physical internet
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2021 ◽  
Vol 8 (4) ◽  
pp. 407-414
Author(s):  
Eszter Puskás ◽  
Gábor Bohács

One of today's most significant challenges is sustainability, which is closely linked to environmentally friendly solutions and resource efficiency. As a solution to these goals, the concept of the Physical Internet emerged, defining the logistics network of the future as a global, open, and interconnected system. Concerning the conditions of vehicles based on Physical Internet-based systems, we cannot ignore the latest vehicle technology innovations that appear more and more intensively in parallel. The framework proposes planning at the strategic, tactical, and operational levels. Different levels of coordination implement different approaches to platoon coordination in line with the network architecture of PI-based logistics systems. We recommend the highest level of offline design in fixed π-hubs. The tactical level involves designing π-hubs online. We propose the implementation of speed-based solutions at the operational planning level.


Futures ◽  
2021 ◽  
Vol 134 ◽  
pp. 102834
Author(s):  
Patrick B.M. Fahim ◽  
Manuel Martinez de Ubago Alvarez de Sotomayor ◽  
Jafar Rezaei ◽  
Arjan van Binsbergen ◽  
Michiel Nijdam ◽  
...  
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2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sihua Chen ◽  
Linlin Su ◽  
Xusen Cheng

PurposeThe Physical Internet (PI) provides solutions to improve the current unsustainable economically logistics systems. This paper aims to identify the key themes and point out the gaps to demonstrate the current state of the PI deployment in the industry. Furthermore, this paper attempts to provide possible opportunities for future research to lead research directions of PI deployment in the industry.Design/methodology/approachThis paper follows the methodology of systematic literature review (SLR) including five processes of (1) identifying the search process; (2) selecting publications following the criteria that include and/or exclude a publication; (3) evaluating and analyzing the chosen literature; (4) reporting findings and (5) synthesizing future research opportunities. A total of 88 papers ranging from 2011 to 2021 were selected and coded for analysis.FindingsThis paper has identified 7 themes, including the PI concepts, assessments of the PI, components of the PI, innovative facilities applied in the PI, collaboration in the PI, the PI implementation and literature review. Meanwhile, five key methodologies including experimental, exploratory, review, design science research as well as mixed-methods have been classified. A framework has been proposed to summarize the results incorporating the real-life industries involved in the existing research. The authors also present the research gaps and future research opportunities for the PI deployment in industries.Originality/valueThis study is one of the first research focusing on the PI real-life implementation and thus contributes to the PI literature differing from other literature review papers. The proposed framework is useful to learn about the current core research themes in the PI. The discussion of future research opportunities may inspire interesting research delving into the field.


Author(s):  
Chouar Abdelsamad ◽  
Tetouani Samir ◽  
Soulhi Aziz ◽  
Elalami Jamila

<p>Nowadays, reducing total costs while enhancing customer satisfaction is a major task for many supply chain systems. To deal with this issue, the physical internet (PI) paradigm can be represented as a potential replacement for the current logistics system. This paper devoted the cost reduction and lead time improvement in a PI-SCN using a hybrid framework based on an artificial neural network (ANN) and an improved slime mould algorithm (ISMA). To address the performance of the proposed framework, a real-case study in Morocco is considered. The new trainer ISMA’s performance has been investigated in three approximation datasets from the University of California at Irvine (UCI) machine-learning repository regarding nine recent metaheuristics. The experimental results highlight the effectiveness of ISMA according to other meta heuristics for training feed-forward neural networks (FNNs) to converge speed and to avoid local minima.</p>


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