确定供应商评价指标权重的一种方法

首先分析了供应链管理中供应商选择和评价的重要意义，然后对选择供应商的评价指标及权重的确定问题进行了分析；根据已有的评价方法中确定指标权重方法的某些不足，提出一个灰关联分析模型，试图从灰色系统理论角度来探讨这个问题，最后，选择了质量、成本、交货期3个常用指标，建立起了供应商选择和评价的指标权重灰关联分析模型，给出了一个数据计算过程示例，并对计算结果进行了分析和讨论。     

评价供应商的DEA方法

以制造业中采购管理为背景，讨论了供应商的评价准则，应用数据包络分析方法解决了供应商的评价问题，并在采购者对供应商有不同要求的情况下，为供应商选择问题提供了有效的技术经济分析方法。     

供应商选择模糊决策方法

制造资源的全球化以及各种先进制造模式的应用使得供应商选择问题变得越来越复杂，加之供应商选择问题中包含大量的不确定因素和模糊因素。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，然后，将模糊集合论的思想和方法引入其中，提出供应商模糊综合决策方法并给出实例予以验证。     

基于模糊决策的供应商选择方法

在分析建立供应商评价指标体系所应遵循的三大原则的基础上，提出了一套供应商评价指标体系。由于供应商选择问题中包含大量的不确定和模糊因素，为此将模糊集合论的思想和方法引入供应商评价中，建立了供应商模糊评价模型，最后给出实例予以验证。     

浅谈供应资源开发与管理

供应链中的供应商开发与管理是在企业供应链环境下，以更好的满足客户需求为目的。是一个从供应商的考察与选择，到与供应商的合作和绩效评估，依靠信息技术手段，进行全面管理，保证质量的过程。     

一体化供应链下的项目采购管理与供应商管理战略

本文针对汽车行业讨论了产品项目开发中采购管理的重要作用,根据目前项目采购中暴露出的问题,总结出项目采购管理其实质即为对供应商战略管理的理念,从而提出在一体化供应链下项目采购管理中对供应商管理的战略模型。该模型包括四个路径:"构造供应商库,选择和评价供应商,供应商参与项目开发,定义目标供应商平台",并体现如何应用该模型以提高一体化供应链的竞争性。     

产品生命周期过程(横向集成)供应商选择模型研究

通过分析集成化供应链管理环境下供应商选择过程,给出了选择指标体系及选择步骤。在此基础上,建立了“横向”集成型企业供应商选择的模糊综合评价选择模型。应用此模型可对选择最满意的供应商做出相应的决策。     

电网企业供应商关系管理模式研究与应用

在国网公司物资集约化管理深入推进的背景下,供应商是整个供应链的源头。本文在分析供应商选择和评价工作重要性的基础上,阐述了公司开展供应商选择和评价工作的程序和方法,提出了具体的评价指标体系,并对其在实际工作中的应用提出了一些探索。     

论交易成本与供应链战略合作伙伴关系

以交易成本理论为出发点，提出了企业选择资源配置机制的准则，阐述了供应链战略合作伙伴关系形成和运行的原因和条件，比较分析了各种资源配置机制的特征和适用条件。最后提出了供应链战略合作伙伴关系应具有的功能，指出并论证了企业应减少供应商数目，建立与供应商长期的关系。     

浅谈供应链管理中的供应商管理

供应链管理作为新兴的管理模式,在企业中得到广泛应用,而供应商管理对整个供应链管理起着至关重要的作用。本文在对目前企业和供应商之间的现状进行分析的基础上,对供应商管理选择以及实现企业与供应商互惠双赢等问题提出了探讨。     

供应链管理中对供方的评价与选择

供应链管理是企业价值链上的重要环节,对供方的选择评价是供应链管理中的一项重要内容。讨论了建立供方评价指标体系应遵循的原则,对供方的评价选择进行了分析,提出了选择评价供方时应注意的几个问题。     

Supplier selection problem revisited from the perspective of product configuration

Collaboration with suppliers is essential for developing and producing a competitive product and it begins with selecting the right suppliers. This article addresses the supplier selection problem from the perspective of product configuration. We discuss first how the conventional decision models of supplier selection should be extended, considering the fact that supplier configuration requires supplier selection for each subsystem of a product. We then highlight the need to consider interrelationships between suppliers, namely, supplier–supplier relationships during the selection process of the combination of suppliers. Finally, we introduce the supplier configuration graph in order to provide a clear picture of the problem. Discussions are provided along with an example of a smartphone configuration.     

