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Zero CO2 emissions aviation

Combining soft system methodology and pareto analysis in safety management performance assessment

Although reengineering is strategically advantageous fororganisations in order to keep functional and sustainable, safety must remain apriority and respective efforts need to be maintained. This paper suggeststhe combination of soft system methodology (SSM) and Pareto analysison the scope of safety management performance evaluation, and presents theresults of a survey, which was conducted in order to assess the effectiveness,efficacy and ethicality of the individual components of an organisation’s safetyprogram. The research employed quantitative and qualitative data and ensureda broad representation of functional managers and safety professionals, whocollectively hold the responsibility for planning, implementing and monitoringsafety practices. The results showed that SSM can support the assessment ofsafety management performance by revealing weaknesses of safety initiatives,and Pareto analysis can underwrite the prioritisation of the remedies required.The specific methodology might be adapted by any organisation that requires adeep evaluation of its safety management performance, seeks to uncover themechanisms that affect such performance, and, under limited resources, needsto focus on the most influential deficiencies.

Aviation Data Analytics in MRO Operations: Prospects and Pitfalls

As every new generation of civil aircraft creates more on-wing data and fleets gradually become more connected with the ground, an increased number of opportunities can be identified for more effective Maintenance, Repair and Overhaul (MRO) operations. Data are becoming a valuable asset for aircraft operators. Sensors measure and record thousands of parameters in increased sampling rates. However, data do not serve any purpose per se. It is the analysis that unleashes their value. Data analytics methods can be simple, making use of visualizations, or more complex, with the use of sophisticated statistics and Artificial Intelligence algorithms. Every problem needs to be approached with the most suitable and less complex method. In MRO operations, two major categories of on-wing data analytics problems can be identified. The first one requires the identification of patterns, which enable the classification and optimization of different maintenance and overhaul processes. The second category of problems requires the identification of rare events, such as the unexpected failure of parts. This cluster of problems relies on the detection of meaningful outliers in large data sets. Different Machine Learning methods can be suggested here, such as Isolation Forest and Logistic Regression. In general, the use of data analytics for maintenance or failure prediction is a scientific field with a great potentiality. Due to its complex nature, the opportunities for aviation Data Analytics in MRO operations are numerous. As MRO services focus increasingly in long term contracts, maintenance organizations with the right forecasting methods will have an advantage. Data accessibility and data quality are two key-factors. At the same time, numerous technical developments related to data transfer and data processing can be promising for the future.

Transition towards sustainable aviation

The development of sustainable aviation turns out to be a 30 year transition process. How to manage this transition process is a crucial for the change and success of the aviation sector in future. The foreseen solutions are mostly driven by technological innovation and improvements of procedures and regulations. The question is if these tools are sufficient to manage the innovation of an entire sector with 100 years legacy or are changes in business models, societal values and human behaviour part of the instrument mix aviation can use? New or adapted innovation models and tools are needed to use the full mix of instruments. The article explores the use of a modified Cyclic Innovation Model which is developed by researchers of TU Delft. The development of Schiphol Airport in Amsterdam and the outlook for its next 100 years is used as a case to understand the complexity of sustainable airport development.

Institutionalisation, capability and effectiveness of aviation safety management systems

In the frame of an on-going 4-years research project, the Aviation Academy Safety Management Systems (AVAC-SMS) metric for the self-assessment of aviation Safety Management Systems (SMS) was designed based on the Safety Management Manual of the International Civil Aviation Organization and in cooperation with knowledge experts and aviation companies. The particularmetric evaluates three areas, namely (1) the degree of institutionalisation of SMS (design and implementation of processes), (2) the extent of managers’ capability to deliver the SMS processes, and (3) the employees’ perceived effectiveness of the SMS-related deliverables. The metric concludes with a score per area and per SMS component/element assessed, and it is scalable to the size and complexity of each organisation. Results of a survey at 18 aviation companies did not show statistically significant differences in their SMS scores across all three assessment areas but revealed a distance between the area of Institutionalization and the areas of Capability and Effectiveness. Also, differences were detected regarding the scores per SMS component and element within and across companies and assessment areas. The various assessment options offered for the AVAC-SMS metric accommodates the resources each SME and large company can invest in the application of the metric. Even the lowest level of resolution of the SMS metric can trigger companies to investigate further their weaker areas and foster their SMS-related activities. Therefore, the AVAC-SMS metric is deemed useful to organisations that want to self-assess their SMS and proceed to comparisons amongst various functions and levels and/or over time.

An investigation of bird strike cases in the aviation sector with a novel approach within the context of the principal-agent phenomenon

Bird strikes, a risk factor in the aviation industry, are a common problem in certain states of the USA, while they are extremely rare in other states. Similarly, the seasonal distribution of bird strikes is not proportional. This situation poses an unfair situation in the aviation insurance of airline companies in terms of routes taken. The current study, detecting a literature gap related to the principal-agent problem within the aviation sector, evaluates the possible differences in aviation companies' insurance costs, assuming bird strikes are spatially and temporally analyzed in the US, and airline companies are provided with complete information regarding bird-strikes. In this research, QGIS software served in spatial model mappings. In terms of the threshold value, the study results show that making bird-strike insurance aircraft in twenty-one states which were below the threshold value increased the aviation costs of these airline companies, while in the remaining twenty-nine states, non-insurance raised the cost. In this context, as of 2022, it has been determined that not paying an extra premium for bird strikes in twenty-one states below the threshold value will create efficiency, while expending an above-average insurance premium in twenty-nine states and the District of Columbia above the threshold value will create efficiency. The research seeks to answer the following question: Is it fair for airlines operating on routes with low or high bird strike risks to pay the same amount of insurance cost?