AIRLINE NETWORK SEAT INVENTORY CONTROL - A FUZZY SET-THEORY APPROACH

This paper considers the Airline Network Seat Inventory Control (ANSIC ) problem. The paper investigates the possibilities of using fuzzy set theory in this field, due to the fact that uncertainty is one of the basic characteristics of future demand. Future demand for different pa ssenger itinerary-fare-class combinations is treated as a fuzzy number . The proposed model attaches tremendous importance to the analyst mak ing the final decision on booking limits. The heuristic algorithm deve loped, belonging to the class of ''greedy'' algorithms, enables the an alyst to generate a large number of different allocation plans in a re latively short lime, analyze the obtained results and choose the final allocation plan.