基于集对分析的第三方物流供应商选择模型

第三方物流在增强企业核心竞争力、提高增值服务水平、降低物流成本、优化内外资源等方面都起着不可替代的作用，但这些作用能否得“充分发挥很大程度上取决于物流供应商的水平和实力，能否选择好第三方物流供应商成为企业业务外包成败的关键。本文借鉴一种新的系统分析理论——集对分析理论对物流供应商进行分析评价。克服了传统选择方法的弊端．能够为企业选择第三方物流供应商提供客观依据。     

风电制造企业物流供应商的选择研究——基于熵权的模糊综合评价法

通过分析风电设备制造企业物流的特点,建立了物流供应商评价指标体系.利用基于熵权的模糊综合评价模型对物流供应商进行评价选择.     

企业选择物流供应商的影响因素模糊评价及优化研究

现阶段企业对物流供应商的管理已成为企业管理中的一种重要的物流管理活动,不同企业选择物流供应商的标准不同,所评价的因素不同。通过构建因素模糊模型,评价企业所看重的选择物流供应商的关键因素,并针对评价的主要因素来对物流供应商进行优化管理,以期望提高交货的及时性和整体的服务水平,来满足企业的需求和提高顾客的满意度。     

基于改进型主成分分析法的食品供应商评价模型研究

根据食品行业的特点建立供应商评价指标体系，利用改进型主成分分析法消除评价指标之间相关影响，减少指标选择的工作量，并通过专家打分及相关的评价指标建立判别模型对备选的供应商进行筛选，然后选择最优的供应商。最后通过实例分析验证了该方法的有效性，对企业选择物流供应商具有一定参考价值。     

移动通信行业物流外包供应商评价模型的实证研究

通过运用层次分析法(AHP)对移动通信行业物流外包供应商评价模型的相应因素进行权重量化,为移动通信企业选择合适的供应商提供数字化定量模型依据。文中选取北京移动通信行业一家公司的典型物流外包项目—账单集中制作全外包服务作为案例,通过运用这一数字化定量模型实现对参评供应商的企业实力进行了评价和选择(即评价因素得分*权重=最终评价),并通过现场考察的方式对中标供应商的效果进行了跟踪评价。     

从交易成本角度评价物流供应商模型探析

物流供应商的的好坏对一个企业的成败起着关键的作用。本文通过理论分析提出基于交易成本的物流供应商评价指标体系,并对所收集数据进行因子分析,对评价指标进行识别及确定其权重,最后建立物流供应商综合评价模型。     

模糊综合评判法在物流服务供应商选择中的应用

分析了影响企业选择评价物流服务供应商的因素,建立了一套较完善的第三方物流服务供应商评价指标体系,运用建立的模糊综合评判模型,对物流服务供应商的选择评价进行了实证分析,结果表明模糊综合评价法可以有效地帮助企业进行供应商的评价与选择。     

模糊综合评判法在物流服务供应商选择中的应用

分析了影响企业选择评价物流服务供应商的因素,建立了一套较完善的第三方物流服务供应商评价指标体系,运用建立的模糊综合评判模型,对物流服务供应商的选择评价进行了实证分析,结果表明模糊综合评价法可以有效地帮助企业进行供应商的评价与选择.     

参与奥运物流竞争的第三方物流企业综合能力评价

奥组委物流部在选择第三方物流供应商时十分谨慎，文章主要根据一般供应商的评价指标归纳出评价选择第三方物流公司所考虑的主要因素．并建立评估模型进行综合评价。     

供应商的选择和管理

供应商对企业的生产和发展起着非常重要的作用。供应商选择和管理是一个很重要的物流决策问题。企业希望通过第三方达成什么目的？企业应本着什么样的宗旨去选择供应商？如何去评价和考核已选定的供应商？对于评价结果不理想或考核业绩较差的供应商又采取什么样的措施？这些都是企业选择供应商时要考虑的问题。根据这些问题，在SWAT分析测定企业当前的物流系统的优点和弱点的基础上，     

Consistency of a nonparametric estimation of a density functional

LetX be a random variable with distribution functionF and density functionf. Let ? and ψ be known measurable functions defined on the real lineR and the closed interval [0, 1], respectively. This paper proposes a smooth nonparametric estimate of the density functional \(\theta = \int\limits_R \phi (x) \psi \left[ {F (x)} \right]f^2 (x) dx\) based on a random sampleX ₁, ...,X _n fromF using a kernel functionk. The proposed estimate is given by \(\hat \theta = (n^2 a_n )^{ - 1} \mathop \sum \limits_{i = 1}^n \mathop \sum \limits_{j = 1}^n \phi (X_i ) \psi \left[ {\hat F (X_i )} \right]k\left[ {(X_i - X_j )/a_n } \right]\) , where \(\hat F(x) = n^{ - 1} \mathop \sum \limits_{i = 1}^n K\left[ {(x - X_i )/a_n } \right]\) with \(K (w) = \int\limits_{ - \infty }^w {k (u) } du\) . The estimate \(\hat \theta \) is shown to be consistent both in the weak and strong sense and is used to estimate the asymptotic relative efficiency of various nonparametric tests, with particular reference to those using the Chernoff-Savage statistic.     

Existence of a convex extension of a preference relation

In this paper we say that a preference (i.e. irreflexive) relationP isregular (or aweak order) if both it and its non-comparability relation are transitive; we also say that a preference relationP ^* is aconvex extension of another preference relationP ifP?P ^* holds andP ^* is regular and convex-valued. We prove that a convex extension ofP exists if and only if every non-empty and finite set of alternativesA is not included in the convex hull of ∪ _x∈A P(x).     

