A combined multi criteria model for aircraft selection problem in airlines

The management of airline companies entails a multitude of critical decisions, with the selection of aircraft standing out as one of the most pivotal. This decision is notably crucial due to the substantial associated costs, amplifying its importance. To navigate such critical decisions with precision, businesses have increasingly turned to decision support systems, artificial intelligence applications, and analytical decision-making methods, aiming to minimize errors and optimize outcomes. This study aims to present an illustrative model by amalgamating the SWARA (Step-wise Weight Assessment Ratio Analysis) and COPRAS (Complex Proportional Assessment) methods, both falling under the umbrella of multi-criteria decision-making approaches. The specific focus is on the significant decision of aircraft selection within airline companies. The study identifies six criteria for assessment: purchase cost, fuel capacity, maximum seat capacity, range, maximum take-off weight, and cargo capacity. Upon scrutinizing the findings, it is evident that the rankings produced by the established mathematical model generally correspond with the preferences seen in the actual aircraft fleets of airline companies. •Aircraft selection is a very costly process and therefore the decision should be made as accurately as possible.•By using more than one mathematical model in combination, the accuracy rate in aircraft selection decisions is increased.•The combined use of SWARA and COPRAS methods produces useful results in aircraft selection decisions.