capability indices based on neutrosophic sets
Process capability analysis (PCA) is an important statistical approach for measuring and
analyzing the ability to meet specifications. This analysis has been generally applied by …
analyzing the ability to meet specifications. This analysis has been generally applied by …
Design and analysis of process capability indices Cpm and Cpmk by neutrosophic sets
Process capability indices (PCIs) have been widely used to analyze capability of the process
that measures how the customer expectations have been conformed. Two of the well-known …
that measures how the customer expectations have been conformed. Two of the well-known …
Process design and capability analysis using penthagorean fuzzy sets: surgical mask production machines comparison
E Haktanır, C Kahraman - Journal of Intelligent & Fuzzy …, 2022 - content.iospress.com
Process capability analysis (PCA) is a tool for measuring a process's ability to meet
specification limits (SLs), which the customers define. Process capability indices (PCIs) are …
specification limits (SLs), which the customers define. Process capability indices (PCIs) are …
[HTML][HTML] Product evaluation using uncertainty-based process capability index
M Albassam, M Aslam - Ain Shams Engineering Journal, 2023 - Elsevier
This paper introduces a new process capability index (PCI) under neutrosophic statistics.
The proposed neutrosophic process capability index (NPCI) can be applied to evaluate the …
The proposed neutrosophic process capability index (NPCI) can be applied to evaluate the …
Design and analysis of Cpm and Cpmk indices for uncertainty environment by using Pythagorean fuzzy sets
Process capability analysis (PCA) is a statistical analysis tool to examine variability of the
process that causes faults for outputs and reduces customer satisfaction level. So, it is a …
process that causes faults for outputs and reduces customer satisfaction level. So, it is a …
What can fuzziness do for capability analysis based on fuzzy data
SM Chen, TM Hung - Scientia Iranica, 2021 - scientiairanica.sharif.edu
An advantage of process incapability index over the classical process capability index is that
it provides uncontaminated separation between process accuracy and process precision …
it provides uncontaminated separation between process accuracy and process precision …
Use of Fuzzy Sets in Process Capability Analysis: A Comparative Literature Analysis
FK Gündoğdu, E İlbahar, K Yazır, A Karaşan… - … Conference on Intelligent …, 2024 - Springer
Process capability analysis (PCA) is the assessment of a process's ability to meet customer
requirements specified by constraints. It is a crucial aspect of statistical process control used …
requirements specified by constraints. It is a crucial aspect of statistical process control used …