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Supply Chain and Logistics Institute
Supply Chain and Logistics Institute
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ItemStochastic Service Network Design with Different Relay Patterns for Hyperconnected Relay Transportation(Georgia Institute of Technology, 2023-06) Li, Jingze ; Liu, Xiaoyue ; Dahan, Mathieu ; Montreuil, BenoitHyperconnected relay transportation enables using a relay system of short-haul drivers to deliver long-haul shipments collectively, which helps address root causes of trucker shortage issues by transforming working conditions with potentials of daily returning home, accessing consistent schedules, and facilitating load matching. This Paper investigates hyperconnected relay transportation as a sustainable solution to trucker shortage issues through a logistics platform. We propose a two-stage programming model to optimize consistent working schedules for short-haul drivers while minimizing transportation costs. The first stage involves opening services and contracting truckers under demand uncertainty, where each service has a service route and approximate service schedules adhering to USA federal short-haul hour-of-service regulations. The second stage assigns hauling capacities to open services and manages commodity shipping or outsourcing given the demand realization. We extend the model formulation to account for various operational patterns (e.g., freight loading and unloading or hauler swapping) and schedule consistency requirements (e.g., weekly or daily consistency). A scenario-based approach is employed to solve the model for a case study of automotive delivery in the Southeast USA region. The experimental results validate the proposed approach, and further explore the impact of stochastic demands, operational patterns, consistent schedules, and hauling capacities on hyperconnected service network design. This research aims to offer practical guidance to practitioners in the trucking industry.
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ItemHyperconnected Logistic Service Networks: Bidding-Based Design Framework(Georgia Institute of Technology, 2023-06) Kwon, Simon ; Montreuil, Benoit ; Dahan, Mathieu ; Klibi, WalidIn hyperconnected urban logistics, all components and stakeholders are connected on multiple layers through standardized interfaces and open networks to achieve seamless responsiveness, efficiency, resilience, and sustainability. Key for high performance is achieving coordination and cooperation of urban stakeholders. In this Paper, we introduce the design of hyperconnected logistic service networks where associated logistic activities to move flows within an urban city are outsourced to third-party logistic service providers (3PL) via a bidding process to create service networks that are highly responsive and flexible at robustly responding to customer demand. We propose a framework for designing such networks that leverages a reverse combinatorial auction mechanism in which a logistic orchestrator serves as the auctioneer, putting out the logistic activities for auction and a set of participating service providers serve as bidders. We describe the design components of hyperconnected service networks and positions them into a comprehensive 3-stage design-making framework. Finally, we identify promising future research avenues for each stage in the proposed framework.
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ItemResilience Assessment of Hyperconnected Parcel Logistic Networks Under Worst-Case Disruptions(Georgia Institute of Technology, 2023-06) Kulkarni, Onkar ; Dahan, Mathieu ; Montreuil, BenoitLogistics networks that shape the Physical Internet’s logistics web are prone to potentially adversarial disruptions that impact their performance severely. In this article, we study a network interdiction problem on a multi-commodity flow network in which an adversary totally disrupts a set of network arcs with an intention to maximize the operational costs of delivering parcels. We formulate it as a two-stage mixed-integer linear program. To solve such complex large-scale program, we use linear programming duality and provide an algorithm based on the structure of the program that computes the set of network arcs that can be interdicted in order to reduce its size. Finally, we use the model and solution framework to evaluate the resilience capabilities of topology optimized hyperconnected networks and compare it with lean networks. We find that our developed solution methodology reduces the size of network interdiction program substantially and showcases superior computational performance against off-the-shelf optimization solvers. Furthermore, the resilience comparison between hyperconnected networks and lean networks depicts enhanced capabilities of the topology optimized hyperconnected networks to sustain worst-case disruptive events as opposed to that of lean logistics networks.
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ItemResilient Hyperconnected Logistics Hub Network Design(Georgia Institute of Technology, 2021-06) Kulkarni, Onkar ; Cohen, Yaarit ; Dahan, Mathieu ; Montreuil, BenoitLogistics 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.
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ItemDesign of a Simulation-Based Experiment for Assessing the Relevance of the Physical Internet Concept for Humanitarian Supply Chains(Georgia Institute of Technology, 2021-06) Grest, Manon ; Inan, Mahmut Metin ; Cohen, Yaarit M. ; Barenji, Ali ; Dahan, Mathieu ; Lauras, Matthieu ; Montreuil, BenoitThe challenges faced in delivering relief items to victims of natural disasters and the growing external pressures urge humanitarian supply chain organizations to initiate some change. In this regard, the physical internet concept can offer a paradigm shift in relief organization and resource mobilization. To convince humanitarian actors to embrace this path, we propose a rigorous methodology leveraging a prototypical agent-oriented discrete-events simulator built within the AnyLogic platform, to conduct scientific experiments enabling to investigate the suitability and relevance of PI concepts for HSCs by systematically quantifying their benefits and drawbacks on HSC performance, sustainability, and resilience. We provide preliminary experimental results contrasting the baseline shaped by the current HSC structures, behaviors and practices, notably relative to sourcing, transporting, and warehousing, with those of hyperconnected HSCs in line with the Physical Internet at distinct degrees of maturity. In the experiment, we study past disaster scenarios that occurred in Indonesia and response efforts under different behaviors simulated with this platform. Initial results show that PI concepts are smoothly fitted to HSCs and the performance of hyperconnected HSCs is better than the current baseline.