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91.
通过休哈特控制图中的单值控制图、均值控制图和极差控制图与累积和控制图（CUSUM图）进行比较分析,虽然CUSUM图对过程发生的小偏移较灵敏,但在某些情况下休哈特图比CUSUM图能更快地对生产过程异常作出报警.在此研究的基础上,提出了联合应用累积和控制图与休哈特控制图的观点,以尽快发现生产过程的异常波动. 相似文献
92.
Sabine Mercier 《Quality and Reliability Engineering International》2020,36(7):2379-2397
The Lindley process defined for the queuing file domain is equivalent to the cumulative sum (CUSUM) process used for break-point detection in process control. The maximum of the Lindley process, called local score, is used to highlight atypical regions in biological sequences, and its distribution has been established by different manners. I propose here to use the local score and also a partial maximum of the Lindley process over the immediate past to create control charts. Stopping time corresponds to the first time where the statistic achieves a statistical significance less than a given threshold α in ]0,1[, the instantaneous first error rate. The local score p value is computed using existing theoretical results. I establish here the exact distribution of the partial maximum of the Lindley process. Performance of the control charts is evaluated by Monte Carlo estimation of the average run lengths for an in-control process (ARL0) and for an out-of-control process (ARL1). I also use the standard deviation of the run length (SdRL) and the extra quadratic loss (EQL). Comparison with the usual and recent control charts present in the literature shows that the local score control chart outperforms the others with a much larger ARL0 and ARL1 smaller or of the same order. Many interesting openings exist for the local score chart: not only Gaussian model but also any of them, Markovian dependance of the data, both location and dispersion monitoring at the same time can be considered. 相似文献
93.
《Quality and Reliability Engineering International》2018,34(6):1158-1173
Two‐parameter (shifted) exponential distribution is widely applied in many areas such as reliability modeling and analysis where time to failure is protected by a guaranty period that induces an origin parameter in the exponential model. Despite a large volume of works on inferential aspects of two‐parameter exponential distribution, only few studies are done from the perspective of process monitoring. In the modern production process, where items come with a warranty, we often encounter shifted‐exponential time between events from consumers' perspective, and therefore, in this paper, we propose two CUSUM schemes for joint monitoring of the origin and scale parameters based on the Maximum Likelihood estimators. We study the in‐control behavior of the proposed procedures via Markov chain approach as well as applying Monte Carlo. We provide detailed implementation strategies of the two schemes along with the follow‐up procedures to identify the source of shifts when an out‐of‐control signal is obtained. We examine the performance properties of CUSUM schemes and find that the two proposed schemes offer performance advantages over the Shewhart‐type schemes especially for monitoring small to moderate shifts. Further, we provide some guidance for choosing the appropriate schemes and study the effect of reference parameter k of the CUSUM schemes. We also investigate the optimal design of reference values both in known and unknown shift cases. Finally, two examples are given to illustrate the implementation of the proposed approach. 相似文献
94.
质量管理中广泛使用的休哈特控制图，对异常原因引起的均值大的偏移比较有效，但对于小的持续的偏移却不敏感；累积和控制图对小的持续性偏移有效。但对瞬间偏移不敏感。在过程质量的监控中，同时采用这两种控制图来进行监控，包容了两种控制图的优点，弥补了彼此的不足。在一定条件下，提出了一种新的控制图——累积和和休哈特混合控制图，效果明显优于累积和控制图或休哈特控制图。 相似文献
95.
累积和控制图监控过程均值偏移的应用较多,而用于监控过程变差较少。在机械零、部件的大批量、高精度生产过程中,需要同时监控过程均值和变差。在介绍三种主要的监控变差的CUSUM控制图方法基础上,结合案例给予比较,并指出各自的不足之处。 相似文献
96.
累积和（ＣＵＳＵＭ）方法是一项成熟、先进的过程质量控制技术,并在发达国家腹到了成功应用。但在我国的应用近乎空白。对二项变量累积和控制图及计算平均链长（ＡＲＬ）的马尔可夫链方法作了简单介绍,计算了ＣＵＳＵＭ图和ｐｎ图的平均链长,在此基础上对两种方法进行比较,表明ＣＵＳＵＭ〈方法的ＡＲＬ性能优于ｐｎ图,并通过具体实例,进一步论证了ＣＵＳＵＭ图在实际应用方面优于ｐｎ图。认为在国内企业的质量管理中,应积极 相似文献
97.
98.
The multivariate profile (MP) chart is a new control chart for simultaneous display of univariate and multivariate statistics. It is designed to analyze and display extended structures of statistical process control data for various cases of grouping, reference distribution, and use of nominal specifications. For each group of observations, the scaled deviations from reference values are portrayed together as a modified profile plot symbol. The vertical location of the symbol is determined by the multivariate distance of the vector of means from the reference values. The graphical display in the MP chart enjoys improved visual characteristics as compared with previously suggested methods. Moreover, the perceptual tasks required by the use of the MP chart provide higher accuracy in retrieving the quantitative information. This graphical display is used to display other combined univariate and multivariate statistics, such as measures of dispersion, principal components, and cumulative sums 相似文献
99.
100.
晶圆减薄工艺是伴随芯片堆叠技术的发展而出现的新制造过程,其制造质量直接关系最终产品成品率。文章以堆叠芯片晶圆减薄工艺质量参数为研究对象,拟建立监控晶圆减薄工艺质量的完整方法。首先,以该道生产工序质量参数序列建立自回归滑动平均模型,用于表达该道生产工序的质量特征变化。然后,在此模型的基础上,使用多尺度估计理论对该模型进行滤波分解处理,获得质量参数时间序列的高频信号,提取该道质量变异的方差变化。最终,使用统计学上的累积和控制图对质量变异信号进行诊断分析,根据工序方差变化的起始位置,提前发现系统可能存在的质量变坏趋势。经试验数据验证,相比传统的检验方法,该方法有95%的概率可以提前预测产品质量发生变化。 相似文献