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Supplier Selection Fuzzy Model in Supply Chain Management:Vietnamese Cafe Industry Case 被引量:1
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作者 Chia-Nan Wang Hoang Tuyet Nhi Thai Nguyen Van Thanh 《Computers, Materials & Continua》 SCIE EI 2022年第8期2291-2304,共14页
Supplier selection is a vital part of the supply chain and is also a current issue that concerns businesses today as supplier quality directly affects the operations of the organization.Choosing the right supplier can... Supplier selection is a vital part of the supply chain and is also a current issue that concerns businesses today as supplier quality directly affects the operations of the organization.Choosing the right supplier can help businesses increase productivity,competitiveness in the market,and profits without having to lower the quality of the products.However,choosing a supplier is not a simple matter,it requires businesses to consider many aspects about their suppliers.Therefore,the goal of this study is to propose an integrated model consisting of two models:Fuzzy Analytics Network Process(Fuzzy-ANP)model and Weighted Aggregated Sum Product Assessment(WASPAS)to solve the problem above.The Fuzzy-ANP model was developed to evaluate the weightings of the supplier selection criteria,and the WASPAS Model was used to rank the suppliers.An example of supplier selection in the coffee industry in Vietnam was studied to validate the model,namely 5 main criteria,with 16 sub-criteria,and 7 suppliers.The model test results show that the Fuzzy ANP and WASPAS integration model was suitable.In future,these developing models can apply to other industries or integrate with other models. 展开更多
关键词 Fuzzy-ANP WASPAS multi-decision caféindustry supplier selection supply chain management
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The Application of Transaction Cost Theory in Supply Chain Management
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作者 Zimeng Zhu 《Open Journal of Applied Sciences》 2024年第11期3216-3225,共10页
In the context of globalization and digitalization, the application of transaction cost theory in supply chain management has become increasingly important. As business environments grow more complex, enterprises face... In the context of globalization and digitalization, the application of transaction cost theory in supply chain management has become increasingly important. As business environments grow more complex, enterprises face challenges in effectively managing supply chain transaction costs. This paper systematically explores the application of transaction cost theory in supply chain management, covering key areas such as supplier selection, supply chain integration, and risk management. The research finds that supplier evaluation models based on transaction costs can help enterprises make more comprehensive selection decisions. In terms of supply chain integration, transaction cost theory provides important guidance for vertical integration decisions and the design of collaboration mechanisms. The application of digital technologies has both reduced traditional transaction costs and introduced new cost considerations. Faced with emerging risks such as cybersecurity and geopolitical issues, enterprises need to adopt dynamic transaction cost management strategies. In the future, the application of transaction cost theory in supply chain management will likely place greater emphasis on interdisciplinary integration and sustainable development, providing theoretical support for enterprises to achieve efficient, flexible, and sustainable supply chain management in the changing global business environment. 展开更多
关键词 Transaction Cost Theory supply chain management Digital Transformation Risk management Supplier selection
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A Proposed Feature Selection Particle Swarm Optimization Adaptation for Intelligent Logistics--A Supply Chain Backlog Elimination Framework
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作者 Yasser Hachaichi Ayman E.Khedr Amira M.Idrees 《Computers, Materials & Continua》 SCIE EI 2024年第6期4081-4105,共25页
The diversity of data sources resulted in seeking effective manipulation and dissemination.The challenge that arises from the increasing dimensionality has a negative effect on the computation performance,efficiency,a... The diversity of data sources resulted in seeking effective manipulation and dissemination.The challenge that arises from the increasing dimensionality has a negative effect on the computation performance,efficiency,and stability of computing.One of the most successful optimization algorithms is Particle Swarm Optimization(PSO)which has proved its effectiveness in exploring the highest influencing features in the search space based on its fast convergence and the ability to utilize a small set of parameters in the search task.This research proposes an effective enhancement of PSO that tackles the challenge of randomness search which directly enhances PSO performance.On the other hand,this research proposes a generic intelligent framework for early prediction of orders delay and