资源约束项目计划内在稳健性与资源使用效率关系

资源约束项目计划的内在稳健性受资源使用效率的影响,查明二者之间的影响关系,可为稳健性的项目计划制定和项目计划稳健性的预测提供依据。文章应用16种优先规则对Kolisch的j30算例集中的480个算例制定项目计划,计算出各项目计划的资源使用效率,通过仿真的方法得到各项目计划的内在稳健性值;实验结果表明,项目计划的内在稳健性与资源使用效率之间存在显著的负相关关系,即资源使用效率越高,项目计划的内在稳健性越低,这与直觉一致。     

环保税制下政府规制对企业减排的影响——基于演化博弈的分析

以新环保税制为背景,将环境保护税与政府其他环境规制行为结合起来,运用演化博弈理论,研究地方政府与排污企业的策略互动行为,并将公众举报纳入政府收益函数当中。基于地方政府及排污企业不同策略间净收益的大小,得到12种演化路径,以此为基础将企业减排创新的过程分为发展、成长和成熟期进行数值仿真。结果表明:政府监管强度对企业减排的影响程度视后者减排净收益大小而定,而前者强弱与否主要取决于监管成本的高低;企业减排发展初期过低的环保税率并不会引致企业进行减排技术创新;减排成长期的企业进行减排创新的决策则视政府策略而定;处于成熟期的减排企业则会主动进行减排技术创新。因此,在多种规制工具并行的前提下,政府应视企业所处发展周期的不同制定环保税率,同时辅以一定的税收减免和补贴力度,以降低企业治污成本,促使排污企业在生产过程中向减排技术创新演化。     

The Times They are A’changing: Multigenerational Family Simulations

Multigenerational households are increasingly affecting both the individual and family as well as community organizations and social policies. Social work and other family studies students can profit from educational modalities that use adult learning applications through a systems life-course perspective, the whole family aging over time. Family simulation software—addressing multigenerational families, such as two or more adult generations living together—builds on a previous paper (Marriage & Family Review, Feb. 2015). Social class, among other demographic and environmental variables, is emphasized. Agent-based family social network simulation of multigenerational families can facilitate experiential learning. An automatically generated life events report, based on both factual data and specific family characteristics, can be used as a classroom case study for role playing and assessing.     

Accelerated test system strength models based on Birnbaum–Saunders distribution: a complete Bayesian analysis and comparison

Several models for studies related to tensile strength of materials are proposed in the literature where the size or length component has been taken to be an important factor for studying the specimens’ failure behaviour. An important model, developed on the basis of cumulative damage approach, is the three-parameter extension of the Birnbaum–Saunders fatigue model that incorporates size of the specimen as an additional variable. This model is a strong competitor of the commonly used Weibull model and stands better than the traditional models, which do not incorporate the size effect. The paper considers two such cumulative damage models, checks their compatibility with a real dataset, compares them with some of the recent toolkits, and finally recommends a model, which appears an appropriate one. Throughout the study is Bayesian based on Markov chain Monte Carlo simulation.     

非对称基坑开挖监测位移下数值对比分析

以南京市青奥轴线地下交通工程主隧道基坑非对称开挖水平位移监测数据为依据,对水平位移监测值与ABAQUS数值模拟值进行对比分析。得出结论:墙体水平位移首先是悬臂开挖的墙顶向外发生三角形分布的位移,然后随着支撑的架设,墙体发生转动,数值模拟值与实际监测值基本符合;在开挖面附近的土压力,随着墙体高度的增加而增大;在支撑以上部分,模拟值要小于计算值,而在开挖面以下部分,则模拟值大于计算值;随着悬臂段开挖深度的增加,悬臂段最大土压力值也在逐渐增加,墙底土压力值在逐渐减小。     

除尘器区低温省煤器烟道数值模拟

为实现除尘器区低温省煤器的节能改造,基于FLUENT6.3软件,对除尘器区低温省煤器烟道的流场进行数值模拟研究。研究结果表明:除尘器前烟道内流场严重不均,转弯处有明显的高速区与漩涡区,局部速度高达32 m/s;加装低温省煤器后,两低温省煤器内流场不均,最大速度偏差系数达79.3%,严重影响低温省煤器的换热效果,同时会磨损、冲刷低温省煤器管路,危及低温省煤器的安全;除尘器入口处出现大面积的低速区域,导致进入除尘器后流场紊乱、除尘器电耗高、除尘效率低等现象,除尘器前烟道内整流消涡可以根治除尘器工作效率的问题。     

电信运营商投资效益仿真研究——基于系统动力学视角

针对目前电信运营商投资效益分析方法单一的现状,依据电信运营商投资效益非线性、动态性等特征,运用系统动力学方法构建了电信运营商投资效益仿真模型,对电信运营商投资效益影响因素进行了仿真分析。结果表明网络设备延迟投入、综合造价等对投资效益影响较大,在此基础上,给出了电信运营商在针对投入产出水平和提升效益方面的建议。     

Trend estimation of multivariate time series with controlled smoothness

This paper extends the univariate time series smoothing approach provided by penalized least squares to a multivariate setting, thus allowing for joint estimation of several time series trends. The theoretical results are valid for the general multivariate case, but particular emphasis is placed on the bivariate situation from an applied point of view. The proposal is based on a vector signal-plus-noise representation of the observed data that requires the first two sample moments and specifying only one smoothing constant. A measure of the amount of smoothness of an estimated trend is introduced so that an analyst can set in advance a desired percentage of smoothness to be achieved by the trend estimate. The required smoothing constant is determined by the chosen percentage of smoothness. Closed form expressions for the smoothed estimated vector and its variance-covariance matrix are derived from a straightforward application of generalized least squares, thus providing best linear unbiased estimates for the trends. A detailed algorithm applicable for estimating bivariate time series trends is also presented and justified. The theoretical results are supported by a simulation study and two real applications. One corresponds to Mexican and US macroeconomic data within the context of business cycle analysis, and the other one to environmental data pertaining to a monitored site in Scotland.     

A backward construction and simulation of correlated Poisson processes

In this paper, we consider a generalisation of the backward simulation method of Duch et al. [New approaches to operational risk modeling. IBM J Res Develop. 2014;58:1–9] to build bivariate Poisson processes with flexible time correlation structures, and to simulate the arrival times of the processes. The proposed backward construction approach uses the Marshall–Olkin bivariate binomial distribution for the conditional law and some well-known families of bivariate copulas for the joint success probability in lieu of the typical conditional independence assumption. The resulting bivariate Poisson process can exhibit various time correlation structures which are commonly observed in real data.