A two-step optimization model for the pre- and end-haulage of containers at intermodal freight terminals

Dotoli, Mariagrazia; Falagario, Marco; Angelico, Biagio; Vinciullo, Antonio

doi:10.1109/ecc.2015.7331071

Cited by 6 publications

(2 citation statements)

References 28 publications

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“…The discrete system simulation principle and the eventscheduling approach can be directly utilized to model the entire system with all events scheduled to occur. [32][33][34] However, that approach is not appropriate for a simulation with continuous consumption of materials if the duration between the two neighboring events is too long. Therefore, a method of dual time scales that combines the event-scheduling approach and clock-advance method is proposed to drive the simulation.…”

Section: Integrated Simulation Proceduresmentioning

confidence: 99%

Simulation and Evaluation of a Space Station Operational Plan Considering Launch Delay of Cargo Vehicles

Guo

Zhang

Luo

2021

Trans. Japan Soc. Aero. S Sci.

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Section: Integrated Simulation Proceduresmentioning

confidence: 99%

Simulation and Evaluation of a Space Station Operational Plan Considering Launch Delay of Cargo Vehicles

Guo

Zhang

Luo

2021

Trans. Japan Soc. Aero. S Sci.

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“…Decision levels Current research indicates that operational and tactical problems are interrelated. Operational intermodal routing problems may include real-time planning and replanning (Grasman, 2006;Bock, 2010;Li et al, 2015;van Riessen et al, 2016;Di Febbraro et al, 2016) and asset management (and repositioning) decisions (Erera et al, 2005;Grasman, 2006;Assadipour et al, 2015;Li et al, 2015;Jiang et al, 2017). They sometimes include fixed costs for selecting services, which relates to the tactical service network design.…”

Section: Long-haul Service Network Design and Intermodal Routingmentioning

confidence: 99%

Optimising load planning and container routing in intermodal rail transport

Heggen¹

2019

4OR-Q J Oper Res

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The green marine waste collector routing optimization with puma selectison-based neighborhood search algorithm

Abdollahzadeh,

Javadi,

Torağay

et al. 2024

Cluster Comput

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Improper waste disposal by humans has created significant environmental issues in the marine ecosystem, including endangering aquatic life and accelerating the extinction of certain marine species. Due to the floating nature of the marine debris, the coordinates for collecting activities must be estimated in advance. In this article, GNOME software is used to estimate the coordinates of debris, and then a fleet of several ships is used to collect them. Also, a mixed integer linear programming model is presented for the routing optimization of debris collection fleets. The proposed optimization model formulates the objective function based on numerous factors, including labor cost, rent, and ship insurance, and considers constraints on fuel tank capacity, the time window, and the ship’s cargo capacity. A new hybrid algorithm combining the Puma algorithm and neighborhood search is proposed to address the problem. Metropolis acceptance is used in the simulated annealing algorithm to avoid the local optima and greedy selection. Numerical examples of the marine survey and the port of Rotterdam are used to test the proposed approach, which has been proven effective in several scenarios. Results achieved from the proposed hybrid method demonstrate considerable performance improvement in solving the problem. This approach has decreased total fuel and labor costs by 10–15% compared to conventional methods, with minimized time window violation reaching 25%. These results show a significant reduction in total operational costs with proper scheduling and route planning.

show abstract

A two-step optimization model for the pre- and end-haulage of containers at intermodal freight terminals

Cited by 6 publications

References 28 publications

Simulation and Evaluation of a Space Station Operational Plan Considering Launch Delay of Cargo Vehicles

Simulation and Evaluation of a Space Station Operational Plan Considering Launch Delay of Cargo Vehicles

Optimising load planning and container routing in intermodal rail transport

The green marine waste collector routing optimization with puma selectison-based neighborhood search algorithm

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