Supplier selection in electronic marketplaces using satisficing and fuzzy AHP
Supplier selection in electronic marketplaces using satisficing and fuzzy AHP
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DOI：
10.1016/j.eswa.2009.05.043
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发表时间：
2010-01-01
影响因子：
8.5
通讯作者：
Martakos, D.
中科院分区：
文献类型：
--
作者：
Chamodrakas, I.;Batis, D.;Martakos, D.
供应商选择是参与电子市场的公司寻找供应商并以电子方式执行其交易的一项关键而艰巨的任务。本文旨在提出一种新的方法，使有效的供应商选择过程中的电子市场的决策支持。我们介绍了一种评估方法，有两个阶段：通过执行硬约束的选择标准和最终的供应商评估通过应用程序的模糊偏好规划（FPP）方法的修改后的变体的供应商的初步筛选。所提出的方法是在电子市场的环境中固有的信息过载的影响，有利于通过减少必要的用户输入（即成对比较），并降低计算的复杂性，在线性规划的数量来解决，在与原来的FPP方法相比，更容易引出用户的喜好。采用FPP方法并进行相应的修改，以解决人类偏好模型的不一致/不确定性问题。我们的方法是证明了一个假设的金属制造公司，发现和选择供应商的环境中的电子市场的例子。(C)2009爱思唯尔有限公司保留所有权利。
Supplier selection is a critical and demanding task for companies that participate in electronic marketplaces to find suppliers and to execute electronically their transactions. This paper is aimed to Suggest a fresh approach for decision support enabling effective supplier selection processes in electronic marketplaces. We introduce an evaluation method with two stages: initial screening of the suppliers through the enforcement of hard constraints on the selection criteria and final supplier evaluation through the application of a modified variant of the Fuzz Preference Programming (FPP) method. The proposed method alleviates the information overload effect that is inherent in the environment of electronic marketplaces, facilitates an easier elicitation of user preferences through the reduction of necessary user input (i.e. pairwise comparisons) and reduces computational complexity, in terms of the number of linear programs to be solved, in comparison with the original FPP method. The FPP method is adopted and modified accordingly in order to tackle the issue of inconsistency/uncertainty of human preference models. Our approach is demonstrated with the example of a hypothetical metal manufacturing company that finds and selects Suppliers in the environment of an electronic marketplace. (C) 2009 Elsevier Ltd. All rights reserved.