Cost Determination Modeling Based on Certain Parameters to Increase Operational Capacity of Transport and Military Helicopters (Case Study of a Flight Organization)

Document Type : Research Paper

Authors

1 kashan university

2 university kashan

3 Assistant Professor of Islamic Azad University

10.22034/IAMU.2023.563415.2789

Abstract

This study aims to determine the model for technical and flight costs, and to ready the helicopters for a safe flight, in order to improve the operational capacity of military helicopters. This readiness is done by implementing the flight planning and technical maintenance based on three main components: availability, serviceability, and stability. In this descriptive-analytical study based on theoretical foundations, past experiences and studying the performance of several flight sites of a transport helicopter; parameters of cost determination based on the F.M.P model and math were calculated. Thus, to calculate the cost based on parameters such as: technical work time and periodical checks, the helicopter is non-operational and grounded for a certain period of time. In findings, 3-year performance of several flight sites of transport helicopters from the military and civilian organizations of the country were examined with the view of determining the cost, calculating one hour of flight, and comparing the status of logical profitability in a diagram along with analysis and providing solutions. With proper planning, cost management and accurate and correct credit estimation, it is possible to set up an active flight organization and update it every year to maintain and improve the power of helicopter operation. In addition, suitable motivation of specialized, technical and administrative staff improves the condition of the organization. This motivation along with economic profitability provides the possibility of generalization of similar companies,ultimately.

Keywords

References

  1.  

    Amir Bastaminia, Mohammad Reza Rezaei, Mohammad Hossein Saraei(Fall 2018) The explanation and analysis of social resilience in coping with natural disasters. Disaster Prevention and Management Knowledge (DPMK) iran Quarterly, Vol. 8, No.3, Serial 29. https://www.dpmk.ir 

    Afzal Husain Khan, Mufeed Sharholy, Pervez Alam, Abdullah I. Al-Mansour, Kafeel Ahmad, Mohab Amin Kamal, Shamshad Alam, Md. Nahid Pervez, Vincenzo Naddeo.(2022). Evaluation of cost benefit analysis of municipal solid waste management Systems. www.sciencedirect.com Science 34 (2022) 101997.

    Busamas Dangprok, Korrakot Y. Tippayawong, Nakorn Tippayawong. (2023) Development of a cost optimization model for power generation fromagricultural residual biomass in Thailand www.sciencedirect.comEnergy Reports 9 (2023) 55–62

    Chamila H., Dasanayaka David F. Murphy, Padmi Nagirikandalage, Chamil Abeykoon )2021(The application of management accounting practices towards the sustainable development of family businesses.A critical review. www.journals.elsevier.com/cleaner-environmental-systems         https://doi.org/10.1016/j.cesys.2021.100064.

    Cho, P. Y. (2011). Optimal Scheduling of Fighter Aircraft Maintenance. M.Sc. thesis, Mass schusses Institute of Technology

    Ching-Cheng Chao, Ching-Wen Hsu. (2014). Cost analysis of air cargo transport and effects of fluctuations in fuel price. Journal of Air Transport Management 35 (2014) 51e56. journal homepage: www.elsevier.com/locate/jairtraman

    Fatemeh Kheildar & Parvaneh Samouei. (Winter 2022) Designing multi-objective supply chain design relief services with considering to equipment, screening and fuzzy demand in earthquake using the LP-metric method. Disaster Prevention and Management Knowledge (DPMK) iran Quarterly, Vol. 11, No.4, Serial 42.      https://www.dpmk.ir 

    Francesco Tedesco, Waseem Akram and Alessandro Casavola .(2022).  Model-Based Control Allocation Strategies IFAC PapersOnLine 55-6 (2022) 187–192

    Gurobi Optimization Inc. (2015). Gurobi Optimizer - State of the Art Mathematical Programming Solver. Available from http://www.gurobi.com/products/gurobi-optimizer/gurobi-overview.

