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.     

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。     

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.     

长江危险品船舶交通事故应急资源优化配置研究

针对长江危险品船舶交通事故应急资源配置中存在的问题和自身特点,从应急系统中应急资源的投入产出的整体相对效率考虑,运用数据包络分析(DEA)对长江危险品交通事故应急资源配置效率进行评价,在此基础上,用神经网络对评价所得数据进行训练,并对生成方案的效果进行预测,从而获得全局最优的危险品交通事故应急资源优化配置方案,为目前长江危险品船舶交通事故应急资源的科学配置提供了重要的参考依据。     

Prioritization of failure risk in subsea flexible pipes via data envelopment analysis

Risk-based inspection is nowadays the predominant approach to structural integrity assurance in complex engineering systems, such as those designed for and operated in deepwater environments. One of the major tasks in risk-based planning is risk ranking of the components comprising an engineering system. In this paper, a mathematical model based on data envelopment analysis is developed for this purpose, whereby two types of weights are employed: subjective judgmental weights which are provided as input, and objective which constitute the output of the model. The use of the mathematical model is illustrated in a real world system of subsea flexible pipes, which operational in the south Atlantic Shelf off the Southeast Coast of Brazil.     

我国铁路网运营的相对有效性评价分析

为量化分析我国铁路网运营的有效性,利用评价经济系统相对有效性的数据包络分析方法,就铁路网近年来运营的相对有效性进行了分析评价。从投入产出的角度,通过计算决策单元未充分利用的资源投入和产出指标输出不足的数量,分析决策单元非相对有效的原因,获得某些有关改善路网运营效率的管理信息;还就我国铁路网运营的有效性与国外主要国家铁路进行比较。结果表明,随着铁路网规模的扩大,路网质量的提高,尤其是近几年一系列运营组织措施的实施,不仅整个路网的运营有效性在提高,而且大多数铁路局(公司)所在路网的运营也是相对有效的;与国外主要国家相比,我国铁路网也是运营很有效的路网之一。     

基于DEA模型的港口企业规模效率评估

根据数据包络分析的CRS、VRS、NIRS模型原理,建立评价港口企业规模效率的定量依据,并对扬州港2000-2006年的生产样本数据进行实证分析.通过扬州港各决策单元的DEA有效性和规模收益分析,对其各年份的生产情况进行评价,从而衡量扬州港的生产经营效率状况,有利于港口企业在发展中准确定位,也为港口的投资建设提供决策指导.     

物流产业结构的DEA/PCA评价

将数据包络分析方法（DEA）和主成分分析方法（PCA）结合，用投入产出比的相对有效性评价物流产业结构，并构建了DEA／PCA分析模型．以该模型为框架，分别采用DEA和PCA方法对物流产业结构进行评价与排序，然后将两方面的评价结果在由DEA和PCA组成的坐标系中直观地综合分析．可用该方法对各年的情况进行逐年评价，以做连续动态的对比和综合分析．     

基于规模、范围、网络特征的江苏省运输服务产业实证分析

从规模、范围、网络3个维度,对运输服务产业特征进行了系统分析,并以江苏省为例,运用生存技术法、生产函数随机前沿、数据包络分析法对现阶段江苏道路、水路运输服务产业的规模经济、范围经济及网络经济进行实证分析,为运输服务产业政策和企业战略制定提供依据.     

客运专线基础设施维修基地大机维修效率评价

大型养路机械在我国铁路线路基础设施维修中的作用日益凸显,通过对大机维修效率内涵的界定,提炼出大机维修精干高效、经济适用和安全可靠的指导思想.进而建立客观全面的评价指标体系,采用数据包络分析法评价不同线路的大机维修效率.从业务管理、设备管理和现场管理3个方面找出效率损失的原因,提出相应对策建议,为客专维修基地提高大机维修...