基于精益六西格玛的供应链质量管理研究

本文分别介绍了精益生产及六西格玛的概念,引出精益六西格玛的理论,接着构建了企业基于精益六西格玛的质量管理运作体系,最后就企业如何实施精益六西格玛及应注意的问题进行系统分析,为企业实施精益六西格玛提供指导及建议。     

精益六西格玛的医院管理改进实证研究

针对我国医院管理现状,在精益六西格玛实施的一般模型的基础上,提出了基于精益六西格玛的医院流程改进PDAIP实施模型,该模型,对医院的流程进行改进。并将PDAIP模型应用于某医院门诊流程的改进,通过顾客满意度调查、流程分析、价值流分析、因果图、假设检验等方法进行了验证,结果显示项目取得了较好的改进效果,对提高医院管理水平提供了一定的参考价值。     

整合精益六西格玛的实施

很多正在实施六西格玛的公司,近年受到精益管理的影响,很多公司同时开始实施精益和六西格玛,而且除了六西格玛,其他一些工具和方法,如六西格玛设计,质量功能展开都加上了了精益二字,如精益六西格玛设计,精益质量功能展开.……     

精益生产与六西格玛管理的对比与整合

介绍了精益生产和六西格玛管理的本质和特点,从文化、战略、运作模式、过程改进方式、员工培训、关注对象等多方面对两种管理模式进行了对比,分析了它们的相同点和不同点,指出了它们的优缺点,揭示了两种模式整合的必要性和可行性,提出精益生产与六西格玛管理整合时在组织结构、工具运用和实施流程等方面的要点,提出DMAICⅡ的实施流程,列出了不同阶段需要运用的主要工具,为实践提供了理论上的指导和可行的方案.     

基于精益六西格玛的公共服务质量标准化研究

结合我国公共管理发展现状,将精益六西格玛应用于公共管理工作当中,分析了实施精益六西格玛管理的具体流程。以A市民政部门为例,选取了服务质量为关键质量特性,建立了基于DMAIC模式的服务工作改进模型,通过数据收集、梳理、测量,寻找服务过程中的缺陷并进行改进,进而提高服务质量,为制定标准化服务体系提供参考。     

精益六西格玛理论研究与应用综述

精益六西格玛(Lean Six Sigma, LSS)作为持续改进与创新的有力工具,在业界(制造业、建筑业、服务业甚至非盈利性组织)得到广泛的应用,但学术界和产业界对LSS的认识和理解仍存在一些差异。为了构建对LSS更为全面的认识,基于Web of Science 数据库中题目含有“六西格玛”或“精益六西格玛”的2701篇文献分析,简要回顾LSS的起源,系统梳理LSS在理论研究和产业界应用的现状,给出6个主要的研究内容。结合LSS在中国的应用实践,并从战略、系统和集成3个角度展望LSS的未来发展趋势,期望对精益六西格玛的学术研究和产业应用提供指导和参考。     

体系标准与西格玛管理在质量管理中的结合

本文围绕全面质量管理的思路,阐述了ISO 9000体系标准和精益六西格玛管理在全面质量管理中的作用,强调ISO 9000标准是全面质量管理的基础和发展,精益六西格玛管理是全面质量管理的继承和创新。     

产品全寿命周期开发的六西格玛解决方案

开发了产品全寿命周期开发和设计的六西格玛解决方案LCSS路线图,改进和发展了新产品设计DFSS的IDDOV流程,提出了由顾客需求分析、系统设计、DFX、可靠性设计、稳定性优化设计和设计验证技术等六个模块组成的DFSS工具箱;把可靠性工程、软件工程、精益思想和标杆管理等与六西格玛相结合,从全寿命周期角度保证质量,设计出大批量生产局部更改设计的DMADOV流程、小批量产品改进的DATIC流程、局部更改设计的DATDOV流程和精益研发等模块.来自六个大型企业(包括电子、电气、机械、通讯、石油化工行业)的工程实践表明该方案的可行性.     

基于精益六西格玛的退遮蔽处理质量改善研究

以某品牌手机铝合金外壳为研究对象,以退遮蔽处理的质量缺陷为切入点,基于精益六西格玛的理念、工具和方法,通过因果矩阵分析、失效模式与影响分析,按定义、测量、分析、改进和控制5个阶段(简称DMAIC),对各影响因子进行调整、优化与管控,实现了铝合金手机外壳油墨去除良率的提升。     

全面精益管理概念的界定

对精益管理理论做长期研究后对早期提出的"全面精益管理"的概念及其涉及的范围做出进一步的论述.采用推理的手法引证了"全面精益管理"概念的提出是对精益管理理论应用研究的新趋势和创新诉求的体现;界定"全面精益管理"的概念时强调精益思想的本源是剔出浪费和精益哲学在管理实践中的系统性和准确性的新理念,在诠释"全面精益管理"的概念时从观念、观察视角、管理对象和理论基础等四个层次进行了较为全面的论述.最后,论述了全面精益管理的核心价值是要关注企业生存环境,强调企业确保永续经营的基础,提出了准确管理的新观点和消除浪费现象的新视角.     

