考虑碳配额回购融资的再制造企业生产决策

以资金约束的再制造企业为研究对象，分析了碳配额回购融资下的再制造生产决策问题。分别建立了资金约束下有无碳配额回购融资的再制造生产决策模型，利用Kuhn-Tucker条件得到了不同情形下的最优解，并对两种情形下的最优解进行了比较；通过算例分析初始生产资金、消费者偏好和碳配额回购量对最优产量和利润的影响。研究表明：当初始生产资金较低时，再制造企业选择碳配额回购融资会提高新品产量和总产量；若消费者对再制造品的偏好较高，采取碳配额回购融资提高再制造企业的利润；随着碳配额回购量的提高，再制造企业的利润先提高后降低。另外，存在唯一的最优碳配额回购量使得利润最大。     

不同基片生长γ'-Fe4N薄膜的结构及其磁学性能

采用直流磁控溅射方法, 保持氩气流量不变, 控制氮气的体积分数为10%,125%,15%, 分别用Si（100）单晶和SrTiO₃（100）单晶基片制备Fe N薄膜. 用X射线衍射(XRD)和振动样品磁强计(VSM)等方法对两种不同基片生长Fe N薄膜的结构及磁学性能进行表征. 结果表明: 在SrTiO₃（100）单晶基片上得到了单相γ′-Fe₄N薄膜, 与Si（100）基片上的样品相比, SrTiO₃（100）更有利于诱导γ′-Fe₄N薄膜的取向性生长; 当氮气的体积分数约为12.5%时, 制备单相γ′-Fe₄N薄膜的晶粒结晶度较好, 且饱和磁化强度较高, 矫顽力比Si（100）为基片获得的Fe N薄膜样品低, 软磁性能较好.     

Strategic Robust Mixed Model Assembly Line Balancing Based on Scenario Planning

Assembly line balancing involves assigning a series of task elements to uniform sequential stations with certain restrictions. Decision makers often discover that a task assignment which is optimal with respect to a deterministic or stochastic/fuzzy model yields quite poor performance in reality. In real environments, assembly line balancing robustness is a more appropriate decision selection guide. A robust model based on the α worst case scenario is developed to compensate for the drawbacks of traditional robust criteria. A robust genetic algorithm is used to solve the problem. Comprehensive computational experiments to study the effect of the solution procedure show that the model generates more flexible robust solutions. Careful tuning the value of α allows the decision maker to balance robustness and conservativeness of as- sembly line task element assignments.     

冷冲模设计及CAD/CAM课程教学的探讨

就模具技术的现状及发展趋势,论述了冷冲模设计课程教学的内容、特点与CAD/CAM结合进行教学,并通过实验教学、工程实践等必不可少的教学环节,将冲模设计这门课程引入一定的深度和广度,教学效果明显提高.     

BP与RBF在南水北调工程中的运用

人工神经网络具有高度的非线性映射能力,通过样本的学习,实现输入与输出之间的非线性映射.通过对比两种人工神经网络BP和RBF,结合南水北调东线一期工程一刘老涧站土样作样本,结果表明采用BP神经网络预测膨胀趋势结果更准确,具有较强的可推广性.     

大豆胰蛋白酶抑制剂SBTi—A2新类型Ti^d突变位点的初步研究

纯化的大豆胰蛋白酶抑制下Ｔｉ＾ａ和Ｔｉ＾ｄ分别经烷基化，ＣＮＢｒ裂解，痛ＰＡＧＥ电泳，Ｔｒｉｃｉｎｅ／ＳＤＳ－ＰＡＧＥ电泳分析，初步证明了Ｔｉ＾ｄ的突变位点发生在蛋白Ｎ端１－８４氨基酸残基上。     

换热网络通用流程模拟及数据管理系统

本文的流程模拟系统,能对任意结构的换热网络,计算各台换热器的进出口温度和压力降,并可求出网络的最大压降及其路径。还配套设计了专用数据管理系统,可实现对网络数据的输入、输出、修改、检错、存储等操作。     

面向扶梯不安全行为的改进型深度学习检测算法

以YOLOv5s网络模型为基础,引入注意力机制CBAM模块,基于Ghost卷积模块重构网络模型的卷积操作,提出一种面向扶梯不安全行为的改进型深度学习检测算法.然后,在自主收集的扶梯不安全行为数据集上对其进行训练评估.结果表明,所提算法在检测精度有所提高的同时,大幅减少了检测所需的参数量和计算量.     

Optimal Policy for Remanufacturing Firms with Carbon Options under Service Requirements

This paper studies the procurement management of carbon financial instruments and the production decisions for an emission-dependent remanufacturing firm under service requirements.In the presence of demand uncertainty,carbon emission options are introduced to hedge risks for the firm who purchases carbon financial instruments under a cap-flexible emission trading scheme(ETS)and then conducts remanufacturing.We develop three optimization models to determine the optimal remanufacturing quantity(procurement quantity of carbon financial instruments)maximizing the firm's expected profit under three contracts:a pure wholesale price contract,a pure carbon option contract,and a portfolio contract.Through analyses and comparisons of optimal solutions,we demonstrate the values of introducing carbon options and committing to service levels for the firm.Compared with the other two pure contracts,the portfolio contract makes the firm better off.However,high service requirements may lead to a profit loss to the firm.We generalize to the cases when the yield rate is dependent on the quality of used products,when the yield is stochastic,and when carbon price performs volatility.Discussion of these extensions illuminates how the variability of used product quality,yield rate and carbon price influences the firm's performances.     

短跑教学中的快速单足跳训练

在高中男生的短跑教学中，运用快速连续的单足跳练习来增强学生下肢的爆发力．在教学中，将７６名男生分成实验组和对照组．实验组以快速连续的３０ｍ单足跳为主要练习手段．对照组不采用快速连续的单足跳练习，完全以大纲教材的内容进行练习．教学后，分别测试他们的快速连续的３０ｍ单足跳成绩和１００ｍ快速跑成绩，然后进行统计学处理．从而发现实验组的教学效果明显优于对照组．认为：快速连续的单足跳练习是发展学生下肢爆发力，提高快速奔跑能力的一种简单易行，效果良好的教学手段．