基于作业成本法的供应商选择方法

供应商的选择是供应链管理中开发供应商伙伴关系的一项重要内容。本文在现有文献的基础上对供应商选择模型进行了改进，建立一个供应商选择混合整数规划模型，在模型中考虑每个潜在供应商的生产能力约束。供应商的选择与评价过程在本质上是多目标的，本文采用作业成本法计算由供应商引起的各种成本，由于作业成本法能将供应商在质量、价格、配送水平等各方面所引发的多个成本归结为单个成本，使得多目标的供应商选择问题变为单目标问题,从而增加了供应商选择过程的客观性。     

基于DSmT的供应商绩效评价方法研究

针对供应商绩效评价这一不确定多属性决策问题,运用DSmT方法建立一个多属性融合模型。在DSmT框架下,首先将各指标对供应商的评价转化为各指标对供应商的置信指派,然后结合指标重要度对其进行折扣,随即将各指标评价结果融合为最终评价结果。结合算例说明了方法的有效性。     

基于多粒度二元语义的供应商选择方法

供应商选择是一个多属性决策问题,既包括定性的因素也包括定量的因素。把成本、质量、服务水平、供应商的能力和外部因素作为供应商选择的标准,并将基于多粒度二元语义信息处理的群决策方法应用于供应商的选择,给出了基于二元语义信息处理的群决策的步骤,最后给出了一个算例。     

汽车零部件供应商选择方法应用研究

零部件采购是汽车制造企业供应链管理的重要环节,而供应商的选择是供应链管理的基础。文中将多属性决策理论中的改进TOPSIS法和熵值法的评价优势相结合,引入到汽车零部件供应商选择中来,并以具体的案例说明基于熵值法的改进TOPSIS法是一个可靠、有效且可以持续改善的汽车零部件供应商评价模型,为企业进行供应商选择、管理、监督、改善等活动提供更为有力的依据。     

浅议物资采购中供应商管理措施

在企业的生产经营过程中采购具有至关重要的作用,它密切联系着企业的资金和实物,是企业运行过程中不可缺少的重要组成部分。对供应商进行选择的过程,在本质上就是对采购渠道进行确定的过程。在企业的采购业务中起着非常重要的作用,甚至可以说,企业要想获得长远的发展就必须选择合适的供应商。笔者在此主要分析我国目前存在于企业物资采购中供应商管理的主要问题,并提出自己的建议,以期不断完善供应商的管理制度。     

基于粗糙集贝叶斯分类的供应商评价研究

文章采用数据挖掘中粗糙集和朴素贝叶斯分类结合的方法,对供应商评价指标信息属性冗余的问题进行分析,约简信息属性,提出一种新的供应商评价方法。并应用于某企业的供应商数据中,进行分析和验证。     

基于DANP的供应商灰色关联分析选择评价研究

施工建设项目中供应商的评价与选择对项目的建设和施工有着重大的影响,很大程度上供应商的合格与否能决定建设项目的成败.为了科学评价和选择物资或工程施工供应商,本文提出了基于灰色关联分析结合DANP算法的供应商评估选择模型.在第一步中,本文采用根据基于TOPSIS方法对评价指标做定性分类评价,得到初始矩阵.第二步,然后使用DANP方法得到多属性的初始影响矩阵,并计算出各指标的稳定权重矩阵.第三步,利用灰色关联分析算法综合各种属性,对各个供应商的综合评分进行评价,确定评价转化矩阵,然后根据各指标值的权重结合矩阵评分对各个供应商进行排序,从而得出符合要求的建设施工供应商或物资供应商.     

第三方物流企业优选的混合多属性决策方法研究

在分析研究的基础上，将第三方物流服务企业选择问题归结为一类典型具有多类评价信息的多属性决策问题，据此提出根据多类评价信息对备选第三方物流企业进行综合排序，为企业选择物流合作伙伴提供参考依据。文中实例分析说明，该方法在进行第三方物流供应商的选择上是可行有效的。     

供应链中最优供应商选择分析

现代企业的竞争已不是企业与企业之间的竞争,而是供应链与供应链之间的竞争。如何建立富有竞争力的供应链,一个关键的问题是供应商的选择。在多个供应商中选择出最优的合作伙伴,属于多目标决策的问题。多目标决策实质上是在各种目标之间和各种限制之间求得一种合理的妥协,这就是多目标最优化的过程．将层次分析法运用在最优供应商的选择上,以期得到简单而又科学的决策。     

基于模糊组合权的模糊TOPSIS方法在供应商选择中的应用研究

供应商的选择在供应链管理中是很重要环节,供应商选择的成功与否将直接影响到整个供应链的竞争优势,故有必要对供应商选择进行深入研究。本文将已有的模糊组合权方法和模糊TOPSIS方法相结合,提出一种基于模糊组合权的模糊TOPSIS方法,并将其应用于供应商的选择研究中。文章首先总结已有的相关研究结果,给出供应商评价的准则,接着介绍三角模糊数的相关理论,推出模糊组合权及模糊TOPSIS的算法步骤,最后通过一个算例验证方法的可行性。     

