Design of Optimum Commercial Airline Fare Using a Hybrid Algorithm of AHP, DEMATEL-ANP and Goal Programming

Abstract

Designing airfare is a way to manage the competitiveness level and increase market
share to enhance profitability. Implementation of a pricing strategy becomes very
important for the airline since determining its airfare is known as a very complex process.
This research aims to find the optimum airfare based on the schedule in the tourist-based
destination during peak season by sequential method comprised of Analytical Hierarchy
Process (AHP), Decision-Making Trial and Evaluation Laboratory - Analytic Network
Process (D-ANP) and Goal Programming. The case study of this research applied to an
Indonesian airline company