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  • 标题:The Application of Fuzzy Clustering Method in the Warehouse Performance Evaluation
  • 本地全文:下载
  • 作者:Hongmei JU ; Wen LU
  • 期刊名称:International Business and Management
  • 印刷版ISSN:1923-841X
  • 电子版ISSN:1923-8428
  • 出版年度:2015
  • 卷号:10
  • 期号:1
  • 页码:44-49
  • DOI:10.3968/6361
  • 语种:English
  • 出版社:Canadian Research & Development Center of Sciences and Cultures
  • 摘要:The warehouse of a modern business enterprise has become the logistics center, which also forms the part of the high value-added process, which is seen as a key element in the successful business operations. Under the new economic situation, if companies pay attention to their economic benefits, it is necessary to strengthen the management of the warehouse. After hiring a third-party public warehouse in warehousing strategy, selecting the appropriate storage provider becomes crucial. This paper proposes the use of fuzzy clustering method, based on storage performance evaluation, and establishes a simple model to solve the problem of warehousing provider’s choice. That is, first using fuzzy clustering method in optional storage provider for clustering, and then that is the further choice in a small range to simplify the complex issues. Key words: Warehousing performance evaluation; Fuzzy clustering; Choosing
  • 其他摘要:The warehouse of a modern business enterprise has become the logistics center, which also forms the part of the high value-added process, which is seen as a key element in the successful business operations. Under the new economic situation, if companies pay attention to their economic benefits, it is necessary to strengthen the management of the warehouse. After hiring a third-party public warehouse in warehousing strategy, selecting the appropriate storage provider becomes crucial. This paper proposes the use of fuzzy clustering method, based on storage performance evaluation, and establishes a simple model to solve the problem of warehousing provider’s choice. That is, first using fuzzy clustering method in optional storage provider for clustering, and then that is the further choice in a small range to simplify the complex issues. Key words: Warehousing performance evaluation; Fuzzy clustering; Choosing
  • 关键词:Warehousing performance evaluation;Fuzzy clustering;Choosing
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