Series
International Physical Internet Conference

Series Type
Event Series
Description
The International Physical Internet Conference aims to provide an open forum for researchers, industry representatives, government officials and citizens to together explore, discuss, introduce leading edge concepts, methodologies, recent projects, technological advancements,start-up initiatives, for current and future Physical Internet implementation.Conference topics include Logistics Nodes, Logistics Networks, System of Logistic Networks, Access and Adoption, Governance.
Associated Organization(s)
Associated Organization(s)
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Publication Search Results

Now showing 1 - 10 of 10
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    Production-Intralogistics Synchronization in Physical Internet-enabled Manufacturing Systems
    (Georgia Institute of Technology, 2021-06) Li, Mingxing ; Huang, George Q.
    The widespread adoption of Physical Internet (PI) technologies has promoted data and information sharing, real-time communication, and networking in the industry, which transforming the operations are managed and performed in many fields such as manufacturing. For example, the production operations and intralogistics operations in a shop floor are inherently coupled and entangled by physical flow (raw materials, components, sub-assemblies, or work-in-progresses). In traditional management mode, the production and intralogistics processes are managed separately by different departments without considering global benefits because the information cannot be timely collected and shared among the department to make informed decisions. Nowadays, advanced Industry 4.0 technologies such as Industrial Internet-of-Things (IIoT), digital twin, and cloud computing are gradually adopted by manufacturers to upgrade their factories. The sheer amount of data are real-timely collected, transmitted, and analyzed so that the information barriers among different department of a single factory are removed. Therefore, it is possible to manage the production and intralogistics processes in a synchronized manner by leveraging the strengths of real-time data, to improve the overall production efficiency and resource utilization.
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    A dynamic routing protocol with payments for the Physical Internet: A simulation with learning agents
    (Georgia Institute of Technology, 2021-06) Briand, Martin ; Franklin, Rod
    The Physical Internet aims to route loads dynamically over a logistic network. • Each times a Load arrives at a Node, a decision must be quickly taken to jointly select the Next node, the Carrier, and the price for this new segment. • Hence the need for a Digital Internet like protocol. Something fast and reliable. • This poster presents what we believe is the first PI dynamic routing protocol taking payments into account. It also present an environment to test the new protocol.
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    The Benefits and Price of Hyperconnectivity in last mile delivery
    (Georgia Institute of Technology, 2021-06) Leveque, Johan ; Klibi, Walid ; Stauffer, Gautier
    We investigate the impact of mutualizing the delivery network design of several delivery actors. While a lot of companies are redesigning their urban delivery network by adding optimally positioned micro-hubs to city inner centers, a lot of them are including new delivery methods such as cargo-bike. Contrary to vans, cargo bikes have the possibility to effectuate several delivery shifts per day, making them much more agile in a hyperconnected delivery network. Sharing the benefits of mutualizing several delivery actor’s network provides a better quality of service, such as same day delivery, by creating a denser network. On the other hand, optimally designing a shared network leads to additionnal hidden costs due to sub-optimality.
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    Spatio-temporal Arrival Prediction over Hyperconnected Logistics Networks
    (Georgia Institute of Technology, 2021-06) Xu, Yujia ; Xie, Yao ; Montreuil, Benoit
    Arrival prediction is a vital component in supply chain and logistics. Planning and operational decisions depend on predictions. Hyperconnected logistics enable a new opportunity for prediction by capturing interaction and correlation between different locations and over time in the network. Arrivals at one location may have a non-homogeneous influence on future arrivals at other nearby locations. To capture the temporal dependence of past events, we aim to Introduce a simple arrival distribution prediction approach; Propose a novel method to model and predict arrival events from spatio temporal sequential data based on a spatio-temporal interactive Bernoulli process, which can capture the spatio-temporal correlations and interactions without assuming time-decaying influence; Make arrival predictions for any locations at any future time.
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    Building on Synergies between Freight Logistics and People Mobility in Urban Areas
    (Georgia Institute of Technology, 2021-06) Klibi, Walid ; Labarthe, Olivier ; Ahmadi, Ghazaleh ; Deschamps, Jean-Christophe ; Montreuil, Benoit
    Investigates the feasibility of goods transshipment with a joint usage of public mobility and freight urban vehicles. Assesses the potential benefit of a joint mobility system for goods delivery in urban areas.
