Local container drayage problem with improved truck platooning operations

Yan, Xiaoyuan; Xu, Min; Xie, Chi

doi:10.1016/j.tre.2022.102992

Cited by 12 publications

(3 citation statements)

References 38 publications

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“…The CDP has received a large amount of attention from academics in the last two decades [10], and abundant findings have arisen from the investigation of the CDP and its variants. According to the research focus, studies closely aligned with the scope of our paper can be briefly divided into three categories: the CDP involving trucking operation modes and empty container relocation strategies, the CDP with empty container constraints, and the CDP with multiple depots.…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling and Optimization of Container Drayage Problem with Empty Container Constraints across Multiple Inland Depots

Yu,

Feng,

et al. 2024

Sustainability

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Container drayage involves the transportation of containers by trucks. Although the distance is relatively short compared to maritime and rail transport, container drayage accounts for 25% to 40% of the total container transportation costs and significantly contributes to increased fuel consumption and carbon emissions. Thus, the modeling of the container drayage problem (CDP) has received a lot of attention in the last two decades. However, the three fundamental modeling factors, including the combination of trucking operation modes and empty container relocation strategies, as well as empty container constraints and multiple inland depots, have not been simultaneously investigated. Hence, this study addressed a comprehensive CDP that simultaneously incorporates the three modeling factors. The problem was formulated as a novel mixed integer linear programming (MILP) model based on the DAOV graph. Given the complexity of this problem, it was not realistic to find an exact solution for large instances. Therefore, an improved genetic algorithm (GA) was designed by integrating the “sequential insertion” method and “solution re-optimization” operation. The performance of Gurobi and GA was validated and evaluated through randomly generated instances. The results indicate that (1) the proposed algorithm can provide near-optimal solutions for large-scale instances within a reasonable running time, (2) the greatest cost savings from combining trucking operation modes and empty container relocation strategies range from 10.45% to 31.86%, and (3) the three modeling factors significantly influence the fuel consumption and carbon emissions, which can provide managerial insights for sustainable container drayage practices.

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Section: Literature Reviewmentioning

confidence: 99%

Modeling and Optimization of Container Drayage Problem with Empty Container Constraints across Multiple Inland Depots

Yu,

Feng,

et al. 2024

Sustainability

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“…Controller-based approaches were undertaken in [7] , [8] to solve this problem. The drayage problem in platoons is discussed in [9] , [10] and they attempted to develop efficient algorithms for solving the same. However, only a few dealt with platooning of electric vehicles, particularly electric trucks [11] .…”

Section: Introductionmentioning

confidence: 99%

A deep learning based encoder-decoder model for speed planning of autonomous electric truck platoons

Karthik,

Rohith,

Devika

et al. 2024

Heliyon

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“…The degree to which customers can song their shipments the usage of multi-channels This machine is seen as a key carrier aspect for the transportation indus-try to meet the desires of manufacturing companies within the logistics chain, shipment notifications are real-time repute could be very vital and the fame of any delays or different transport troubles is required to inform as quickly as possible (Zhao et al, 2023). In general, consumers receive information regarding shipment tracking via short message services, mobile phone applications, and websites (Wang et al, 2023) Growing opposition requires value-optimized manufacturing, service and distribution as indispensable components of market success (Yan et al, 2023). The financial effect of logistics is growing; obvious and efficient internal and external approaches are visible as key achievement elements.…”

Section: Introductionmentioning

confidence: 99%

Shipping, Tracking, And Returned Goods: The Determinants of Sustainable E-Commerce Supply Chain and Logistics Operation

Humairoh,

Mohammad Annas

2023

JM-UIKA

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The main objectives of the research were to analyze many factors affecting the sustainability distribution, supply chain and logistic operation among e-commerce organization in Indonesia. The establishments were picked up randomly representing main regional in Indonesia. Ten e-commerce establishments were participating in the survey. 215 respondents representing nine e-commerce establishments gave their respond related on how they organized the shipping, tracking, handling as well as the returned goods policy. The result showed that the determinants were significantly gave impact on users’ satisfaction as well as the intention to repeat the business with the establishments, since in particular circumstances those ecommerce establishment gave hands on others to organize the goods shipping and distribution, and share the cost, so efficiency were created at both sides’ logistics operation.

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Local container drayage problem with improved truck platooning operations

Cited by 12 publications

References 38 publications

Modeling and Optimization of Container Drayage Problem with Empty Container Constraints across Multiple Inland Depots

Modeling and Optimization of Container Drayage Problem with Empty Container Constraints across Multiple Inland Depots

A deep learning based encoder-decoder model for speed planning of autonomous electric truck platoons

Shipping, Tracking, And Returned Goods: The Determinants of Sustainable E-Commerce Supply Chain and Logistics Operation

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