6σ方法的选择与分析

6σ改进主要应用于现有的过程或产品, 而6σ设计主要应用于设计或重新设计过程或产品;何时优先采用6σ设计方法一直是一个备受争议的问题.为解决这一问题,比较了6σ改进和6σ设计方法的差异;进而从系统论的观点,分析了选择6σ方法时需要考虑的要素并建立了相应的指标体系;在此基础上,引入了多目标决策的层次分析方法,并对一个6σ项目进行了分析.结果表明,选择6σ方法受到许多因素的影响,从而替代了6σ文献中"只有达到4.8σ,才能实施6σ设计"的准则.结论是任何实施6σ管理的组织可以根据技术、顾客需求、成本、复杂性、风险等因素,选择适应于自身发展的6σ方法.     

Process improvement in healthcare: overall resource efficiency

This paper aims to develop a unifying and quantitative conceptual framework for healthcare processes from the viewpoint of process improvement. The work adapts standard models from operation management to the specifics of healthcare processes. We propose concepts for organizational modeling of healthcare processes, breaking down work into micro processes, tasks, and resources. In addition, we propose an axiological model which breaks down general performance goals into process metrics. The connexion between both types of models is made explicit as a system of metrics for process flow and resource efficiency. The conceptual models offer exemplars for practical support in process improvement efforts, suggesting to project leaders how to make a diagrammatic representation of a process, which data to gather, and how to analyze and diagnose a process's flow and resource utilization. The proposed methodology links on to process improvement methodologies such as business process reengineering, six sigma, lean thinking, theory of constraints, and total quality management. In these approaches, opportunities for process improvement are identified from a diagnosis of the process under study. By providing conceptual models and practical templates for process diagnosis, the framework relates many disconnected strands of research and application in process improvement in healthcare to the unifying pursuit of process improvement. Copyright © 2011 John Wiley & Sons, Ltd.     

Big data in lean six sigma: a review and further research directions

Manufacturing and service organisations improve their processes on a continuous basis to have better operational performance. They use lean six sigma (LSS) projects for process improvement. Therefore, this study aims to investigate the existing literature in LSS and the application of big data analytics (BDA) to have more confident and predictable decisions in each phase of LSS. Fifty-two articles have been identified after a careful and vigilant screening of closely related themes. Future research directions in the big data and LSS have been highlighted on the basis of organisational theories. Review presents an investigation framework consisting of BDA techniques applicable to each phase of LSS in all the dimensions such as volume, variety, velocity and veracity of big data. Review highlights the concerns of big data in LSS such as system design and integration, system performance, security and reliability of data, sustaining the control and conducting the experiments, distributed material and information flow. The review unveils the application of 8 modern organisational theories to big data in LSS with 21 key aspects of related theories and 19 distinct research gaps as opportunities for future research.     

基于精益六西格玛方法的K418C壳型小棒质量控制研究

目的 通过改善K418C壳型小棒的合格率,提高生产效率并降低生产成本。方法 通过精益六西格玛的方法、DMAIC II模型和D-M-A-I-C改进的5个阶段,利用因果图、方差分析等分析手段,结合扫描电镜和能谱分析等检测手段,准确定义出坩埚掉砂级别和壳型吸灰时长为两个影响产品质量的关键因素。结果 采用精益方法对这两个因素进行了优化和改善,工艺流程优化后的批量生产中,由于氧化物夹杂而导致报废的小棒根数大大降低,改善效果非常明显,其DPMO由改善前的53 034降低至10 355。结论 该方法的运用不仅有效提高了产品的合格率,而且节省了大量的材料费,提高了企业的竞争力。     

六西格玛在广州市规划局IT运维服务质量管理中的应用

论文总结了目前广州市规划局IT运维服务工作中存在的一些问题,介绍了使用六西格玛管理方法测量IT运维服务流程、发现服务流程缺陷、改善服务质量,指出六西格玛管理方法与IT服务管理密切结合是提高用户满意度的有效方法。     

Six sigma,absorptive capacity and organisational learning orientation

The importance of the six sigma methodology in industry is growing constantly. However, there are few empirical studies that analyse the advantages of this methodology and its positive effects on organisational performance. The purpose of this paper is to extend understanding of the success of six sigma quality management initiatives by investigating the effects of six sigma teamwork and process management on absorptive capacity. It also seeks to understand the relation between absorptive capacity and organisational learning as two sources of sustainable competitive advantage. The information used comes from a larger study, the data for which was collected from a random sample of 237 European firms. Of these 237 organisations, 58 are six sigma organisations. Structural equation modelling (SEM) was used to test the hypotheses. The main findings show that six sigma teamwork and process management positively affect the development of absorptive capacity. A positive and significant relationship is also observed between absorptive capacity and organisational learning orientation. The findings of this study justify six sigma implementation in firms. This study provides us with an in-depth understanding of some structural elements that characterise the six sigma methodology, enabling us to provide an explanation for its success.     

Downtime variability: the impact of duration–frequency on the performance of serial production systems

It is intuitively appealing to measure downtime in terms of total time lost (i.e. frequency times duration). However, the same total downtime can be produced by an infinite number of frequency/duration combinations. This study reports the findings of a computer simulation study on the impact of varying combinations of downtime frequency/duration pairs on performance of serial production systems. The research reported here clearly shows that different downtime frequency/duration combinations affect serial production lines differently even when the total downtime remains equal. Analysis suggests that long duration, infrequently occurring variation has a much more negative impact on system performance than short duration, frequently occurring variation.     

精益6σ在注塑机快速换模中的应用

阐述了快速换模在精益生产中的重要意义,简要列举了快速换模技术的原理与涉及到的相关术语,提出了运用精益6σ模式实现快速换模技术的一般模式,系统地总结了精益6σ在注塑包装生产中实现快速换模的具体步骤.