    Hao Sun, Ming Yang, Haiqing Wang. (2022). Resilience-based approach to maintenance asset and operational cost planning. journal homepage: www.elsevier.com/locate/psep  Process Safety and Environmental Protection 162 (2022) 987–997.

    Hessam Sarvahed , Kiumars Farahbakhsh , Mohammad Asgari. )2021(Investigating the effective factors in evaluating the job readiness of passenger pilots for flight. Journal of Psychological Science. Iran, Vol. 20, Issue 98, p 247-258, Spring(May) 2021.

    IBM. 2014. IBM ILOG CPLEX Optimizer. (2009). Available from http://www-  1.ibm.com/software/commerce/optimization/cplex-optimizer/ 

    Jamshid Nikzad, Hamidreza Motamed, Pari Mashayekh& Alireza Ghasemi Zad(Summer 2022). Mechanisms of Role-playing NGOs in Crisis Management.Disaster Prevention and Management Knowledge (DPMK) iran Quarterly, Vol. 12, No.2, Serial 44  https://www.dpmk.ir 

    Kozanidis, G. (2008). A Multi objective Model for Maximizing Fleet Availability under the Presence of Flight and Maintenance Requirements Journal of Advanced Transportation, 43, 155-182

    Kluwer Academic Publishers, Boston. (2012). An exact solution algorithm for maximizing the fleet availability of a unit of aircraft subject to flight and   maintenance requirements. European Journal of Operational Research, 242, 631-643

    Katerina Vichova, Martin Hromada, David Rehak. (2017). The use of crisis management information systems in rescue operations of Fire Rescue Service of the Czech Republic. www.sciencedirect.com Procedia Engineering 192 (2017) 947 – 952.

    Kristofer Odolinski, Andrew Smith, Phill Wheat, Jan-Eric Nilsson, Clement Dheilly. (2023). Damage or no damage from traffic: Re-examining marginal cost pricing for rail signalling maintenance. www.elsevier.com/locate/tranpol Transport Policy 131 (2023) 13–21.

    Kamran Gholamizadeh, Esmaeil Zarei, Saman Poursiahbidi, Omid Kalatpour. (2022). A hybrid framework to analyze crisis management system maturity in sociotechnical systems Journal of Safety Science and Resilience 3 (2022) 302–320.

    Martin C. Terblanche, Kenneth R. Uren, George van Schoor. Flight Controller and Low-Cost Test Environment for a Simulated Helicopter. Proceedings of the 19th World Congress the International Federation of Automatic Control Cape Town, South Africa. August 24-29, 2014.

    1. Verhoeffa, W.J.C. Verhagenb, R. Curranb (2015). Maximizing operational readiness in military aviation by optimizing flight and maintenance planning. Available online at http://www.sciencedirect.com.

    Pippin, B. (1998). Allocating Flight Hours to Army Helicopters. M.Sc. thesis, Naval Postgraduate School.

    Raju, V. R. S., Gandhi, O. P., & Deshmukh, S. G.2015. Gavranis, A. & Kozanidis, G. (2015). Flight scheduling and maintenance base planning. Management Science, 35, 1415-1432.

    Skipis, A & Kozanidis, G. (2014). Proceedings of International Conference on Multiple Criteria Decision Making, 18.

    Steuer, R. E. (1986) Multiple Criteria Optimization: theory, computation and application, New York: Wiley.

    Shahin Shahkarami, Irwan Masoodi Asl, Somayeh Hassam. (Summer 2021). Identifying factors affecting coordination factors among disaster management organizations in earthquake-stricken areas of Kermanshah.Disaster Prevention and Management Knowledge (DPMK) iran Quarterly, Vol. 11, No.2, Serial 40.       https://www.dpmk.ir 

    Verhagenb, R. Curranb (2012) Maintenance, Repair, and Overhaul Performance Indicators for Military Aircraft. Defence Science Journal, 62, 83–89

Files

Share

How to cite

Statistics