A technique for the optimal management of containers' drayage at intermodal terminals

Dotoli, Mariagrazia

doi:10.1109/smc.2016.7844300

Cited by 3 publications

(4 citation statements)

References 30 publications

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“…The vehicle fleet is often considered homogeneous; only two papers discuss a heterogeneous fleet [31,32]. Multiple vehicle depots can be included [33][34][35][36][37][38].…”

Section: Pre-and End-haulage Transportmentioning

confidence: 99%

“…Constraints (27)-(28) imply a departure after the start of day d and a finish of the daily active time before the end of that day. Furthermore, a limit is placed on the time a truck can operate in a single daily route (29)- (31). The minimum night's rest between arrival and departure for a given node at which a night's rest is spent is included by means of constraints (32).…”

Section: Vehicle Routing Problem In Each Regionmentioning

confidence: 99%

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Intermodal Container Routing: Integrating Long-Haul Routing and Local Drayage Decisions

et al. 2019

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Intermodal logistics service providers decide on the routing of demand through their service network. Long-haul routing decisions determine the selected departure and arrival terminals for containers and imply corresponding drayage tasks. Traditionally, given these long-haul routes and fixed drayage tasks, drayage operations are planned in a second phase by establishing truck routes to transport containers to and from terminals by truck. In this paper, operational decisions on local drayage routing in large-volume freight regions with multiple terminals on the one hand, and intermodal long-haul routing on the other hand are merged into an integrated intermodal routing problem. Different long-haul routing decisions imply different drayage tasks to be performed and thus impact total trucking costs. The approach aims at reducing the number of road kilometres and increases bundling opportunities by maximising the long-haul capacity utilisation. In this way, it contributes to the modal shift towards intermodal transport and a more sustainable transport system. As a weekly planning horizon is used, a maximum daily active time and a minimum overnight's rest are included for multi-day drayage routing. A large neighbourhood search heuristic is proposed to solve the integrated intermodal routing problem. This integrated planning approach provides decision support for routing customer orders throughout the intermodal network with the aim of minimising total transport costs and maximising capacity utilisation. Experiments show the added value of the integrated approach, which uses more information to make better-informed decisions and increase the capacity utilisation. The largest savings in trucking costs are obtained for clustered instances with demand characteristics closest to real-life cases. Finally, a real-life case study analyses the impact of tactical service network design decisions on the total operational costs.

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“…The vehicle fleet is often considered homogeneous; only two papers discuss a heterogeneous fleet [31,32]. Multiple vehicle depots can be included [33][34][35][36][37][38].…”

Section: Pre-and End-haulage Transportmentioning

confidence: 99%

Section: Vehicle Routing Problem In Each Regionmentioning

confidence: 99%

Intermodal Container Routing: Integrating Long-Haul Routing and Local Drayage Decisions

et al. 2019

View full text Add to dashboard Cite

show abstract

“…The vehicle fleet is often considered homogeneous; only two papers discuss a heterogeneous fleet (Dotoli and Epicoco, 2016;Pérez Rivera and Mes, 2017). Multiple vehicle depots can be included (Zhang et al, 2009(Zhang et al, , 2010Nossack and Pesch, 2013;Sterzik and Kopfer, 2013;Reinhardt et al, 2016;Shiri and Huynh, 2016).…”

Section: Pre-and End-haulage Transportmentioning

confidence: 99%

“…In multi-objective optimisation, the aim is to find the Paretooptimal solutions. These concepts are illustrated in For a more comprehensive overview of multi-objective optimisation, the reader is referred to Ehrgott (2005).…”

Section: Introduction To Multi-objective Conceptsmentioning

confidence: 99%

Optimising load planning and container routing in intermodal rail transport

Heggen¹

2019

4OR-Q J Oper Res

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A MILP Approach for the Multi-Drop Container Loading Problem Resolution in Logistics 4.0

Cavone

Carli

Troccoli

et al. 2021

2021 29th Mediterranean Conference on Control and Automation (MED)

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A technique for the optimal management of containers' drayage at intermodal terminals

Cited by 3 publications

References 30 publications

Intermodal Container Routing: Integrating Long-Haul Routing and Local Drayage Decisions

Intermodal Container Routing: Integrating Long-Haul Routing and Local Drayage Decisions

Optimising load planning and container routing in intermodal rail transport

A MILP Approach for the Multi-Drop Container Loading Problem Resolution in Logistics 4.0

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