This paper first considers comprehensively the constraints of the number of containers, AGV transport location, dynamic energy consumption, battery capacity, and the regulated operation of the energy system.
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Simultaneously, the optimization of AGV speed can reduce AGV energy consumption. When the cumulative energy consumption of the AGV reaches a charging threshold E max, the AGV needs to return to the battery
Effective planning of AGV transportation can reduce equipment energy consumption and shorten task completion time. Multiple AGVs transport containers between storage blocks and vessels, which can be regarded as the
In the realm of AGV scheduling, Bish et al. (2001) pioneered the study of vehicle scheduling problems in a port context, determining storage locations for unloaded containers and routing
The key problem of operation optimization for automated container terminal is the coordinated scheduling of automated quay crane (QC), automated guided vehicle (AGV), and automated stacking crane (ASC). In
Automated guided vehicle (AGV) scheduling and routing are critical factors affecting the operation efficiency and transportation cost of the automated container terminal
Unlike the conventional AGV scheduling [1] [2] [3][4][5], when studying the AGV scheduling problem in a new type of automated container terminal, it is necessary to pay
Our container transport AGV is driven by a diesel-electric system, in which an electric motor operates the vehicle using the power generated by the diesel engine. The vehicle is also equipped with a fuel-saving mode that eficiently uses energy by prioritizing when to use and save power depending on the operating status.
Using battery-electric AGVs in container terminals: Assessing the potential and optimizing the economic viability. Research in Transportation Business & Management 17: 99-111. SimJ(2018).Acarbonemissionevaluationmodelforacon- tainer terminal. Journal of Cleaner Production 186: 526- 533. Sirimanne S N, Hoffman J, Juan W, et al. (2019).
The configuration strategy of AGVs and the capac- ity of AGV-mate can efficiently complete all container loading and unloading operations. Both the number of AGVs and the capac- ity of AGV-mate affect the schedule and the energy consumption.
Effective planning of AGV transportation can reduce equipment energy consumption and shorten task completion time. Multiple AGVs transport containers between storage blocks and vessels, which can be regarded as the supply sides and demand points of containers.
As described previously, Toyota Industries’ container transport AGV system effectively combines software (control system) and hardware (AGV itself) to ensure highly eficient container transport operations, excellent environmental performance and safety.
In summary, it can be found that few pa- pers have studied energy consumption of au- tomated container terminals with conflict-free path of AGVs, let alone the influence of dy- namic AGV-mate capacity on energy consump- tion.
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