MODELING RUNWAY CAPACITY USING MIXED INTEGER PROGRAMMING BASED ON FCFS AND AROT POLICIES

Oki Anita Candra Dewi*
Department of Logistics Engineering, Universitas Internasional Semen Indonesia, Veteran
Road, Gresik, 61122, Indonesia, Email: oki.dewi@uisi.ac.id
Puji Andayani
Department of Informatics Engineering, Universitas Internasional Semen Indonesia,
Veteran Road, Gresik, 61122, Indonesia, Email: puji.andayani@uisi.ac.id
Faisal Riza
Air Traffic Controller, Air Navigation, Juanda, 61253, Indonesia, Email:
ryuganaya@gmail.com

Abstract
Air transportation are often used between islands and countries which have economic advantages over other types of transportation. Technology in aircraft enables an increase in demand from year to year. demand density creates a queue of aircraft on the runway. Airport faced challenge within a key bottleneck in the air transport system and runway schedulling. This study focuses on modeling runways using mixed integer programming with empirical studies at Juanda International Airport, Surabaya. We use runway capacity management baesd on schedulling approach, runway configuration and aricraft separation standard. This study is to minimize aircraft waiting time on the runway before departure and landing in the air with considerable reduction in delays and minimize in fuel cost. We proposed heuristic sequential approach based on FCFS and AROT policies. By conducting research using these methods, it is expected to obtain optimal results to facilitate decision making in daily operations.

Keywords: Air Transportation, Runway Capacity, Mixed Integer Programming, Aircraft Waiting Time

Full Paper: Download Full Paper

Plagiarism Check: Download Check Plagiarism

Peer Review: Download Peer Review