大型机场航站楼设计要义探究

随着中国民航业的高速发展,近十多年来国内建成了一批大型机场航站楼,它们各具特点,同时也有着很多共同的目标和追求。通过横向比较,本文尝试从航站楼基本构型设计、高效快捷的航站楼建筑主题、大型机场的枢纽功能、机场陆侧交通设计、航站楼商业开发和人性化服务设施、航站楼内外部空间设计等几个方面,对大型机场航站楼的设计要点进行一些概要的分析和归纳。     

六自由度测试系统

本文所描述的测试系统基于激光全息分光技术和激光干涉测长技术,同时测定目标物体六个自由度的偏差。采用激光漂移补偿技术建立了稳定的激光束基准,采用磁光调制技术减小光强不稳定等因素对滚转角测量精度的影响,实现了多自由度较高精度的准直。实验表明,在激光光源距靶标１ｍ时,该系统σ重复性误差：线位移小于４μｍ,角位移小于４″,整个系统结构简单,测量效率高。     

汽车制造企业实施6σ管理的组织结构体系研究

介绍了6σ管理法,并对汽车制造企业实施6σ管理法应该建立的组织结构体系进行了设计,有一定的前瞻性。     

On the evaluation of Six Sigma projects

Most of the research on the success in implementing Six Sigma agrees upon the fact that one of the key success factors is the selection of profitable projects. This seems to be especially important for high‐risk, large‐scope and long‐term projects, as is mostly the case in the design for Six Sigma projects. The purpose of this paper is to outline Six Sigma project characteristics and to present a new model for evaluating Six Sigma projects. To design a Six Sigma project evaluation model, we utilized mathematical optimization modeling techniques and real options theory. The model allows for the quantification of not only the project's value prior to its start but also its progress and the consideration of possible decisions based on this progress. Copyright © 2009 John Wiley & Sons, Ltd.     

Failure Investigation of a Furnace Tube Support

A furnace tube support failed after 6 months service at 850 °C. The support was an HK alloy, a member of the heat-resistant cast alloy family (H-Series) steels. The H-series steels are widely used in the petrochemical industry for components requiring enhanced high-temperature properties. Microstructural changes occurring at high temperature clearly affect the mechanical properties. The property degradation in HK-40 steel furnace tube support subjected to high temperature was caused by the formation of sigma phase. The investigation included metallurgical analysis, materials characterization, and mechanical analysis.     

Six Sigma in industry: some observations after twenty‐five years

Six Sigma has enjoyed considerable popularity in the industry for about a quarter of a century. While the standard contents of Six Sigma have been described and discussed widely, some little articulated aspects of Six Sigma implementation deserve the attention of serious practitioners. In this paper, a ‘5W+1H’ (What, Why, When Where, Who, How) format is used to elucidate the nature of Six Sigma in a non‐mathematical discussion, followed by observations peculiar to the usual mode of development of Six Sigma professionals. It is pointed out that Six Sigma has Statistical Thinking as its foundation; for Six Sigma and its associated frameworks such as Design for Six Sigma and Lean Six Sigma to continue to be effective, it is important that users have a clear understanding of the nature of Six Sigma and be able to address the related challenges in practice. Copyright © 2010 John Wiley & Sons, Ltd.     

Two‐dimensional guidelines for measurement system indices

In this paper, we review two common measurement system indices and a common process capability index. With some simple plots, it will be shown that the traditional guidelines for these measurement system indices can often misdirect improvement efforts. By taking advantage of the relationship between the measurement system indices and the process capability index, two‐dimensional guidelines that can be used as an alternative to the traditional guidelines are developed. These two‐dimensional guidelines are intended to help address adequacy of the measurement system and better direct improvement efforts to where there will be the most benefit. Copyright © 2010 John Wiley & Sons, Ltd.     

6σ管理在炼钢质量管理中的实践与应用

介绍了6σ管理的特征、DMAIC改进模式，6σ管理在莱钢炼钢厂钢水成分、氧含量等质量控制中的应用及取得的效果。     

Downstream performance prediction for a manufacturing system using neural networks and six-sigma improvement techniques

Intelligent techniques have been applied in a range of industrial environments [Meziane F, Vadera S, Kobbacy K, Proudlove N. Intelligent systems in manufacturing: current developments and future prospects. Integrated Manuf Syst 2000;11(4):218–38; Stephanopoulos G, Han C. Intelligent systems in process engineering: a review. Comput Chem Eng, 1996;20 (6–7):743–91; Johnston AB, Maguire LP, McGinnity TM. Using business improvement techniques to inform the optimisation of production cycle time: an industrial case study. Proceedings of the IEEE SMC UK-RI Chapter conference 2004 on intelligent cybernetic systems. September 7–8, 2004 ISSN:1744–9189; Proudlove NC, Vadera S, Kobbacy KAH. Intelligent management systems in operations: A review. J Oper Res Soc, 1998;49(7):682–99] although their implementation is not the first choice of many process engineers. In contrast process engineers in a diverse range of manufacturing environments regularly deploy business improvement techniques, such as the six-sigma methodology. Such techniques aim to control and subsequently identify the relationship between the process inputs and outputs so that a process engineer can more accurately predict how the process output shall perform based on the system inputs. Factors such as cost reduction, automatic process control or simply process prediction may be the defining factors in establishing prediction models.     

DM与6Sigma模式在软件过程改进中的应用

分析了数据挖掘技术和六西格玛模式的特点,以数据挖掘的输出作为六西格玛项目管理正馈和反馈数据的输入,建立改进产品或服务的过程循环,提出了"数据挖掘与六西格玛模式在软件过程改进中应用模型",为软件企业的过程能力提供一个阶梯式的改进框架.