基于改进策略的混合型制造/再制造系统分析

在制造和再制造并存的混合型系统中,制造商需要同时协调新产品生产过程和旧产品再制造过程,这种双向物流的集成运作使得传统的生产规划和库存管理方式不再适用,如何构建一种有效的控制策略来协调生产过程和再制造过程就显得十分关键。本文在优化库存信息的基础上提出了一种适用于混合系统的改进策略,同时考虑到系统复杂性,主要采用控制理论中的传递函数技术构建了系统模型。仿真结果表明,本文提出的改进策略不仅可以有效协调新产品生产过程和旧产品再制造过程,而且还可以显著改善系统性能。     

Longitudinal data analysis using Bayesian-frequentist hybrid random effects model

The mixed random effect model is commonly used in longitudinal data analysis within either frequentist or Bayesian framework. Here we consider a case, in which we have prior knowledge on partial parameters, while no such information on the rest of the parameters. Thus, we use the hybrid approach on the random-effects model with partial parameters. The parameters are estimated via Bayesian procedure, and the rest of parameters by the frequentist maximum likelihood estimation (MLE), simultaneously on the same model. In practice, we often know partial prior information such as, covariates of age, gender, etc. These information can be used, and accurate estimations in mixed random-effects model can be obtained. A series of simulation studies were performed to compare the results with the commonly used random-effects model with and without partial prior information. The results in hybrid estimation (HYB) and MLE were very close to each other. The estimated θ values in with partial prior information model (HYB) were more closer to true θ values, and showed less variances than without partial prior information in MLE. To compare with true θ values, the mean square of errors are much less in HYB than in MLE. This advantage of HYB is very obvious in longitudinal data with a small sample size. The methods of HYB and MLE are applied to a real longitudinal data for illustration purposes.     

Social innovation as a collaborative concept

The rise of social innovation expresses a discontent with innovation as we know it, and its ability to deliver just and sustainable outcomes. Yet, social innovation is also notoriously vague as a concept, thereby putting into doubt whether the concept offers any real improvements or alternatives. This paper issues an invitation to think about social innovation as a collaborative concept. The conceptual framework shows collaboration, rather than contestation, to offer a space for the working together of different perspectives and actors. The collaborative concept frame welcomes and seeks to explain a diversity of uses. Singling out key features of social innovation as a collaborative concept, it seeks to contribute to an emerging practice that makes different contributions part of a progressive conversation about social innovation, the evaluative ideas associated with it and the evidence from policies and projects. Identifying transformative, taxonomical and transitional–sceptical uses of social innovation, the paper highlights the importance of analysing the evaluative aspects of the multisectoral reconfigurations associated with social innovation so as to keep track of its role for justice and sustainability.     

基于移动互联网的混合式学习模式在高职教学中的应用

本文基于混合式学习理论，通过分析混合式学习相对于传统教学模式的优势，制定了基于移动互联网的混合式学习策略，搭建了基于移动互联网的混合式学习平台，针对具体的课程设计了教学实施过程，并形成了对应的行程式的考核评价体系。基于移动互联网的混合式学习利用学生更乐于接受的平台，结合传统教学的优势，在调动学生学习兴趣，利用碎片化学习时间方面收到了不错的成效。     

有模糊时间窗的车辆调度组合干扰管理研究

研究带有模糊时间窗的车辆调度组合干扰管理模型及其混合遗传算法.采用时间窗模糊化处理方法,定义客户满意度函数,根据干扰管理思想对车辆调度中组合性干扰事件进行分析,从配送路径、配送成本和客户满意度三个方面进行干扰辨识与度量,建立基于模糊时间窗的车辆调度组合干扰管理模型;构造模型求解的混合遗传算法,将最佳客户插入规则与遗传算法结合,同时在算法中嵌入模糊优化程序以处理问题的模糊特征;进行数值实验,实验结果验证了模型与算法的有效性.     

论复合图书馆及其馆藏建设

本文阐述了复合图书馆的概念,从复合图书馆馆藏所包含的两方面内容,分别讨论了实体馆藏与虚拟馆藏建设应考虑的问题.     

用伴随网络法系统求解网络多端口一阶灵敏度

本文提出用稀疏表格法建立多端口伴随同络混合参数矩阵,进而构成了一个有规则的矩阵关系式,可一次求取计算网络多端口一阶灵敏度所需要的支路变量信息。在此基础上,定义了一个矩阵循环乘概念,并给出了系统求解网络多端口输出相对每个元件参数变化的一阶灵敏度公式。     

混杂纤维混凝土抗弯冲击性能研究

研究了掺加异型塑钢纤维、铜纤维以及这两种纤维混杂的混凝土梁的抗弯冲击性能。测定了在不同纤维掺量下混凝土梁的初裂冲击次数、破坏冲击次数以及冲击能。试验结果表明：混掺纤维比单掺纤维显著提高了混凝土的冲击能和延性，但对初裂性能影响不大。     

On the Value of derivative evaluations and random walk suppression in Markov Chain Monte Carlo algorithms

Two strategies that can potentially improve Markov Chain Monte Carlo algorithms are to use derivative evaluations of the target density, and to suppress random walk behaviour in the chain. The use of one or both of these strategies has been investigated in a few specific applications, but neither is used routinely. We undertake a broader evaluation of these techniques, with a view to assessing their utility for routine use. In addition to comparing different algorithms, we also compare two different ways in which the algorithms can be applied to a multivariate target distribution. Specifically, the univariate version of an algorithm can be applied repeatedly to one-dimensional conditional distributions, or the multivariate version can be applied directly to the target distribution.