如何应对欧盟电子绿色壁垒

积极应对欧盟电子绿色壁垒随着电子产业的迅猛发展,技术的进步缩短了产品的换代周期,人们在享受电子产品带来的便利和生活质量提高的同时,堆积如山的电子垃圾也严重地污染了环境而造成生态危害。电子产品中有害物质的生态危害和电子垃圾回收处理成为全世界的共同难题。近年来,发达国家纷纷立法对废旧电子电气设备进行管理。继日本《家用电器回收法》2001年4月生效实施之后,欧盟也于2003年通过了有关电子垃圾的立法,并很可能促使其他国家类似环保法规的更快出台。我国首部《电子信息产品污染防治管理办法》的论证工作已结束,将于最近出台。     

简析DMAIC在改善晶体管Bond-ply装配质量中的应用

21世纪是"质量的世纪",质量已经成为企业发展的主题,成为企业能否在激烈的市场竞争中得以生存的决定性因素。文章以改善电子装配产业的晶体管Bond-ply过程质量为例,简要阐述了如何应用六西格玛质量管理的DMAIC工具解决制造过程中的实际问题,对国内企业如何实施六西格玛进行指导,对促进中小企业持续健康发展和提升公司的竞争力提供借鉴。     

ERP企业管理模式助推莆田电子产业转型开放

本文通过对ERP管理模式内涵和应用的阐述与分析,结合莆田市电子产业在转型开放中存在的问题,把ERP先进的管理思想与解决电子产业发展过程中遇到的问题紧密结合,提出了ERP管理模式给莆田市电子产业转型开放带来的新启示。     

电子产品加工质量管控浅谈

当前电子信息产业随着智能技术的快速发展,电子加工行业普遍面临着市场竞争激烈,生产成本高企、盈利空间被挤压等诸多问题.杰克·韦尔奇说过"质量是维护顾客忠诚的最好保证."对于电子产品加工行业来说,生产过程中的质量管控就显得尤为重要了.本文首先阐述了对质量管控的认识及世界质量管控演进史,并针对目前电子企业质量管控普遍存在的问题提出了改进建议.     

积极发挥中介组织作用为振兴电子信息产业服务--记中国电子质量管理协会

中国电子质量管理协会(简称中电质协)是由电子信息产业企事业单位和质量工作者自愿参加的群众性科学技术团体,是具有法人地位的全国性非营利性社团组织,现有单位会员400多个,资深会员58个,设有理事会、常务理事会,秘书处,下设4个专业委员会、6个工作部和一个杂志社.     

QCC 30年的足迹——务实、创新、共享、提升——电子信息行业第三十次质量管理小组及质量信得过班组代表会议侧记

2010年6月20—25日．中国电子质量管理协会在河北省承德市组织召开了中国电子信息行业第30次质量管理小组暨质量信得过班组代表会议．进行了质量管理小组活动成果的交流与表彰。参加本次会议共有410人．其中会议代表344名,评委58人,来自地方电子质量管理机构的领导及部分企业领导8人．     

运用项目管理提高汽车电子软件开发效率

本文针对国内汽车点在项目管理理论欠缺这一问题,提出了适合OEM汽车电子项目的项目管理方法。在实际管理方案层面,首先从项目管理各要素出发论述了汽车电子产业的特点和开发步骤,最后在范围管理,日程规划管理,沟通管理,团队管理,风险管理五个方面结合汽车电子行业特点总结出OEM汽车电子项目管理改进方案。     

金融危机下电子专业市场的困境与出路

电子专业市场是电子信息产业的三大流通渠道之一,承担着电子信息产业的流通环节职能,其发展前景被广泛地看好。在金融危机的背景下,随着不确定因素的增多,电子专业市场的财务风险和经营风险均在一定程度上增加了。要实现我国电子专业市场的健康、可持续发展,必须对电子专业市场进行创新,实现全面转型和资源的高效配置,同时通过创新经营模式、发展产业链和实行规范化管理来促进电子专业市场的发展。     

基于过程控制的供应商质量管理方法研究与应用

近年来,我国汽车行业的迅猛发展,给零部件供应商的质量管理带来了新的挑战.文章结合当前我国汽车零部件供应商的质量管理现状,对基于过程控制的供应商质量管理方法进行了研究,提出了过程控制的5个步骤,总结了适用于我国微车产业供应商特点的过程控制方法     

电子信息工程技术的发展与应用研究

在科学技术的推动下,电子信息工程技术获得快速发展,并在现代产业发展中发挥着重要的作用,对人们的生活带来深刻的变化.总之,电子信息工程技术在现代社会中的应用,提高了人们的生活水平,推动了社会经济的快速发展.文中主要对电子信息工程进行了分析,电子信息工程技术发展重要性以及其发展趋势.     

大型不规则轧辊切削加工工艺的优化过程

大型凸轮类轧辊往往需要使用五轴联动数控龙门铣床进行加工,文章介绍了如何利用车床和三轴数控龙门铣加工大型凸轮类轧辊,并用实例详细介绍了利用该方法对加工工艺的优化过程。     

大型不规则轧辊切削加工工艺的优化过程

大型凸轮类轧辊往往需要使用五轴联动数控龙门铣床进行加工,文章介绍了如何利用车床和三轴数控龙门铣加工大型凸轮类轧辊,并用实例详细介绍了利用该方法对加工工艺的优化过程.     

