Document Type : Research Paper

Authors

1 Department of Management, Tabriz Branch, Islamic Azad University, Tabriz, Iran.

2 Associate Professor in Department of Applied Mathematic, Azarbayjan Shahid Madani, Iran.

Abstract

Air traffic management is an important job and often faces various problems. One of the most common problems in this area is the issue of aircraft sequencing, which is a multi-dimensional problem due to the large number of flights and their different locational conditions. Previously proposed models Based on First Come, First Service(FCFS) do not takes time factors into account and result on increasing of the delay penalties. In this regard, this article proposes a model in which time is one the managing factors and additional cost due to delay is removed. The proposed model improves the efficiency of flight scheduling, reduces time costs, minimizes delays and reduces fuel consumption. In this model a multi-objective optimization function is used and some expenses such as the cost of apron and parking are reduced. In this study, using the proposed model data set of Shahid Hasheminejad International Airport in Mashhad was analyzed; also they were analyzed using a published model. The results show 5% improvement in the accuracy when the data set were analyzed by proposed model

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