Sustainable Supplier Selection in Megaprojects: Grey Ordinal Priority Approach

Due to mounting environmental and social challenges, supplier selection has become one of the most critical tasks of project-oriented organizations. Because supplier selection can affect the long-term success and profitability of the organizations and their projects, directly, embracing sustainability can add value in the equation. Considering sustainability measures can positively guide project managers in making better decisions for the projects in the long term. Therefore, the current study attempts to provide a conceptual model for selecting the best supplier based on a sustainability framework in megaprojects. Meanwhile, decision-making methods can be employed as a proper tool to find the best supplier. Ordinal priority approach (OPA) is a recent development in multiple criteria decision making (MCDM), while it has many benefits compared with other methods like analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS). However, this method cannot consider multiple ranks during the decision-making process, and using an uncertainty approach feels strongly. Grey systems theory (GST) can consider uncertainties with no need for large sample or proposing membership function. Hence, the current study employed the GST to consider multiple ranks for criteria and alternatives in the OPA method. This is the first time that a sustainable supplier selection framework has been presented for megaprojects with the aid of the Grey OPA (OPA-G) method. Finally, a case study has been examined to evaluate the performance of the proposed approach. The results show that the proposed approach can be used in real-world situations and it has acceptable performance under uncertainty conditions.     

Supplier selection using a multi-criteria decision aid method

An ever-increasing trend in today's industrial firms is to exploit outsourcing for those products and activities deemed to be outside the company's core business. Given the financial importance and the multi-objective nature of supplier selection decision, in this paper an effort is made to highlight those aspects that are crucial to process qualitative and quantitative performance measures. In this paper, the contribution of a multi-criteria decision aid method ( ) to such problems is investigated, together with how to allow for a simultaneous change of the weights (importance of performance criteria), generating results that can be easily analysed statistically, performing an innovative sensitivity analysis. By way of example, the model is applied to a mid-sized Italian firm operating in the field of public road and rail transportation. The whole suppliers selection model presented ( techniques plus high-dimensional sensitivity analysis) seems to be a useful additional tool inside the final choice phase of a supplier selection process. Finally, potential issues for future research are presented.     

Practice and promise of formal supplier selection: a study of four empirical cases

In this paper an experimental study of formal decision-making models for supplier selection is described. Attention is paid to all phases of the supplier selection process: the recognition of the need for a new supplier, the formulation of decision criteria, the qualification of suitable candidates and final selection. It appears from the experiments that formal decision models may prove to be useful in various ways throughout the whole supplier selection process and in different purchasing situations.     

供应商选择决策——集成化管理软件ERP系统供应商选择

供应商选择是采购管理中的重要部分，本文讨论供应商选择的决策方法。特别对集成化管理软件ＥＲＰ的供应商选择决策作了深入的讨论。最后，给出了供应商选择决策的今后研究方向。     

基于Vague综合评判的供应商选择研究

供应商的选择在供应管理中有着举足轻重的地位，它直接决定了整个链条的竞争能力，于是选择合适的供应商就成了现代企业发展战略的一个重要组成部分?只有在科学的评价指标体系和评价方法的指导下，企业才能做出科学合理的决策。为此，我们给出了一个选择供应商的指标评价体系和评价方法——利用Vague综合评判。     

Global supplier selection using fuzzy analytic hierarchy process and fuzzy goal programming

Global supplier selection is a multi-goal multi-criteria problem which needs to consider both qualitative and quantitative factors. Which suppliers are the best and how much should be purchased from the selected suppliers is an important purchasing issue for manufacturers. Traditionally, decision makers can determine the best supplier from evaluating few suppliers with qualitative supplier selection criteria by using fuzzy analytic hierarchy process (FAHP), but evaluate dozens of global suppliers simultaneously or determine the order quantity from them will be complex and difficult. Meanwhile, decision makers can determine the order quantity form the suitable suppliers by using fuzzy goal programming (FGP); however, it is not easy to decide weights for each goal of global supplier selection with different supply chain strategies. This study integrated the FAHP and FGP (FAHP-FGP) method to be a new approach for global supplier selection in considering the manufacturer’s supply chain strategies. With FAHP-FGP method, the manufacturer can consistently integrate multi-manager’ opinions in determining weights of each goal and obtain the order quantities for suitable suppliers based on manufacturer’s strategies. To demonstrate the usefulness of the proposed method, a real-world case of a digital consumer products manufacturer is presented.     

利用多目标决策研究零售业中供应商的选择问题

首先分析了选择供应商的一般因素,其次根据零售业的特点,对零售业中影响供应商选择的因素进行了分析与提取．提出六大因素,即提前期、毛利润、销售历史、成本、产品多样化、产品知名度。针对六大因素建立了供应商选择指标的层次结构模型。依据结构模型,采用多目标规划方法解决零售业中供应商选择问题,建立了零售业中供应商选择的数学模型,并应用层次分析法详细进行了算例演示。最后对研究内容提出了不足及对未来研究的展望。     

基于绿色供应链的供应商评价研究

文章通过对绿色供应链与传统供应链的对比研究，分析了两种环境下供应商评价的差异性，并结合传统供应链环境下供应商的评价研究，构建了绿色供应链环境下评价供应商的指标体系，最后在此基础上结合模糊决策的方法给出了评价模型。     

基于案例的供应商选择决策支持系统

针对供应链管理中的供应商选择问题,提出了一种基于案例的供应商选择系统,用以对供应商选择提供有效的决策支持。