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。     

既有供应商模糊综合评价

对既有供应商的评价是供应链管理的重要内容之一。通过对选择供应商与既有供应商的评价进行比较分析,从生产制造实力、产品质量水平、质量保证能力、工程技术能力、协同能力等5个方面建立了既有供应商的评价指标体系与二级模糊综合评价模型。实证研究表明所构建的评价指标体系与评价模型能够对既有供应商的优劣做出正确的评价,为既有供应商的评价提供了科学的方法。     

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。     

模糊综合评判法在企业市场适应能力评价中的应用

运用模糊数学综合评判的理论与方法，对企业市场适应能力评价中定性指标进行模糊综合评估。建立评价系统指标体系，构造模糊矩阵方程，确定相应的权重，通过数据处理得到一个科学客观定量的评价结果。     

生产现场管理综合评价方法研究及软件开发

分析了制造业企业生产现场管理综合评价的特点和需要考虑的因素,设计了评价指标体系,建立了生产现场管理模糊综合评价方法,开发了评价软件。通过在实际企业中的应用,所设计的评价指标体系、评价方法和评价软件的合理性和有效性得到了验证。     

基于熵技术的矿山安全模糊综合评价

根据矿山安全评价所存在的模糊性和随机性的特点,在建立多级模糊综合评价的指标体系的基础上,借用信息论中熵的概念计算客观权重的方法,运用模糊数学理论,建立二级模糊综合评价模型,提高了矿山安全现状评价的客观性和科学性,具有一定的工程实际应用价值.     

基于模糊综合评判的MIE需求诊断方法

研究了制造业信息化工程需求分析的现状，提出并设计了基于模糊综合评判的制造业信息化工程需求诊断方法，实现了由定性分析向定量分析的转变，指出了该方法的研究重点在于建立需求评价指标体系和模糊关系矩阵，并围绕这一过程建立了最终判断制造企业信息化工程能力的逻辑关系模型。     

模糊综合评价法在小水电运行决策中的应用

模糊综合评价法是建立在模糊数学理论基础上的一种预测和评价方法,是一种精确解决不精确不完全信息的方法。本文阐述了模糊综合评价法的基本思想,提出了模糊综合评价法建模的步骤,以小水电运行决策过程中电站建筑物、水轮发电机组运行状态、电气设备的运行状态和辅助设备及设施的运行状态四大类指标构建评价指标体系,采用模糊综合评价法进行评价,为小水电运行管理决策提供了依据。     

冷库氨制冷系统运行状况的模糊综合评价

在大型冷库氨制冷系统运行监控过程中,利用模糊综合评价方法,对系统的运行状况进行综合评价,包括“模糊综合评价指标体系的建立”、“确定指标权值”和“运行状况的模糊综合评价”等过程。把模糊综合评价法与冷库监控技术结合起来,是提高评价方法的科学性及结果的可靠性的有效途径。     

基于模糊多层次综合评价的西藏桑日光伏电站建设项目社会评价

根据西藏桑日光伏电站建设项目自身的特点运用模糊数学的理论和方法,建立该光伏电站建设项目社会评价的模糊多层次综合评价模型,建立该光伏电站建设项目社会评价的指标体系。运用AHP的基本思想,创造性的使其与模糊多层次综合评价模型中指标分层思想相结合,对指标分层,确定各指标权重。最后,运用该模型对西藏桑日光伏电站建设项目进行社会评价,为项目的投资决策和资本运作提供科学的依据。     

Vendor selection problem: a multi-criteria approach based on strategic decisions

Many factors in the current scenario have influenced manufacturing organisations to have a competitive edge by concentrating on entire supply chains. Sourcing decisions are one of the strategic decisions because they enable companies to reduce costs and improve profit figures. The main task in sourcing is vendor selection. Recent challenges such as shortened product life cycle, just-in-time environment, and the importance of strategic partnerships in upstream chains always influence companies to prioritise vendor selection. In addition, outsourced parts and components account for a significant contribution in the cost of finished goods. Thus evaluating and selecting the right vendor is the key to business. Vendors are selected merely on the basis of cost factors in the traditional approach. However, companies eventually have understood that their approach which emphasises costs as the sole criterion is inefficient and needs to be changed. To deal with the complex process of vendor evaluation, multiple criteria decision-making techniques have evolved. This study presents the integrated approach of multiple multi criteria decision making (MCDM) techniques such as fuzzy logic, strength-weakness-opportunity-threat (SWOT) analysis, and data envelopment analysis. The efficacy of the proposed approach is evident from the case study of an automotive component manufacturer involving 20 vendors, comprising of pre-qualification by fuzzy SWOT and final selection by DEA.     

