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Growing Science » Journal of Project Management » Optimization model of staffing for aircraft ground handling in the case of personnel substitutability

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Journal of Project Management
ISSN 2371-8374 (Online) - ISSN 2371-8366 (Print)
Quarterly Publication
Volume 9 Issue 3 pp. 255-268, 2024

Optimization model of staffing for aircraft ground handling in the case of personnel substitutability Pages 255-268 Right click to download the paper Download PDF

Authors: Jakub Cíleček, Dušan Teichmann, Stanislav Szabo

📋 Author Affiliations:
J. Cíleček1, D. Teichmann ORCID 1, S. Szabo2
1 Institute of Transport, Faculty of Mechanical Engineering, VSB – Technical University of Ostrava, Poruba, Ostrava, 708 33, Czech Republic
2 Security and Defense Industry Association of the Slovak Republic, Trencin, 911 01, Slovakia
doi 10.5267/j.jpm.2024.4.002
3 Source: Scopus
Crossref Source: CrossRef

🔑 Keywords: Optimization, Mathematical modeling, Aircraft, Ground handling, Substitutability

Abstract: The presented article deals with the mathematical modeling of aircraft ground handling on the service apron to utilize ground personnel more efficiently in the case of existing substitutability of workers. This article proposes a supporting decision-making tool for effective planning of the aircraft ground handling. This tool will be used for a selected type of aircraft and using the minimum number of personnel participating in the aircraft ground handling procedure. The optimization is based on the original mathematical programming model and its solution. Computational experiments verifying the functionality of the proposed model were performed on current data from the Ostrava International Regional Airport in the Czech Republic. The originality of the proposed approach (apart from the original model) comes with introducing the substitutability of workers of individual qualifications and the decomposition of workgroups composed of workers of the same qualification down to the level of individual workers. Above-mentioned decomposition of workgroups enables the flexible and separate transfer of individual workers included in the same groups between activities in the event of downtime of the given group and the existence of an activity that is not covered by the required number of workers. The substitutability of workers and the decomposition of individual groups down to the level of individual workers will make it possible to lower the number of workers or verify that the number of workers is optimal and eliminate potential staff downtime.

How to cite this paper
APA: Cíleček, J., Teichmann, D & Szabo, S. (2024). Optimization model of staffing for aircraft ground handling in the case of personnel substitutability. Journal of Project Management, 9(3), 255-268.
Chicago/Turabian: Cíleček, J., Teichmann, D & Szabo, S. 2024. "Optimization model of staffing for aircraft ground handling in the case of personnel substitutability." Journal of Project Management 9, no. 3 (2024): 255-268.
AMA: Cíleček, J., Teichmann, D & Szabo, S. Optimization model of staffing for aircraft ground handling in the case of personnel substitutability. Journal of Project Management. 2024;9(3):255-268.