Improving the process of process modelling by the use of domain process patterns

The use of business process models has become prevalent in a wide area of enterprise applications. But while their popularity is expanding, concerns are growing with respect to their proper creation and maintenance. An obvious way to boost the efficiency of creating high-quality business process models would be to reuse relevant parts of existing models. At this point, however, limited support exists to guide process modellers towards the usage of appropriate model content. In this paper, a set of content-oriented patterns is presented, which is extracted from a large set of process models from the order management and manufacturing production domains. The patterns are derived using a newly proposed set of algorithms, which are being discussed in this paper. The authors demonstrate how such Domain Process Patterns, in combination with information on their historic usage, can support process modellers in generating new models. To support the wider dissemination and development of Domain Process Patterns within and beyond the studied domains, an accompanying website has been set up.     

我国城市化进程中的宏观调控问题

我国目前正处于城市化高峰时期,为协调有序地实现城市化进程,避免先行国家走过的历史弯路,必须以科学发展现为指导,切实加强宏观调控,作者对中国城镇化的相关宏观问题──最终城镇化目标和最终城镇人口总量问题,实现最终城市化目标的时间跨度问题,城市人口密度与城市建设用地问题,城市规模和城市数量问题,城市布局的空间选择问题,调控政策和调控机制建设问题等进行了讨论.     

城市化过程中的生态文化建设

文章从生态文化学的角度 ,对城市化与生态文化的关系以及如何建设城市的生态文化等问题进行了阐述 ,提出人与自然应协调发展 ,倡导加强公众的生态意识 ,形成关于生态的价值规范和观念。     

The self-assessment process

The entire job or career search can best be illustrated as a ladder. With the bottom rung as the beginning of the job or career search process, the next rung in the self-assessment process is the preparation of an effective resume, and ultimately the top rung of the ladder, or the final objective, is securing the appropriate position. The goal in each step of the process is to understand yourself and to present yourself as positively as possible, to overcome any negative aspects that would inhibit a competitive job offer, and to be ultimately successful in the interview process. All of this must be achieved using the most effective, efficient method in the shortest possible time while still facing serious and aggressive competition. The long road ahead can be made easier and can make you stand out from the crowd if the sometimes difficult and time-consuming groundwork provides your ladder with the foundation necessary to reach that top rung as a winner.     

Cauchy cluster process

In this paper we introduce an instance of the well-know Neyman–Scott cluster process model with clusters having a long tail behaviour. In our model the offspring points are distributed around the parent points according to a circular Cauchy distribution. Using a modified Cramér-von Misses test statistic and the simulated pointwise envelopes it is shown that this model fits better than the Thomas process to the frequently analyzed long-leaf pine data-set.     

Safety process innovation in medical service industry

Safety issues are generally ignored in the innovation of services for internal and external customers. The purpose of this study is to provide a safety mechanism framework for process innovation in medical service industry. This study applies action research to develop a safety framework for process innovation. The practicality of the proposed method is demonstrated using a case study of Cesarean sections in Taiwan. The proposed step for safety process innovation and safety process innovation framework (SPIF) were verified by eight experts and tested with Delphi. The most important concept concerning SPIF is that it provides a clear framework for evaluating the risk of potential failure in each subsystem of process in innovation.     

Bayesian prediction in doubly stochastic Poisson process

A stochastic marked point process model based on doubly stochastic Poisson process is considered in the problem of prediction for the total size of future marks in a given period, given the history of the process. The underlying marked point process \((T_{i},Y_{i})_{i\ge 1}\) , where \(T_{i}\) is the time of occurrence of the \(i\) th event and the mark \(Y_{i}\) is its characteristic (size), is supposed to be a non-homogeneous Poisson process on \(\mathbb {R}_{+}^{2}\) with intensity measure \(P\times \varTheta \) , where \(P\) is known, whereas \(\varTheta \) is treated as an unknown measure of the total size of future marks in a given period. In the problem of prediction considered, a Bayesian approach is used assuming that \(\varTheta \) is random with prior distribution presented by a gamma process. The best predictor with respect to this prior distribution is constructed under a precautionary loss function. A simulation study for comparing the behavior of the predictors under various criteria is provided.     

The duality of bankruptcy process in Finland

Standard bankruptcy prediction methods lead to models weighted by the types of failure firms included in the estimation sample. These kinds of weighted models may lead to severe classification errors when they are applied to such types of failing (and non-failing) firms which are in the minority in the estimation sample (frequency effect). The purpose of this study is to present a bankruptcy prediction method based on identifying two different failure types, i.e. the solidity and liquidity bankruptcy firms, to avoid the frequency effect. Both of the types are depicted by a theoretical gambler's ruin model of its own to yield an approximation of failure probability separately for both types. These models are applied to the data of randomly selected Finnish bankrupt and non-bankrupt firms. A logistic regression model based on a set of financial variables is used as a benchmark model. Empirical results show that the resulting heavily solidity-weighted logistic model may lead to severe errors in classifying non-bankrupt firms. The present approach will avoid these kinds of error by separately evaluating the probability of the solidity and liquidity bankruptcy; the firm is not classified bankrupt as long as neither of the probabilities exceeds the critical value. This leads the present prediction method slightly to outperform the logistic model in the overall classification accuracy.