基于FANP方法的供应链配送中心评价选择

供应链配送中心的评价选择是供应链管理的重要课题.层次分析法(AHP)只能分析经过大量简化处理的树状结构或者其他理想结构.因此,采用解释结构模型(ISM)建立配送中心评价选择指标体系,用模糊网络分析法(FANP)进行计算分析,对以制造业为主导的供应链配送中心进行评价和选择,不仅考虑了指标的层次关系,也考虑到各层中因素之间的相互关系,解决了对具有网络关系的混合型结构评价指标体系的评价选择问题,克服了层次分析法(AHP)等传统算法的局限,在实际应用中具有很好的效果.     

基于网络层次分析法的汽车售后服务商评价

介绍应用网络层次分析法评价汽车售后服务商。首先建立评价服务站的评价模型,然后根据AHP和ANP量化每个评价因子对评价目标的影响,最后根据评价模型和服务商数据计算出服务站得分。     

基于AHP和熵值法的项目供应商灰色关联评价

结合企业实际应用需求,基于项目管理的理念构建了半导体制造扩建项目系统设备供应商综合评价指标体系,提出了AHP与熵值法组合赋权的供应商灰色关联综合评价方法,结合企业实际项目案例进行了应用,验证了指标体系和评价方法的有效性.     

基于ANP和TOPSIS优化方法的专业性购物网站评价研究

目的针对专业性购物网站设计的评价排序问题,提出一种基于用户体验的评价方法,并对评价结果数据的处理方法进行研究。方法基于用户体验对专业性购物网站建立评价体系,采用优化的层次分析法(AHP),即网络分析法(ANP)对评价体系的权重进行确立,并引入相对熵优化的TOPSIS方法对网站的评价结果数据进行排序。结论通过样例证明,该评价体系考虑全面,数据处理方法稳定,可以确定专业性购物网站设计和改进中需要优先考虑的问题,并有效且正确地反映市场的实际竞争情况。     

企业的场址选择及评价模型

运用模糊数学的原理方法，根据企业的特点，给出了场址选择评价因素指标体系，建立了场址选择的二级模糊综合评价模型，采用层次分析法(AHP)对备选场址进行选择。     

基于“TOPSIS／DEA／AHP”模型的战略性供应商选择

研究了供应链环境下战略性供应商选择的问题.通过分析和总结供应商评价选择的准则、指标和方法,以供应链核心企业选择战略性供应商为目标,提出了战略性供应商评价的指标体系,利用整体DEA有效模型来反映供应商的绩效,利用AHP反映供应链核心企业选择供应商的主观愿望,从而构建了TOPSIS与整体DEA有效相结合的"TOPSIS/DEA/AHP"战略性供应商评价选择模型,并通过实证分析,证实了该模型及方法的可行性.     

基于AHP方法对危化品仓库供应商选取的研究

该文基于对集成电路制造企业所需要使用的危险化学品的相关要素,例如仓库要素、运输要素和成本要素等相关指标建立评价体系。通过运用AHP(层次分析法)建立各相关要素的综合评价的权重值,建立了相关因素下第三方危化品仓库供应商选取的综合评价体系。根据此评价体系在三家潜在的供应商中选出最优供应商的危化品仓库A,既保证了危化品仓库储存的安全,有效地保障了生产,又合理控制了仓库存储和物流运输的成本。     

基于ANP方法的电子商务逆向物流研究

电子商务的成功发展需要逆向物流的支持。本文建立了电子商务的逆向物流概念模型，介绍了第三方物流的运营职能。利用ANP方法建立了第三方逆向物流的评估模型，并通过超级决策软件(SD)与AHP模型进行了对比计算。ANP模型可以帮助管理者从战略、运营水平上对供应商选择进行更为全面的决策。     

