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  • 标题:Multi-objective Truck Scheduling in a Physical Internet Road-Road Cross-docking Hub
  • 本地全文:下载
  • 作者:Tarik Chargui ; Abdelghani Bekrar ; Mohamed Reghioui
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2021
  • 卷号:54
  • 期号:1
  • 页码:647-652
  • DOI:10.1016/j.ifacol.2021.08.175
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractAiming towards a sustainable supply chain, Physical Internet (PI) has been presented as a global logistics network with standardized PI-containers. PI-nodes, and more specifically PI-hubs, are one of the key elements of the Physical Internet concept. This paper focuses on optimising operations in the Road-Road PI-hub, which was not addressed in the Physical Internet literature. Road-Road PI-hubs are designed to transfer PI-containers between suppliers’ and customers’ trucks. The objective is to minimize both the inbound/outbound trucks delays and the energy consumption during the transferring of PI-containers using PI-conveyors. The problem is formulated as a multi-objective mixed integer model (MO-MIP) to find the optimal Pareto front. The mathematical model is tested on an illustrative instance to show the tradeoff between trucks’ delays and PI-containers routing energy consumption. The primary goal of this paper is to provide a prospect to start optimizing PI-hubs by suggesting a multi-objective mathematical model as a beginning for future researches on the Road-Road PI-hubs.
  • 关键词:KeywordsLogisticsCross-dockingPhysical InternetRoad-Road PI-hubTruck schedulingMathematical programmingMulti-objective optimizationOptimal Pareto front
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