广州南沙港发展现代物流业的SWOT分析及对策研究

本文用SWOT分析法时广州南沙港发展现代物流业的优劣势以及面临的机遇和挑战进行了综合分析，并就如何做强南沙港物流业提出了相关对策。     

长沙市地下管线测量数字化的更新、软件升级及应用

地下管线的主要特点是隐蔽性,地下分布纵横交错,年代已久的原有手工数据几乎无参考价值且存档不便、使用复杂、工作量大。使用自主开发升级后的计算机程序软件,不仅可以大大提高地下管线测量数据的更新、规划设计及施工的效率,而且可以通过CAD图形分析对特殊地段重要管线是否保留利用作出决定。     

Productive Efficiency of the Swine Industry in Hawaii: Stochastic Frontier vs. Data Envelopment Analysis

Improving productive efficiency is an increasingly important determinant of the future of the swine industry in Hawaii. This paper examines the productive efficiency of a sample of swine producers in Hawaii by estimating a stochastic frontier production function and the constant returns to scale (CRS) and variable returns to scale (VRS) output-oriented DEA models. The technical efficiency estimates obtained from the two frontier techniques are compared. The scale properties are also examined under the two approaches. The industry's potential for increasing production through improved efficiency is also discussed.     

Lower Bound Restrictions on Intensities in Data Envelopment Analysis

We propose an extension to the basic DEA models that guarantees that if an intensity is positive then it must be at least as large as a pre-defined lower bound. This requirement adds an integer programming constraint known within Operations Research as a Fixed-Charge (FC) type of constraint. Accordingly, we term the new model DEA_FC. The proposed model lies between the DEA models that allow units to be scaled arbitrarily low, and the Free Disposal Hull model that allows no scaling. We analyze 18 datasets from the literature to demonstrate that sufficiently low intensities—those for which the scaled Decision-Making Unit (DMU) has inputs and outputs that lie below the minimum values observed—are pervasive, and that the new model ensures fairer comparisons without sacrificing the required discriminating power. We explain why the low-intensity phenomenon exists. In sharp contrast to standard DEA models we demonstrate via examples that an inefficient DMU may play a pivotal role in determining the technology. We also propose a goal programming model that determines how deviations from the lower bounds affect efficiency, which we term the trade-off between the deviation gap and the efficiency gap.     

基于顾客导向的物流企业风险预警

文中通过回顾企业风险预警管理相关文献,分析了物流企业风险形成主要影响因素,并结合物流企业运营特征,建立基于顾客导向的物流企业预警指标体系,运用灰关联分析方法评价物流企业顾客满意度,对物流企业的风险进行预警。     

Selecting Sites for New Facilities Using Data Envelopment Analysis

This paper develops a mathematical programming model for obtaining a best set of sites for planned facilities. The model is concerned with those situations where resource constraints are present. The specific setting for the paper involves the selection of sites for a set of retail outlets, wherein the ratio of aggregate outputs to inputs for the selected set is maximal among all possible sets that could be chosen. At the same time, the model guarantees that the only sets of stores allowable are those for which the available resources are used to the maximum extent possible.     

Hybrid governance and governance performance in industrial purchasing relationships

Hybrid governance arrangements (e.g. joint action, long-term contracting and vertical coordination) feature regularly as an effective response to inter-firm dependence in the literature of business-to-business relationships. However, current empirical work has paid little attention to whether such governance arrangements really do improve governance efficacy and reduce transaction costs. The present study focuses on the governance efficacy of vertical coordination in industrial business-to-business relationships. Building on transaction costs arguments, the author examines whether vertical coordination is an effective means for adapting to inter-firm dependence, realized as the substantial employment of specific assets.Empirical findings from a survey of 170 industrial supplier–buyer relationships demonstrate that when asset specificity reaches a certain level, greater vertical coordination reduces ex post transaction costs significantly. On the other hand, this efficacy pattern is modest or non-existent in relationships with low asset specificity.The research findings support the basic TCA assumption that the performance of hybrid governance arrangements is highly dependent on a situation of substantial inter-firm dependence with subsequent small-number conditions.     

基于主成份分析的江苏省各市区经济发展潜力评价

本文选取15项适当的主要经济指标构建了评价指标体系,基于主成分分析法和SPSS12.0数据处理,对江苏省13个市(区)进行了定量分析。根据各地区的综合得分以及排名评价了江苏各市区的经济发展水平同时指出了各地区社会经济发展不平衡的原因,提出相应的对策,为挖掘江苏社会经济发展的潜力提供了一定的借鉴作用。     

经济生产量模型对库存的控制

在分析需求变化的基础上修改和完善了经济批量模型,进一步研究了单项物品和多项物品的最小经济生产批量以及年最小总成本,改进了经济生产量模型。     

A sequential model for cracking down on street markets for illicit drugs

This paper develops a sequential decision-making model for assisting law enforcement officials in allocating resources during a crackdown operation on illicit drug markets. The sequential crackdown model (SCM) considers a probabilistic framework, where the probability of incarceration of a dealer and the probability of dealing are modeled as a function of the size of a drug market, crackdown enforcement level, drug dealer's financial hardship, and other market characteristics.The model was developed and tested in consultation with enforcement officials from Philadelphia, PA and Camden, NJ. We present a detailed, step-by-step implementation scheme for updating parameters on each day of the crackdown. Parameter estimation along with examples of model usage is provided. Through these examples, we illustrate how the SCM could be helpful in understanding the response of illicit drug markets to various enforcement strategies. We further show conditions under which an alternating crackdown policy (referred to as a crackdown-backoff) or a consistent use of maximum possible enforcement would be optimal strategies for managing a drug crackdown operation. Within the context of the model and parameter estimates, we show that a much quicker and less costly collapse could be implemented if the available enforcement resources are increased. Finally, the model provides possible conditions under which a crackdown operation would be unsuccessful in eliminating a drug market.