A study of the relationship between competitiveness and technological innovation capability based on DEA models

Researchers and managers have been searching for appropriate methods to explore the relationship between technological innovation capability and competitiveness in recent years. This study attempts to find a systematic quantitative methodology to tackle this problem. In a recent survey covering 182 industrial innovative firms in China, the traditional data envelopment analysis (DEA) model was employed to analyze the data collected. The research results show that only 16% of the enterprises operate on the best-practice frontier and there are some inconsistencies between organizational innovation capability and competitiveness in many enterprises. Decreasing returns to scale were found among about 70% of the inefficient enterprises and increasing returns to scale were found among the remaining 30% of the inefficient enterprises. Thus the internal innovation harmonizing process in these enterprises is considerably inefficient. Based on the restricted ranges of the input/output factors, a multi-objective DEA projection model has also been developed in this study to provide a benchmark for auditing competitiveness. Research results further indicate that there is still much room for enterprises to improve competitiveness in situations of confining score ranges of technological innovation capability and competitiveness.     

基于模糊评价法的企业经理人的绩效评估

为了建立一套对企业经理人的绩效进行科学、合理检测的评价体系,首先建立了一套反映企业经理人绩效的二级指标体系,然后构建了一个评价企业经理人绩效的模糊综合评价模型,并将该模糊综合评价模型应用到一个具体的企业,得到了该企业经理人各绩效指标的权重,再通过对该企业具体经理人对应的各二级绩效指标进行评价,然后采用模糊算法计算得到了该经理人的综合绩效分.该评价体系简单方便,有助于企事业单位对自己的高级员工进行有效的人事管理.     

基于灰色关联的虚拟企业伙伴选择

虚拟企业组建时,面对网络上众多且又处于分散无序状态的潜在合作资源,往往难以找到合适的合作伙伴.研究了虚拟企业选择伙伴的指标体系,应用层次分析法计算出各指标的权重,并借鉴灰色关联度理论较好地解决虚拟企业网络化资源伙伴的选择问题.     

基于径向基函数网络的虚拟物流企业伙伴选择方法研究

在对虚拟物流企业系统研究的基础上 ,针对虚拟物流企业伙伴选择问题的特点 ,给出了一个面对虚拟物流企业伙伴选择问题的较为全面的选择过程框架 .并提出了一个基于径向基函数网络算法的虚拟物流企业伙伴选择模型 ,实例仿真说明了该算法和模型的有效性 .     

Novel miniature high power ring filter

The power handling capability of high temperature superconducting (HTS) filters is limited due to current concentration at the edges of the superconducting films. This problem can be overcome by using ring resonator, which employs the edge current free and reduces the current concentration. However, this kind of filter has large size. In order to reduce the cost and size and increase the power handling capability, in this paper a HTS photonic bandgap (PBG) structure filter is developed. The proposed pass band filter with PBG structure exhibits center frequency 12.23 GHz, steepness (about 35 dB/GHz), bandwidth (−3 dB bandwidth is 0.045 GHz), and low insertion loss (about −0.5 dB), and can handle input power up to 1 W (this value was limited by the measurement instrument used in the experiment). The size is reduced by 25%, insertion loss reduced by 37.5%, and steeper roll-off of the filter is also obtained compared with that in published literature.     

试论高校科技产业的管理体制与运行机制

该文在分析高校科技产业现状的基础上,提出了高校科技产业管理体制的构思与运行机制的设想.     

基于WEB的企业应用系统集成

在阐述企业应用系统集成的重要性基础上。提出了实现企业应用系统集成的模型和方法，以及如何运用企业门户的概念和思想构建集企业内部应用、客户和供应商管理及电子商务应用为一体的企业应用系统集成。并通过一个实例说明了这些方法的应用。     

常用微波衰减器脉冲功率容量测试

提出了一种微波衰减器脉冲功率容量的测试方法,该方法可概括为利用定向耦合器组测试比对法,测试系统主要由微波源、定向耦合器组、衰减器、检波器及示波器等器件及设备组成。选取了广泛应用于高功率微波测试系统的波导衰减器及同轴衰减器进行了功率容量测试。初步测试结果表明:在X波段,对于μs量级脉冲宽度的单脉冲,衰减材料为羟基铁的BJ-100矩形波导式衰减器的脉冲功率容量可达50 kW,厚膜电阻为衰减材料的N型接头的同轴式衰减器的功率容量可达10 kW以上。     

兼顾功能与协调的企业专利质量评价研究——中国上市芯片企业的实证分析

现有研究缺乏一个较为合理完善的针对企业层面的专利质量评价方法,为科学、合理地评价企业专利质量,从专利技术质量、法律质量和经济质量三个维度建立了企业专利质量评价体系。基于主客观组合赋权法,进一步利用客观偏好系数融合两种聚合算子构建了兼顾功能与协调的企业专利质量组合赋权评价模型。并对2010年至2015年中国上市芯片企业专利质量进行实证研究,结果表明:该时期内芯片企业专利质量整体发展情况较为良好,但部分企业评价值存在较大起伏;一些芯片企业存在专利质量指标间“不协调”的问题,可能造成评价结果“虚高”,这在规模较小的企业中更为普遍;发明专利在芯片企业专利质量中具有重要地位。本文的研究可对企业提升专利质量以及政府制定专利政策提供实践借鉴。     

区域集群下板材订单配置模型及算法研究

针对集群企业板材资源滞留、无法共享、加工旺季材料短缺等问题,依据区域板材特性和区域企业集群地理相关优势,建立以减少需求方板材订单采购费用最小化为目标的板材订单分配模型,采用以粒子群、免疫算法相结合的混合调度算法。计算过程中,将订单分配对应企业编号作为免疫系统的抗体基因,通过比较适应度函数解与订单预算成本的关系,将抗体群区分为支配解与非支配解,提高算法对抗原的免疫能力和最优解的选择概率。最后以板材订单分配实例进行试验仿真,分别采用PSO算法与IA-PSO算法进行试验对比,对平台上6家订单发布企业寻找合适地理位置相近和价格相对低廉的供应商。试验结果表明,IA-PSO算法能够有效地解决区域集群内板材订单的匹配问题,并且在寻找价格更低和位置更合适的供应商上更有优势。