文章基本信息

标题：Multi-objective Truck Scheduling in a Physical Internet Road-Road Cross-docking Hub
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作者：Tarik Chargui ; Abdelghani Bekrar ; Mohamed Reghioui 等
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