eliminate orders backlogs which could be considered as an efficient potential solution for raising the supply chain performance.The proposed adapted algorithm has been applied to a supply chain dataset which minimized the features set from twenty-one features to ten significant features.To confirm the proposed algorithm results,the updated data has been examined by eight of the well-known classification algorithms which reached a minimum accuracy percentage equal to 94.3%for random forest and a maximum of 99.0 for Naïve Bayes.Moreover,the proposed algorithm adaptation has been compared with other proposed adaptations of PSO from the literature over different datasets.The proposed PSO adaptation reached a higher accuracy compared with the literature ranging from 97.8 to 99.36 which also proved the advancement of the current research. 展开更多
关键词 Optimization particle swarm optimization algorithm feature selection LOGISTICS supply chain management backlogs
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基于LS-SVM的供应链合作伙伴选择 被引量:1
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作者 肖宇 朱敏 黄俊 《计算机与数字工程》 2010年第9期156-158,197,共4页
随着企业在质量、价格、时间、柔性和创新等竞争领域的经营业绩越来越依赖于供应商网络,伙伴关系和有效的供应商管理变得越来越重要。在选择供应链合作伙伴的过程中,由于竞争地位与收益的不平衡,缺乏相互信任等因素会造成合作伙伴评价... 随着企业在质量、价格、时间、柔性和创新等竞争领域的经营业绩越来越依赖于供应商网络,伙伴关系和有效的供应商管理变得越来越重要。在选择供应链合作伙伴的过程中,由于竞争地位与收益的不平衡,缺乏相互信任等因素会造成合作伙伴评价指标与实际值不相符合。为了能更好地提高企业选择合作伙伴的效率并减少其选择成本,选择最小二乘支持向量机(LS-SVM)算法对合作伙伴进行选择。实验证明,LS-SVM比普通的向量机不仅具有较高的训练效率,而且有更高的精确度。 展开更多
关键词 ls-svm 供应链管理 合作伙伴选择
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Measuring the influences of supplier selection and supply chain tasks on firm performance among manufacturing firms in India
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作者 D. M. Sezhiyan T. Nambirajan 《Chinese Business Review》 2010年第12期27-37,共11页
The primary objective of this research is to empirically probe the various aspects and variables that have been already addressed in the previous literature related to supplier selection criterion, supply effort manag... The primary objective of this research is to empirically probe the various aspects and variables that have been already addressed in the previous literature related to supplier selection criterion, supply effort management and firm performance. Further, this research aims to develop a measurement framework and pragmatically prove the framework through a measurement model. First, a factor structure for various constructs is made and the initial validity is determined from practicing managers and academicians. This research employs survey method and the data is collected from 358 supply chain professionals working in manufacturing firms in India. A measurement model is developed and proved with various tests of reliability and validity. Finally, three major latent constructs were formulated, namely, criterion of supplier selection, supply effort management and firm performance. The factor scores of these latent variables were used for further analysis. A six-stage approach was followed in the analysis of data. Firm performance was regressed against supplier selection criterion and supply effort management. The results indicate that the predictive variable has positive and significant effect on firm performance and they do not have any interaction and multicollinearity effects. 展开更多
关键词 firm performance supplier selection supply chain management supply effort management
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Comparison on neural networks and support vector machines in suppliers' selection 被引量:6
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作者 Hu Guosheng1,2 & Zhang Guohong3 1. School of Management, Guangdong Vocational Coll. of Science and Technology, Guangzhou 510640, P. R. China 2. School of Computer and Information, Anqing Teacher Coll., Anqing 246011, P. R. China 3. Adult Education Coll., Guangzhou Univ., Guangzhou 510405, P. R. China 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2008年第2期316-320,共5页
Suppliers' selection in supply chain management (SCM) has attracted considerable research interests in recent years. Recent literatures show that neural networks achieve better performance than traditional statisti... Suppliers' selection in supply chain management (SCM) has attracted considerable research interests in recent years. Recent literatures show that neural networks achieve better performance than traditional statistical methods. However, neural networks have inherent drawbacks, such as local optimization solution, lack generalization, and uncontrolled convergence. A relatively new machine learning technique, support vector machine (SVM), which overcomes the drawbacks of neural networks, is introduced to provide a model with better explanatory power to select ideal supplier partners. Meanwhile, in practice, the suppliers' samples are very insufficient. SVMs are adaptive to deal with small samples' training and testing. The prediction accuracies for BPNN and SVM methods are compared to choose the appreciating suppliers. The actual examples illustrate that SVM methods are superior to BPNN. 展开更多
关键词 supplier selection supply chain management LOGISTICS support vector machine BPNN.
