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  • 标题:A Novel Mathematical Model for a Cloud-Based Drone Enabled Vehicle Routing Problem considering Multi-Echelon Supply Chain
  • 本地全文:下载
  • 作者:Fatemeh Farajzadeh ; Amirhossein Moadab ; Omid Fatahi Valilai
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:15035-15040
  • DOI:10.1016/j.ifacol.2020.12.2004
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn recent years, the product delivery system has faced a significant amount of changes with reducing cost and waiting time of last-mile delivery. Unmanned aerial vehicles, or drones, have the potential to deal with these issues effectively. This paper developed a novel mathematical formulation to investigate the optimum routing between various types of nodes in a multi-echelon supply chain, including third-party logistics companies (3PL), warehouses, and consumers. A conceptual model is represented in the paper to comprehend the readers better, and eventually, the novelty of the developed model is discussed further by explaining the concept of solving.
  • 关键词:KeywordsCloud service matchingdrone parcel deliveryindustry 4.0
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