Vendor selection in a modified re-buy situation using a strategy-aligned fuzzy approach

The supplier/vendor selection is a decision-making problem at the strategic management level that involves a semi-structured process. The majority of the existing approaches obtained their optimal solutions without considering their fits with the strategy of the firm. This study utilizes the supplier positioning matrix, modified from the product-process change matrix, to link the capability of suppliers with the requirements of the customers to identify the strategy-aligned criteria for vendor selection in a modified re-buy situation. A fuzzy factor rating system is then used to evaluate the potential vendors based on the type of components required by the customers. In addition, in the proposed model, the final decision-maker is given the authority to synthesize the scores of individual alternatives based on the risks of individual vendors to accommodate the differences among the vendors to the specific environment. An empirical case study is performed to demonstrate the efficacy of the proposed system and to identify the best potential vendor(s) for further negotiation and development. The results of the case study also provide interesting managerial implications.     

一种多阶段供应商选择的混合整数规划模型

在建立供应链合作伙伴关系中,供应商的选择是供应链管理的一项重要内容.在现有文献的基础上对供应商的选择模型进行了改进,建立了集成单阶段与多阶段供应商选择的混合整数规划模型:既可以选择单阶段供应商,也可选择多阶段供应商即供应商的供应商的供应商等等.在模型中考虑了每个潜在供应商的能力约束,以供应商在产品价格、质量、配送水平等三个方面引起总的客户不满意度最小化作为选优的依据.     

Integrated inventory models with fuzzy annual demand and fuzzy production rate in a supply chain

The successful implementation of Just-in-time (JIT) production in today's supply chain environment requires a new spirit of cooperation between the buyer and the vendor. An integrated inventory model with such a consideration is based on the total cost optimization under a common stock policy and business formula. However, the supposition of known annual demand in most related literature may not be realistic. This paper proposes the inclusion of fuzzy annual demand and/or the production rate, and then employs the signed distance, a ranking method for fuzzy numbers, to find the estimate of the common total cost in the fuzzy sense, and subsequently derives the corresponding optimal buyer's quantity and the integer number of lots in which the items are delivered from the vendor to the purchaser. Numerical examples are provided to illustrate the results of proposed models.     

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。     

Multiproduct vendor selection with volume discounts as the fuzzy multi-objective programming problem

Vendor selection in supply chain is a multi-criteria problem that involves a number of quantitative and qualitative factors. This paper deals with a concrete problem of flour purchase by a company that manufactures bakery products. The selection process is driven by the price, reliability and quality objectives of the buyer and is subject to the capacity constraints of the vendors in the situation where all suppliers offer several kinds of flour (multiproduct situation). Vendors often offer quantity discounts, i.e. the purchasing price of flour depends on the quantity ordered. The multiproduct situation complicates the mathematical formulation of the problem and in this context it is much more convenient to consider the discounts of the money volume of business with every vendor. This problem has been solved using an integration of analytic hierarchy process (AHP), weighted sum model (WSM) and fuzzy multi-objective mixed-integer programming to define the optimum quantities among the selected suppliers.     

厂商制造伪劣商品原因及对策浅析

本文通过对厂商制造伪劣商品现象的透析,假设厂商具有单一的追求利润的目标函数,提出厂商收益函数,分析厂商选择制造伪劣商品的经济学本质,并得出如下结论:市场信息不流畅造成的买方卖方信息不对称,交易成本过高,地方政府的地方保护主义,以及消费者在一定程度上处于弱势地位都是某些厂商选择制造伪劣商品的重要原因。     

多目标模糊动态选拔机制的应用研究

当今经理选拔机制在现代公司制度中的重要性越来越突出。在综合分析经理选拔模糊性的基础上，提出了基于多目标模糊优选的经理选拔模型，并通过该模型对具体的多个模糊决策目标的经理选拔问题进行了应用分析。     

机构选型的改进多级模糊综合评判

 机构选型多级模糊评判的核心计算是实现隶属度转换；但是,现有隶属度转换方法包含冗余性,表现在指标隶属度中对目标分类不起作用的冗余部分也被用于计算目标隶属度.为此,用基于熵的数据挖掘方法,通过挖掘隐藏在各指标隶属度中关于目标分类的知识信息定义指标区分权；用区分权清除指标隶属度中对目标分类不起作用的冗余数值并提取有效值；有效值经指标重要性权重转化为可比值；用可比值计算目标隶属度实现隶属度转换.由此建立机构选型的改进模糊评判模型.