Airport surface operations: A holistic framework for operations modeling and risk management

Formation of the hydrophobic coating on polymeric textile materials in nonequilibrium low-temperature plasma O V Vishnevskaya, E F Voznesensky, V V Vishnevsky et al. Values to the professional clothing material indicate that they are flammable and the curtains, self-extinguishing. Thus, despite of the occurrences of fire outbreaks in aircrafts are unexceptional, the use of other materials and technologies for uniforms, such as alternative textile fibers and flame retardant finishes should be considered as well as the establishment of performance limits regarding flame and fire exposing.

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“…It is about the identification of risks and occurrences through the collection of data and its analysis [6].…”

Section: Air Accidentsmentioning

confidence: 99%

Flammability on textile of flight crew professional clothing

Silva-Santos

Oliveira

Giacomin

et al. 2017

IOP Conf. Ser.: Mater. Sci. Eng.

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“…IATA (2014), Correia and Wirasinghe (2013), Ashford et al (2013) and Tošić (1992) provide several detailed performance and operational models that deal with landside processes at airports. Wilke et al (2014), Norin et al (2012) and Fricke and Schultz (2009) focused their studies on surface operations and airside procedures (mainly on-ground turnaround). Katsaros et al (2013) proposed a model for integrating landside and airside processes during on-ground turnaround.…”

Section: Conceptual Framework and Taxonomy For The Airport Operationsmentioning

confidence: 99%

“…This representation illustrates a sequence of activities and dependencies and enables inefficiencies, deficiencies and redundancies to be identified (Becker et al, 2000). BPM may be applied to all kinds of industries and organisations, and has been successfully implemented in air transport studies: surface operations (Wilke et al, 2014), passenger check-in (Lincoln et al, 2010) and the airline business (Ploesser et al, 2009).…”

Section: Conceptual Framework and Taxonomy For The Airport Operationsmentioning

confidence: 99%

Reduction of Uncertainty Propagation in the Airport Operations Network

Sanz

Comendador

Valdés

2016

Libro De Actas CIT2016. XII Congreso De Ingeniería Del Transporte

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Airport operations are a complex system involving multiple elements (ground access, landside, airside and airspace), stakeholders (ANS providers, airlines, airport managers, policy makers and ground handling companies) and interrelated processes. To ensure appropriate and safe operation it is necessary to understand these complex relationships and how the effects of potential incidents, failures and delays (due to unexpected events or capacity constraints) may propagate throughout the different stages of the system. An incident may easily ripple through the network and affect the operation of the airport as a whole, making the entire system vulnerable. A holistic view of the processes that also takes all of the parties (and the connections between them) into account would significantly reduce the risks associated with airport operations, while at the same time improving efficiency. Therefore, this paper proposes a framework to integrate all relevant stakeholders and reduce uncertainty in delay propagation, thereby lowering the cause-effect chain probability of the airport system (which is crucial for the operation and development of air transport). Firstly, we developed a model (map) to identify the functional relationships and interdependencies between the different stakeholders and processes that make up the airport operations network. This will act as a conceptual framework. Secondly, we reviewed and characterised the main causes of delay. Finally, we extended the system map to create a probabilistic graphical model, using a Bayesian Network approach and influence diagrams, in order to predict the propagation of unexpected delays across the airport operations network. This will enable us to learn how potential incidents may spread throughout the network creating unreliable, uncertain system states. Policy makers, regulators and airport managers may use this conceptual framework (and the associated indicators) to understand how delays propagate across the airport network, thereby enabling them to reduce system vulnerability, and increase its robustness and efficiency.DOI: http://dx.doi.org/10.4995/CIT2016.2016.3484

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“…And then the Accidents Tree Analysis was applied to analyze the reasons, which were summarized as the number of risk factors, and using grey correlation degree analysis in this sort of important points, such as the working person, the environment, the equipment and the management in the proposed control measures, and finally some feasible suggestions were put forward. Sabine [12] proposes a model, which provides a framework for integrated risk assessments of airport operations. Finally, a macroscopic scenario tool that supports the management of change, training and education, and safety communication functions of the SMS is introduced.…”

Section: Introductionmentioning

confidence: 99%