基于改进AHP和模糊评价的装备测试性参数选择

针对装备实际工程应用测试性参数多依靠专家经验或行业常规进行选择,导致所选参数适用范围小、随机性大等问题,提出改进的层次分析法(analytical hierarchy process,AHP)和模糊评价相结合的测试性参数选择方法。即依据装备可靠性、维修性和可用性初选出测试性参数,并将使用要求作为测试性参数定性评价指标,采用改进AHP方法计算评价指标因子权重,在此基础上采用模糊评价法计算测试性参数优先度,优选出测试性参数集,从而为测试性指标的制定奠定基础。最后以综合传动装置为例,采用该方法优选出精简的测试性参数集。     

基于遗传算法的协同物流资源选择模式研究

物流资源的选择是协同物流系统中的一个关键问题.对协同物流机制的框架进行了分析,采用层次分析法(AHP)对物流资源进行初步筛选得到协同系统所需的候选资源库,运用基于协同物流网络模型的改进合同网协议方法提出有效的资源选择流程.其中协商过程确定了协同物流系统的运输、仓储等各项基本费率,并通过对协同物流网络模型的求解实现物流任务的聚合与协同.运用遗传算法(GA)找出最优的协同物流资源组合方式,算法结果表明了此方法的有效性.     

A note on the application of the data envelopment analytic hierarchy process for supplier selection

In a very recent paper by Sevkli et al. (Sevkli, M., Koh, S.C.L., Zaim, S., Demirbag, M. and Tatoglu, E., 2007. An application of data envelopment analytic hierarchy process for supplier selection: a case study of BEKO in Turkey. International Journal of Production Research, 45 (9), 1973–2003), the data envelopment analytic hierarchy process (DEAHP) was claimed to outperform the analytic hierarchy process (AHP) method and provide a better decision for supplier selection. This note illustrates the weaknesses of the DEAHP, demonstrating the invalidity of the above claim. The case study of BEKO in Turkey is re-examined and shows that extra verification is needed to come to a decision.     

An integration of a hybrid modified TOPSIS with a PGP model for the supplier selection with interdependent criteria

This paper deals with the supplier selection process when the criteria of selection are not independent. The primary aim is to illustrate that ignoring the interdependencies among these criteria leads to an unrealistic decision. Since supplier selection is a multiple-criteria decision-making (MCDM) process, the general structures of the relative methods are outlined in this paper. The proposed methodology then presents a comprehensive approach to find the best ranking among the alternative suppliers of a typical product. A hybrid modified TOPSIS is integrated with a preemptive goal programming model in this study and then compared to an analytical hierarchy process (AHP) to show the effect of considering interdependencies in the supplier selection process. The results indicate that the proposed methodology provides a higher total value of purchasing (TVP) than AHP while the total cost of purchasing (TCP) of both methods are equal. Empirical proof is offered based on a case study.     

A fuzzy AHP evaluation model for buyer–supplier relationships with the consideration of benefits,opportunities, costs and risks

With increasingly fierce global competition, firms in various industries need to build a cooperative buyer–supplier relationship to survive and to acquire reasonable profit. Even though the literature on various types of collaboration between firms is abundant and the works on supplier selection models are numerous, the research that provides a mathematical model for the selection of the most appropriate form of buyer–supplier relationship is very limited. Existing buyer–supplier evaluation models usually only consider the benefits from the relationship, but not the opportunities, costs and risks that may need to be confronted. The main objective of this study is to propose an analytical approach to evaluate the forms of buyer–supplier relationship between a manufacturer and its supplier. A fuzzy analytic hierarchy process (AHP) model, which applies fuzzy set theory and the benefits, opportunities, costs and risks (BOCR) concept, is constructed to deal with uncertainty and to consider various aspects of alternatives. Multiple factors that affect the success of the relationship are analysed by incorporating experts’ opinions on their priority of importance, and a performance ranking of the buyer–supplier forms is obtained. A case study of selecting the most appropriate buyer–supplier form between a TFT-LCD manufacturer and its colour filter supplier is presented, and the proposed model is applied to facilitate the decision process. The proposed model is a general form that can be tailored and applied by firms that are making decisions on buyer–supplier relationship.     

