对过程能力指数计算公式的再认识

对过程能力的评价，一直使用过程能力指数来衡量，即，用过程能力指数的高低来评价过程满足产品质量的能力。因此过程能力指数的计算就成了评价和衡量过程能力的重要环节，甚至成为唯一的尺度。然而，程能力指数的计算公式却存在明显的不足，这种不足不但对使用者造成误导，而且直接导致对过程能力评价的失准。     

过程性能指数在现场过程能力评价中的应用探讨

我们知道对过程能力的评价．一般的都是根据过程能力指数的高低来评价．过程能力指数高．表明其满足产品质量的能力高．过程能力指数低．其满足产品质量的能力就低。但是这里的过程能力指数的求得．必须是存过程处于稳态条件下取得的．也就是说必须是该过程存稳态条件下计算的过程能力指数．并用其来评价该过程才有效。     

过程能力指数C_p、C_(pk)与过程性能指数P_p、P_(pk)

过程能力指数是一种广泛应用的产品质量评价工具。不同过程能力指数都有合理一面,但也都有不足之处,选用不当会产生误导。文章研究了过程能力指数C p、Cpk与过程性能指数Pp、Ppk的差别及原因,并分别给出其与不合格率的关系和相应的估计和置信区间。     

基于“集成过程”的企业知识集成能力评价研究

分析企业知识集成是一个由知识的吸收、交流、系统化到创新的过程,基于"过程"研究企业知识集成能力的结构,构建了基于"集成过程"的企业知识集成能力评价体系,运用模糊综合评价方法建立基于"集成过程"的企业知识集成能力评价模型。     

正确地认识和使用过程能力指数Cp和Cpk

质量工作者对过程能力指数Cp和Cpk（Indexof Process Capability）一定不会陌生。它是评价过程基线及改进方向和目标的重要工具。尤其是Cpk的应用更为广泛，几乎成为日常质量工作重点关注参数，同时也是组织对供方产品评价的一个必不可少的指标。另外，在六西格玛改善项目中，过程能力分析也十分重要，是评价过程能力满足预期要求的重要方法。     

产品过程能力分析与提高

提高产品质量的关键是提高产品加工过程能力。本文重点论述了过程能力的分析方法、过程能力的影响因素和提高过程能力的主要措施。     

过程能力指数4个基本特性

根据过程能力指数Cp定义发现了过程能力指数的4个基本特性,即：过程能力指数的对半特性、可计量特性、零判据和基准。这4个特性为研究各种情况下过程能力指数公式提供了理论依据。     

企业债务形成过程与偿债能力的财务分析

偿债能力是企业财务能力的一项重要指标,做好偿债能力评价对企业的财务管理及债权人都有十分重要的意义.本文对企业债务形成过程与偿债能力的财务分析进行了阐述.     

解读过程能力指数4个基本特性

文章对已发表的过程能力指数4个基本特性的来龙去脉作了详尽的解读,纠正了在过程能力指数理论方面存在的诸多错误认识和观点,对于读者在过程能力指数理论基础上进一步研究探讨多变量过程能力指数具有重要的参考价值。     

有关过程能力指数基准的若干问题

基准是过程能力指数的一个重要属性，对有关过程能力指数基准的若干问题作出详尽阐述，可为进一步纠正过程能力指数公式错误（诸如Cpk、CpU、CpL等）提供了理论基础。     

Process Capability Evaluation for the Process of Product Families

Process capability analysis is a highly effective means of assessing the process ability of manufacturing product that meets specifications. A larger process capability index (PCI) implies a higher process yield, and lower expected process loss. Many PCIs have been effectively and widely used to determine whether the quality of a process meets preset targets. However, those existing PCI cannot be applied to evaluate the process capability of a process producing a product family. This work presents a novel PCI (C _pm ^T ) which takes into account all family members and obtains the probability density function for the PCI for a product family. The relationship between the PCI and process yield is described. An example is provided to demonstrate the methodology for practical application.     

Graphical Analysis of Capability of a Process Producing a Product Family

Statistical techniques are effective and powerful means of quantifying the variability of processes, analyzing this variability with reference to product requirements, and eliminating this variability in product manufacturing. Many process capability indices have been effectively and widely used to determine whether the quality of a process meets preset targets. However, conventional process capability indices cannot be applied to assess the entire process capability of a product family with nominal-the-best specifications. This work presents a novel process capability index (C_pp^T), which takes into account all family members. The index C_pp is a simple transformation from index C_pm, and C_pp^T provides additional, individual information concerning the accuracy and precision of a process. Vännman’s (δ, γ)-plot [Vännman and Deleryd, Quality and Reliability Engineering International 15(3): 213–217 (1999)] is revised to compare the process capabilities of family members under both 100% inspection and sampling plans. Examples are provided to demonstrate the method’s practical application.     

工序能力指数两个体系的比较研究

在工序能力指数的新定义与传统定义中，分别给出了两个不同的体系。在工序能力指数的新体系中，不仅纠正了传统定义中的偏移系数的不合理性，而且指出工序能力指数新定义的依据是标准化原理。此外，新定义的工序能力指数与六西格玛管理中的西格玛水平在功能上是相同的。     

Estimating and Testing Process Precision with Presence of Gauge Measurement Errors

Process capability indices have been widely used in the manufacturing industry. Those capability indices, quantifying process potential and performance, are important for any successful quality improvement activities and quality program implementation. Because of the simplicity and easy of understanding, the precision index C_p has gained its popularity for measuring process consistency. However, the quality of data on the process characteristics relies very much on the gauge measurement. Conclusions about capability of the process just only based on the single numerical value of the index are not reliable. In this paper, we not only conduct the performance of the index C_p with gauge measurement errors, but also present adjusted confidence interval bounds and critical values for capability testing purpose of C_p with unavoidable measurement errors. Our research would help practitioners to determine whether the factory processes meet the capability requirement, and make more reliable decisions.     

有关Cpk公式的12个错误观点剖析

在发现过程能力指数4个基本特性并提出对称公差过程能力指数修正公式Cpk基础上，文章对质量界广为流行的有关Cpk的12个典型错误观点进行了剖析。     

Yield measure for the process with multiple streams

Process capability indices, such as C _pk , have been widely used in the manufacturing industry to provide common quantitative measures for process performance. The index C _pk only provides an approximate rather than an exact measure of the process yield. To obtain an exact measure of the process yield, Boyles proposed a yield index S _pk . Capability measures for processes with single stream have been investigated extensively; however, multiple streams processes often occur in practice. Bothe presented a capability index for multiple streams process. In the present paper, a new index that is able to provide an exact measure of yield for a multiple streams process is developed. Three examples are given for illustration. From the results of the yield measure in the three examples, the conventional approach, using the arithmetic average of the estimated yield indices of all streams, will certainly over-estimate the process yield.