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

Yang, Xinan; Daham, Hajem Ati; Salhi, Abdellah

doi:10.1016/j.cor.2020.105141

Cited by 12 publications

(10 citation statements)

References 42 publications

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“…Constraints (3) and (4) ensure that the number of empty containers originating from the yard/ICD does not exceed its capacity. Constraints ( 5) and (6) indicate that the destination of a container can be an export port, yard, or ICD. Constraints (7) and ( 8) specify the starting point of a container.…”

Section: Nodesmentioning

confidence: 99%

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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Section: Nodesmentioning

confidence: 99%

Integrated Location Selection and Scheduling Problems for Inland Container Transportation

Wei,

Dong,

Fan

2023

Sustainability

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“…Full containers typically originate from ports or railway hubs and are hauled to specific customers or vice versa, while empty containers usually do not have a predetermined destination and can be hauled between ports, railway hubs, depots, and customers based on demand. In the container drayage problem (CDP), two trucking operation modes are commonly adopted, i.e., "Discharge" and "Strip" [6]. In the Discharge mode, a container and its carrying truck will not be separated at the customer location, where the truck remains waiting during the cargo loading or unloading process.…”

Section: Introductionmentioning

confidence: 99%

“…On average, empty containers account for about 40% of all containers in land transport, whereas, in maritime transport, it is only half that amount [7]. Traditionally, all empty containers are mandated to depart from or return to ports or depots, which is called the Depot-turn strategy [6]. The Depot-turn strategy is easy to implement but obviously increases the amount of empty container transportation.…”

Section: Introductionmentioning

confidence: 99%

“…The Depot-turn strategy is easy to implement but obviously increases the amount of empty container transportation. Thus, the Street-turn strategy [6], which allows for the direct haulage of empty containers that do not need maintenance or cleaning from suppliers to demanders, is proposed. If an emptied container after unloading can be directly transported to a nearby customer that demands it, the reusing of empty containers can be facilitated, and the transportation cost can be reduced significantly.…”

Section: Introductionmentioning

confidence: 99%

“…While there has been a substantial body of literature dedicated to addressing CDP over the past two decades, it is noteworthy that this topic has not been thoroughly investigated yet. By systematically reviewing the literature, three fundamental modeling factors for CDP are identified, i.e., the combination of trucking operation modes and empty container relocation strategies [6], the availability of empty containers [9], and multiple depots [6]. However, the existing research usually only incorporates one or two of the above three factors to reduce modeling or solving complexity, which does not describe complicated realistic scenarios.…”

Section: Introductionmentioning

confidence: 99%

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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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Optimized transportation scheduling for precast concrete components considering heterogeneous vehicle-size matching

Liu,

Wang,

Yang

et al. 2024

Advanced Engineering Informatics

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

Cited by 12 publications

References 42 publications

Integrated Location Selection and Scheduling Problems for Inland Container Transportation

Integrated Location Selection and Scheduling Problems for Inland Container Transportation

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

Optimized transportation scheduling for precast concrete components considering heterogeneous vehicle-size matching

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