Abstract
The competitive environment of the global air transport industry are challenging in this era. The relative efficiency of airports has been one of the important topics in this industry. This paper has investigated a review of the literature on the efficiency of global airport to obtain input and output variables along with queries to experts. This paper proposes a method that integrates Data envelopment analysis (DEA) and Analytic Hierarchy Process (AHP) to evaluate the efficiency in Decision Making Units (DMUs). DEA is used to measure the efficiency by employing linear programming to generate efficiency weights to the symmetric metric. Meanwhile AHP can be used to calculate the weight and rank efficiency of DMUs. The main objective of this study proposes a DEA model is to examine the relative efficiency of Main Airports in Thailand. This information can be used to help stakeholders understand the problem and opportunities of airport operation.
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