Longitudinal Analysis of Inhibitors of Manufacturer Delivery Performance

This article examines demand, manufacturing, and supply factors proposed to inhibit manufacturer delivery execution. Extant research proposes many factors expected to harm delivery performance. Prior cross‐sectional empirical research examines such factors at the plant level, generally finding factors arising from dynamic complexity to be significant, but factors arising from detail complexity to be insignificant. Little empirical research examines the factors using product‐level operating data, which arguably makes more sense for analyzing how supply chain complexity factors inhibit delivery. For purposes of research triangulation, we use longitudinal product‐level data from MRP systems to examine whether the factors inhibit internal manufacturing on time job rates and three customer‐oriented measures of delivery performance: product line item fill rates, average delivery lead times, and average tardiness. Our econometric models pool product line item data across division plants and within distinct product families, using a proprietary monthly dataset on over 100 product line items from the environmental controls manufacturing division of a Fortune 100 conglomerate. The data summarize customer ordering events of over 900 customers and supply chain activities of over 80 suppliers. The study contributes academically by finding significant detail complexity inhibitors of delivery that prior studies found insignificant. The findings demonstrate the need for empirical research using data disaggregated below the plant‐level unit of analysis, as they illustrate how some factors previously found insignificant indeed are significant when considered at the product‐level unit of analysis. Managers can use the findings to understand better which drivers and inhibitors of delivery performance are important.     

基于DEA模型的高校社会服务绩效研究——以杭州市高校为例

运用一种多指标输入/输出复杂系统的相对有效性评价方法——数据包络（DEA）法对杭州市高校社会服务绩效进行评价,并根据评价结果分析存在的问题及提出相应的解决措施。最后通过实例说明DEA是高校社会服务的绩效评价的有效方法之一。     

烟草商业企业数字仓库的基本流程与系统功能设计研究

数字仓库的应用将协助企业保证供应、压缩库存、提高货物周转效率、节约成本。本文介绍了数字仓库的概念,研究了烟草商业企业数字仓库的基本流程与系统功能结构与设计,并对数字仓库的效益进行了评价。对这些问题的深入研究将有利于提高烟草商业企业的物流水平和服务效率。     

能源与环境设计先导评价标准约束下的景观设计——以成都万国数据中心景观设计为例

美国绿色建筑委员会（USGBC）的国家标准LEED认证是目前国际上最具影响力的绿色建筑评估体系之一。本研究以成都万国数据中心的景观设计为例,结合地域文化提炼的设计理念,与建筑设计充分的融合并延续风格,在LEED认证下的景观设计遵循场地可持续发展理念,在设计与建设过程运用新材料、新方法以及新的管理和许可规程;设计以植被为主,防止热岛效应。雨洪利用借鉴北京奥林匹克公园＂下渗为主,适当回收;先下渗净化,再回收利用＂设计,合理拦蓄雨水资源,并科学利用绿色电力和可再生能源。     

Super-efficiency based on a modified directional distance function

The problem of infeasibility arises in conventional radial super-efficiency data envelopment analysis (DEA) models under variable returns to scale (VRS). To tackle this issue, a Nerlove–Luenberger (N–L) measure of super-efficiency is developed based on a directional distance function. Although this N–L super-efficiency model does not suffer infeasibility problem as in the conventional radial super-efficiency DEA models, it can produce an infeasible solution in two special situations. The current paper proposes to modify the directional distance function by selecting proper feasible reference bundles so that the resulting N–L measure of super-efficiency is always feasible. As a result, our modified VRS super-efficiency model successfully addresses the infeasibility issues occurring either in conventional VRS models or the N–L super-efficiency model. Numerical examples are used to demonstrate our approach and compare results obtained from various super-efficiency measures.     

A slacks-based measure of super-efficiency in data envelopment analysis: An alternative approach

The current paper proposes a slack-based version of the Super SBM, which is an alternative super-efficiency model for the SBM proposed by Tone. Our two-stage approach provides the same super-efficiency score as that obtained by the Super SBM model when the evaluated DMU is efficient and yields the same efficiency score as that obtained by the SBM model when the evaluated DMU is inefficient. The projection identified by the Super SBM model may not be strongly Pareto efficient; however, the projection identified from our approach is strongly Pareto efficient.     

Returns to scale vs. damages to scale in data envelopment analysis: An impact of U.S. clean air act on coal-fired power plants

This study proposes a use of Data Envelopment Analysis (DEA) to measure Returns to Scale (RTS) of US coal-fired power plants. The power plants produce not only desirable outputs (e.g., electricity) but also undesirable outputs (e.g., CO₂ and NO_x) as a result of their plant operations. Therefore, the proposed use of DEA also measures a new concept, or “DTS: Damages to Scale” (corresponding to RTS for undesirable outputs). Both scale measures discussed in this study are a quick-and-easy approach for assessing RTS and DTS, but not an exact method, because it does not consider a direct linkage between the two measures. This study applies the proposed approach to examine the legal validity of U.S. Clean Air Act (CAA). We find that the CAA has been legally effective and influential on the operation of coal-fired power plants in the United States because their plant operations belong to increasing RTS on a desirable output and increasing DTS on three undesirable outputs. The increasing DTS indicates a need for managerial improvement and/or engineering innovation such as advanced clean coal technology. This empirical result implies that U.S. federal and state governments need to expand the legal scope of CAA to the emission control of CO₂ because the current CAA excludes the regulation on CO₂ emission that is now considered as a main source of the global warming and climate change.     

数据挖掘在客户关系管理中的应用研究

客户关系管理和数据挖掘都是近几年发展起来的新兴学科,对现代企业的发展有着举足轻重的作用。介绍了客户关系管理的理念及用于客户关系管理的数据挖掘方法,分析了数据挖掘技术在客户关系管理中的应用,提出了应用中应注意的问题。     

中国工业全要素生产率地区差异分析——基于支撑面板数据计量模型的研究

以全要素生产率为研究对象,以其在中国各区域工业发展差异中的作用为研究起点,基于数据包络分析的Malmquist生产率指数方法,使用相关的Panel Data计量经济学方法对1978-2006年间中国工业全要素生产率区域差异成因进行了应用研究.