基于制造业ERP构建企业多层数据仓库

文章针对目前制造业ERP在决策支持方面的不足,提出了基于制造业ERP构建由标准数据仓库、多维数据库和数据挖掘库等组成的企业多层数据仓库体系框架,阐述了该体系框架的构建方法和过程,并分析了一个应用实例。     

基于合作关系的供应链信息共享模式研究

首先研究了供应链上下游合作伙伴间信息共享博弈情况，并分析了影响信息共享的障碍因素。然后，从合作伙伴合作关系的视角探讨了供成链中合作伙伴的类型及合作目的，最后以此为基础构建出供应链合作伙伴的信息共事模式及技术支撑体系。     

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.     

Localized Innovation and Productivity Growth in Asia: An Intertemporal DEA Approach

Recent contributions to growth theory stress the importance of localized innovation for the performance of more backward countries. In earlier papers, analyses by means of DEA techniques confirmed this intuition. In this paper, we extend this type of analysis by relaxing the macroeconomic viewpoint adopted until now. New databases on output, labor and capital input in the agricultural and manufacturing sectors are developed for 40 countries. Using intertemporal DEA, it is found that changes in the global production frontier are localized at high levels of capital intensity. This result is stronger in agriculture than in manufacturing. Further, a decomposition of labor productivity growth in eight Asian countries for the period 1975–1992 into the effects of capital intensification, learning and innovation is made. The results suggest that there is a particular development path in which increases in capital intensity appear to be a prerequisite to benefit from international technology spillovers.JEL Classification: O14, O30, O40, O47     

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.     

The effect of interfirm dependence structures on governance mechanisms

Despite recent developments regarding the study of interdependence structures, previous research has rarely investigated the simultaneous effect of both interdependence magnitude and interdependence asymmetry on governance mechanisms among exchange parties. A survey of manufacturing companies has been used to test a theory about the interactive effect of buyer dependence and supplier dependence on inter-firm governance. The analysis of the survey supported the proposition that both buyers and suppliers that are highly dependent on each other (high interdependence magnitude and low interdependence asymmetry) may choose to rely on monitoring and the norm of information sharing. However, when a buyer's dependence is low regardless of the supplier's dependence level, the buyer does not rely on the norm of information sharing (buyer's relative interdependence advantage, buyer's relative interdependence disadvantage, and low interdependence magnitude). On the other hand, when the supplier's dependence on the buyer is low, the buyer relies on monitoring regardless of its dependence level (buyer's relative interdependence disadvantage and low interdependence magnitude). However, this study did not empirically measure performance. Further research should be done on the effect of congruence between the governance mechanism and its antecedents on buying performance.     

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.     

浅析供应链牛鞭效应成因及对策

供应链的引入,带来了一些需要急切解决的管理问题,如“牛鞭效应”。本文分别从技术应用层面和经济学层面对牛鞭效应的成因做出分析,并在此基础上有针对性地提出相应缓解对策,通过信息共享,有效地弱化牛鞭效应。最后指出由于供应链的固有特性和参与方的经济性,牛鞭效应难以根本消除。     

How Fast Do Banks Adjust? A Dynamic Model of Labor-Use with an Application to Swedish Banks

This paper deals with a dynamic adjustment process in which adjustment of a key variable input (labor) towards its desired level is modeled in a panel data context. The partial adjustment type model is extended to make the adjustment parameter both firm- and time-specific by specifying it as a function of firm- and time-specific variables. Desired level of labor use is represented by a labor requirement function, which is a function of outputs and other firm-specific variables. The catch-up factor is defined as the ratio of actual to desired level of employment. Productivity growth is then defined in terms of a shift in the desired level of labor use and the change in the catch-up factor. Swedish banking data is used as an application of the above model.     

On the Use of Value Efficiency Analysis and Some Further Developments

The purpose of this paper is to discuss the use of Value Efficiency Analysis (VEA) in efficiency evaluation when preference information is taken into account. Value efficiency analysis is an approach, which applies the ideas developed for Multiple Objective Linear Programming (MOLP) to Data Envelopment Analysis (DEA). Preference information is given through the desirable structure of input- and output-values. The same values can be used for all units under evaluation or the values can be specific for each unit. A decision-maker can specify the input- and output-values subjectively without any support or (s)he can use a multiple criteria support system to assist him/her to find those values on the efficient frontier. The underlying assumption is that the most preferred values maximize the decision-maker's implicitly known value function in a production possibility set or a subset. The purpose of value efficiency analysis is to estimate a need to increase outputs and/or decrease inputs for reaching the indifference contour of the value function at the optimum. In this paper, we briefly review the main ideas in value efficiency analysis and discuss practical aspects related to the use of value efficiency analysis. We also consider some extensions.