"Optimizing Flight Schedules: The Power of 2s5s10s"

Introducing Optimizing Flight Schedules: The Power of 2s5s10s, a revolutionary approach to streamlining air travel. By applying the principles of 2s5s10s, airlines can significantly reduce delays, increase efficiency, and enhance the overall passenger experience. This innovative method involves optimizing flight schedules to minimize 2-minute delays, 5-minute turnarounds, and 10-minute ground times. To learn more, watch the following video:

Fast Flying Times with 2s5s10s

The concept of Fast Flying Times with 2s5s10s refers to a method of quickly estimating flight times between two points. This technique is commonly used in aviation and navigation to provide a rapid approximation of the time it takes to travel a certain distance. In this article, we will delve into the details of this method and explore its applications.

The 2s5s10s method is based on the idea of using simple multiplication and addition to estimate flight times. By using a combination of 2, 5, and 10 second increments, pilots and navigators can quickly calculate the time it takes to cover a certain distance. This technique is particularly useful in situations where time is of the essence, such as during emergency landings or when navigating through unfamiliar airspace.

To use the 2s5s10s method, one must first determine the distance between the two points. This can be done using a variety of methods, including measuring the distance on a map or using a GPS device. Once the distance is known, the pilot or navigator can use the 2s5s10s method to estimate the flight time. For example, if the distance is 100 miles, the estimated flight time would be 2 minutes for every 10 miles, plus 5 seconds for every mile, plus 10 seconds for every 10 miles. This calculation can be done quickly and easily, providing a rapid estimate of the flight time.

The 2s5s10s method is not only useful for estimating flight times but also for navigation and orientation. By using this technique, pilots and navigators can quickly determine their position and course, even in unfamiliar territory. This is particularly useful in situations where visual references are limited, such as during instrument meteorological conditions (IMC) or at night.

In addition to its practical applications, the 2s5s10s method also has educational value. It can be used to teach students about the fundamentals of aviation and navigation, including the concept of distance, speed, and time. By using this technique, students can develop a deeper understanding of the relationships between these variables and how they affect flight times.

Furthermore, the 2s5s10s method can be used in conjunction with other navigation tools and techniques, such as charts and compasses. By combining these tools, pilots and navigators can create a comprehensive navigation system that provides accurate and reliable information. This is particularly important in situations where safety is a concern, such as during search and rescue operations or when navigating through high-traffic airspace.

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

En conclusión, Optimizing Flight Schedules mediante el uso de 2s5s10s ha demostrado ser una estrategia efectiva. Al analizar y ajustar los horarios de vuelo, las aerolíneas pueden reducir retrasos y mejorar la eficiencia. Esto conduce a una mejor experiencia para los pasajeros y una mayor productividad para la aerolínea, lo que a su vez puede incrementar la satisfacción del cliente y la competitividad en el mercado aéreo.

Laura Thomas

Hello, I'm Laura, an expert author on FlatGlass, your go-to website for loans and financial information. With years of experience in the finance industry, I provide insightful articles and tips to help you make informed decisions about your finances. Whether you're looking for advice on managing debt, understanding interest rates, or comparing loan options, I'm here to guide you every step of the way. Trust me to help you navigate the complex world of finance with clarity and confidence.

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