绿色供应链下基于组合赋权的灰色关联TOPSIS法对供应商评价选择的研究

为了顺应绿色供应链发展的趋势,H企业与供应商建立绿色战略合作伙伴,实现双方的共赢。文章综合考虑了质量、服务、环境、成本、技术五大因素,建立了科学合理的供应商评价指标体系;采用FAHP法和熵值法对各指标进行主观和客观组合赋权,利用灰色关联TOPSIS法进行供应商评价排序,选出最佳的供应商作为绿色战略合作伙伴;最后通过算例计算以及结果对比分析,验证了FAHP/熵值法/灰色关联TOPSIS模型的稳定性和有效性。     

基于贝叶斯网络和 TOPSIS 的供应商选择模型

本文首先在贝叶斯网络框架下, 建立供应商的评价体系及各项指标的概率分布, 借助于AgenaRisk 软件完成贝叶斯网络模拟。 其优势在于充分考虑供应商的多样可能性, 全面地进行供应商风险评估。 再结合 TOPSIS 的模型, 依据企业的偏好求得理想供应商。 通过组合方法, 本文在客观全面评价供应商的同时也能满足企业自身发展要求。 最后结合实际的案例, 证明模型的可行性。     

供应商选择方法综述

针对供应链管理是目前企业管理的先进管理模式,供应链管理可以实现供应链上各节点企业的“共赢”,对作为整条供应链源头的供应商评价与选择已成为企业提高竞争优势的关键。在对目前供应商选择方法从定量和定性角度研究的基础上,分析了各种方法存在的优缺点,以及应如何选择合适的评价方法,为企业选择供应商提供有力参考。     

闭环供应链中逆向物流供应商选择模型研究

环境压力的增加及资源约束促使了闭环供应链的诞生,而逆向物流供应商在闭环供应缝中处于重要的地位.本文在已有研究成果系统回顾的基础上,结合闭环供应链中核心企业与逆向物流供应商合作关系的特点,经过理论推导与统计检验,提出了基于DEA数据处理的AHP选择模型,实现对逆向物流供应商的优选,并结合案例进行了实证分析.     

基于改进TOPSIS法的健康评价模型研究

当前卷烟工业设备自动化程度高、设备关联性强,功能结构复杂,行业广泛采用的基于周期性的计划性维护体系,容易产生过修和欠修问题,难以保障烟草装备的可靠性水平。结合卷烟厂设备管理的实际需求,构建TOPSIS模型作为健康状态评价的核心算法,并引入熵权法确定权重以此提高模型科学性。最后通过案例分析验证该模型可用性,为设备维修保养的决策方案提供依据。     

面向供应链的供应商评价与选择方法研究

论文提出了基于80／20原则的供应商评价选择模型,论述了面向供应链的供应商评价与选择过程。该方法能有效地评价与选择合适的供应商,以便对供应商进行分类管理,进而提高供应链管理绩效。     

供应链管理模式下的供应商选择与合作

本文从采购管理和供应链管理思想入手,通过分析得出结论,供应链管理模式下的供应商选择与合作,不仅可为企业节省采购时间、降低采购成本,还能从根本上提高企业的市场竞争力,从而保证企业在快速多变的市场中处于领先地位。     

基于TOPSIS的政府采购招标项目评标方法

将数学模型的研究手段有机结合到财政理论和政策分析是现代财政理论研究的一个特点.政府采购招标项目评标是一个多属性决策的过程,基于TOPSIS方法建立了项目评标的数学模型,算例表明本文方法简单有效.     

联系度改进TOPSIS法的中部六省区域创新能力研究

本文构建了区域创新能力评价指标体系,运用熵权法确定权重,采用基于联系度改进的TOPSIS法对中部6省在2006～2010年的区域创新能力进行动态综合评价,得出结论:中部6省的区域创新能力分为3级,湖北为笫1级,湖南、河南为第2级、安徽、山西、江西为第3级;各个省份为提高区域创新能力亟待改善的指标有差异.此研究动态分析了中部6省在“十一五”规划期间的区域创新能力状况及亟待改善的主要指标,以期为各地区制定区域经济发展政策提供依据.     

基于熵权TOPSIS法的环保项目投资决策研究

与一般项目相比,环保项目的投资决策需兼顾项目的经济效益和环保效益,因此其投资决策具有多目标和多属性.本文从环保项目投资决策的特点入手,提出将环境成本和环境收益纳入现金流计算范畴,构建环保项目投资决策经济和环保效果两个层面的评价指标,并通过熵权TOPSIS的方法进行环保项目投资决策的方法,最后辅以案例分析,以期对环保项目做出更为全面和科学的投资决策.     

