A generalised model for container drayage operations with heterogeneous fleet, multi-container sizes and two modes of operation

Moghaddam, Mahboobeh; Pearce, Robin H.; Mokhtar, Hamid; Prato, Carlo Giacomo

doi:10.1016/j.tre.2020.101973

Cited by 17 publications

(5 citation statements)

References 25 publications

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“…Different from Braekers et al [27], Song et al [28] and Song et al [9] imposed limitations on the Strip mode, restricting the same truck to picking up the separated container, while Zhang et al [29] assumed that the operation mode preferred by each customer remained fixed and known in advance. Moghaddam et al [30] delegated the task of matching Street-turn to the customers for the CDP with heterogeneous trucks, thereby mitigating modeling and solving complexity. Other articles considered a comprehensive combination of both modes and both strategies.…”

Section: The Cdp Involving Trucking Operation Modes and Empty Contain...mentioning

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: The Cdp Involving Trucking Operation Modes and Empty Contain...mentioning

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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“…Ref. [22] investigated the transportation problem of multi-size containers between ports and customer locations and proposed a container transportation scheduling model incorporating priority rules.…”

Section: Variations In Inland Container Transportation and Schedulingmentioning

confidence: 99%

“…Commercial software, i.e., Cplex, Gurobi, and Lingo, was used by [2,4,22,27,28], to solve the proposed transportation and scheduling problems. Due to the NP hardness of the problem, heuristic approaches have also been developed, i.e., the tabu search by [24], a two-stage heuristic by [3], and a hybrid tabu search by [25].…”

Section: Variations In Inland Container Transportation and Schedulingmentioning

confidence: 99%

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Integrated Location Selection and Scheduling Problems for Inland Container Transportation

Wei,

Dong,

Fan

2023

Sustainability

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Well-organized network configuration is the key to the success of inland container transportation systems. In this study, we firstly propose an integrated framework for the location selection of inland container depots (ICDs) and the scheduling of containers and trucks. The objective is to minimize the total cost of setting up the ICDs and transportation cost associated with trucks and containers. A mixed-integer linear programming (MILP) model is developed to solve the proposed problem. The computational studies show that the proposed decision approach is effective and can reduce the total operating costs of ICDs and transportation costs of containers. Sensitivity analysis on the impact of customer distributions and the number of ICDs on the total cost are conducted to reveal the characteristics of the problem. The utilization of ICDs can significantly improve the efficiency of the transportation network, i.e., the total cost is reduced by at least 27% for the proposed instances, and the transportation distance of empty containers is reduced by at least 4%. Finally, managerial insights and future research directions are provided.

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“…While Depot-turn is also allowed in this study so as to balance the gaps in demand and supply of empty containers. Another closely related article is [24], whose model allows both Street-turn and Depot-turn but to a limited extend; Street-turn is only considered when a perfectly matched pair of empty requests are raised by the same demander, which actually passed the job of matching Street-turn duties to the demander so as to reduce modelling/solution difficulty. Our model, on the other hand, allows an emptied container to be reused by any customer if needed and provides the best match in its solution.…”

Section: Stripmentioning

confidence: 99%

Combined strip and discharge delivery of containers in heterogeneous fleets with time windows

Yang

Daham

Salhi

2021

Computers & Operations Research

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A generalised model for container drayage operations with heterogeneous fleet, multi-container sizes and two modes of operation

Cited by 17 publications

References 25 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

Integrated Location Selection and Scheduling Problems for Inland Container Transportation

Combined strip and discharge delivery of containers in heterogeneous fleets with time windows

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