STATISTICAL META-MODEL FOR AIR TRAFFIC FLOW AND CAPACITY MANAGEMENT BASED ON AIRSPACE OPTIMIZATION-SIMULATION: THE CONTINUOUS CHALLENGE OF THE HUB OF THE AMERICA CONGESTION

Author

Juan Marcos Castillo

ORCID Identifier(s)

0000-0003-4338-326X

Graduation Semester and Year

2018

Language

English

Document Type

Dissertation

Degree Name

Doctor of Philosophy in Industrial Engineering

Department

Industrial and Manufacturing Systems Engineering

First Advisor

Sheik Imrhan

Second Advisor

Erick C Jonec

Abstract

Panama is only Country on the Americas with a Canal and the hub of Logistics that include the interaction of the Atlantic and the Pacific in a less than a day. This Logistics growth after the Panama Canal Expansion resulted in an overwhelming growth in Aviation. Furthermore, the economic and Logistic growth at Panama is increasing the demand of air transportation and it is creating potential for Air Logistics. Thus, the air traffic congestion is one of the greatest challenges that the Aviation Industry is seeking to address. The objective of this research is to understand if the Air Traffic Congestion in Panama can be reduced through minimizing the impact of historical congestion variables. In order to meet this objective, three specific criteria are investigated as follows: • Specific Objective #1: Determine which variables are most relevant to minimize Air Traffic Congestion. • Specific Objective #2: Determine the significance of the variables and their impact on the Air Traffic Congestion. • Specific Objective #3: Identify the cost effectiveness of the variables on Air Traffic Congestion. A statistical Meta-Model that includes Cause and Effect Analysis, Design and Analysis of Computer Experiments, Linear Regression, Mixed Integer Linear Programming, and Engineering Economics is used to address Air Traffic Flow and Capacity Management Uncertainty over the Congestion at the Airspace in Panama.

Keywords

Air traffic flow and capacity management, Mixed integer linear programming, Statistical meta-model, Uncertainty

Disciplines

Engineering | Operations Research, Systems Engineering and Industrial Engineering

License

This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.

Comments

Degree granted by The University of Texas at Arlington

Recommended Citation

Castillo, Juan Marcos, "STATISTICAL META-MODEL FOR AIR TRAFFIC FLOW AND CAPACITY MANAGEMENT BASED ON AIRSPACE OPTIMIZATION-SIMULATION: THE CONTINUOUS CHALLENGE OF THE HUB OF THE AMERICA CONGESTION" (2018). Industrial, Manufacturing, and Systems Engineering Dissertations. 135.
https://mavmatrix.uta.edu/industrialmanusys_dissertations/135