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Modelling and Simulation of Nigerian Airspace Management Agency Billing System Using Python Simulation Packages

Received: 29 September 2020     Accepted: 21 October 2020     Published: 16 November 2020
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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.

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

Keywords

Nigerian Airspace Management Agency (NAMA), Air Traffic Control (ATC), Aeronautical Information Services (AIS), Airline Daily Routes (ADR)

References
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[2] Nori Ogura, (2013), “A System Approach to Reducing Utility Billing errors”. School of Management and Engineering Systems, Cornel University, Ithaka, New York.
[3] Maria Reppa, (2008); “Telecommunications Convergent Billing System Evaluation and Methods to Optimize Performance”. Department of Computer Science, University of Hertfordshire.
[4] Kevin A. Jones, (2012): “Automated Coding, Billing and Documentation Support For endoscopy Procedures”. Allied Medicine, The University of Ohio.
[5] Ziya’u Bello, (2014); “Design and Implimentation of SMS based Water Billing System: A case study of Bagudo Local Government area Water Board, Kebbi State". ”epartment of Mathematics, Faculty of Science, usman Dan Fodio University, sokoto State.
[6] Veronika N. (2015); “Numerical Solution of Inventory Balance delay differentia equation”. International Journal Of English Business Managers. Vol 9 (1).
[7] John Alexander Miller, (2004). “Promoting computer literacy through programming Python”. PhD thesis of The University of Michigan.
[8] Lilia Mirgaziyanovna Yusupova1, Irina Arkadevna Kodolova1, Tatyana Viktorovna Nikonova1, Madina Irekovna Agliullina1 & Zarina Irekovna Agliullina1 (2020). “Artificial Intelligence and Its Use in Financial Markets International Journal of Financial Research Vol. 11, No. 5
[9] Dairukina1 K. I. and Demyanova O. V. (2020). “Applying the Process Approach in the Financial Service”. International Journal of Financial Research Vol. 11, No. 5.
[10] Jamal Fattah, Latifa Ezzine, Haj El Moussami and Abdeslam Lachab, (2016); “Analysis of the Performance of inventory Management systems using SCOR model and Batch Deterministic and Stochastic Petri Nets”. International Journal of Engineering Business management.
[11] Firoza Rashid, (2015), “Accounting and Reporting System for airlines Industry: A case Study of BIMAN Bangladesh”. Department Of accounting and Information Systems University of Dhaka.
[12] Muzhir Shaban Al-Ani; Rabah Noory; Dua’a Yaseen Al-Ani (2012) “Billing System Design Based on Internet Environment”. Published in International Journal of Advanced Computer Science and Application. Vol. 3 (9).
[13] Franuois Pellet, (2015). “Computer Simulation: A definition”. University of Munster, Germany.
[14] Dmitry Ziniviev. (2018). “Discrete Event Simulation. It’s Easy with SimPy!” Published by PragPub.
[15] Bart de Jong, (2007); ‘Optimizing Cost Effectiveness and Flexibility in Air Taxis: A case Study of Optimizing Air Taxi Operations”. Business Information Technology department, University of Twente, The Netherlands.
Cite This Article
  • 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

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    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

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    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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  • @article{10.11648/j.ajmcm.20200504.13,
      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}
    }
    

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  • 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
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    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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Author Information
  • Department of Electrical/Electronics and Computer Engineering, Bells University of Technology, Ota, Nigeria

  • Department of Electrical/Electronics and Computer Engineering, Bells University of Technology, Ota, Nigeria

  • Department of Electrical/Electronics and Computer Engineering, Bells University of Technology, Ota, Nigeria

  • Department of Electrical/Electronics and Computer Engineering, Bells University of Technology, Ota, Nigeria

  • Department of Electrical/Electronics and Computer Engineering, Bells University of Technology, Ota, Nigeria

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