Physical Internet: First results and next challenges

Ballot, Éric; Montreuil, Benoît; Zacharia, Zach G.

doi:10.1111/jbl.12268

Cited by 29 publications

(15 citation statements)

References 34 publications

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“…Many studies have been conducted to evaluate the performance of PI in both experiments [22], [23] and simulation methods [21], [24]. As reported in [19] and [25], the early demonstrations of PI operation across several logistics scenarios suggest that PI has the potential to achieve its full sustainability and efficiency objective in terms of economy, environment, and society. For example, PI can increase the fill rate of transportation up to 17%, while saving 60% carbon-dioxide emissions from the freight transportation sector.…”

Section: Physical Internet Vision a Basic Conceptmentioning

confidence: 99%

“…However, the implementation of PI and DT faces mutual challenges combined with the novelty of these two concepts. First, the novelty nature of the PI concept presents its own challenges for implementation, such as designing the enabling components (e.g., π-containers, and π-nodes) [25], [138], [139]. Indeed, there is a lack of a thorough framework for supporting and guiding the successful deployment of DT in any specific domain, especially in the PI context.…”

Section: Key Challenges and Open Research Issuesmentioning

confidence: 99%

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The Physical Internet in the Era of Digital Transformation: Perspectives and Open Issues

Tran-Dang

Kim²

2021

IEEE Access

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The Physical Internet (PI, or π) paradigm has been developed for a global logistics system that aims to move, handle, store, and transport logistics products in a sustainable and efficient way. To achieve this goal, the PI requires a higher level of interconnectivity and interoperability in terms of physical, informational, and operational aspects, which, by following the principle of the digital Internet (DI), is enabled by an interconnected network of intermodal hubs, collaborative protocols, and standardized, modular, and smart containers. Meanwhile, digital transformation (DT) has become mainstream in Industry 4.0 to innovate many industries, including logistics and supply chains, through the use of breakthrough digital technologies in the fields of information, communication, connectivity, analytics, and computing, such as the next generation of communication and networking (i.e., 5G), the Internet of Things (IoT), artificial intelligence (AI), machine learning (ML), big data analytics (BDA), and cloud computing (CC). In this context, the introduction of DT in the PI vision has many implications for the development and realization of an efficient and sustainable global logistics system. This study investigated the perspectives of PI under the impact of DT. The major challenges and associated open research regarding the adoption of DT in PI have been thoroughly investigated.

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Section: Physical Internet Vision a Basic Conceptmentioning

confidence: 99%

Section: Key Challenges and Open Research Issuesmentioning

confidence: 99%

The Physical Internet in the Era of Digital Transformation: Perspectives and Open Issues

Tran-Dang

Kim²

2021

IEEE Access

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“…Several recent JBL articles have examined order fulfillment processes involving digital capabilities (Ambra et al 2020; Ballot et al 2021; Ishfaq et al 2021), inventory management approaches (Muir et al 2019; Singh & Ardjmand, 2020), and consumer responses to order fulfillment options (Nguyen et al, 2019; Tokar et al 2020). In this issue, Wallenburg et al (2021) contribute to this growing stream of research by investigating a challenging issue for firms—product returns.…”

Section: In This Issuementioning

confidence: 99%

What is a fatal flaw? A guide for authors & reviewers

Richey

Sramek

2021

J of Business Logistics

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“…After more than a decade of development, PI has gradually moved forward from conceptual research to large-scale enterprise applications. Several special issues (SI) concentrating on the concept have been published on flagship journals, and have successfully attracted enormous attentions, such as the first SI (Pan et al , 2017) aiming at collating the first research works that contributed to the development and applications of the concept, and (Ballot et al , 2021) gathering research works investigating how PI reshapes the organizational models and practices in LSCM. More recently, the SI (Pan et al , 2021) investigated the digital interoperability in PI.…”

mentioning

confidence: 99%