2239. Multi-objective container stacking to enhance productivity and reduce energy consumption at terminals
Invited abstract in session TC-32: Container Stacking and Yard Planning-1, stream Maritime and Port Logistics.
Tuesday, 12:30-14:00Room: Maurice Keyworth 1.09
Authors (first author is the speaker)
| 1. | Cihan Butun
|
| Loughborough Business School, Loughborough University | |
| 2. | Afshin Mansouri
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| Brunel Business School, Brunel University London | |
| 3. | Ran Wang
|
| Brunel Business School, Brunel University London |
Abstract
Efficient container stacking in terminal yards requires careful planning to minimize unproductive activities and optimize cargo flow between vessels and customers. This study explores a multi-objective container stacking problem, focusing on operational productivity and the energy efficiency of yard equipment. A scattered stacking policy can reduce container reshuffles and enhance service efficiency but may increase fuel consumption due to longer travel distances for yard cranes and trucks. Conversely, consolidating containers in a smaller area and stacking them higher can lower fuel consumption but may increase reshuffles, negatively impacting service quality. To address this trade-off, we employ two procedures, an archive-based algorithm and an evolutionary algorithm, to generate a diverse set of non-dominated solutions. We compare the effectiveness of these methods and analyze their impact on fuel efficiency and the reduction of unproductive movements using real-world data from a container terminal in Spain.
Keywords
- Maritime applications
- Multi-Objective Decision Making
- Metaheuristics
Status: accepted
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