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TOCO total assessment tool for decision-making on IP supplier selection
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作者 王哲 于渤 +1 位作者 荣毅虹 徐殿国 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2004年第1期28-33,共6页
According to the Total Cost of Ownership concept (TOCO), the selection criterion of international procurement suppliers can be classified into two levels, namely Macroeconomic decision-making level and Microeconomic d... According to the Total Cost of Ownership concept (TOCO), the selection criterion of international procurement suppliers can be classified into two levels, namely Macroeconomic decision-making level and Microeconomic decision-making level. In this paper, a new quantitative method is put forward to accomplish the task of total assessment on the Microeconomic level which analyses all of the quantitative and qualitative factors with regard to the supplier selection. A Microsoft Excel based new application kit named TOCO Total Assessment Tool is introduced. It can calculate the direct cost and the indirect cost conveniently and can help to evaluate the performance of candidate suppliers. To use the tool, the first module called Total Cost Analysis Module is introduced to calculate the total cost of supplier selection, and then the second module named Supplier Evaluation Module is used to evaluate the performance of each supplier. Finally, the results from these two modules are transferred to the Final Comparison Module to get the final decision-making results. In this paper, the supplier selection related factors are discussed; the method of using the tool is illustrated in detail. It is shown that scientific usage of the TOCO Total Assessment Tool can make the decision-making processes of supplier selection in international procurement transparent, easily calculated, and objective. At the end, a practical case is given to clarify the procedure of using the tool. 展开更多
关键词 DECISION-MAKING international procurement total cost of ownership concept supplier selection global sourcing supply chain management
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Fuzzy Programming Models for Vendor Selection Problem in a Supply Chain 被引量:2
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作者 王俊艳 赵瑞清 唐万生 《Tsinghua Science and Technology》 SCIE EI CAS 2008年第1期106-111,共6页
This paper characterizes quality, budget, and demand as fuzzy variables in a fuzzy vendor selection expected value model and a fuzzy vendor selection chance-constrained programming model, to maximize the total quality... This paper characterizes quality, budget, and demand as fuzzy variables in a fuzzy vendor selection expected value model and a fuzzy vendor selection chance-constrained programming model, to maximize the total quality level. The two models have distinct advantages over existing methods for selecting vendors in fuzzy environments. A genetic algorithm based on fuzzy simulations is designed to solve these two models. Numerical examples show the effectiveness of the algorithm. 展开更多
