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An integrated optimal-GICP design for the SPRT control chart with estimated process parameters based on the average number of observations to signal 基于平均观测信号数估算工艺参数的 SPRT 控制图综合优化-GICP 设计
IF 2.8 2区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2024-02-07 DOI: 10.1080/16843703.2024.2312010
J.W. Teoh, W.L. Teoh, Michael B.C. Khoo, K.P. Tran, M.H. Lee
As a variable-sample-size control scheme, the sequential probability ratio test (SPRT) chart is favoured due to its sensitivity and high sampling efficiency. It is frequently documented that the SP...
作为一种可变样本量控制方案,顺序概率比检验(SPRT)图因其灵敏度高、抽样效率高而备受青睐。经常有文献表明,SPRT...
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引用次数: 0
Determining optimal process means in a multi-stage production system with inspection errors in 100% inspection 在存在 100% 检验误差的多级生产系统中确定最佳工艺手段
IF 2.8 2区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2024-02-05 DOI: 10.1080/16843703.2024.2312016
Ahmet Kolus, Salih Duffuaa
The problem of determining optimal process parameters for multiple processes has not been widely addressed in the literature. Another important consideration that is frequently overlooked is the pr...
文献中尚未广泛涉及为多种工艺确定最佳工艺参数的问题。另一个经常被忽视的重要考虑因素是工艺参数。
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引用次数: 0
Change-point design-based charting schemes for monitoring process variability 基于变化点设计的图表方案,用于监测工艺变异性
IF 2.8 2区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2024-02-01 DOI: 10.1080/16843703.2024.2311980
Mengjie Tang, Dan Wang
Most of the recommended nonparametric control charts apply to monitor location parameter. In this paper, we propose a nonparametric exponentially weighted moving average (EWMA) control chart for mo...
大多数推荐的非参数控制图都适用于监控位置参数。在本文中,我们提出了一种非参数指数加权移动平均(EWMA)控制图,适用于监测器的位置参数。
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引用次数: 0
An adaptive EWMA chart for Poisson process 泊松过程的自适应 EWMA 图表
IF 2.8 2区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2024-01-19 DOI: 10.1080/16843703.2024.2304958
Zakia Batool, Abdul Haq
This paper introduces an adaptive EWMA (AEWMA) chart designed for monitoring Poisson processes. This chart offers a streamlined implementation process, eliminating the need for additional parameter...
本文介绍了一种专为监测泊松过程而设计的自适应 EWMA(AEWMA)图表。该图表简化了实施过程,无需额外的参数设置。
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引用次数: 0
Inference for a general family of exponentiated distributions under ranked set sampling with partially observed complementary competing risks data 在部分观测互补竞争风险数据的有序集合抽样下,指数分布一般族的推论
IF 2.8 2区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-12-29 DOI: 10.1080/16843703.2023.2297126
Liang Wang, Yuhlong Lio, Yogesh Mani Tripathi, Tzong-Ru Tsai
Ranked set sampling (RSS) acts as an efficient way for collecting failure information due to its ability of saving testing time and cost, and this paper discusses statistical inference for compleme...
排序集抽样(RSS)能够节省测试时间和成本,是收集故障信息的有效方法。
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引用次数: 0
Binary decision diagram-based reliability modeling of phased-mission manufacturing system processing multi-type products 基于二元决策图的多类型产品分阶段任务制造系统可靠性建模
IF 2.8 2区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-11-24 DOI: 10.1080/16843703.2023.2286410
Yongwei Ke, Xin Wang, Zhenggeng Ye, Shuai Zhang, Zhiqiang Cai
The development of science and technology drives phased-mission manufacturing systems to be increasingly complex, which poses significant challenges to system reliability analysis. Although it has ...
随着科学技术的发展,分阶段任务制造系统日益复杂化,这对系统可靠性分析提出了重大挑战。虽然它有……
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引用次数: 0
A lamp location problem based on system reliability 基于系统可靠性的灯具定位问题
IF 2.8 2区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-11-20 DOI: 10.1080/16843703.2023.2283982
Zilong Feng, Ruiyou Zhang, Won Young Yun
This paper studies one- and two-dimensional lamp location problems considering system reliability. Within the system, several identical lamps are used to cover the system service area, and each lam...
本文研究了考虑系统可靠性的一维和二维灯具定位问题。在系统内,几个相同的灯被用来覆盖系统服务区域,每个灯…
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引用次数: 0
Reliability evaluation for time-based stochastic manufacturing networks with time-dependent reliability 具有时变可靠性的基于时间的随机制造网络可靠性评估
IF 2.8 2区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-11-20 DOI: 10.1080/16843703.2023.2283980
Ping-Chen Chang, Cheng-Fu Huang, Lance Fiondella
This study aims to evaluate the system reliability for a time-based stochastic manufacturing network (TSMN). The architecture of a TSMN includes arcs and nodes where each node is an inspection stat...
