有机硅产业群的形成及其启示

本文首先对产业集群研究的历史进行了回顾 ,列举了产业集群促进区域经济发展的若干实例。通过对江西星火工业园有机硅产业集群案例的实证分析揭示了产业集群的形成因素 ,探讨了地方政府在集群规划中的作用 ,并提出了地方政府应该采取的若干对策     

C中易出错的若干问题

分析了C语言编程中存在的若干问题 ,并指明了原因 ,给出了解决方法。     

线性规划中的灵敏度分析

考虑了线性规划模型中的灵敏度分析，解决了当约束条件减少时，最优解如何变化的问题。     

Testing for Stochastic Dominance Efficiency

We consider consistent tests for stochastic dominance efficiency at any order of a given portfolio with respect to all possible portfolios constructed from a set of assets. We justify block bootstrap approaches to achieve valid inference in a time series setting. The test statistics are computed using linear and mixed integer programming formulations. Monte Carlo results show that the bootstrap procedure performs well in finite samples. The empirical application reveals that the Fama and French market portfolio is first and second-order stochastic dominance efficient, although it is mean–variance inefficient.     

An application of the integrated AHP-PGP model for performance measurement of supply chain management

The performance measurement problem has gained great attention in business and operations management literature. The first objective of this study is to determine the required performance measures and to develop a model for performance evaluation, based on these selected measures using analytical hierarchy process (AHP) methodology. The second objective is to explain how an integrated AHP-PGP (pre-emptive goal programming) model can be used in performance measurement while optimising the overall performance. An integration of AHP and multi-objective PGP is used to consider both quantitative and qualitative performance measures in optimising the overall performance of the system. The integrated model is presented with a real-world application using source data provided by a survey conducted in India. Findings demonstrate that the integrated AHP-PGP model can be useful to all supply chain industries in their day-to-day performance measurement decisions.     

Forecasting lead times with economic data

Procurement lead time estimates are critical factors in production planning; however, they are generally based on a buyer's experience. The Westinghouse Corporation developed a linear model which successfully predicted procurement lead times for hot and cold rolled steel. This paper discusses nine models which use utilization and inventory data to predict lead time planning factors for aluminum, magnesium, steel and titanium products. The Lockheed-Georgia Company, which produces aerospace products, provided data for this research. The functional form of the models is significant and suggests that a nonlinear transformation of utilization based upon simple queueing models is a significant predictor of lead time duration.     

Combinatoric classification of multivariate normal variates

Consider classifying an n × I observation vector as coming from one of two multivariate normal distributions which differ both in mean vectors and covariance matrices. A class of dis-crimination rules based upon n independent univariate discrim-inate functions is developed yielding exact misclassification probabilities when the population parameters are known. An efficient search of this class to select the procedure with minimum expected misclassification is made by employing an algorithm of the implicit enumeration type used in integer programming. The procedure is applied to the classification of male twins as either monozygotic or dizygotic.     

模糊条件下企业联盟和集团最优组建成本

将企业联盟和企业集团的组建过程分解为四个阶段,建立了其组建成本的数学模型;给出了企业联盟和企业集团在确定性情况下组建成本的模型,并将其扩展为适合于实际情况的组建成本模糊模型,即对该组建成本模型中与时间因素相关的各参数模糊化,再用模糊优化和非线性规划技术对该问题求解,得到不同组建阶段的最优时间分配,其方法对企业选择相应的发展战略有参考意义。     

代价敏感的GEP分类算法实现

在数据挖掘领域中,通常以分类精度作为分类算法效果的评估标准。这一标准是建立在假设任意一实例被误分类为任意类时都具备同样代价的基础上的。当此假设不成立时,直接使用传统分类方法就无法取得良好的分类和预测效果。针对这一问题,通过改进编解码方法以及在适应度函数中集成样本的不同误分类代价,提出了一种基于基因表达式程序设计的代价敏感分类算法(CSC-GEP),并在三个UCI数据集上对该算法进行了测试,实验结果表明CSC-GEP是一种有效的代价敏感分类算法。     

集成化供应链绩效评价方法研究

提出了一种基于客户服务水平的集成化供应链绩效评价的区间数线性规划方法。通过引入系数a,将区间数线性规划问题转化为参数线性规划问题,使评价方法能够反映实现客户服务承诺效用的大小,其评价过程更具柔性,并通过实例分析了该方法的应用效果。研究结果表明,多客户服务是企业所在的供应链之间竞争的焦点,处于集成化供应链响应市场需求的关键环节,而基于客户服务水平的集成化供应链绩效评价能较准确地反映供应链整体绩效,具有重要的参考价值。