关键词 vendor selection problem supply chain management fuzzy variable fuzzy simulation genetic algorithm
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基于蚁群算法的敏捷供应链伙伴选择 被引量:23
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作者 蒋建国 夏娜 +1 位作者 张国富 尹翔 《系统仿真学报》 EI CAS CSCD 北大核心 2006年第12期3377-3379,共3页
伙伴选择是在组建敏捷供应链过程中的关键问题。引入蚁群优化来解决这一问题,提出了一种基于蚁群算法的敏捷供应链伙伴选择优化算法。在求解过程中蚂蚁倾向于选择曾经合作过并且合作效果比较好的企业作为伙伴并组成供应链,体现了熟人机... 伙伴选择是在组建敏捷供应链过程中的关键问题。引入蚁群优化来解决这一问题,提出了一种基于蚁群算法的敏捷供应链伙伴选择优化算法。在求解过程中蚂蚁倾向于选择曾经合作过并且合作效果比较好的企业作为伙伴并组成供应链,体现了熟人机制;“自适应扰动机制”可以避免算法的早熟。最后以一个典型算例说明了该算法的有效性。 展开更多
关键词 敏捷供应链 伙伴选择 蚁群算法 信息素
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基于AHP和TOPSIS算法的敏捷供应链合作伙伴选择决策方法 被引量:11
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作者 王锋 许焕梅 +1 位作者 任坤 古飚 《机电工程》 CAS 2002年第6期66-69,共4页
在分析敏捷供应链合作伙伴选择的特点的基础上 。
关键词 AHP TOPSIS算法 敏捷供应链 合作伙伴选择 决策方法 电机制造企业
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敏捷供应链中战略伙伴选择问题探析 被引量:15
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作者 卜祥智 王文斌 武振业 《西南交通大学学报》 EI CSCD 北大核心 2004年第2期239-243,共5页
面向敏捷供应链管理,建立了动态、不确定性市场环境下战略伙伴关系选择的多目标评价体系,提出了用模糊层次分析法对模型进行求解的方法,算例结果显示了方法的有效性.最后,提出了战略伙伴关系动态保持的几点建议,包括合理评价合作机制给... 面向敏捷供应链管理,建立了动态、不确定性市场环境下战略伙伴关系选择的多目标评价体系,提出了用模糊层次分析法对模型进行求解的方法,算例结果显示了方法的有效性.最后,提出了战略伙伴关系动态保持的几点建议,包括合理评价合作机制给合作各方带来的利益,发挥核心企业在合作中的指导作用. 展开更多
关键词 敏捷供应链 伙伴选择 快速反应 模糊层次分析法
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供应商选择方法综述 被引量:21
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作者 贺红燕 朱军勇 +1 位作者 许丽红 王媛 《河北工业科技》 CAS 2005年第5期308-311,共4页
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... 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。 展开更多
关键词 供应链管理 供应商选择 供应链
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供应链管理决策支持系统及其在伙伴企业选择中的应用 被引量:13
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作者 梁浩 吴洲 吴启迪 《计算机集成制造系统-CIMS》 EI CSCD 北大核心 2001年第4期26-29,共4页
介绍了供应链管理技术 ,提出了一种支持供应链管理的决策支持系统 ,最后以企业为背景 ,给出了该决策支持系统的应用 。
关键词 供应链管理 决策支持系统 伙伴企业 信息集成
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基于BOM的供应链构建方法 被引量:6
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作者 陈静杰 薛劲松 +2 位作者 朱云龙 王扶东 李兵 《计算机集成制造系统-CIMS》 EI CSCD 北大核心 2003年第5期373-377,共5页
比较了供应链和产品BOM的拓扑结构,提出了基于BOM构建供应链的方法,并且运用层次分析法建立了合作伙伴评价的层次模型,给出了基于群决策的详细评价过程和评价结果,进一步探讨了基于BOM的瘦供应链过程。
关键词 供应链构建方法 BOM 层次分析法 群决策 制造业 伙伴选择方法
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云计算环境下基于马尔可夫链动态模糊评价的供应链伙伴选择研究 被引量:7
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作者 段茜 黄梦醒 +1 位作者 万兵 杨雄 《计算机应用研究》 CSCD 北大核心 2014年第8期2403-2406,共4页
云计算环境为供应链柔性、松耦合、无缝集成与构建提供了良好的集成环境,使节点企业可以快速且以较低的成本来选择合适的企业,共同提高供应链整体绩效。然而,云计算环境下供应链伙伴选择评价过程具有动态性以及评价指标模糊性和不确定... 云计算环境为供应链柔性、松耦合、无缝集成与构建提供了良好的集成环境,使节点企业可以快速且以较低的成本来选择合适的企业,共同提高供应链整体绩效。然而,云计算环境下供应链伙伴选择评价过程具有动态性以及评价指标模糊性和不确定性的特点。针对这些问题,提出基于马尔可夫链的动态模糊评价模型。通过构建的评价指标体系,采用主客观相结合的综合权重法计算指标权值,利用模糊综合分析法对不同历史时间段的节点企业进行评价,引入马尔可夫链理论,建立概率转移矩阵,得到状态稳定向量,结合权值得到节点企业发展趋势以及综合评估值。最后,通过实例证明该评价方法的合理性和可行性。 展开更多
