(2011-6272) Design and analysis of process capability indices cpm and cpmk by neutrosophic sets

IF 1.9 4区 数学 Q1 MATHEMATICS
S. Yalçın, I. Kaya
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引用次数: 6

Abstract

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 PCIs, named indices $ C_{pm} $ and $ C_{pmk} $ have been developed to consider customers' ideal value that called target value ($ T $). Although, these indices have similar features of the well-known indices $ C_{p} $ and $ C_{pk} $, one of the most important differences is to consider textit{T}. In real case problems, we need to add some uncertainties related with human's evaluations into process capability analysis (PCA). One of the uncertainty modelling methods called neutrosophic sets (NSs), have an important role in modeling uncertainty based on incomplete and inconsistent information. For this aim, the PCIs have been designed by using NSs to manage the uncertainties of systems and to increase sensitiveness, flexibility and to obtain more detailed results of PCA in this paper. For this aim, the indices $ C_{pm} $ and $ C_{pmk} $ have been performed and re-designed by using single valued neutrosophic numbers for the first time in the literature. Additionally, specification limits (SLs) have been re-considered by using NSs. The neutrosophic state of the SLs provide us to have more knowledge about the process and easily applied for engineering problems that includes uncertainty. Finally, the neutrosophic process capability indices (NPCIs) $ widetilde{dddot{C}}_{pm}$ and $ widetilde{dddot{C}}_{pmk} $ have been obtained and the main formulas of them have been produced. Additionally, the proposed $ widetilde{dddot{C}}_{pm} $ and $ widetilde{dddot{C}}_{pmk} $ have been applied on real case studies from manufacturing industry. The obtained results show that the indices $ widetilde{dddot{C}}_{pm} $ and $ widetilde{dddot{C}}_{pmk} $ include more informative and flexible results to evaluate capability of process.
(2011-6272)中性粒细胞组工艺能力指标cpm和cpmk的设计分析
过程能力指数(pci)已被广泛用于分析过程的能力,以衡量客户期望是否得到了满足。两个著名的cpi指数$ C_{pm} $和$ C_{pmk} $是用来考虑客户的理想价值,即目标值($ T $)。虽然这些指数与众所周知的指数$ C_{p} $和$ C_{pk} $具有相似的特征,但最重要的区别之一是要考虑文本{T}。在实际问题中,我们需要在过程能力分析(PCA)中加入一些与人的评价相关的不确定性。中性粒细胞集(NSs)是一种不确定性建模方法,在不完全不一致信息的不确定性建模中具有重要作用。为此,本文利用神经网络设计了PCA来管理系统的不确定性,提高了PCA的灵敏度和灵活性,并获得了更详细的PCA结果。为此,在文献中首次采用单值嗜中性数对指标$ C_{pm} $和$ C_{pmk} $进行了重新设计。此外,使用NSs重新考虑了规范限制(SLs)。SLs的中性状态为我们提供了更多关于过程的知识,并且易于应用于包括不确定性在内的工程问题。最后,得到了中性粒细胞过程能力指数$ widdetilde {dddot{C}}_{pm}$和$ widdetilde {dddot{C}}_{pmk} $,并给出了它们的主要公式。此外,提出的$ widdetilde {dddot{C}}_{pm} $和$ widdetilde {dddot{C}}_{pmk} $已应用于制造业的实际案例研究。结果表明,指标$ widetilde{dddot{C}}_{pm} $和$ widetilde{dddot{C}}_{pmk} $为工艺性能评价提供了更丰富、更灵活的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.50
自引率
16.70%
发文量
0
期刊介绍: The two-monthly Iranian Journal of Fuzzy Systems (IJFS) aims to provide an international forum for refereed original research works in the theory and applications of fuzzy sets and systems in the areas of foundations, pure mathematics, artificial intelligence, control, robotics, data analysis, data mining, decision making, finance and management, information systems, operations research, pattern recognition and image processing, soft computing and uncertainty modeling. Manuscripts submitted to the IJFS must be original unpublished work and should not be in consideration for publication elsewhere.
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