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The aim of the article is to analyze the functionality of the Boeing MCAS system. MCAS is identified as the main culprit of two air accidents that impacted Boeing and grounded Boeing 737 MAX aircraft. Many findings indicate that the above type of aircraft was released into service with many errors that had an impact on aircraft control, and it is clear that Boeing knew about these errors and specifically kept them secret. Boeing kept the errors from affecting the production of the 737 MAX and at the same time losing competition against Airbus. Investigations and certification of this type are not completed even one year after their grounding and this process will have a long-term impact on the entire aviation industry.

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Aviation and climate change are often associated. The effects of climate change have increasing impact on the safe operation of airports. Due to both climate and weather conditions changes, airport winter maintenance is a significantly important activity of airports, especially in areas where a harsh winter season is expected. Continuous optimization of airport winter maintenance processes is necessary. The aim of this article is to present a possible way to optimize maintenance processes using simulation tools. The team of researchers identified key factors that are necessary for the application of the optimization. The article presents a procedure designed for safe handling of one of the model situations in winter maintenance of airports. The model of simulation defines critical points in the maintenance procedures designed for maintenance optimization using the data obtained from an international airport. Based on the determination of critical points of the maintenance procedures processed using a Gantt chart, the authors analyzed the differences of the performed procedures applied in the airport. The result of applied research is the identification of the next critical points in the simulation that may potentially represent critical activities of the winter maintenance procedure and have an influence on their optimization.