A multi-agent architecture for multi-product supplier selection in consideration of the synergy between products

Supplier selection is an important task in purchasing. The performance of a supply chain depends on the selection of the right suppliers to provide the right materials or services at the right price and right time. Most of the research on supplier evaluation and selection assumes that products are procured independently. However, in reality, it is common for a purchasing company to procure a bundle of products together. In this regard, synergy could exist between products and hence affect the final choice of suppliers. It is therefore necessary for the purchasing company to incorporate the synergy between products in supplier selection. This paper presents a multi-agent system (MAS) architecture for multi-product supplier selection in consideration of the synergy between products. A three-phase supplier selection model is proposed to support multi-product procurement in consideration of the synergy between products. The three phases are, namely, product synergy determination phase, supplier pre-selection phase and negotiation-based final selection phase. The MAS is equipped with various types of autonomous function agents and different agent interaction protocols to effect the functioning of this three-phase multi-product supplier selection model.     

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.     

Strategic purchasing participation,supplier selection,supplier evaluation and purchasing performance

In this article, we examine how purchasing’s strategic participation influences supply management activities via the choice of appropriate operational and strategic criteria. Specifically, the study focuses on supplier selection and monitoring ongoing supplier performance evaluation based on operational and strategic criteria. A combination of choosing appropriate supplier selection criteria and monitoring supplier performance ensures that the benefits of purchasing’s participation in strategic planning translate into better purchasing performance of cost, quality, delivery, flexibility and innovation. We test the hypotheses using survey data collected from manufacturing companies in the US by means of a path model. Our results provide support for the tenet that purchasing’s participation in strategic planning influences purchasing performance directly as well as through the mediating effects of supplier selection criteria and supplier performance evaluation. We discuss the theoretical and managerial implications of the findings and propose directions for further research.     

Employing dynamic fuzzy membership functions to assess environmental performance in the supplier selection process

The proposed system illustrates that logic fuzzy can be used to aid management in assessing a supplier's environmental performance in the supplier selection process. A user-centred hierarchical system employing scalable fuzzy membership functions implement human priorities in the supplier selection process, with particular focus on a supplier's environmental performance. Traditionally, when evaluating supplier performance, companies have considered criteria such as price, quality, flexibility, etc. These criteria are of varying importance to individual companies pertaining to their own specific objectives. However, with environmental pressures increasing, many companies have begun to give more attention to environmental issues and, in particular, to their suppliers’ environmental performance. The framework presented here was developed to introduce efficiently environmental criteria into the existing supplier selection process and to reflect on its relevant importance to individual companies. The system presented attempts to simulate the human preference given to particular supplier selection criteria with particular focus on environmental issues when considering supplier selection. The system considers environmental data from multiple aspects of a suppliers business, and based on the relevant impact this will have on a Buying Organization, a decision is reached on the suitability of the supplier. This enables a particular supplier's strengths and weaknesses to be considered as well as considering their significance and relevance to the Buying Organization.     

Yield and control in a supplier-customer relationship

This paper considers the problem of yield production and the mutual sampling policies of a supplier and a customer. It is assumed that the parties do not cooperate and construct a random payoff game where, in addition to sampling, the supplier may choose a yield (a function of the production technology). Given binding contract parameters between the customer and the supplier, a solution of the game, which assumes risk neutrality, is shown to lead to two equilibria. These equilibria are discussed and contrasted with current approaches in the application of quality assurance inspection plans. Finally, yield optimization by the supplier in each of the equilibria will lead to the selection of a unique solution which will induce the customer not to sample at all or sample with a probability given in terms of the contract parameters of the problem.     

An application of the fuzzy ELECTRE method for supplier selection

Supplier selection is vital to the success of a manufacturing firm. Supplier selection is a multi-criteria decision-making problem and is of strategic importance for most companies. As the conventional methods for supplier selection are inadequate for dealing with the imprecise or vague nature of linguistic assessment, a new method called the fuzzy technique for ELECTRE (ELimination Et Choix Traduisant la REalité) is proposed. The aim of this study is to compare and contrast crisp and fuzzy ELECTRE methods for supplier selection. The proposed methods are applied to a manufacturing company in Turkey. After determining the criteria that affect the supplier selection decisions, the results for both crisp and fuzzy ELECTRE methods are presented.