基于组合赋权与TOPSIS法的政府工程采购评标研究

考虑到政府工程采购评标是一个有限方案的多目标多层次决策问题,提出组合赋权与TOPSIS(逼近理想解排序)法。首先,构建了政府工程采购评价指标体系;然后,针对现有政府工程采购评标方法的不足,提出AHP(层次分析法)组合熵法确定各评价指标的组合权重,再结合TOPSIS法对政府工程采购各方案进行评标;最后,以某政府工程采购评标为实例,验证了组合赋权与TOPSIS法在政府工程采购评标中的应用是可行的。     

A weighted max-min model for fuzzy multi-objective supplier selection in a supply chain

Supplier selection is one of the most important activities of purchasing departments. This importance is increased even more by new strategies in a supply chain. Supplier selection is a multi-criteria decision making problem in which criteria have different relative importance. In practice, for supplier selection problems, many input information are not known precisely. The fuzzy set theories can be employed due to the presence of vagueness and imprecision of information. A weighted max-min fuzzy model is developed to handle effectively the vagueness of input data and different weights of criteria in this problem. Due to this model, the achievement level of objective functions matches the relative importance of the objective functions. In this paper, an analytic hierarchy process (AHP) is used to determine the weights of criteria. The proposed model can help the decision maker (DM) to find out the appropriate order to each supplier, and allows the purchasing manager(s) to manage supply chain performance on cost, quality and service. The model is explained by an illustrative example.     

Incorporating uncertainty into a supplier selection problem

Supplier selection is an important strategic supply chain design decision. Incorporating uncertainty of demand and supplier capacity into the optimization model results in a robust selection of suppliers. A two-stage stochastic programming (SP) model and a chance-constrained programming (CCP) model are developed to determine a minimal set of suppliers and optimal order quantities with consideration of business volume discounts. Both models include several objectives and strive to balance a small number of suppliers with the risk of not being able to meet demand. The SP model is scenario-based and uses penalty coefficients whereas the CCP model assumes a probability distribution and constrains the probability of not meeting demand. Both formulations improve on a deterministic mixed integer linear program and give the decision maker a more complete picture of tradeoffs between cost, system reliability and other factors. We present Pareto-optimal solutions for a sample problem to demonstrate the benefits of the SP and CCP models. In order to describe the tradeoffs between costs and risks in an analytical form, we use multi-parametric programming techniques to more completely analyze the alternative Pareto-optimal supplier selection solutions in the CCP model. This analysis gives insights into the robustness of the solutions with respect to number of suppliers, costs and probability of not meeting demand.     

工业企业新产品开发供应链管理研究（4）—供应商在新产品开发供应链中的作用研究

通过在企业新产品开发过程中，对供应商与开发企业的关系分析，研究供应商在新产品开发供应链中的作用。指出要缩短项目开发周期、提高新产品技术含量和质量、降低开发成本，供应商对项目的介入是不容忽视的重要因素。     

基于供应链的煤炭企业供应商管理研究

煤炭企业的生产特点和物资需求特性,决定了煤炭企业应该进一步改革物资采购模式,完善供应商管理工作。为有效跟踪供应商绩效表现,降低供应链风险,基于供应链管理理论提出目前中国煤炭企业应实施供应商全生命周期管理,并将供应商分类、供应商评价体系和关系管理纳入企业信息化系统建设中,有助于企业实现全方位的供应商关系管理。     

A decision method for supplier selection in multi-service outsourcing

Although supplier selection in multi-service outsourcing is a very important decision problem, research concerning this issue is still relatively scarce. This paper proposes a decision method for selecting a pool of suppliers for the provision of different service process/product elements. It pioneers the use of collaborative utility between partner firms for supplier selection. A multi-objective model is built to select desired suppliers. This model is proved to be NP-hard, so we develop a multi-objective algorithm based on Tabu search for solving it. We then use an example to show the applicability of the proposed model and algorithm. Extensive computational experiments are also conducted to further test the performance of the proposed algorithm.     

Risk sharing in supplier relations: an agency model for the Italian air‐conditioning industry

This study of risk sharing in the Italian high precision air conditioning (AC) industry confirms agency theory predictions that buyers absorb risk to a non‐negligible degree, and that they absorb more risk (a) the greater the supplier's environmental uncertainty, (b) the more risk averse the supplier, and (c) the less severe the supplier's moral hazard. The analyzed buyers accommodate for unforeseen and uncontracted‐for cost fluctuations, which is consistent with relational contract theory. The study clarifies the relationship between risk sharing and the supplier's size, technological capability, financial stability, and cost fluctuation. It also suggests how buyers may adjust their risk‐sharing strategy as suppliers grow, develop technological capabilities, and change financial structure. Copyright © 2007 John Wiley & Sons, Ltd.     

基于SLP理论的高校大学科技园选址研究

为了实现大学科技园规划选址决策的科学化,基于大学管理视角,突破现有大学科技园规划选址多从建筑学角度考虑范畴,运用工业工程中的SLP理论,从理论及实证方面对大学科技园的选址问题进行了研究,对大学科技园与校园内各功能分区间的相关性进行分析,规划出拟建设大学科技园的备选区域,基于P-中值算法的离散点静态模型,分析得出大学科技园选址的规划方案。