项目进度绩效指标的改进及其动态性预测

传统的挣值方法中,进度指标的预测多表现单期、静态的特性,存在严重的局限性。为了改进和完善挣值管理方法中进度指标体系,在考虑时间序列的基础上,将统计方法引入挣值管理进度指标体系中,用更加科学的方法对项目进度指标进行描述,并在此基础上基于贝叶斯推断方法,加入专家意见,从统计学的角度提出了进度绩效指数的动态预测模型,因而,可以为项目管理者提供科学的据侧依据。     

挣值管理(EVM)的动态分析和预测研究

项目管理挣值在项目管理实践中得到广泛应用。传统的挣值管理在应用中多表现出单期、静态的特性,存在严重的局限性。将统计过程控制引入到挣值管理,以和EWMA控制图分析项目产生变差的原因,同时也为挣值的动态预测提供了基础,最后提出了挣值管理的动态分析方法。     

浅谈EVM理论在工程项目中的运用

在工程造价控制中一般都使用挣值管理(EVM)来监督成本的真实情况。简要介绍了EVM计算并监测的三个关键指标,并讨论在利用挣值管理(EVM)时发现偏差应采取的纠偏措施。     

基于EVM的进度成本控制算法研究

为满足信息系统工程建设监理需要,文章引入了目前项目管理中先进的EVM技术来进行进度成本的跟踪控制,给出了具备优化功能进度控制算法的设计及相关流程图。     

基于承包商的挣值分析法改进研究

挣值分析法是起源于美国国防项目的一种项目进度与费用联合绩效评价方法,引入我国后得到了应用。从承包商角度,对挣值分析法存在的问题进行分析,引入了一个新的参数以及新的偏差分析,为项目成本按计划控制提供了依据。     

Does increased credibility of elections lead to higher political competition? Evidence from India

A large amount of administrative effort is directed towards making elections credible and reducing electoral fraud in large democracies. However, it is not clear if such policy efforts have a feedback effect on political competition. In this paper, we exploit plausibly exogenous variation in perceptions of electoral credibility following the introduction of a technology-induced voting reform in India and find significant impacts on political competition. Electronic voting machines in India were mandated to include an additional layer of transparency by the introduction of a Voter-Verified Paper Audit Trail (VVPAT). We find that with the introduction of VVPAT, the winning margins and vote share of winners decline whereas the number of candidates in the average race increases. The results are robust to econometric concerns arising out of staggered implementation of the program providing support to our identification design. Our results also point to heterogeneous effects of the VVPAT roll-out in constituencies that received it only once relative to those that got the VVPAT in two successive elections. Interestingly, we note that much of the welfare improvement through increased political competition is reversed with more experience, suggesting the presence of important learning effects.