多品种多批次冲压工序质量控制的研究

单件小批生产方式条件下的工序质量控制问题，一直是生产过程质量控制的难点。如何在现有的统计质量控制方法基础上，结合单件少批生产方式的特点，系统地提出适用于此种生产组织方式的工序技师质量控制方法，是一种有益的尝试。本文以某企业冲压件（多种产品）的工序质量控制为例，对原始数据进行了转换处理，使多品种产品数据得以在统一口径下进行运算、处理。实践证明本文提出的方法符合冲压工序运行的实际，有较强的实用性。     

主成份的工序能力指数

本文应用主成分析的基本方法，结合单质量特性的工序能力指数，给出了多质量特性的主成份的工序能力指数。     

油田井下作业质量的工序等级排序控制管理

孙联中.油田井下作业质量的工序等级排序控制管理本文对油田作业施工中的质量后果进行分析,建立排序模型,排序后建立与危害相关的工序等级排序进行控制管理,提高质量控制效果.     

多工序制造过程加工误差的传播分析和控制

多工序制造过程在加工产品质量特征时出现的加工误差存在相互影响,因此为了保障产品的加工质量,定义了误差自修正能力指数来评价多工序制造过程对产品质量特征加工误差的补偿能力,并提出一种偏最小二乘回归方法应用于确定最后一道工序的加工误差与上游工序加工误差之间的关系,从而采取相应的调整措施来减少误差、保证最终的加工质量.     

质量工程试验的数据分析(上)

引言 本文介绍质量工程试验中的数据分析方法.所谓质量工程试验是为优化生产工序而进行的试验;这里,只讨论有确定目标值的.我们提出了一整套数据分析方法,它分为三个阶段:探索阶段,模型化阶段,优化阶段.在这三个阶段,我们都强调用图示法来指导分析及对结果作出解释.我们讨论了数据变换以及变换后数据的分析与田口的信噪比分析的关系.我们的介绍将按使用者易于接受的方式进行,并通过一个实例来解释. 结构数据方法 试验设计方法传统上总是致力于找出影响生产工序水平的因子.这里,我们还需要来找出影响生产工序变异性的因子.这在日本,特别是田…     

六西格玛在F半导体公司BGA产品质量改进的应用

BGA(Ball Grid Array球栅阵列封装)是一项被广泛应用的高密度封装技术。对BGA产品制造来说,过程中的最容易出现次品的环节是植球工序。本文采用六西格玛管理的DMAIC流程,通过控制胶量厚度和植球偏移量这两点对提高植球成功率最有影响的因素,对影响BGA产品制造过程中植球工序的设备能力进行了改进,取得良好的效果。     

钢球质量监测最佳抽检方案的确定

本文介绍概率抽样法在钢球生产过程中的应用,通过此法确定钢球生产中各工序质量监测的最佳抽检方案,以确保产品被接受的概率最大。     

产品质量变异与工序能力分析

王建稳．产品质量变异与工序能力分析．本文通过建立模型分析产品质量的三种变异，即：产品内变异、产品间变异和时间变异与总变异之间的关系，给出相应方差的估计，从而确定合理的抽样方案，并进行工序能力分析，最后给出实例分析     

用Bayes方法修正质量控制界限

在工序质量控制中,画控制图的传统作法是用样本均值近似代替总体的均值.由于样本的随机性,因此,估计误差在所难免.本文用Bayes方法将用样本均值     

基于改进Adaptive Lasso的多工序制造过程关键质量特性识别

为解决多工序制造过程关键质量特性识别中存在的质量特性间具有多重相关性以及数据高维度, 小样本等问题,本文采用主成分回归改进Adaptive Lasso方法并融合状态空间思想和Bootstrap方法实现多工序过程关键质量特性识别。首先引入状态空间思想构建多工序过程关键质量特性识别模型,然后利用Bootstrap方法重构样本,扩大样本量;进而采用改进Adaptive Lasso方法识别关键质量特性,并通过仿真验证改进Adaptive Lasso方法与Lasso,Adaptive Lasso和岭回归方法在质量特性间不同相关度下识别的有效性;最后通过实例说明改进Adaptive Lasso的具体应用过程,仿真及实例结果显示,改进Adaptive Lasso方法对多工序过程有良好的关键质量特性识别能力,特别当质量特性间有较强相关性时显著优于其它两种方法。     

