文章基本信息

标题：A supplier selection using a hybrid grey based hierarchical clustering and artificial bee colony
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作者：Razi, F.
期刊名称：Decision Science Letters
印刷版ISSN：1929-5804
电子版ISSN：1929-5812
出版年度：2014
卷号：3
期号：3
页码：259-268
语种：English
出版社：Growing Science Publishing Company
摘要：Selection of one or a combination of the most suitable potential providers and outsourcing problem is the most important strategies in logistics and supply chain management. In this paper, selection of an optimal combination of suppliers in inventory and supply chain management are studied and analyzed via multiple attribute decision making approach, data mining and evolutionary optimization algorithms. For supplier selection in supply chain, hierarchical clustering according to the studied indexes first clusters suppliers. Then, according to its cluster, each supplier is evaluated through Grey Relational Analysis. Then the combination of suppliers’ Pareto optimal rank and costs are obtained using Artificial Bee Colony meta-heuristic algorithm. A case study is conducted for a better description of a new algorithm to select a multiple source of suppliers.
关键词：Algorithms;Artificial Bee Colony;Evolutionary Optimization;Grey Relational Analysis;Hierarchical Clustering;Supplier Selection