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  • 标题:Study of Using RFID for Fuzzy Integrated Inventory Model
  • 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:520-525
  • 出版社:Newswood and International Association of Engineers
  • 摘要:With the development and progress of science and technology, radio frequency identification (RFID) has drawn more and more attention in various fields. In recent years, more and more research is devoted to the development and introduction of RFID. Enterprises through the proper planning of introduction RFID to reduce costs and even improve investment efficiency. In our study, RFID input will be applied to the integrated inventory model, to explore its application performance, and whether it can effectively improve the integration of inventory models. Whether the cost of RFID input and the risk it faces later can ensure that the investment in the system is valuable and the key to the enterprise's attention. Consequently, this study will also explore the investment benefits and risks of introduction to RFID and its problem might face. In the traditional integrated model and the literature, the scale factor in most models is known, but it is not practical. Therefore, this study establishes a RFID integrated inventory model in a fuzzy environment and applies the triangular fuzzy number often used by general decision makers as the way to adjust the scale coefficient by fuzzy theory, and uses the method of the center of gravity to solve the fuzzy number. The results in this paper proved that can better reflect the real world phenomenon in the supply chain environment.
  • 关键词:integrated inventory; investment efficiency; fuzzy theory
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