AHP和TOPSIS在供应商评价与选择中的应用

结合现代企业发展要求及指标体系设置原则,建立了供应商评价指标体系.采用AHP和TOPSIS相结合的方法,提出一种供应商评价与选择模型,并通过实例验证该方法的可行性.供应商评价选择模型的应用使企业能够通过科学、合理的方法对供应商做出评价,为管理人员制定决策提供可靠的依据.     

供应商选择与对策

供应商的评价与选择已成为制造企业提高竞争优势的关键，在评价供应商时，一般从质量、价格和交货期等方面进行考察，但质量要素是首要的。该文从质量的角度出发，探讨了采用动态的（管理图方法）与全局的（损失度法）方法评价供应商问题，具有一定的实用性，为一些企业选择供应商提供了参考。     

企业外购件供应商的选择和评价

本论文主要通过对质量控制技术、质量检验技术理论及方法的研究,从而对企业外购件供应商进行选择和评价。进而在分析供应商评价指标体系所应遵循的原则的基础上,建立了一套供应商评价一般指标体系。最后,将层次分析法的思想和方法引入其中,对供应商评价程序进行验证。     

电子商务企业对物流供应商选择评价的数学模型

文章通过建立针对电子商务企业的物流供应商评价指标体系,基于多属性决策的方法,利用三角模糊数来描述各指标的评价值,并将不同距离进行综合,从而建立合理的物流供应商选择评价数学模型。不仅系统地给出了物流供应商评价指标体系,而且为电子商务企业选择物流供应商提供科学可行的数学模型。     

基于VIKOR混合多属性群决策的供应商选择

为科学决策选择供应商,企业应吸纳有竞争力的供应商参与竞争,通过建立供应商评价指标体系,充分考虑供应商的比较优势,建构科学评价模型进行决策。根据混合多属性群决策的特点,采集混合的主客观评价指标信息,形成了科学的集结与规范化方法;然后运用层次分析法和离差最大化法相结合,确定评价指标权重,构建了VIKOR混合多属性群评价模型;最后以第三方物流供应商选择为算例,形成决策结论。     

基于模糊质量功能展开的服务外包供应商选择的评价模型及应用

服务外包有利于优化产业结构和资源配置, 增强企业核心竞争力. 服务外包供应商的选择评价是服务外包的重要环节. 采用模糊质量功能展开(quality function deployment, QFD)方法建立服务外包供应商选择的评价模型. 首先, 根据服务外包企业的实际需求建立服务外包供应商评价指标体系; 然后, 由发包企业代表对评价指标赋予模糊权重, 由外聘专家对备选供应商与供应商评价指标的相关性进行打分; 最后, 通过模糊加权平均方法和模糊期望值算子计算出备选供应商的最终排名, 从而帮助发包企业进行决策. 通过实例分析说明了该模型的可行性和实用性.     

石化公司供应商评价指标体系的设计原则

供应商的评价选择是供应链管理的基础,供应商选择的科学与否,直接关系到企业的生存与发展,对供应商的评价与选择,对任何企业来说都是一个重要的课题。作为供应商管理的一个有机组成部分,供应商评价的最终目标是为企业服务,使本企业以最低的成本获得最优的产品质量及服务、淘汰不合格的供应商、开发有潜力的供应商、维护供需双方长期稳定的合作关系并与最优秀的供应商建立战略伙伴关系。要对供应链环境下的供应商进行系统全面的评价,必须设计一种完整、科学、全面的综合指标评价指标体系。     

层次分析法在物流服务企业供应商评价中的应用

层次分析法是一种对复杂的多目标系统进行定性定量分析的评价方法。在物流服务企业中,供应商对企业的发展有着至关重要的作用。该文提出了一种基于层次分析法的供应商评价体系,并结合具体情况,通过对某物流服务企业供应商的组织能力、质量控制能力等目标建立评价指标体系,验证了该方法的可行性。也为企业优先选择供应商提供了一条有效的途径。     

全寿命周期管理环境下船舶设备合格供应商的模糊综合评价

以产品全寿命周期管理思想为指导,结合造船企业的具体实践,建立了船舶设备合格供应商评价指标体系,在确定出各评价指标权重的基础上,用模糊综合评价方法对各候选供应商做了综合评价,并进行了实证运算,以实现对合格供应商的科学评价与判断.     

基于供应链管理选择供应商的成本计算法

目前实施SCM的企业在选择供应商时,多采用综合评估的方法,在不同程度上受到评选人员主观因素的影响.供应商的成本计算法基于成本是企业选择供应商需要考虑的最重要因素,根据供应链上的企业对其供应商的要求,分析供应链上产品的实际成本构成包括价格成本、质量成本、库存成本、缺货损失成本和运输成本,并通过定量计算产品的各种成本进而得到其综合成本,据此选择综合成本最低的供应商为合作伙伴.成本计算法为企业选择供应商提供了科学客观、切实可行的方法.通过案例分析表明,运用计算产品成本的方法能够指导供应链企业对供应商进行正确选择.     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.