A service network design model for an intermodal rail-road freight forwarder

Laaziz, El Hassan; Sbihi, Najiba

doi:10.1504/ijlsm.2019.098328

Cited by 3 publications

(1 citation statement)

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“…SND methodologies are extensively used in many fields, including telecommunication, logistics, transportation, and manufacturing systems [11][12][13]. In transportation systems, SND was successfully applied to maritime transportation [14,15], airport transportation [16], express shipment [17][18][19], rail transportation [20][21][22], air traffic flow management [23,24], and multimodal transportation systems [25][26][27]. In addition, different network structures were addressed in the literature, such as multimodal networks [28], long-haul and local transportation structures [29], autonomous fleets [30], and heterogeneous fleets [31].…”

Section: Literature Reviewmentioning

confidence: 99%

A Layer-Based Relaxation Approach for Service Network Design

et al. 2022

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Service-network design in transportation applications has attracted much scientific attention due to the rapid growth of online shopping. Practical service-network planning tools could help express service providers in minimizing the total cost while improving service levels. Efficient service network design is a requirement for sustainable logistical development. Express delivery has substantial negative environmental impacts, and service network design minimizes the environmental impact by reducing energy consumption costs. This paper addresses the service network design problem, which integrates a heterogeneous fleet of vehicles for vehicle dispatching in a consolidation-based time–space network to reflect the express service scenarios. Due to the NP-hard nature of this problem, we designed a layer-based relaxation algorithm to solve large-scale applications. The relaxation method relaxes and fixes the network structure on a layer-by-layer basis, and the computational experience confirms the effectiveness and efficiency of the relaxation algorithm. The solution time and quality are both improved significantly.

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