首页    期刊浏览 2024年11月29日 星期五
登录注册

文章基本信息

  • 标题:An application of fuzzy TOPSIS to improve the process of supply chain management in the food industries: A case study of protein products manufacturing company
  • 本地全文:下载
  • 作者:Roghanian, E. ; Sheykhan, A. ; Abendankashi, E.
  • 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:1
  • 页码:17-26
  • 语种:English
  • 出版社:Growing Science Publishing Company
  • 摘要:Food industries as one of the most important industries in country, needs appropriate planning at both macro and micro levels. One of the important parts, which need to be discussed is the supply chain management in this industry. In this study, the importance of supply chain in food industries is studied. The proposed study determines different suppliers and using various criteria, the study applies Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to rank different alternatives. The preliminary results indicate that the proposed model of this paper is capable of determining appropriate suppliers in food industry.
  • 关键词:Food supply chain;Fuzzy TOPSIS;Supply chain management
国家哲学社会科学文献中心版权所有