自卸汽车加伍德式举升机构优化设计数学模型

文章建立了自卸汽车加伍德式举升机构优化设计数学模型,给出了其优化设计目标函数min(KO)=min[(XG·DAEC)/(DOEC·DAEB)]和其评价指标α=Pmax/P-1,并介绍了约束条件的给出方法以及本优化设计数学模型的应用注意事项,为企业的自卸汽车设计提供了一套良好的设计方法。     

激光仿型快速测量系统的设计开发

文章介绍了应用激光仿型开发快速测量系统的设计过程及其相关的关键技术,并就该技术中的难点进行了引导性分析     

中小企业存货质押供应链金融博弈及数值分析

本文根据供应链金融理论,分析存货质押供应链金融融资模式中各主体间的博弈关系,对复制动态方程表示的银行、物流企业及中小企业利益函数进行数值分析,认为存货质押供应链金融融资模式对三方收益具有积极影响,三者之间信任关系的建立及维护对供应链金融融资模式的实施具有重要影响。最后提出了同一供应链条上的核心企业与中小企业加强信任与合作、强化物流企业对中小企业贷款抵押存货的监管、建立和完善银行对中小企业的还款追加制度和存货质押管理制度以及成立中小企业政策性银行四点政策建议。     

物流金融业务模式研究:以中国台湾企业成功经验为例

物流金融是一种创新型的第三方物流服务产品,其为金融机构、供应链企业,以及第三方物流服务提供商业间的紧密合作提供了良好的平台。归纳了物流金融的业务模式,并分析了中国台湾企业在这方面的成功经验,以期为中国大陆物流金融的发展提供借鉴。     

Exploring the development trend of internet finance in China: Perspective from club convergence

We first employ β-conditional convergence and log t regression tests based on nonlinear time-varying factor model and club clustering algorithm to analyze the convergence characteristics of the development level of Internet finance in 335 prefecture-level cities in China. The result of log t regression test illustrates that there is no convergence as a whole in the development level of China's Internet finance. However, seven convergence clubs and a divergent group have been formed, and the development level and growth rate of Internet finance among these convergence clubs have shown obvious differences. Moreover, we also employ the Ordered Probit to explore the formation mechanism of the convergence clubs. The results reveal that the regions with a higher level of economic development, traditional financial development, economic openness and Internet development are more inclined to converge in a club with a higher Internet finance development level. Alternatively, the regions that are interfered with more by the government or that have a lower degree of marketization, tend to converge in a club with a lower level. Finally, according to the conclusions, we propose corresponding policy recommendations for promoting the regional coordinated development of China's Internet finance.     

基于改进Dijkstra算法的最短路算法

Dijkstra算法是求解最短路径问题的经典算法。在现如今的城市交通网络中,经常需要寻求两个地点之间的最短距离,减少运输时间。本文将Dijkstra算法与C语言相结合,对Dijkstra算法进行改进,根据实际网络图的情况,建立了相应的数学模型,运用C语言编程,在给定的网络图中,实现了只需确定起始点和终点,就可以直接输出最短路径和最短距离的功能。在有多个相同最短路径的情况下,会将多个最短路径一起输出,在搜索到终点时,立即跳出,结束循环。在一般情况下,无需对所有点进行迭代,提高了效率。这种方法可以应用到现在的物流运输中,以此来节约时间,降低成本。     

大学数学素质拓展课程的教学实践

本文结合昆明理工大学实际,探讨了在新的时代要求下为高校非数学专业学生开设数学拓展课程的必要性,并提出了相关的理论依据。同时,本文在已开设拓展课程的基础上总结了取得的成绩和存在的不足,为今后课程设置及教学的进一步完善提出了相关建议。     

关于资产证券化及会计处理的探讨

资产证券化是金融创新浪潮中崛起的一种主流融资技术。它使贷款成了具有流动性的证券,盘活企业的存量资产,并优化其财务比率。然而,也相应地引发了一系列的会计问题。主要集中在转让方式或出售方式的会计确认、定价计量、会计报表合并及报表披露。     

Optimizing the credit term decisions in supply chain finance

We study a credit term determination problem in the context of a supplier-buyer supply chain. The supplier's credit term decision is simultaneously made with its production and inventory decisions, and most importantly, it is impacted by the buyer's order quantity. We present a new game-theoretic framework to model this problem, which captures the interaction between the supplier's credit term decision and the buyer's order decision in a multi-period setting. An exact method based on nonlinear programming is implemented to obtain the optimal solutions. We apply our methodologies on a real world case. The computational results show that our approach significantly outperforms the heuristics with fixed credit terms, and either a short or a long credit term can be sub-optimal for the supplier in profitability. Our work offers the first data-driven model and solution approach that assists purchasing and supply managers to make optimal dynamic credit term decision in conjunction with production, ordering and inventory decisions in a game-theoretic setting.     

Why Distinguish Between Statistics and Mathematical Statistics–The Case of Swedish Academia

A separation between the academic subjects statistics and mathematical statistics has existed in Sweden almost as long as there have been statistics professors. The same distinction has not been maintained in other countries. Why has it been kept for so long in Sweden, and what consequences may it have had? In May 2015, it was 100 years since Mathematical Statistics was formally established as an academic discipline at a Swedish university where Statistics had existed since the turn of the century. We give an account of the debate in Lund and elsewhere about this division during the first decades after 1900 and present two of its leading personalities. The Lund University astronomer (and mathematical statistician) C. V. L. Charlier was a leading proponent for a position in mathematical statistics at the university. Charlier's adversary in the debate was Pontus Fahlbeck, professor in political science and statistics, who reserved the word statistics for ‘statistics as a social science’. Charlier not only secured the first academic position in Sweden in mathematical statistics for his former PhD student Sven Wicksell but also demonstrated that a mathematical statistician can be influential in matters of state, finance as well as in different natural sciences. Fahlbeck saw mathematical statistics as a set of tools that sometimes could be useful in his brand of statistics. After a summary of the organisational, educational and scientific growth of the statistical sciences in Sweden that has taken place during the last 50 years, we discuss what effects the Charlier–Fahlbeck divergence might have had on this development.