Improving Airport Performance Through a Model-Based Analysis and Optimization Approach

Mota, Miguel Antonio Mujica; Scala, Paolo; Delahaye, Daniel

doi:10.1007/978-3-319-55810-3_4

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…Recent studies, such as the stochastic model of passenger boarding developed to increase process efficiency [48], confirm that these elements remain key to research efforts. Uncertainty is also taken into account in planning terminal operations [49], with the goal being to optimize passenger service processes [50]. Optimal resource allocation is often used to increase process efficiency [51,52].…”

Section: Energy Consumption Management In Air Transportmentioning

confidence: 99%

Method of Reducing Energy Consumption during Forklift Operator Training in Cargo Terminals Utilizing Virtual Reality

Kierzkowski,

Ryczyński,

Kisiel

2024

Energies

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In the era of shrinking resources of traditional fossil fuels and the increasingly dominant sustainable development policy, actions are taken to reduce energy consumption as much as possible, assuming that we achieve identical operational goals. These activities are apparent in the industries with the most significant energy demand, i.e., the aviation industry. To achieve this, these industries implement modern technologies in all possible areas of operation. One of these areas is the area of operator training, especially the most energy-consuming devices and types of equipment. This article investigated the potential of virtual reality (VR) technology for energy optimization of forklift operating training in airport cargo terminals. The authors propose a method whose practical implementation in one of the cargo terminals reduced energy consumption by several times while training forklift operators. The added value is that the method is universal and, after appropriate modification, can be used to train operators of other devices. The study compared traditional training methods with a VR-based training approach, assessing their impact on energy consumption and overall efficiency of forklift operations in airport cargo terminals. The results prove that VR technology training can significantly reduce energy consumption while improving operational efficiency and can offer a sustainable and effective training solution for the entire logistics sector.

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Section: Energy Consumption Management In Air Transportmentioning

confidence: 99%

Method of Reducing Energy Consumption during Forklift Operator Training in Cargo Terminals Utilizing Virtual Reality

Kierzkowski,

Ryczyński,

Kisiel

2024

Energies

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“…In addition, uncertainty is considered when planning operations in airport terminals [24], and optimizing service processes remains the goal [25]. Optimal allocation of resources is often used to increase process efficiency [26,27].…”

Section: Literature Reviewmentioning

confidence: 99%

The Impact of the Level of Training of Airport Security Control Operators on the Energy Consumption of the Baggage Control Process

Ryczyński,

Kierzkowski

2023

Energies

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The article focuses on the study of the impact of the level of training of security control operators (SCOs) at airports on the energy consumption of the passenger baggage control process. With the constant growing emphasis on security at airports, the intensification of training processes for security personnel, especially those dealing with baggage control, has become very dynamic. An essential aspect in times of sustainable development is optimizing all kinds of processes (including training processes) to reduce energy consumption. The analysis of the demand for energy used to conduct this type of training and the impact of the operator’s training level on the energy consumption of the control process are entirely ignored and have not been the subject of research by scientists so far. Therefore, this is a research gap that the authors are trying to fill in this article. The impact of safety system operator training levels on ensuring optimal energy efficiency was critically analyzed. The added value of the article is the authors’ model assessing the influence of the level of training of the SCO on the energy consumption of the control process. The effects of the frequency, duration and level of operator training on energy consumption rates were investigated. The authors’ activities aimed to identify the most energy-efficient approaches to training without compromising its quality and, thus, the safety of passengers. The article discusses potential strategies for minimizing energy use and draws conclusions that can help airport administrations and training providers adopt sustainable and energy-efficient training practices.

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“…In the literature we can find many applications that employ optimization combined with simulation techniques to solve specific airport operations: for instance [20] deals with the problem of reducing the cost of delay in air traffic; [21] focuses on stochastic aircraft recovery problem; [22] considers airport surface traffic; and [23] copes with the check-in allocation at airport terminals. Regarding similar problems as the one faced in this work, in [24] a DES model integrating TMA and airside operations has been developed. Furthermore, they integrated the optimization tool OptQuest [25] in order to find the best combination for the number of ground vehicles with the objective of minimizing the turnaround time.…”

Section: Simulation Combined With Optimizationmentioning

confidence: 99%

Tackling Uncertainty for the Development of Efficient Decision Support System in Air Traffic Management

Scala

Mota

et al. 2020

IEEE Trans. Intell. Transport. Syst.

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Airport capacity has become a constraint in the air transportation networks, due to the growth of air traffic demand and the lack of resources able to accommodate this demand. This paper presents the algorithmic implementations of a decision support system for making a more efficient use of the airspace and ground capacity. The system would be able to provide support for air traffic controllers in handling large amount of flights while reducing to a minimum the potential conflicts. In this framework, airspace together with ground airport operations are considered. Conflicts are defined as separation minima violation between aircraft for what concerns airspace and runways, and as capacity overloads for taxiway network and terminals. The methodology proposed in this work consists of an iterative approach that couples optimization and simulation to find solutions that are resilient to perturbations due to the uncertainty present in different phases of the arrival and departure process. An optimization model was employed to find a (sub)optimal solution while a discrete event-based simulation model evaluated the objective function. By coupling simulation with optimization, we generate more robust solutions resilient to variability in the operations, this is supported by a case study of Paris Charles de Gaulle Airport.

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Improving Airport Performance Through a Model-Based Analysis and Optimization Approach

Cited by 4 publications

References 22 publications

Method of Reducing Energy Consumption during Forklift Operator Training in Cargo Terminals Utilizing Virtual Reality

Method of Reducing Energy Consumption during Forklift Operator Training in Cargo Terminals Utilizing Virtual Reality

The Impact of the Level of Training of Airport Security Control Operators on the Energy Consumption of the Baggage Control Process

Tackling Uncertainty for the Development of Efficient Decision Support System in Air Traffic Management

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