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    Autonomous and interconnected technologies for the container supply chain: The MOSES Concept
    (Georgia Institute of Technology, 2021-06) Ventikos, Nikolaos P. ; Louzis, Konstantinos ; Kanellopoulos, Ioannis ; Krikigianni, Eleni ; Latsa, Evangelia ; Hagesteijn, Gerco ; Cozjin, Hans ; Broek, Hans
    The maritime branch of the EU container supply chain is configured as hub-and spoke networks where large containerships transport cargo to Deep-Sea Shipping (DSS) ports and a limited number of Short Sea Shipping (SSS) feeder lines and container trucks on RoPax vessels distribute cargo to smaller ports for further transhipment. However, economically, environmentally, and socially unsustainable land-based transportation still covers most of the cargo transhipment from Hub ports. MOSES aims to significantly improve the modal shift to SSS by creating sustainable feeder services to small ports that have limited or no infrastructure (Figure 1). This will be achieved by developing the following highly automated/autonomous technologies and integrating them in existing operational processes: i) a digital collaboration and matchmaking platform (MOSES platform), ii) an innovative, green feeder vessel with a robotic container handling system, iii) a manoeuvring and docking scheme where autonomous tugboats collaborate with an automated mooring system. MOSES Matchmaking platform proposes a solution where data feeds from various sources allow logistics stakeholders to optimise and adjust routing plans, bringing the PI one step closer to the targets set for 2030 and 2040.
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    Dynamic Consolidation and Packing of Parcels in Modular Physical Internet Handling Containers
    (Georgia Institute of Technology, 2021-06) Grover, Nidhima ; Montreuil, Benoit
    Challenges: Emptiness in trucks: They are 40-60% full, 2) Non standardization in unit loads, 3) Unreliable service levels. Objectives: 1) Select appropriate sized containers, 2) Ensure timely departure of parcels, 3) Improve packing in vehicles and containers.
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    Synchronizing Public Transport Comodality Networks for City Logistics
    (Georgia Institute of Technology, 2021-06) Yang, Xuan ; Luo, Hao ; Jiang, Ming
    Public transport is widely considered as an ideal to travel around. City logistics focuses on improving the efficiency of urban freight transportation while reducing congestion, emission and noise. Public transport co-modality aims to combine city logistics with urban public transport to ensure a more efficient and sustainable urban transportation system. Most public transport systems operate service that has some common characteristics such as pre determined vehicle cycle, fixed route and limited capacity. Based on these characteristics, how to make packages delivery plan to synchronize freight flows and transit networks becomes a significant challenge in public transport co-modality.
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    Can Physical Internet support the integrated management of last-mile and first-mile (reverse) logistics? An exploratory analysis
    (Georgia Institute of Technology, 2021-06) Agnusdei, Giulio Paolo ; Sgarbossa, Fabio
    Closed-loop supply chain (CLSC) management developed within the CE paradigm and consists mainly in managing forward and reverse flows within a supply chain simultaneously. Integrating forward and reverse supply chains means that “last mile” logistics activities within the forward flow are strictly interconnected with the first-mile logistics activities of the reverse flow. In this context, Physical Internet (PI) paradigm represents an opportunity to increase logistics management efficiency, because it attempts to transform the way physical objects are handled, moved, stored, realized, supplied and used, by applying concepts from internet data transfer to real-world shipping processes, aiming towards sustainability.
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    Smart Track 4 Waterway - Regulatory Analysis
    (Georgia Institute of Technology, 2021-06) Bonjour, Gaëlle ; Bailly-Hascoet, Valérie
    Smart Track 4 Waterway is a European project (Interreg NWE) whose main objective is to promote the modal transfer from the road to the river by monitoring the loading from the first to the last mile, enabled by the hierarchical tracking of packaged goods. ST4W objectives are: Modal shift facilitation from road to waterway thanks to a seamless synchronisation between actors; Enabled by a cloud-oriented management system for shipment by inland waterway; Fed with data from hierarchical traceability of shipment including its geo-localization.