本研究旨在评估基于时间的随机制造网络(TSMN)的系统可靠性。TSMN的架构包括弧线和节点,其中每个节点是一个检测状态。
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引用次数: 0
Simultaneous monitoring of multivariate time between events and their magnitude using multivariate marked Hawkes point process 用多变量标记霍克斯点过程同时监测事件之间的多变量时间及其震级
2区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-11-09 DOI: 10.1080/16843703.2023.2278968
Mohammadreza Mirzaei Novin, Amirhossein Amiri
ABSTRACTIn this paper, monitoring the time between events is discussed. The control chart of the time between events in multivariate mode discusses the conditions under which the Hawkes point process generates the time data. It is also necessary to consider that monitoring time data individually and regardless of the magnitude of an event is not very important. Therefore, in addition to monitoring time data, it is also essential to monitor the magnitude of an event. Because of that, the magnitude of each event is considered along with monitoring the time between multivariate events through data generation with the multivariate marked Hawkes point process. Three statistics are presented for simultaneous monitoring of the time between events and the magnitude. A Max-EWMA, two single EWMA that each of which are used to monitor TBE and magnitude (TSEWMA), and the third statistic, derived from existing literature, is a Shewhart statistic that has been integrated into an EWMA statistic framework (EWMA-Z). These charts have been used for a case study and compared according to different shifts.KEYWORDS: High quality processStatistical Process Monitoring (SPM)multivariate time between eventstime between events and magnitudeHawkes point processAverage Run Length (ARL) Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsMohammadreza Mirzaei NovinMohammadreza Mirzaei Novin is a graduated M.Sc. in Industrial Engineering from Shahed University. His research interest is statistical process monitoring.Amirhossein AmiriAmirhossein Amiri is a Full Professor at Shahed University in Iran. He holds a BS, MS, and PhD in Industrial Engineering from Khajeh Nasir University of Technology, Iran University of Science and Technology, and Tarbiat Modares University in Iran, respectively. He is currently serving as the Vice Chancellor of Education in the Faculty of Engineering at Shahed University in Iran and is a member of the Iranian Statistical Association. His research interests encompass statistical process monitoring, profile monitoring, and change point estimation. He has published many papers in the field of statistical process control in esteemed international journals such as European Journal of Operational Research, Quality and Reliability Engineering International, Communications in Statistics, Computers & Industrial Engineering, Journal of Statistical Computation and Simulation, Soft Computing and more. In 2011, he co-authored a book titled ”Statistical Analysis of Profile Monitoring” published by John Wiley and Sons.
本文讨论了事件间隔时间的监控问题。多元模式下的事件间时间控制图讨论了霍克斯点过程产生时间数据的条件。还需要考虑的是,单独监测时间数据,而不考虑事件的大小,这不是很重要。因此,除了监测时间数据外,还必须监测事件的规模。因此,通过多变量标记Hawkes点过程生成数据,考虑每个事件的震级,同时监测多变量事件之间的时间。提出了三种统计数据,用于同时监测事件之间的时间和震级。一个是Max-EWMA,两个单独的EWMA,每个都用来监测TBE和量级(TSEWMA),第三个统计量来自现有文献,是一个Shewhart统计量,已集成到EWMA统计框架(EWMA- z)中。这些图表已用于案例研究,并根据不同的班次进行了比较。关键词:高质量流程统计流程监控(SPM)多变量事件间隔时间事件与量级之间的时间霍克斯点流程平均运行长度(ARL)披露声明作者未报告潜在的利益冲突。mohammad madreza Mirzaei Novin是Shahed大学工业工程专业的硕士毕业生。主要研究方向为统计过程监测。Amirhossein Amiri是伊朗沙希德大学的正教授。他分别拥有Khajeh Nasir理工大学、伊朗科技大学和伊朗Tarbiat Modares大学的工业工程学士、硕士和博士学位。他目前担任伊朗Shahed大学工程学院的教育副校长,也是伊朗统计协会的成员。他的研究兴趣包括统计过程监控、概要监控和变更点估计。他在欧洲运筹学杂志、国际质量与可靠性工程杂志、统计通讯杂志、计算机与工业工程杂志、统计计算与仿真杂志、软计算等知名国际期刊上发表了许多统计过程控制领域的论文。2011年,他与人合著了一本名为《档案监测的统计分析》的书,由John Wiley and Sons出版。
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引用次数: 0
Optimum test condition setting and sample allocation for accelerated degradation tests under the last-exit-time failure mode 最后失效模式下加速退化试验的最佳试验条件设置和样品分配
2区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-10-17 DOI: 10.1080/16843703.2023.2269733
Junchao Dong, Xiaobing Ma, Han Wang, Yujie Liu, Yu Zhao
