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Physical Internet, conventional and hybrid logistic systems: a routing optimisation-based comparison using the Eastern Canada road network case study

机译:物理互联网,常规和混合后勤系统:使用加拿大东部公路网案例研究的基于路由优化的比较

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摘要

The Physical Internet (PI) logistics system is an innovative logistics concept that has been gathering a lot of attention lately. This system consists of open, modular and shared containers and transit hubs to move goods globally. The purpose of this paper is to compare the performance of PI with regard to the conventional (CO) logistics system in order to quantify the advantages and disadvantages of PI from a truck and driver routing perspective with an explicit constraint on maximum return time for drivers. The comparison presented in this work is carried out through Monte-Carlo simulation within a sequential three-phase optimisation framework. Based on our analysis, PI reduces driving distance (and time), GHG (greenhouse gas) emissions and the social cost of truck driving. On the other hand, it increases the number of container transfers within the PI logistics centres. This insight is a contribution of the paper and reinforces the current literature on PI. The other main contribution of the paper is a validation of the claim that the number of drivers who can go back home at the end of a work day remains consistently high in PI, regardless of the traffic level.
机译:物理Internet(PI)物流系统是一种创新的物流概念,近来引起了很多关注。该系统由开放的,模块化的和共享的集装箱以及用于在全球范围内运送货物的运输枢纽组成。本文的目的是比较PI与常规(CO)物流系统的性能,以便从卡车和驾驶员路线角度明确PI的优缺点,并明确限制驾驶员的最大返回时间。这项工作中提出的比较是通过在连续的三个阶段的优化框架内进行的蒙特卡洛模拟进行的。根据我们的分析,PI减少了行驶距离(和时间),GHG(温室气体)排放量以及卡车驾驶的社会成本。另一方面,它增加了PI后勤中心内的集装箱转运数量。这种见解是该论文的贡献,并加强了有关PI的最新文献。该论文的另一个主要贡献是证实了这样的说法,即无论工作水平如何,在工作日结束时可以回家的驾驶员人数始终保持较高水平。

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