基于IAHP的流程重组预警指标体系设计

根据业务流程重组预警的实际需要,结合业务流程重组评价指标,构建了涵盖流程效率、资源利用率、流程成本及顾客满意度四个方面的业务流程重组预警的指标体系。最后用改进的层次分析法(IAHP法),对该指标体系进行了评价,得出了各指标对业务流程重组影响的权重。     

电子产品研制过程的可靠性管理

为建立闭环式可靠性管理,本文从如何确定可靠性参数和指标开始,对如何进行可靠性预计、如何确定定时截尾可靠性鉴定试验方案{T,C}和开展软件可靠性定量评估等方面进行了讨论。     

中国上市公司业绩增长持续性及市场预测

上市公司的业绩增长能力对公司价值具有非常显著的影响,投资者希望找到市场上具有持续稳定成长性的公司。本文考察了公司业绩的增长水平,业绩增长的持续性以及市场对公司业绩增长的预测能力。本文发现公司业绩增长不具有持续性,呈现较大的波动性,投资者无法通过公司历史业绩增长情况预测未来业绩增长。市场对公司的未来业绩增长的预测能力较弱,只能预测大约未来3年时间的业绩增长情况,对更长时间的业绩增长无法预测。这可能与中国股市政策变动频繁,上市公司存在较多利润操纵行为有关。     

Diffusion of Products with Limited Supply and Known Expiration Date

In this paper, we provide a model for diffusion of products, which are available in limited quantity until a known expiration date, after which the unsold products have no value. We consider the case of a performing arts company. The model development is built on the foundation of classical product diffusion model by Bass (1969) and the psychological effect known as the scarcity principle (Cialdini, 1985). Our empirical analysis results show that the proposed model can provide significant improvement in prediction of the products characterized by the scarcity effect.     

面向大规模定制产品成本估算方法的比较研究

本文首先分析了大规模定制企业开发成本估算方法对获得客户定单的重要性,对适用于大规模定制环境下的成本估算方法进行分类,归纳成几种典型的成本估算方法,并对各个方法的特点进行对比分析,提出了大规模定制环境下成本估算发展趋势,最后针对客户定单的获取和成本估算方法开发提出了自己的看法。     

油气管道腐蚀剩余寿命的预测方法

针对管道腐蚀诸多因素的复杂性和不确定性以及管道腐蚀剩余寿命预测的困难性．系统地阐述了在役管道的腐蚀剩余寿命预测方法。评述了灰色预测方法，概率统计方法，人工神经网络方法和可靠度函数分析四种国内外正在研究和使用的方法。这些方法对于管道操作者做出正确的管道检测、维修以及更换决策起到了重要的指导作用。     

毛泽东关于中国革命的科学预见及其重大意义

毛泽东具有高超的科学预见的能力。毛泽东的科学预见能力在于他掌握了社会调查的方法 ,正确地运用对立统一规律和量变到质变的规律 ,以及采取“从群众中来 ,到群众中去”的方法。学习毛泽东关于中国革命的科学预测理论与方法 ,对于处理当今国际国内的各种复杂问题有着十分重要的意义。     

An investigation of transformation-based prediction interval for the Weibull median life

Statistical inference based on the Weibull distribution, a distribution widely used in reliability and survival analysis, is usually difficult as it often involves numerical computation and approximation. However, this distribution can be transformed to near-normality by a simple power transformation. Based on this transformation, a prediction interval (PI) for its median can be easily constructed through an inverse transformation. The procedure for selecting the best power transformation through minimizing Kullback-Leibler information is described. The property of this transformation-based PI is investigated. Simple correction factors are also proposed. It is shown that the transformation-based PI with corrections performs well, irrespective of the sample size and parameter values. Simulation results show that the new PI generally outperforms the existing PI. Numerical examples are given for illustration.     

Gamma-Minimax Prediction for the Multinomial Distribution

Characterizations of gamma-minimax predictors for the linear combinations of the unknown parameter and the random variable having the multinomial distribution under arbitrary squared error loss are established in two situations – when the sample size is fixed and when the sample size is a realization of a random variable. It is always assumed that the available vague prior information about the unknown parameter can be described by a class of priors whose vector of first moments belongs to a suitable convex and compact set. Several known gamma-minimax and minimax results can be obtained from the characterizations derived in the present paper.