Analysis of cross classified data by AIC

Summary The purpose of the present paper is to propose a simple but practically useful procedure for the analysis of multidimensional contingency tables of survey data. By the procedure we can determine the predictor on which a specific variable has the strongest dependence and also the optimal combination of predictors. The procedure is very simply realized by the search for the minimum of the statistic AIC within a set of models proposed in this paper. The practical utility of the procedure is demonstrated by the results of some successful applications to the analysis of the survey data of the Japanese national character. The difference between the present procedure and the conventional test procedure is briefly discussed. The Institute of Statistical Mathematics     

Experiments with an interactive procedure for MOLP given weak orders on variables and objectives

In this paper we describe computational experiments with an interactive procedure for solving a multiobjective linear-programming model. The point of departure for this paper is the work described in Gass and Dror [4] and Dror and Gass [1] in which an interactive solution procedure is outlined. Here we describe improvements in the original procedure, as well as computational experiments, and demonstrate the procedure's ability to explore successfully the solution space of a multiobjective problem.     

Termination of the iterative proportional fitting procedure

The iterative proportional fitting procedure (IPF procedure) alternately fits a given nonnegative matrix to given positive row marginals and given positive column marginals. This paper proves that if the IPF procedure terminates, then this has to be within the first two steps.     

发动机凸轮升程曲线拟合的处理方案

本文对汽车发动机进排气凸轮升程值提出了一种混合计算方案,得到了较满意的结果,满足了产品的设计要求。     

Two crucial examples related to properness of weakly relaxed delayed controls

In this paper, we deal with the problem of finding a proper relaxation procedure (in the sense that relaxed minimizers can be approximated with ordinary controls) for optimal control problems involving delays in the control variables. For systems involving commensurate delays it is well known that a ‘strong’ model provides a proper relaxation procedure. For the noncommensurate case, however, the question of how to properly relax delayed controls has remained open and a natural candidate has been a modified version of the strong model, which we call the ‘weak’ procedure, first introduced by Warga. In this paper, we show by means of two examples that this procedure may fail to be proper for systems with either commensurate or noncommensurate delays. It is expected that these examples will provide some insight into the problem of finding a proper relaxation procedure applicable to the general case.     

分组测试与迫进控制标准

1引言 在第二次世界大战期间,珍珠港事件发生后,美国为了反击德国法西斯挑起的侵略战争,多次进行大规模的征兵活动．在征兵活动中,需要对大量报名入伍者进行健康检查,看其身体是否符合入伍的条件．其中一项健康检查的内容是血液抗体检测,通过血液抗体检测,查出梅毒的携带者．当时,由于被检测者数量巨大,部队又急需补充兵员,检测时间紧、任务重,这就需要找到一种科学的检测方法,用尽可能少的测试次数检测出所有病毒携带者,这一问题后来称为搜索坏硬币的最优化问题．在这个问题中,被检测者抽象为硬币,血液不带病毒者抽象为标准硬币,血液带病毒者抽象为伪硬币,检测的设备称为装置．如何用特定性能的若干台装置,以尽可能少的测试次数从由硬币组成的集合中检测出全部伪硬币,是一个有很强实际背景的最优化问题,正因为如此,近一段时间组合搜索中的伪硬币问题一直受到人们的广泛关注．     

The use of resampling for estimating control chart limits

This paper proposes a resampling procedure for estimating the control limits of any statistical control chart which is based on a statistic calculated from a random sample of data. This includes charts for the mean, range, standard deviation, median, proportion defective, number defective and so on. This procedure has advantages over conventional methods in its conceptual simplicity and transparency, flexibility, generality and robustness. The paper describes the operation of a simple program (available from the internet) for carrying out the resampling procedure.     

Some computational results of using the Ahrens—Finke method for handling degeneracy in fixed charge transportation problems

In a recent paper, Ahrens and Finke present a procedure for resolving degeneracy in the fixed cost transportation problem by perturbing the supplies and demands. This paper presents computational results of using that procedure in both vertex ranking and branch-and-bound algorithms for the fixed charge transportation problems as compared to using previously available methods for resolving degeneracy in those algorithms.     

Uniformly third-order accurate TVNE interpolations

In this paper, we develop an approximation procedure for functionsof bounded variations. Our procedure cannot increase the variationof the function being approximated, and also avoids discontinuityof the interpolation function.     

Application of the Armijo stepsize rule to the solution of a nonlinear system of equalities and inequalities

In this paper, we present an application of the Armijo procedure to an algorithm for solving a nonlinear system of equalities and inequalities. The stepsize procedure contained in a quadratically convergent algorithm is replaced by an Armijo procedure on a nondifferentiable function, without any substantial extra computational work and without losing the quadratic rate of convergence. The use of the Armijo procedure on a nondifferentiable function opens the possibility of using it on nondifferentiable and minimax functions.