Vendor selection and order allocation using an integrated fuzzy case-based reasoning and mathematical programming model
Vendor selection and order allocation using an integrated fuzzy case-based reasoning and mathematical programming model
复制标题
DOI：
10.1016/j.ijpe.2006.11.022
复制
发表时间：
2009-10-01
影响因子：
12
通讯作者：
O'Brien, C.
中科院分区：
文献类型：
--
作者：
Faez, F.;Ghodsypour, S. H.;O'Brien, C.
企业物流管理的一个基本组成部分是采购职能，而供应商的选择和订单的分配是采购职能的主要职责之一，供应商选择问题（VSP）已被提出了许多概念和分析模型。本文重点介绍了一种基于案例推理（CBR）的方法，这是最近推荐的方法，解决VSP利用以前的类似情况。作为一种新的创新，在该模型中应用了模糊集理论，通过利用模糊类型的线性隶属函数来量化决策参数中的模糊性，将一些选择标准的模糊性纳入其中。此外，根据CBR系统中供应商的采购情况，并考虑到满足买方需求、供应商能力等现实约束条件，采用混合整数规划模型，同时考虑合适的供应商选择和订单分配。（C）2007年Elsevier B.V.
A basic part of the logistic management of companies is the purchasing function, and the appropriate selection of vendors and allocating orders among them is one of the prime responsibilities of this function.Many conceptual and analytical models have been developed for addressing the vendor selection problem (VSP). This paper focuses on a case-based reasoning (CBR) approach which is a recently recommended method for solving the VSP by making use of previous similar situations. Having applied fuzzy set theory in the proposed model-as a novel innovation-the vague nature of some selection criteria has been incorporated by utilizing the linear membership function of fuzzy type to quantity the vagueness in decision parameters. Moreover, a mixed integer programming model is employed to simultaneously consider suitable vendor selection and order allocation; due to the purchase situation of vendors derived from the CBR system, and with respect to such realistic constraints as meeting the buyer's demand, vendors' capacity, etc. (C) 2007 Published by Elsevier B.V.