基于平衡记分卡的供应商评估体系研究

分析了供应链中供应商评估的重要性,基于平衡记分卡评估系统,建立了面向供应链的供应商评估指标体系,并采用模糊层次分析算法进行计算、评估。在平衡记分卡因果关系链的基础上,分析了供应链中不同类型的供应商的评估对平衡记分卡的4个方面的不同权重。     

层次分析法和模糊优先规划法相结合选择虚拟团队成员

分析了虚拟团队成员选择的标准,运用层次分析法和模糊优先规划法相结合的方法探讨了团队成员的选择问题,利用层次分析法确定各种定性因素相对重要性的评价区间,应用模糊优先规划法处理具有定性和定量因素的相对有效性评价及排序问题,并实证分析了成员选择的过程.     

汽车行业物流服务供应商选择ANP模型

分析汽车制造商、零部件供应商、物流服务供应商在汽车供应链中的角色和作用,构建物流服务供应商选择指标体系,系统地考虑各层指标内在联系和相互依赖关系,利用ANP方法建立各层指标非线性组合关系的多指标综合评价决策模型,并结合一个实际算例进行了数值演算和验证,计算结果表明该模型能根据汽车行业物流服务供应商的实际调查数据,有效选择汽车制造企业的物流服务供应商,汽车制造商与物流服务供应商之间的协调适应性是影响最终选择结果的重要因素.     

A distinct decision model for the evaluation and selection of a supplier for a chemical processing industry

The supplier selection process has gained importance recently due to the considerable amount of revenue spent on purchasing. The intention of this work is to develop an appropriate hybrid model by integrating the analytical hierarchy process (AHP) and grey relational analysis (GRA) for supplier evaluation and selection, which comprises three stages. In Stage I, the most influential criteria are selected by mutual-information-based feature selection. Stage II focuses on the determination of the weights of the attributes using AHP, while Stage III is used for the determination of the best supplier using GRA. The proposed model is illustrated using the case study of an electroplating industry to highlight the effectiveness and flexibility of the model. The model effectively combines specialised knowledge, experience and quantitative data to select the best suppliers. This paper presents the model development, solution and application processes of the proposed hybrid model for supplier selection. The decision support software was implemented in Excel to automate supplier selection. The proposed hybrid model is applied to enhance the decision-making process in supplier selection and also helps decision makers to effectively select suppliers.     

Using fuzzy analytic hierarchy process and particle swarm optimisation for balanced and defective supply chain problems considering WEEE/RoHS directives

This research explored problems concerning production and delivery in a green supply chain, and constructed an optimal mathematical model to provide solutions. This model incorporates WEEE and RoHS in EU directives for the selection of green partners when establishing a supply chain. The weight of each component is calculated by fuzzy analytic hierarchy process (fuzzy AHP). Previous studies suggested that a supply chain is a balanced system, however, in actual practice, there may be processing damages or delivering losses. Thus, such a supply chain with production loss is known as a ‘defective supply chain’. This research analysed the defective supply chain system to discuss its supplier selection, production, and distribution. It developed an optimal mathematical model for both balanced and defective models, and adopted particle swarm optimisation (PSO) to obtain solutions for both models. Finally, case studies for both models with quality solutions were discussed to confirm the efficiency and effectiveness of the proposed approach.     

基于网络层次分析方法的物流服务供应链综合绩效评价

在充分考虑物流服务供应链协调的特性和物流服务供应链的服务特性的基础上,设计了物流服务供应链综合绩效评价指标体系。该指标体系由结果层、运作层和战略层3个层次构成,共有7个二级指标和30个三级指标。建立了物流服务供应链绩效评价指标体系网络层次分析ANP模型,并利用Superdecision软件进行评价。算例结果表明,该方法可以克服评价因素之间的相关性,提高了绩效评价的准确性,从而为物流服务供应链绩效提供了一种定量的评价依据。