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.     

对工序质量控制图最优设计方案的再认识

本文以现代质量观重新分析传统控制图。从而对６σ控制图的经济性提出质疑。在博采休哈特学派与田口学派之从长的基础上，企图引入质量损失函数，探讨工序质量最优控制界限的模型，并给出求解的基本思路。     

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.     

从现代的质量观论田口的工序控制

休哈特(W.Shewhart)首先倡导统计方法用于质量控制,他的6σ控制图在工业界尽人皆知,并起到了提高人类生活与生产水平的伟大作用.他写的论文《一件事情什么时候必须由机会来决定》(When must a　thing be left to Chance,1929,Bell　Lab.)。用于指导产品和服务的质量管理,意义深运;以后更被戴明(E.Deming,1982)在他的《质量,生产力与竞争地位》一书中发挥得淋漓尽致.6σ控制图可以说是这篇不朽之作的具体化;是人类智慧的结晶,因此我相信它今后仍有长久的生命力. 1.控制图经济设计的产生 但随着人们的质量观的转变,休哈特控制图受到了时代…     

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。     

用最少的虚工序构建等效多阶段工序网络

运用网络计划可以直观地表示项目管理中的诸多疑难问题, 便于分析和求解. 但是它也存在明显的缺点, 如, (1) 工序网络的有向无回路性表明很多时候适合运用动态规划法, 但它在通常情况下的无阶段性使得该方法无法直接应用; (2) 任意构建的工序网络容易表现得错综复杂, 不利于研究; (3) 用最少的虚工序表示双代号网络是NP-难问题, 因此对一个工序系统可能构建出多个差别迥异的工序网络, 有碍于进度计划管理研究, 等等. 如果能将工序网络构建成等效的多阶段网络, 各工序分别表示在相应的阶段中, 无疑有助于上述问题的解决. 构建等效多阶段工序网络需要添加虚工序. 通过添加最少的虚工序将工序网络构建成等效多阶段网络, 从而有助于建立更合理的工序网络表示法.     

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。     

邮电通信工序能力指数的计算方法

本根据邮电通信质量指标的特点，利用控制图的特征值，提出邮电通信工序能力指数的近似计算方法。     

Optimization of multiweighing packing proceedings

In this paper we study the variability reduction gain that results from the use of multiweighing proceedings in packing processes with the objective of sales at constant nominal weights. According to this, we have proposed a packing algorithm that includes the formation of units with variable number of pieces and we have obtained the value of the percentage variability reduction index. Collaborator in the Catalan Institute of Tecnology (ICT).     

The relationship between quality management practices and their effects on quality outcomes

Recent research into quality management has examined the relationship between quality management and performance. The purpose of this study is to identify the relationships between quality management practices, and to examine the direct and indirect effects of these practices on quality outcomes by means of replication research. The paper uses a path analysis and a research model is tested using cross-section data collected from 106 certified firms in Spain. The findings support the relationships between quality management practices and the positive impact of these practices on quality outcomes. Evidence is also found confirming previous research showing that a firm could transfer the organizational forms and behaviours underlying quality management to other countries with similar cultures. However, as minor differences emerge, managers should consider the cultural issues. The contribution of the paper is that it provides empirical support for direct and indirect effects of quality management on performance in Spain compared to previous studies carried out in USA and Korea.     

A generalized geometric-programming solution to “An economic production quantity model with flexibility and reliability considerations”

The classical economic production quantity (EPQ) model assumes that items are produced by a perfectly reliable production process with a fixed set-up cost. While the reliability of the production process cannot be perfected cost-free, the set-up cost can be reduced by investment in flexibility improvement. In this paper, we propose an EPQ model with a flexible and imperfect production process. We formulate this inventory decision problem using geometric programming (GP), establish more general results using the arithmetic-geometric mean inequality, and solve the problem to obtain a closed-form optimal solution. Following the theoretical treatment, we provide a numerical example to demonstrate that GP has potential as a valuable analytical tool for studying a certain class of inventory control problems. Finally we discuss some aspects of sensitivity analysis of the optimal solution based on the GP approach.     

DMAIC流程在自动焊接质量改进中的应用

本文按照六西格玛DMIAC流程对A企业自动焊接质量进行改进.按照DMAIC流程对问题进行定义,明确改进目标。然后测定导致自动焊质量问题的可能原因,并对相关测量系统的能力进行评定和改进.在此基础上进一步分析导致质量问题的根本原因,并设计了一个2~((-2))试验方案,找出影响焊接缺陷的显著因素并进行优化,使得自动焊过程的缺陷水平降为DPHU低于0.05,超过了预期目标,成本节省显著。最后,为了保持改进成果,对过程建立了适当的在控制方法.     

模糊用户需求约束下再使用产品质量改进设计

大多数停用的产品需要按照用户需求进行质量改进后再使用,针对用户对用户属性的要求改进率具有一定的模糊性的问题,应用模糊理论和质量功能配置的方法,以质量改进成本最低为目标建立了质量改进设计的模糊数学规划模型,模糊优化结果即兼顾了用户需求改进约束的满足程度,又考虑了质量改进成本最小,水泵再使用案例表明该方法能帮助质量改进人员规划出模糊用户需求约束下质量改进成本较低的设计方案.     

考虑质量偏好的两阶段服务供应链质量控制策略

研究了一个集成商和一个提供商所组成的服务供应链的质量控制问题。考虑集成商的质量缺陷承诺和提供商的质量偏好,并将提供商的质量活动区分为质量改进和质量保持两个阶段,分别建立了服务供应链成员的效用函数,同时考虑服务供应链成员的竞争与合作,运用博弈理论,优化得到单阶段与两阶段时,集成商的最优服务价格和质量缺陷承诺,以及提供商的最优服务质量改进程度。最后,通过对比分析及数值仿真发现,考虑两阶段质量控制较单阶段情形,更有利于服务供应链较长期限内获得更多效用。其次,服务提供商质量偏好对服务供应链单阶段与两阶段下的最优效用和质量控制策略均产生一定影响。     

浅析统计技术在质量管理体系中的应用

统计技术作为发现问题、分析问题、解决问题并促进质量管理体系持续改进的一种有效手段,其作用日益显著。本文仅结合实际工作,就统计技术在质量管理体系中的应用谈几点自己的认识和体会。     

基于非对称损失的过程均值设计研究

在损失非对称的情况下，使工序加工出的产品均值等于目标值，并不会使期望损失最小，优化过程均值，使其接近目标值，尤为重要。本研究了三种典型的非对称损失的过程均值设计问题，探讨了非对称比率与质量损失率之间的关系，提出了有效偏移的概念，给出了具体的调整措施，最后给出一个实例。     

Shortening cycle times in multi-product,capacitated production environments through quality level improvements and setup reduction

This paper addresses the issue of investing in reduced setup times and defect rates for a manufacturer of several products operating in a JIT environment. Production cycle times can be shortened by investing in setup time and defect rate reductions, respectively. The objective is to determine optimal levels of setup time and defect rate reductions along with the corresponding optimal levels of investments respectively, and the optimal production cycle time for each product. The problem is constrained by demand requirements, process improvement budget limitations, and manufacturing and warehousing capacity constraints. We consider the cases of product-specific quality improvements and joint-product quality improvements. A general nonlinear optimization models of these problems are formulated. A convex geometric programming approximation of these models is developed respectively, in order to solve them. The approximation can be made to any desired degree of accuracy. Our empirical findings provide insights into a number of managerial issues surrounding investment decisions in product-specific quality improvements and setup reductions due to a product redesign as well as in joint-product improvements due to a process redesign.