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  • 标题:Multi-stage Inventory Model with Fuzzy Demand in Supply Chain Networks
  • 本地全文:下载
  • 作者:Hsin-Hsiung Fang ; Ming-Feng Yang ; Yen-Ting Chao
  • 期刊名称:Lecture Notes in Engineering and Computer Science
  • 印刷版ISSN:2078-0958
  • 电子版ISSN:2078-0966
  • 出版年度:2019
  • 卷号:2239
  • 页码:500-504
  • 出版社:Newswood and International Association of Engineers
  • 摘要:The pursuit of superior coordination schemes is crucial for contemporary supply chains to survive in a highly competitive environment. In order to allow different order quantities among the selected suppliers to obtain the optimal solutions in this industry, this research addresses both supplier selection and inventory control problems in supply chain management simultaneously by creating a multi-stage inventory model for a serial system. In the perspective of a single-objective method, this research aims to minimize the total ordering costs, holding costs, and purchasing costs, subject to the price, quality, and capacity. Furthermore, the inclusion of fuzzy demand employs the signed distance and a ranking method for fuzzy numbers to find the estimate of the common total cost in the fuzzy sense. Consequently, numerical examples are provided to illustrate the usefulness of proposed models and comparative understanding of various methods.
  • 关键词:Fuzzy numbers; supply chain network; multi;stage inventory model; multi;objective programming; sensitivity analysis
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