配送中心建设的若干问题研究

从配送中心的布局与选址、配送中心的规模设计、配送中心设施的建设、配送中心信息系统的设计、配送中心政策环境的建设等方面.对配送中心的合理建设进行了深入的研究与探讨。     

构建新的商品流通体系：物流配送中心的发展与思考

本文通过论述配送中心特有的社会经济价值,指出在我国建设配送中心是大势所趋,配送中心在我国必将得到迅猛发展,在此基础上简要分析了配送中心在其发展建设过程中所存在的主要问题,并着重阐述了目前较为成熟的两种配送中心的运作模式及各自的最佳适应范围。根据配送中心目前的发展建设情况及相关理论分析,提出大型企业集团自建的配送中心社会化的专业配送中心、以优势互补、资源共享为目的而建立的共同化配送中心将是我国配送中心发展的主要趋势。     

构建新的商品流通体系：物流配送中心的发展与思考

通过论述配送中心特有的社会经济价值，简要分析配送中心在其发展建设过程中所存在的主要问题，并着重阐述了目前较为成熟的两种配送中心的运作模式及各自的最佳适用范围。根据配送中心目前的发展建设情况及相关理论分析，提出大型企业集团自建的配送中心、社会化的专业配送中心以优势互补、资源共享为目的而建立的共同化配送中心将是我国配送中心发展的主要趋势。     

基于配送中心合理选址问题研究

物流配送中心选址是否合理,对物流中心的功能发挥与整体的经营效益会带来很大的影响。在从配送中心整体规划设计的基础上,对配送中心的选址问题进行深入的研究。首先阐述配送中心的作用及重要性引出配送中心合理选址的关键;其次从配送中心选址的方法着手进一步分析选址要求;最后根据当今经济的发展阐述配送中心选址的发展趋势。     

自有配送还是第三方配送？

近年来中外零售商之间的竞争加剧并进入新的层面。这种竞争不仅仅体现在超市日常业务经营方面。还体现在企业物流的管理和运作上。以沃尔玛公司为例,其配送中心设置服务功能,是根据全国跨地区网点和购物广场、山姆会员店等业态特点,设为“干货”配送中心、食品配送中心、山姆会员店配送中心、服装配送中心、进口商品配送中心、退货配送中心。     

配送中心区域布置及评价方法的研究

根据配送中心物料搬运的特点，提出了一种基于流量流向图的配送中心区域布置方法；针对配送中心的若干布置方案，引入基于作业次数的当量物流强度概念，建立了基于作业成本的配送中心方案评价模型；以某医药配送中心为例，对配送中心区域布置方法和评价模型进行了验证。     

连锁经营企业构建虚拟配送中心的探讨

在连锁经营企业中,物流配送是其能够保持正常运作的核心.本文分析了配送中心在连锁经营企业中的作用,探讨了目前我国连锁经营企业多个配送中心并存情况下引发的问题,在此基础上提出了虚拟配送中心的概念,并具体分析了虚拟配送中心在连锁经营配送中的优点,进而得出虚拟配送中心是连锁经营企业配送中心未来的发展趋势.     

配送中心选址的定量研究

配送中心的总体规划，就是从空间和实践上，对配送中心的新建，改造和扩建进行全面系统的规划。配送中心选址就是在一个具有若干需求点的经济区域内，选一个地址设置配送中心。本文通过两个不同方法数学模型的建立定量地分析配送中心的选址。从而得出较佳的配送中心选址方案，使商品通过配送中心的汇集、中转、分发，直至发输送到需求点的全过程的效益最好。     

基于Zigbee和语音识别技术的智能仓库拣选系统

一、概述在物流配送中心的各项内部作业中,拣货作业是一项重要且繁琐的工作。目前绝大多数的配送中心仍属于劳力密集型产业,订单的拣选过程是配送中心所有作业中最费力的,其劳动量占配送中心所有作业量的60%,且拣选作业时间占整个配送中心作业时间的比例为30%-40%,是左右配送中心生产率的重要环节,对配送中心运作效率具有决定性的影响。     

配送中心建设对我国钢铁企业发展的影响

文章介绍了配送中心的类型和功能。通过比较发达国家配送中心的发展模式,对我国钢铁企业配送中心的发展现状进行了分析．从而提出我国钢铁企业配送中心建设的原则和存在的问题,由此来说明配送中心建设对我国钢铁企业发展的重要作用。     

A bootstrap-assisted spectral test of white noise under unknown dependence

To test for the white noise null hypothesis, we study the Cramér-von Mises test statistic that is based on the sample spectral distribution function. Since the critical values of the test statistic are difficult to obtain, we propose a blockwise wild bootstrap procedure to approximate its asymptotic null distribution. Using a Hilbert space approach, we establish the weak convergence of the difference between the sample spectral distribution function and the true spectral distribution function, as well as the consistency of bootstrap approximation under mild assumptions. Finite sample results from a simulation study and an empirical data analysis are also reported.     

