Advanced simulation modeling and new decision-making tools such as digital twins, connected to real-time data sources, allow companies to conduct rapid “what-if” analyses and provide live guidance and feedback to the frontline.
For instance, to maintain operations in moments of disruption such as inclement weather, an airline’s crew scheduler may have to make tens of thousands of decisions over an eight-hour shift. Often these decisions are too complex to be made without automated assistance. With a digital twin, crew-rerouting decisions can be optimized based on live simulations, leaving the crew scheduler free to focus on potential exceptions that involve new or unexpected variables.
A digital twin can provide decision coaching.
Scorecard of decisions
Simulation flight map
Real-time flight map
The real-time flight map assesses the risk that current flights will disrupt scheduled trips and break the sequence of flights flown by the same crew. In this example, the flight from London to Athens is delayed, putting the remainder of Trip 312 at high risk for disruption. The crew scheduler can take a closer look at the flight to get more details and take action if necessary.
Decision-making with a digital twin.
Scorecard of decisions
Simulation flight map
Real-time flight map
How it works
Real-time flight map
The simulation flight map assesses potential actions to repair the trip: swap crew, use reserve crew, or hold crew. A combination of what-if analyses and simulation models are used to evaluate these three actions against operational performance and cost—the result is a recommended option for the crew scheduler. In this example, given there is a delay in the flight from London to Athens, the recommendation is to fly reserve crew from Paris to Greece to complete the remaining trip on time.
Simulation flight map
The crew scheduler’s decisions are scored daily and in real-time against key performance indicators, such as following the recommended actions, using premium pay, and completing trips. The AI coach also provides rapid, personalized feedback and guidance to the crew scheduler based on their performance. In this example, the crew scheduler can watch a video to further their understanding of when to swap crew.
Scorecard of decisions
How it works
Scorecard of decisions
Simulation flight map
Real-time flight map
How it works
Simulation flight map
Real-time flight map
Scorecard of decisions
Simulation flight map
How it works
Real-time flight map
Scorecard of decisions
Simulation flight map