ABSTRACTAccelerated degradation tests (ADTs) have been widely adopted for products whose failure is defined as the first-passage-time (FPT) when the degradation path crosses a given threshold. However, for products whose failure is defined as the last-exit-time (LET), few studies related to ADT have been investigated. In this paper, we focus on designing an optimum test condition setting and sample allocation scheme for ADTs under the LET failure mode. In particular, the widely adopted Wiener process model and the generalized exponential acceleration model are used to describe the fluctuating degradation behaviors of products. By minimizing the asymptotic variance of mean-time-to-failure under the normal use condition, we design a two-level optimum test plan and a three-level compromise plan under the constraints of total sample size and stress region. The optimum plans are given in analytical forms, and we prove that the optimum plans under the FPT failure mode and LET failure mode are equivalent under some situations. Finally, a renewed selection method for the upper limit of the stress level in ADTs is proposed based on the prior ADT information from the perspective of accelerated mechanism equivalence. The proposed method is illustrated using a real-world application to rubber rings.KEYWORDS: Accelerated degradation testoptimization schemefirst-passage-timelast-exit-timedegradation mechanism equivalence AcknowledgementsThe authors are grateful to the editor, associate editor, and anonymous referees for many insightful suggestions that significantly improved the quality of this article.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by the Ammunition & Missile Support Techniques Laboratory [2022SYSJ02]; Reliability and Environmental Engineering Science & Technology Laboratory [6142004210105].Notes on contributorsJunchao DongJunchao Dong is currently a PhD student with the School of Reliability of Systems Engineering, Beihang University, China. He received the BE degree from Beihang University in 2014. His research interests include accelerated life tests and reliability assessment.Xiaobing MaXiaobing Ma received a PhD degree in engineering mechanics from Beihang University, Beijing, China, in 2006. He is currently a professor with the School of Reliability and Systems Engineering, Beihang University. His current research interests include reliability data analysis, durability design, and system life modeling.Han WangHan Wang received a PhD degree in systems engineering from Beihang University, Beijing, China, in 2020. He is currently an associate professor with the School of Reliability and Systems Engineering, Beihang University. His research interests include accelerated tests, stochastic degradation modeling, and remaining useful life prediction.Yujie LiuYujie Liu is currently a PhD student with the School of Reliability of Systems Engineering, Beihang
摘要加速降解试验(ADTs)被广泛应用于产品的失效,其失效定义为降解路径超过给定阈值时的首次通过时间(FPT)。然而,对于失效定义为最后退出时间(LET)的产品,很少有与ADT相关的研究。本文重点研究了LET失效模式下adt的最佳测试条件设置和样本分配方案。特别是采用了广泛采用的维纳过程模型和广义指数加速模型来描述产品的波动降解行为。通过最小化正常使用条件下平均失效时间的渐近方差,设计了总样本量和应力区域约束下的两级优化试验方案和三级妥协方案。以解析形式给出了最优方案,并证明了FPT失效模式下的最优方案与LET失效模式下的最优方案在某些情况下是等价的。最后,从加速机制等效的角度出发,基于ADT先验信息,提出了一种新的ADT应力水平上限选择方法。该方法是用实际应用的橡胶环说明。关键词:加速退化测试优化方案first-pass -timelast-exit-timedegradation mechanism等效致谢作者感谢编辑、副编辑和匿名审稿人提出的许多有见地的建议,这些建议大大提高了本文的质量。披露声明作者未报告潜在的利益冲突。这项工作由弹药和导弹支援技术实验室[2022SYSJ02]支持;可靠性与环境工程科学技术实验室[6142004210105]。作者简介董俊超,现任北京航空航天大学系统工程可靠性学院博士研究生。2014年获北京航空航天大学工学学士学位。主要研究方向为加速寿命试验和可靠性评估。马晓兵,2006年毕业于中国北京航空航天大学,获工程力学博士学位。现任北京航空航天大学可靠性与系统工程学院教授。他目前的研究兴趣包括可靠性数据分析、耐久性设计和系统寿命建模。王涵,2020年毕业于中国北京航空航天大学,获系统工程博士学位。现任北京航空航天大学可靠性与系统工程学院副教授。他的研究兴趣包括加速试验、随机退化建模和剩余使用寿命预测。刘玉杰,现任北京航空航天大学系统工程可靠性学院博士研究生。2021年获北京航空航天大学工学学士学位。主要研究方向为加速寿命试验和可靠性评估。赵宇,2005年毕业于中国北京航空航天大学,获系统工程博士学位。现任北京航空航天大学可靠性与系统工程学院教授,可靠性与环境工程技术重点实验室副主任。他目前的研究兴趣包括可靠性工程、质量管理和统计技术的应用。
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Quality Technology and Quantitative Management
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