Revenue generation has a positive and significant effect on the growth of any business. The existing work process in Nigerian Airspace Management Agency (NAMA) billing system creates the loophole for revenue deficit. The need to enhance the billing system of this organization prompted the need for this study. Primary data were collected from NAMA station at Muritala International Airport and its corporate headquarters. The data include the process and time of attending to airlines or their agents (which includes arrival time, service time, departure time, Waiting time etc.), Six months financial statement of NAMA MMIA, Debt profile details for debtors and number of airlines attended to per day. These data formed the input for developing the SimPy model to bring together process based discrete events. Validation was done by comparing the simulated results with the real results using statistical t-test at p less than 0.05 (p<0.05). 15 airlines were considered for 5 months (assuming 30 days per month), making an average of 6 landings per day per route which represents 3 flights within a route per day. The rate is ₦7,000 per one-hour flight per route. The simulation results reveal that with the proposed model ₦23,948,044 was generated as against ₦12,486,680 of the existing system. This represents 191.788% improvement. This result is for Murhitala Muhammed International Airport (local wing) only. The python simulation package (SimPy) used, introduced approval levels for the various department, thereby ensuring no departments’ function was undermined. This model is useful for Airspace management, in that it reduces deficit without any negative impact on the safety and service delivery of airlines.
| Published in | American Journal of Mathematical and Computer Modelling (Volume 5, Issue 4) |
| DOI | 10.11648/j.ajmcm.20200504.13 |
| Page(s) | 109-115 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2020. Published by Science Publishing Group |
Nigerian Airspace Management Agency (NAMA), Air Traffic Control (ATC), Aeronautical Information Services (AIS), Airline Daily Routes (ADR)
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APA Style
Olusanya Olamide Omolara, Amaikwu Chinedu Reginald, Oyediran Mayowa Oyedepo, Elegbede Adedayo Wasiat, Olusesi Ayobami Taiwo. (2020). Modelling and Simulation of Nigerian Airspace Management Agency Billing System Using Python Simulation Packages. American Journal of Mathematical and Computer Modelling, 5(4), 109-115. https://doi.org/10.11648/j.ajmcm.20200504.13
ACS Style
Olusanya Olamide Omolara; Amaikwu Chinedu Reginald; Oyediran Mayowa Oyedepo; Elegbede Adedayo Wasiat; Olusesi Ayobami Taiwo. Modelling and Simulation of Nigerian Airspace Management Agency Billing System Using Python Simulation Packages. Am. J. Math. Comput. Model. 2020, 5(4), 109-115. doi: 10.11648/j.ajmcm.20200504.13
AMA Style
Olusanya Olamide Omolara, Amaikwu Chinedu Reginald, Oyediran Mayowa Oyedepo, Elegbede Adedayo Wasiat, Olusesi Ayobami Taiwo. Modelling and Simulation of Nigerian Airspace Management Agency Billing System Using Python Simulation Packages. Am J Math Comput Model. 2020;5(4):109-115. doi: 10.11648/j.ajmcm.20200504.13
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author = {Olusanya Olamide Omolara and Amaikwu Chinedu Reginald and Oyediran Mayowa Oyedepo and Elegbede Adedayo Wasiat and Olusesi Ayobami Taiwo},
title = {Modelling and Simulation of Nigerian Airspace Management Agency Billing System Using Python Simulation Packages},
journal = {American Journal of Mathematical and Computer Modelling},
volume = {5},
number = {4},
pages = {109-115},
doi = {10.11648/j.ajmcm.20200504.13},
url = {https://doi.org/10.11648/j.ajmcm.20200504.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmcm.20200504.13},
abstract = {Revenue generation has a positive and significant effect on the growth of any business. The existing work process in Nigerian Airspace Management Agency (NAMA) billing system creates the loophole for revenue deficit. The need to enhance the billing system of this organization prompted the need for this study. Primary data were collected from NAMA station at Muritala International Airport and its corporate headquarters. The data include the process and time of attending to airlines or their agents (which includes arrival time, service time, departure time, Waiting time etc.), Six months financial statement of NAMA MMIA, Debt profile details for debtors and number of airlines attended to per day. These data formed the input for developing the SimPy model to bring together process based discrete events. Validation was done by comparing the simulated results with the real results using statistical t-test at p less than 0.05 (p<0.05). 15 airlines were considered for 5 months (assuming 30 days per month), making an average of 6 landings per day per route which represents 3 flights within a route per day. The rate is ₦7,000 per one-hour flight per route. The simulation results reveal that with the proposed model ₦23,948,044 was generated as against ₦12,486,680 of the existing system. This represents 191.788% improvement. This result is for Murhitala Muhammed International Airport (local wing) only. The python simulation package (SimPy) used, introduced approval levels for the various department, thereby ensuring no departments’ function was undermined. This model is useful for Airspace management, in that it reduces deficit without any negative impact on the safety and service delivery of airlines.},
year = {2020}
}
TY - JOUR T1 - Modelling and Simulation of Nigerian Airspace Management Agency Billing System Using Python Simulation Packages AU - Olusanya Olamide Omolara AU - Amaikwu Chinedu Reginald AU - Oyediran Mayowa Oyedepo AU - Elegbede Adedayo Wasiat AU - Olusesi Ayobami Taiwo Y1 - 2020/11/16 PY - 2020 N1 - https://doi.org/10.11648/j.ajmcm.20200504.13 DO - 10.11648/j.ajmcm.20200504.13 T2 - American Journal of Mathematical and Computer Modelling JF - American Journal of Mathematical and Computer Modelling JO - American Journal of Mathematical and Computer Modelling SP - 109 EP - 115 PB - Science Publishing Group SN - 2578-8280 UR - https://doi.org/10.11648/j.ajmcm.20200504.13 AB - Revenue generation has a positive and significant effect on the growth of any business. The existing work process in Nigerian Airspace Management Agency (NAMA) billing system creates the loophole for revenue deficit. The need to enhance the billing system of this organization prompted the need for this study. Primary data were collected from NAMA station at Muritala International Airport and its corporate headquarters. The data include the process and time of attending to airlines or their agents (which includes arrival time, service time, departure time, Waiting time etc.), Six months financial statement of NAMA MMIA, Debt profile details for debtors and number of airlines attended to per day. These data formed the input for developing the SimPy model to bring together process based discrete events. Validation was done by comparing the simulated results with the real results using statistical t-test at p less than 0.05 (p<0.05). 15 airlines were considered for 5 months (assuming 30 days per month), making an average of 6 landings per day per route which represents 3 flights within a route per day. The rate is ₦7,000 per one-hour flight per route. The simulation results reveal that with the proposed model ₦23,948,044 was generated as against ₦12,486,680 of the existing system. This represents 191.788% improvement. This result is for Murhitala Muhammed International Airport (local wing) only. The python simulation package (SimPy) used, introduced approval levels for the various department, thereby ensuring no departments’ function was undermined. This model is useful for Airspace management, in that it reduces deficit without any negative impact on the safety and service delivery of airlines. VL - 5 IS - 4 ER -
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