基于DEA的中国铁路物流化运营绩效评价

总结了中国铁路物流化进程中的一些政策措施,运用DEA分析法对中国铁路物流化货运组织的运营绩效进行研究,得出中国铁路向现代物流转化势在必行,刻不容缓。通过建立模型,对铁路工资总额、营业里程、机车数、货车数、货运周转量进行综合评价。分析了1984～2007年整个铁路营运绩效。1986年～1989年整个铁路运营绩效呈上升趋势。1990年～1997年的效率水平具有波动性,但总体呈下降趋势,其中1996～1998年还出现了规模收益递减。1998年至今随着现代铁路物流理念下的铁路行业技术水平提高以及铁路不断提速等,带来了铁路运营绩效的同比增长。     

基于Cross-efficiency DEA的中间站运营绩效分析

根据传统DEA存在的局限性,在有关文献研究的基础上,提出了基于Cross-efficiency DEA模型的中间站绩效分析方法,在调查收集影响中间站运营绩效基础数据的基础上,利用灰色关联分析法提取了评价指标体系,采用Cross-efficiency DEA模型对中间站运营绩效进行了分析、评价和测算,并运用MATLAB软件编程进行了求解,获得了各中间站源配置效率的排序,在对非DEA有效的决策单元进行投影分析的基础上,识别出影响决策单元运营绩效的关键因素,为改进非DEA有效决策单元提供了一个可行方案.最后利用实例验证了该模型的有效性、科学性,分析结果表明:Cross-efficiency DEA模型基本能够反映决策单元运行效率的现实状况.     

Evaluating sustainability of supply chains by two-stage range directional measure in the presence of negative data

Assessing sustainability of supply chains is a critical and increasingly complex problem. In recent years sustainability has received more attention in supply chain management (SCM) literature with triple bottom lines including social, environmental, and economic factors. Conventional data envelopment analysis (DEA) models consider decision making units (DMUs) as black boxes that consume a set of inputs to produce a set of outputs and do not take into consideration internal interactions of DMUs. Two-stage DEA models deal with such DMUs. However, existing two-stage DEA models are applicable only in technologies characterized by positive inputs/outputs. This paper aims to build and present a new two-stage DEA model considering negative input-intermediate-output data. Some numerical examples along with some theorems and properties are given to show capability of proposed method. The proposed ideas are used in a case study where 29 Iranian supply chains producing equipment of expendable medical devices are evaluated in terms of sustainability.     

Efficiency evaluation and PM emission reallocation of China ports based on improved DEA models

The emission of particulate matter (PM) and other atmospheric pollutants in port operations and shipping have caused a huge negative impact on the environment. Consequently, how to evaluate the environmental efficiency of ports and put forward corresponding countermeasures on this basis is becoming a more important issue than ever before from the perspectives of the government, academia, and society. We construct three data envelopment analysis (DEA) models to evaluate the environmental efficiency of ports under the circumstances of environmental control, non-environmental control and PM emission through inter-ports cooperation. The innovation of the DEA models constructed in this paper lies in: (1) Setting environmental control parameters to uniformly manipulate the situations of environmental control and non-environmental control, etc.; (2) Allowing non-equal proportional change of input index, expected output and non-expected output index; (3) Setting preference coefficients for ports to admit favorable decisions; (4) Providing a distance formula of expected output for PM emission reallocation. Further, data from 11 major ports in China are collected to compare the expected output under different PM emission standards assuming the situation of environmental control and non-environmental control, port cooperation, and non-cooperative sewage discharge. The empirical results show that: (1) Ports in the eastern China (Shanghai, Ningbo, and Nanjing) have higher port efficiency; (2) Port cooperation can improve the overall expected output but it will lose its edge with the improvement of PM emission standards. (3) Ports follow the same trend of output loss regardless of favorable decisions. In the end, the author makes a summary, puts forward relevant policy suggestions and makes the recommendation for future research.     

DEA方法在电子对抗装备软件综合评价中的应用研究

针对电子对抗装备软件综合评价中四种不同的群体,建立装备软件综合评价的指标体系,并根据其特点,将模糊综合评价方法和DEA方法结合起来,建立了电子对抗装备软件综合评价和装备软件组织与设计开发方案选择模型,最后给出一个实例验证了模型的正确性。     

港城互动关系评价模型研究

港口发展与城市经济之间有着密切的联系,港口经济已经成为推动区域经济发展的重要力量.通过研究构建包含港口与城市之间的DEA评价模型,定量测算出港口城市发展的有效性以及构建生产函数测定港口对港口所在城市经济贡献的显著性,并分析了港口与港口城市协调发展中所存在的问题.     

Sustainability and interactivity between cities and ports: a two-stage data envelopment analysis (DEA) approach

Ports and cities are intrinsically linked. Port city, which serves as a link between the local and global economy, is an integration of both urban and port systems. Constrained by different regional structures, port cities have developed various formulations over time. Using a two-stage data envelopment analysis (DEA) approach, this paper proposes a new method for measuring the sustainable development of different port city systems. While the previous empirical studies often separate the port system and the urban system, this paper assesses the two systems in an integrated way. Moreover, this paper develops a systematic methodology for measurement of sustainability. Twenty world-leading container port cities are selected for this study using contemporary data. The DEA results display their relative differences in levels of sustainable development, which reveal the effectiveness of the prevailing policies in them. Eventually, recommendations are drawn for other port cities by referring to the best practices.     

未知时变扰动和输入饱和下的智能船舶鲁棒非线性控制

复杂海况下环境多变并且船舶具有多耦合、强非线性的特点,针对智能船舶定位控制问题,考虑在未知时变扰动和输入饱和约束之下船舶的定位控制问题,结合非线性扰动观测器提出一种带辅助动态系统的鲁棒非线性控制算法。通过Lyapunov理论证明了所提出的非线性扰动观测器与控制器结合后闭环系统的稳定性和信号的一致最终有界性。利用非线性扰动观测器对环境中存在的海浪扰动进行有效的估计处理。最后,通过仿真验证了所提出的控制算法不仅能保证船舶期望的位置和艏向,而且提高了控制速度,具有较好的控制性能。     

基于DEA/AHP方法的大运量快速交通方式选择决策

大运量快速交通系统建设对于合理利用城市经济资源、优化城市土地利用布局具有深远意义。但其交通方式的决策过程影响因素众多,传统的决策方法带有较大人为因素。运用数据包络分析(D EA)方法设计了3种大运量快速交通方式(Subw ay、LRT、B RT)的评价模型。针对指标过多的情况,运用层次分析法(A H P)对其进行了加权处理得到综合指标,以便于评价分析。并在D EA求解目标函数中引入相对决策重要因子,弥补了传统D EA方法完全依赖输入、输出指标数据,不能真正反映指标实际重要程度的缺陷。评价实例表明D EA/A H P综合评价方法对于大运量快速交通方式选择决策具有较好的适用性和可操作性。     

一种基于跟踪变结构控制的鱼雷制导律设计方法

利用变结构控制对干扰和参数摄动的“完全自适应性”,设计出了一种基于运动跟踪变结构控制的鱼地律,并将其于被动方式的水下目标跟踪问题中,结果表明,该制导律可以令相对视线角速度按照给定的运动规律变化,从而大大增强了被动跟踪问题的可观性评估的 且对干扰和参数摄动具有较强的鲁棒性,易于工程化问题的处理