International Physical Internet Conference

Series

International Physical Internet Conference

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https://hdl.handle.net/1853/72223

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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.

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Organizational Unit

Physical Internet Center

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Publication Search Results

Now showing 1 - 10 of 18

Modular and Mobile Design of Hyperconnected Parcel Logistics Hub

(Georgia Institute of Technology, 2021-06) Babalou, Sevda ; Bao, Wencang ; Montreuil, Benoit ; McGinnis, Leon F. ; Buckley, Shannon ; Barenji, Ali

This paper employs modularity and mobility (M2) for designing recently introduced hyperconnected logistics hubs (HLH) for the Physical Internet, where parcels are encapsulated in modular tote-sized containers arriving in mobile racks, and these totes are consolidated by switching totes in shuffling cells to mobile racks with other totes with shared next destinations. The paper introduces the M2 framework and its modular standard-sized cells, racks and tote containers. Building on the overall HLH concept, the proposed M2 hub design is a major step forward with its on-the-fly transformability through operations to adapt to the dynamically changing sizes, mixes, characteristics, and flow of modular containers entering the hub and being consolidated and shipped within a short dwell time target. The paper uses a detailed case study to demonstrate the induced adaptability, adjustability, agility, efficiency, resilience, and scalability, and then it reports on an exploratory simulation experiment contrasting the performance of M2designs
Dynamic Containerized Consolidation in Physical Internet Enabled Parcel Logistics

(Georgia Institute of Technology, 2021-06) Kaboudvand, Sara ; Montreuil, Benoit

Many studies in the parcel logistics literature have accredited the hub-based network structures for better freight consolidation and economies of scale. A downside to this practice, however, is that sorting a large number of parcels at (intermediate) hubs requires a significant investment in real estate, human, and machine resources. Furthermore, the time spent in the hubs for waiting and processing increases the parcels' total in-transit time. Such re-sorting can be bypassed by smartly encapsulating parcels that share common service features and a subsequent destination. In this study, we rely on the capabilities of a Physical Internet enabled logistic network to introduce several decision protocols for dynamic containerized consolidation as pertinent to fast-paced parcel logistic environments. We use agent-based simulation to provide empirical results and elaborate on the benefits of containerized consolidation, specifically in saving handling efforts at hubs.
Generating clusters for urban logistics in hyperconnected networks

(Georgia Institute of Technology, 2021-06) Hettle, Cyrus ; Faugere, Louis ; Kwon, Simon ; Gupta, Swati ; Montreuil, Benoit

In the hyperconnected logistics model, a city is represented as a continuous mesh of small regions called unit zones. The clustering problem is to partition the set of unit zones into larger local cells and urban areas, and is critical in defining network operations. We give a mixed integer programming-based method for solving the clustering problem, which combines aspects of graph partitioning and min-cost flow problems. Our model aims to minimize expected operating cost, accounting for s expenses throughout the network, while incentivizing clusters that are resilient, geographically compact, and have balanced demand. To generate meaningful warm-starts for our MIP and achieve computational speedups, we adapt a graph partitioning method called striping. Solutions for the clustering problem can be integrated with methods for other problems in hyperconnected network design, significantly improving their tractability. Our techniques work effectively in tandem with methods for choosing hub candidate locations and routing flow. We show the effectiveness of our methods in redesigning SF Express’s hyperconnected network in Shenzhen.
Framework and Research Roadmap for a Next-Generation Hyperconnected Logistics Hub

(Georgia Institute of Technology, 2021-06) Montreuil, Benoit ; McGinnis, Leon F. ; Buckley, Shannon ; Babalou, Sevda ; Bao, Wencang ; Beranji, Ali

Today, parcel logistics hubs, where packages come in from many origins and are sorted to their many destinations, are both capital and labor intensive, with capacity that is largely determined by investments in conveyors. In this paper, in the context of Physical Internet growth, we propose a next-generation hyperconnected parcel hub concept that leverages parcel containerized consolidation, does not use conveyors, is robot-centric, with minimal requirement for human operators. Hub capacity can be readily adjusted to accommodate changing logistics patterns. The hub concept is described along with a demonstration case study, the fundamental hub design and operational decisions are identified, and a research roadmap is defined.
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.
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.
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.
Resilient Hyperconnected Logistics Hub Network Design

(Georgia Institute of Technology, 2021-06) Kulkarni, Onkar ; Cohen, Yaarit ; Dahan, Mathieu ; Montreuil, Benoit

Logistics networks frequently face disruptions inducing an increase in delivery costs and delays. This paper studies the design of resilient hyperconnected logistics hub networks for the Physical Internet, modeled as an integer programming problem. The objective is to open logistics hubs in order to connect each origin and destination using multiple minimum length edge-disjoint paths. To estimate the resilience of the designed networks, we propose graph theoretic measures involving (i) the maximum number of edge-disjoint paths connecting each origin and destination, and (ii) the number of short paths traversing each edge. We develop a case study to design a class of parcel delivery networks in China and evaluate the impact of various disruption scenarios on the resulting distance traveled by parcels. Our results show the relevance of the proposed resilience measures and the increased capability of the designed networks to sustain disruptions in comparison to traditional logistics networks.
Digital Twin Design Requirements for Durable Goods Distribution in Physical Internet

(Georgia Institute of Technology, 2021-06) Campos, Miguel ; Derhami, Shahab ; McGinnis, Leon F. ; Montreuil, Benoit ; Barenji, Ali

Today the practice for distributing large products manufactured at few original equipment manufacturers (OEMs) consists of a dedicated Point-to-Point (PtP) logistics system, typically requiring long haul transport from the factory to the wholesale destination. A growing problem is the shortage of commercial drivers willing to be away from home for several days to move products cross-country. Hub relay network logistics systems are an alternative solution to P2P logistics systems that allow reducing drivers' away-from-home times. Operating a relay-based logistics system requires accounting for multiple interrelated operational decisions that become more complicated as the system becomes larger and encompasses more players. To deal with such complexity we propose utilizing a digital twin of the distribution and logistics system as a decision-making support tool to manage the system and make operational decisions efficiently. This paper explores the design and assessment of a hyperconnected relay network of transport hubs supporting the movement of durable goods from factory to wholesale destinations. It describes requirements and challenges in developing and implementing a digital twin for such systems.
Physical Internet inspired Atomic Modeling for Supply Chain Risk Management

(Georgia Institute of Technology, 2021-06) Cerabona, Thibaut ; Benaben, Frederick ; Gitto, Jean-Philippe ; Lauras, Matthieu ; Montreuil, Benoit

At a time when instability is the norm, as the global health situation confirms, managers have to deal with increasingly complex situations. Managers expect to have decision support tools that allow them to manage this instability in order to suffer as little as possible. Simulation is one of the main tools to meet this demand. This paper presents the work in progress for the development of a modular supply chain simulation model inspired by the Physical Internet (PI). Its modules are developed from the processes defined in the Supply Chain Operations Reference (SCOR) tool. This simulation model will generate the inputs to apply Physics Of Decision (POD) approach, an innovative approach to risk management approach that draws on analogies with physical forces. This approach is dedicated to steering the performance trajectory of systems evolving in an unstable environment.