上市港口企业投人产出效率研究

运用三阶段DEA模型,对在上海证券交易所上市的港口企业投入产出效率进行研究．基于上市港口企业年报数据,选取港口营业成本和在职员工数作为投入指标,选取港口货物吞吐量和净利润作为产出指标,构建基于港口企业运营特点的DEA模型;引进环境变量,采用SFA模型分解DEA模型中投入指标的松弛变量;重新运行经调整后的投入指标与原产出指标的DEA模型．研究结果表明,2012年我国上市港口企业整体综合效率水平相对较高,投入冗余程度相对较轻,对于部分规模报酬递增型港口可以考虑适度扩大规模,对于综合效率低于平均水平的部分港口,应考虑寻找企业内部运营管理问题,适度减少投入．     

基于malmquist指数的航空公司多级票价效率评价

为实现利润最大化,目前很多航空公司都实行多级票价体系,以获得更多的消费者剩余。引入数据包络分析法,利用malmquist指数,针对山东航空公司20条航线进行了多级票价的效率评价研究,通过实证发现,这20条航线中,有12条尚未达到DEA （date envelopment analysis ）有效,即多级票价体系尚需调整。同时,通过分解malmquist指数,可以从数据直观地看出影响航空公司多级票价体系效率的因素,其中9条是由于多级票价结构原因,7条是由于票价价位原因。     

基于DEA的中间站资源配置效率评价

中间站是铁路运输最基层的生产单位,其投入产出的效果关系到铁路运营的收入,因此对中间站工作效率有效性进行综合评价很有必要.结合中间站运输生产的特点,选取了一系列绩效评价指标,采用数据包络分析（DEA）模型,对某车务段所辖办理货运业务的12个中间站进行评价,并对各中间站的技术效率、规模效益、松弛变量进行分析,提出改进各中间站工作效率的途径.     

基于DEA的汽车制造企业投资有效性分析

通过运用数据包络分析模型(DataEnvelopmentAnalysis,简称DEA),对汽车制造业上市公司投资的相对有效性进行综合评价,从而为企业管理者进行科学决策提供依据。     

我国铁路运输业劳动力资源合理规模分析

当前劳动力过剩已经成为阻碍我国铁路运输业进一步发展的重要因素。利用测度相对效率的DEA方法,定量分析了我国铁路运输劳动力资源的合理规模。目前我国铁路运输业劳动力资源规模应为140－168万人,并对劳动力冗员问题的解决提出了相应的对策建议。     

基于AHP和DEA方法的公路建设项目评价

建立了公路建设项目的综合评价指标体系,改进了传统的数据包络分析方法;将层次分析法和改进的数据包络分析方法相结合,建立了综合评价模型;实证了运用该模型解决公路建设项目评价问题的可行性.     

Achieving sustainable development of supply chain by incorporating various carbon regulatory mechanisms

Nowadays, sustainability issues have received considerable attention in supply chain management because of the governmental requirements as well as expectations of the people. This paper introduces a novel supply chain network design problem to cover three dimensions of sustainability, namely economic, environmental, and social. The advantage of the presented model stems from considering the booming development aligned with reduction in environmental impact. In this paper, to achieve the mentioned benefits and to derive a more sustainable supply chain, a novel model in the presence of the most commonly used carbon policies is proposed. This paper, addresses sustainable development through imposing proper carbon regulatory mechanisms. Main contribution of this study is to consider the effect of imposing carbon policies on environmental advantages as well as improving the regional development level in a supply chain network design problem. Moreover, the shipment consolidation decisions are utilized to reduce cost as well as environmental impact. In addition, a novel mixed uncertainty approach is proposed to capture the uncertain emission parameters. The numerical examples and a case study are analyzed to evaluate the performance of the proposed models. It is concluded that, a high-growth economy with low-carbon can be made and also almost global well-being of people is ensured by applying the proposed model. Some managerial insights are provided for the enterprises of supply chains to make the most appropriate sustainable decisions. Finally, proper carbon emission policies are suggested based on the region sustainability characteristics.     

Robust optimization of distance-based tolls in a network considering stochastic day to day dynamics

This paper investigates the nonlinear distance-based congestion pricing in a network considering stochastic day-to-day dynamics. After an implementation/adjustment of a congestion pricing scheme, the network flows in a certain period of days are not on an equilibrium state, thus it is problematic to take the equilibrium-based indexes as the pricing objective. Therefore, the concept of robust optimization is taken for the congestion toll determination problem, which takes into account the network performance of each day. First, a minimax model which minimizes the maximum regret on each day is proposed. Taking as a constraint of the minimax model, a path-based day to day dynamics model under stochastic user equilibrium (SUE) constraints is discussed in this paper. It is difficult to solve this minimax model by exact algorithms because of the implicity of the flow map function. Hence, a two-phase artificial bee colony algorithm is developed to solve the proposed minimax regret model, of which the first phase solves the minimal expected total travel cost for each day and the second phase handles the minimax robust optimization problem. Finally, a numerical example is conducted to validate the proposed models and methods.     

物流中心选址方法的研究

在研究物流中心选址基本原则、分析物流中心选址常用方法的同时,综合物流中心选址的层次分析法(AHP)和数据包络法(DEA),提出了物流中心选址的AHP/随机DEA方法.通过引入随机变量,解决了数据包络分析中权重选择的不足之处,把选择物流中心地址过程中的主观判断转变为可信度判断,提高物流中心地址评价的可信度.该模型在实际物流评价应用中取得了较好的效果.     

汽车动力系统的滑模控制

汽车动力系统是一个非常复杂的系统，不仅系统的参数较多，而且有着非常严重的非线性，这使得汽车动力系统不易在线辨识，只能选用鲁棒性控制，本文采用滑模控制理论进行控制器设计，对基于循环的增压柴油发动机离散平均值模型和基于时间的传动系平均值模型进行了多级滑模面的串级滑模变结构控制，最终使车速信号能精确地跟踪给定的车速参考信号。