Joint Configuration and Scheduling Optimization of a Dual-Trolley Quay Crane and Automatic Guided Vehicles with Consideration of Vessel Stability
| Autor: | Lijun Yue, Houming Fan, Chunxin Zhai |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Schedule
ComputingMethodologies_SIMULATIONANDMODELING Computer science Quay crane AGV scheduling Geography Planning and Development 0211 other engineering and technologies Stability (learning theory) Scheduling (production processes) ComputerApplications_COMPUTERSINOTHERSYSTEMS 02 engineering and technology Management Monitoring Policy and Law vessel stability Control theory energy consumption Genetic algorithm 0202 electrical engineering electronic engineering information engineering available laytime 021103 operations research dual-trolley quay crane Job shop scheduling Renewable Energy Sustainability and the Environment Energy consumption Terminal (electronics) Container (abstract data type) 020201 artificial intelligence & image processing Efficient energy use |
| Zdroj: | Sustainability Volume 12 Issue 1 |
| ISSN: | 2071-1050 |
| DOI: | 10.3390/su12010024 |
| Popis: | This study proposes a formulation to optimize operational efficiency of a dual-trolley quay crane and automatic guided vehicles (AGVs) to reduce energy consumption at an automated container terminal. A two-phase model is used to minimize energy consumption during loading and discharging operations, as well as maximize the utilization rate of the AGVs, with consideration of relevant constraints such as the capacity of buffers for the quay crane (QC) and yard, the stability of vessel, the maximum endurance of an AGV, and the available laytime for handling. We propose a constrained partial enumeration strategy to construct quay crane schedules and a genetic algorithm to solve the AGV scheduling problem. Finally, Yangshan Phase IV automated container terminal&rsquo s data is used to verify the validity and applicability of the proposed model. The results of the tests provide evidence that the proposed method can improve energy efficiency. |
| Databáze: | OpenAIRE |
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