THE DEVELOPMENT OF AN EXPERT-SYSTEM IN CABIN CREW PATTERN GENERATION

Cabin crew pattern generation according to flight schedules requires t he intensive use of human experts in a limited time. The patterns gene rated aim to incur minimum cost of crew expenditure to the company. Th e automation of such a planning activity can reduce the pressure on a planner due to the frequently changing flight schedules. This paper de scribes the role of knowledge in the cabin crew pattern generation pro cess from the viewpoint of acquisition, representation and utilization . A hybrid knowledge representation strategy has been adopted in model ing the system. The expert system embraces the important area of domai n knowledge in Duty Travel. The application of the Duty Travel techniq ue can help to reduce the living and accommodation expenses of cabin c rew staying away from base by shortening the whole pattern duration si gnificantly. An iterative verification and validation process has been conducted to ensure the system correctness.