The empirical distribution function as a tail estimator

It is shown that the empirical distribution function performs well in tail estimation. Consistency as well as the relative error are considered. The results hold true without any condition on the theoretical distribution function.     

配送中心管理信息系统业务流程分析研究

本文通过分析物流配送中心的作业流程；探讨了配送中心管理信息系统的业务流程及各主要功能模块间的关联关系。     

物流金融服务分销渠道问题研究

利用营销管理理论中的分销渠道原理对物流金融服务分销渠道问题进行系统研究,把握物流金融服务分销渠道的内涵、功能,分析物流金融服务分销方法,考察物流金融服务分销的传统渠道和基于现代信息技术的新兴渠道方法,以方便客户在合适的时间、合适的地点方便地购买使用物流金融产品。     

A new bivariate distribution in natural exponential family

We propose a new bivariate distribution following a GLM form i.e., natural exponential family given the constantly correlated covariance matrix. The proposed distribution can represent an independent bivariate gamma distribution as a special case. In order to derive the distribution we utilize an integrating factor method to satisfy the integrability condition of the quasi-score function. The derived distribution becomes a mixture of discrete and absolute continuous distributions. The proposal of our new bivariate distribution will make it possible to develop some bivariate generalized linear models. Further the discrete correlated bivariate distribution will also arise from an independent bivariate Poisson mass function by compounding our proposed distribution (Iwasaki and Tsubaki, 2002).Received March 2003     

Semi-nonparametric estimation of independently and identically repeated first-price auctions via an integrated simulated moments method

In this paper we propose to estimate the value distribution of independently and identically repeated first-price auctions directly via a semi-nonparametric integrated simulated moments sieve approach. Given a candidate value distribution function in a sieve space, we simulate bids according to the equilibrium bid function involved. We take the difference of the empirical characteristic functions of the actual and simulated bids as the moment function. The objective function is then the integral of the squared moment function over an interval. Minimizing this integral to the distribution functions in the sieve space involved and letting the sieve order increase to infinity with the sample size then yields a uniformly consistent semi-nonparametric estimator of the actual value distribution. Also, we propose an integrated moment test for the validity of the first-price auction model, and an data-driven method for the choice of the sieve order. Finally, we conduct a few numerical experiments to check the performance of our approach.     

Bounds for median and 50 percetage point of binomial and negative binomial distribution

Inequalities for comparing the binomial distribution function/operating characteristic function with value 0.5 have been established long ago. It is a trivial task to infer from these inequalities bounds for the 50 percentage point of the binomial operating characteristic function. However, it is also possible to use these inequalities to establish good bounds for the median of the binomial distribution function. By a relation of binomial distribution function/operating characteristic function and negative binomial distribution function/operating characteristic function we can get bounds for the respective parameters of negative binomial distribution, too.     

A Measure of Representativeness of a Sample for Inferential Purposes

After defining the concept of representativeness of a random sample, the author proposes a measure of how much the observed sample represents its parent distribution. This measure is called Representativeness Index. The same measure, seen as a function of a sample and of a distribution, will be called Representativeness Function. For a given sample it provides the value of the index for the different distributions under examination, and for a given distribution it provides a measure of the representativeness of its possible samples. Such Representativeness Function can be used in an inferential framework just as the likelihood function, since it gives to any distribution the "experimental support" provided by the observed sample. This measure is distribution-free and it is shown to be a transformation of the wellknown Cramér–von Mises statistic. By using the properties of that statistic, criteria for providing set estimators and tests of hypotheses are introduced. The utilization of the representativeness function in many standard statistical problems is outlined through examples. The quality of the inferential decisions can be assessed with the usual techniques (MSE, power function, coverage probabilities). The most interesting examples turn out to be those of situations that are "non-regular", as for instance the estimation of parameters involved in the support of the parent distribution, or less explored (model choice).     

Combining kernel estimators in the uniform deconvolution problem

We construct a density estimator and an estimator of the distribution function in the uniform deconvolution model. The estimators are based on inversion formulas and kernel estimators of the density of the observations and its derivative. Initially the inversions yield two different estimators of the density and two estimators of the distribution function. We construct asymptotically optimal convex combinations of these two estimators. We also derive pointwise asymptotic normality of the resulting estimators, the pointwise asymptotic biases and an expansion of the mean integrated squared error of the density estimator. It turns out that the pointwise limit distribution of the density estimator is the same as the pointwise limit distribution of the density estimator introduced by Groeneboom and Jongbloed (Neerlandica, 57, 2003, 136), a kernel smoothed nonparametric maximum likelihood estimator of the distribution function.     

计时工资函数与最优工资定价模型

本文运用微观经济学中效用函数的理论,讨论了雇员工资函数的分析性表达式,并给出了一个满足所给条件的数学描述。然后应用X2分布描述了加班时实际工作时间的分布,得出了工资产出效率,以此作为工资定价的评价标准,导出了最优工资定价方案满足的优化模型。本文的结论对于制定合理的工资政策,提高资金的使用效率有较大的指导意义。