关键词 云计算 供应链 伙伴选择 动态模糊评价 马尔可夫链
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基于多分类器融合的供应链伙伴动态选择方法 被引量:6
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作者 黄梦醒 潘泉 +1 位作者 施建宇 张洪才 《计算机集成制造系统》 EI CSCD 北大核心 2007年第6期1131-1136,共6页
通过将备选企业的属性看作分类器,将伙伴选择问题转化为不完全、不确定性信息下的分类识别问题。应用多分类器融合规则,建立了供应链伙伴选择的决策模型和方法。该方法不但有效解决了决策信息的不完全性、不确定性和主观性问题,而且有... 通过将备选企业的属性看作分类器,将伙伴选择问题转化为不完全、不确定性信息下的分类识别问题。应用多分类器融合规则,建立了供应链伙伴选择的决策模型和方法。该方法不但有效解决了决策信息的不完全性、不确定性和主观性问题,而且有效解决了供应链伙伴的动态选择问题。实例分析结果表明,该方法在供应链伙伴选择和动态选择中具有可行性、有效性和优越性。 展开更多
关键词 供应链 多分类器融合 伙伴选择 决策
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基于信任的供应链伙伴关系维系管理方法研究 被引量:15
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作者 李辉 李向阳 徐宣国 《管理工程学报》 CSSCI 2007年第4期72-79,共8页
在契约的基础上进行基于信任的伙伴关系维系管理是保证节点企业间融洽合作关系的有效策略之一。本文首先分析了供应链伙伴关系管理实践中需要注意的问题以及信任与供应链伙伴关系的内在联系;在供应商开发程序的基础上融入信任诊断、协... 在契约的基础上进行基于信任的伙伴关系维系管理是保证节点企业间融洽合作关系的有效策略之一。本文首先分析了供应链伙伴关系管理实践中需要注意的问题以及信任与供应链伙伴关系的内在联系;在供应商开发程序的基础上融入信任诊断、协商沟通和改进供应链伙伴关系提高绩效的过程,提出了一种基于信任诊断的供应链伙伴关系开发程序进行多层伙伴关系维系的方法,包括基于信任的伙伴关系诊断层、伙伴关系协商沟通层和伙伴关系修正层。最后给出了支持该方法不同组成元素的企业实际运作例证。 展开更多
关键词 供应链 伙伴关系维系管理 伙伴关系开发程序 伙伴协调 信任诊断
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供应链合作伙伴关系管理过程分析 被引量:22
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作者 丁利军 李雪峰 《计算机集成制造系统-CIMS》 EI CSCD 北大核心 2003年第10期873-878,共6页
供应链合作伙伴关系的管理是一个复杂的过程,为此,将供应链合作伙伴关系管理分为伙伴需求分析、伙伴信息收集、伙伴选择和伙伴跟踪管理四个阶段。在伙伴需求分析阶段运用价值链分析方法找出企业自身的核心能力和需要伙伴提供的核心能力... 供应链合作伙伴关系的管理是一个复杂的过程,为此,将供应链合作伙伴关系管理分为伙伴需求分析、伙伴信息收集、伙伴选择和伙伴跟踪管理四个阶段。在伙伴需求分析阶段运用价值链分析方法找出企业自身的核心能力和需要伙伴提供的核心能力,将伙伴选择过程分为基于数据挖掘的快速过滤、组合优化和决策选择三个阶段,提出了基于合作满意度的伙伴跟踪管理方法。 展开更多
关键词 供应链 合作伙伴关系 合作伙伴选择
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基于免疫遗传算法的敏捷供应链伙伴选择 被引量:9
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作者 张锐 夏娜 +1 位作者 张国富 陈俊 《计算机工程与应用》 CSCD 北大核心 2006年第21期203-206,共4页
伙伴选择是在组建敏捷供应链过程中的关键问题,主要研究如何在众多候选企业中选择合作伙伴组成最优敏捷供应链。论文引入免疫遗传来解决这一问题,提出了一种基于免疫遗传的敏捷供应链伙伴选择算法,其免疫机制较好地避免了算法的“早熟”... 伙伴选择是在组建敏捷供应链过程中的关键问题,主要研究如何在众多候选企业中选择合作伙伴组成最优敏捷供应链。论文引入免疫遗传来解决这一问题,提出了一种基于免疫遗传的敏捷供应链伙伴选择算法,其免疫机制较好地避免了算法的“早熟”,改善了算法的全局搜索性能,提高了收敛速度。最后以一个典型算例说明了该算法的有效性。 展开更多
关键词 敏捷供应链 伙伴选择 免疫遗传算法 记忆库
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ANP/TOPSIS应用于制造企业供应商选择研究 被引量:11
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作者 郭伟 白丹 +3 位作者 单飞 陈思佳 张谦 潘华平 《武汉理工大学学报(信息与管理工程版)》 CAS 2011年第1期147-150,155,共5页
针对AHP方法中因假设元素间相互独立而偏离实际的缺陷,主要介绍了ANP/TOPSIS应用于制造企业供应商选择的方法,该方法考虑了每个评价指标之间的相互关系以及每个评价指标内部因素的相互作用,并将AHP/TOPSIS与ANP/TOPSIS在制造企业供应商... 针对AHP方法中因假设元素间相互独立而偏离实际的缺陷,主要介绍了ANP/TOPSIS应用于制造企业供应商选择的方法,该方法考虑了每个评价指标之间的相互关系以及每个评价指标内部因素的相互作用,并将AHP/TOPSIS与ANP/TOPSIS在制造企业供应商选择的排序结果作对比,得出应用ANP/TOPSIS能更合理地解决该类问题的结论。 展开更多
关键词 供应链管理 供应商选择 网络层次分析法 逼近理想解法
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