Calculating Cumulants of a Taylor Expansion of a Multivariate Function

A method, which we believe is simpler and more transparent than the one due to McCullagh (1984) , is described for obtaining the cumulants of a scalar multivariate stochastic Taylor expansion. Its generalisation is also suggested. An important feature, previously not reported, is that the expansion of every cumulant of order ≥ 2 is made up of separate subseries.
In order to handle certain frequently occurring sums over permutations of members of compound index sets, we introduce a new notation  [ m ]_*,  where   m   is a positive integer.     

Simulation of a blood-inventory-bank system in a hospital

A blood-bank inventory system has been analysed viewing it as an inventory-hank system where the demand forecasting forms a part of the inventory model. A simulation model incorporating the “desired-beginning-inventory-level” policy has been used for the analysis of system-performance. Optimal inventory policy-guidelines have been suggested for a hospital blood-bank using blood shortage and blood out-dating as the two important components of the measure of effectiveness. Numerical results have been given.     

一个人和一本杂志的奇迹

曾经接近倒闭的台湾《商业周刊》在俞国定手中奇迹般地成为今天台湾业界发行量、广告额排名第一的杂志。他掌握了媒体成功的秘笈了吗?     

Developing a Continuous Space Representation of a Simulated Population

Abstract

Spatial microsimulation models typically match census of population data with survey data in order to simulate synthetic populations of individuals and households within small-scale geographic areas. For most spatial microsimulation applications this level of spatial precision is satisfactory. For others, more precise information on the location of simulated units may be required. To this end this paper develops a continuous space representation of a simulated population. It presents a statistical matching approach for assigning simulated households from a spatial microsimulation model to unique spatially-referenced residential locations. The allocation is based on a random assignment after splitting the simulated households into two groups: those predicted to reside in apartments and those predicted to reside in houses. The resulting ‘geohouseholds’ have a range of potential applications in economic and spatial analysis.

Création d'une représentation spatiale continue d'une population stimulée

Résumé Les modèles de microsimulation spatiale assortissent généralement les données de recensement de la population à des données de sondages, afin de simuler des populations synthétiques de particuliers et de foyers au sein de régions géographiques à échelle restreinte. Dans la plupart des applications de microsimulation spatiale, ce niveau de précision spatiale est satisfaisant. Dans d'autres, des informations plus précises sur l'emplacement d'unités simulées pourront s'avérer nécessaires. A cette fin, la présente communication crée une représentation spatiale continue d'une population simulée. Elle présente une méthode de correspondance statistique permettant d'affecter des foyers simulés, issus d'un modèle de microsimulation spatiale à des lieux résidentiels unique à référence spatiale. Cette allocation est basée sur une affectation aléatoire après la subdivision des foyers simulés en deux groupes : ceux dont on prévoit qu'ils résideront en appartement, et ceux dont on prévoit qu'ils résideront dans un maison. Les « géofoyers » résultants présentent toute une série d'applications potentielles pour les analyses économiques et spatiales.

Desarrollo de una representación espacial continua de una población simulada

Extracto Típicamente, los modelos de microsimulación espacial emparejan el censo de datos de la población con datos de encuestas, con objeto de simular poblaciones sintéticas de individuos y hogares dentro de áreas geográficas a pequeña escala. Para la mayoría de las aplicaciones de microsimulación espacial este nivel de precisión espacial es satisfactorio. Para otras, podría requerirse información más precisa sobre la ubicación de unidades simuladas. Con este objetivo, este trabajo desarrolla la representación espacial continua de una población simulada. Presenta un planteamiento de emparejamiento estadístico para asignar hogares simulados procedentes de un modelo de microsimulación espacial a ubicaciones residenciales únicas referenciadas espacialmente. La colocación se basa en una asignación al azar después de dividir los hogares simulados en dos grupos: los que se predice que residirán en apartamentos y los que se predice que residirán en casas. Los ‘geohogares’ resultantes ofrecen una gama de aplicaciones en potencia en el análisis económico y espacial.

     

Graphical Analysis of Capability of a Process Producing a Product Family

Statistical techniques are effective and powerful means of quantifying the variability of processes, analyzing this variability with reference to product requirements, and eliminating this variability in product manufacturing. Many process capability indices have been effectively and widely used to determine whether the quality of a process meets preset targets. However, conventional process capability indices cannot be applied to assess the entire process capability of a product family with nominal-the-best specifications. This work presents a novel process capability index (C_pp^T), which takes into account all family members. The index C_pp is a simple transformation from index C_pm, and C_pp^T provides additional, individual information concerning the accuracy and precision of a process. Vännman’s (δ, γ)-plot [Vännman and Deleryd, Quality and Reliability Engineering International 15(3): 213–217 (1999)] is revised to compare the process capabilities of family members under both 100% inspection and sampling plans. Examples are provided to demonstrate the method’s practical application.     

On a two-step estimation of a multivariate logit model

In this article the author studies the properties of the two-step estimation method proposed by Domencich and McFadden (Urban Travel Demand, North-Holland, 1975) for a multivariate logit model and shows that it is consistent but asymptotically less efficient than the maximum likelihood estimator. Its computation, however, can be considerably simpler than that of the maximum likelihood estimator, especially in models involving several dependent variables.