End-to-end process enhancement for Crew management

Motivation and Value Proposition

• Our employees are the most valuable assets of our company
• Therefore crew management is one of our key processes, as the process ensures that the right people are on the right flight at the right time
• Irregularities, like lack of crew causes flight cancellations or delays
• Ineffective crew planning leads to unproductive crews and imbalanced utilization
• Currently crew management and crew staffing is based on expert knowledge, human decision making and sub-process optimization
• The next step is "end-to-end" transparency and a holistic optimum, from capacity planning to the actual flight event
• Improved crew processes lead to a higher utilization of crews, better prediction of deviations and reduction of process cost
• Process prediction and data driven decision support for crew planners reduces complexity, rework and effort in crew management
• Improved process handling plays well with Lufthansa CityLine’s continuous improvement program and other process improvement initiatives
• Advanced process steering reduces need for standby crews and improves utilization, fair crew schedules and crew happiness

Content / Deliverables

• Process analysis: As-is analyses of the current process and implications on crew staffing, standby planning and productivity of crews.
• Process prediction: Design and implementation of a prediction model / steering triggers for the crew management process: identify proper data points, link process and master data, choose and implement proper prediction algorithms / triggers (e.g. clustering – freely selectable) .
• Process steering: Define measures to avoid process deviations collaboratively with business areas and implement proper monitoring of measures.
• Operations: For all three topics, keep maintainability, performance and scalability in mind; the prediction model must be adaptable to more staff.