Michael Becker blog post
The need to inform and to be informed
Massive flight changes and cancellations are ubiquitous. Schedule volatility is increasing around the globe. No airline is able to create its schedule on a seasonal base. Even in stable conditions, getting timely schedule information is a challenge. During a pandemic, it is needed more than ever.
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Codeshare synchronization within the major alliances (version 2020)
A codeshare agreement between two partnering airlines requires mutual consent on processes and a regular schedule data exchange. In the crisis, these process arrangements are put to test.
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Codeshare business will boost in the “New Normal”
Airlines all around the globe continuously are planning how their network should look like during and after the crisis. They had and they still have to reduce not only the frequency to specific destinations, they also have aircraft on the ground and ceased operations to some destinations overall.
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How to trim your schedule & codeshare management for the recovery to the “New Normal”
The pandemic is having a worldwide effect. Nearly every economy has to fight with the negative impacts. The aviation sector in particular is very badly affected by the crisis. Airlines get away from the traditional seasonal-based schedule planning to a more agile way. What does it mean for schedule and codeshare management?
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Covid-19: Impacts to MinCTs and connection building
Airlines and airports have to consider measures to minimize the transmission of COVID-19 between travelers, airport staff and crew members. These actions may increase the time passengers have to spend at the airport before they board a flight or while waiting for the connecting flight.
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How a powerful schedule and codeshare management system supports even in times of crisis
Schedules are basically subject to frequent and permanent changes. Especially nowadays, in times of crisis, quick action and re-action are indispensable. But does your system or does your established process support this kind of flexibility and mass data processing?
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