References
Al-Bazi, A., Gok, Y. S., Ozturk, C., & Guimarans, D. (2016). Developing a mathematical model for scheduling of turnaround operations (low cost airline as a case study). In International Aviation Management Conference (IAMC 2016).
Andreatta, G., De Giovanni, L., & Monaci, M. (2014). A fast heuristic for airport ground-service equipment–and–staff allocation. Procedia-Social and Behavioral Sciences, 108, 26-36.
Arena, M., & Aprea, C. (2021). Impact of COVID-19 pandemic on air transport: Overview and implications. Advances in Environmental and Engineering Research, 2(1), 1-14.
Ashford, N. J., Stanton, H. M., Moore, C. A., Coutu, P., & Beasley, J. R. (2015). Operações Aeroportuárias. Bookman Editora.
Bassett, E. E., et al. (2000). Statistics: problems and solutions, Second edition, Singapore: World Scientific, ISBN 981-02-4321-9.
Endrizalová, E., Němec, V., Szabo, S., & Radovan, S. (2016). Dynamic mathematical model of ground support equipment utilization in aircraft technical handling. In Proceedings of 20th International Conference Transport Means (pp. 759-762).
Evler, J., Asadi, E., Preis, H., & Fricke, H. (2018). Stochastic control of turnarounds at HUB-airports. Proceedings of the Eighth SESAR Innovation Days, Salzburg, Austria, 3-7.
Field, M., S. Keller, L.S. (1998), Project management, London: International Thomson Business Press, ISBN 1-86152-274-6.
Fricke, H., & Schultz, M. (2008, June). Improving aircraft turn around reliability. In Third International Conference on Research in Air Transportation (pp. 335-343).
Kabongo, P. C., Ramos, T. M. F., Leite, A. F., Ralha, C. G., & Weigang, L. (2016, November). A multi-agent planning model for airport ground handling management. In 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) (pp. 2354-2359). IEEE.
Kazda, A., & Caves, R. E. (Eds.). (2010). Airport design and operation. Emerald Group Publishing Limited.
Kierzkowski, A., & Kisiel, T. (2017). A simulation model of aircraft ground handling: case study of the Wroclaw airport terminal. In Information Systems Architecture and Technology: Proceedings of 37th International Conference on Information Systems Architecture and Technology–ISAT 2016–Part III (pp. 109-125). Springer International Publishing.
Kroese, D. P., Taimre, T., & Botev, Z. I. (2011). Handbook of Monte Carlo Methods. John Willey & Sons. Inc., Hoboken, New Jersey.
Kwasiborska, A. (2010). Modelling of ground handling operations at airport. Journal of KONES, 17(3), 253-261.
Lockyer, K. G., & Gordon, J. (1991). Critical path analysis and other project network techniques. Financial Times/Prentice Hall.
Malandri, C., Mantecchini, L., & Reis, V. (2019). Aircraft turnaround and industrial actions: How ground handlers' strikes affect airport airside operational efficiency. Journal of Air Transport Management, 78, 23-32.
Mamdouh, M., Ezzat, M., & Hefny, H. A. (2020). Airport resource allocation using machine learning techniques. Inteligencia Artificial, 23(65), 19-32.
Maylor, H. (2010). Project management, Harlow: Financial Times Prentice Hall, 4th ed., ISBN 978-0-273-70432-4.
Meredith, J.R., & Mantel S.J. (2003). Project management: a managerial approach, 5th ed., New York: Wiley, ISBN 0-471-07323-7.
Okwir, S., Ulfvengren, P., Angelis, J., Ruiz, F., & Guerrero, Y. M. N. (2017). Managing turnaround performance through collaborative decision making. Journal of Air Transport Management, 58, 183-196.
Popova-Zeugmann, L. (2013). Time and Petri net, Heidelberg: Springer, ISBN 978-3-642-41114-4.
Shen, C. W., Peng, Y. T., & Tu, C. S. (2019). Multi-criteria decision-making techniques for solving the airport ground handling service equipment vendor selection problem. Sustainability, 11(12), 3466.
Schmidt, M. (2017). A review of aircraft turnaround operations and simulations. Progress in Aerospace Sciences, 92, 25-38.
Schultz, M. (2018). Fast aircraft turnaround enabled by reliable passenger boarding. Aerospace, 5(1), 8.
Schultz, M., Evler, J., Asadi, E., Preis, H., Fricke, H., & Wu, C. L. (2020). Future aircraft turnaround operations considering post-pandemic requirements. Journal of Air Transport Management, 89, 101886.
Strakova, E., & Mrva, P. (2011). Analysis the Utilization of Ground Support Equipment in Aircraft Ground Handling, New trends in civil aviation 2011, CTU in Prague, Publisher CTU in Prague, pp. 113-116, ISBN 978-80-01-04893-1
Tabares, D. A., Mora-Camino, F., & Drouin, A. (2021). A multi-time scale management structure for airport ground handling automation. Journal of Air Transport Management, 90, 101959.
Teichmann, D., & Dorda, M. (2016). About an Unconventional Application of Assignment Problem, SSOV proceedings, available online: http://www.fhi.sk/files/katedry/kove/ssov/proceedings/Zbornik2016.pdf
Van Blokland, W. B., Santema, S. C., Huijzer, R., & Stals, R. (2008). Future airport turnaround ground handling processes. How to reduce the turn around time of aircraft at the airport. In 10th TRAIL Congress; TRAIL in perspective (pp. 1-25). TRAIL Research school.
Vidosavljevic, A., & Tosic, V. (2010, July). Modelling of turnaround process using petri nets. In Air Transport Research Society (ATRS) World Conference.
Weigert, D., Rettmann, A., Alomar, I., & Tolujew, J. (2018, April). Shortening the turnaround times of aircraft by improving ground handling processes through a simulation study. In 2018 4th International Conference on Logistics Operations Management (GOL) (pp. 1-8). IEEE.
Wilson, M. A. (2003, September). Collaborative decision making: Building consensus group decisions for project success. In Proceedings of the Project Management Institute Global Congress, North America, Baltimore, MD, USA (pp. 1-7).
Winston, W. L. (2003), Operation Research, 4, ISBN 9780534380588
Wu, C. L., & Caves, R. E. (2004a). Modelling and optimization of aircraft turnaround time at an airport. Transportation Planning and Technology, 27(1), 47-66.
Wu, C. L., & Caves, R. E. (2004b). Modelling and simulation of aircraft turnaround operations at airports. Transportation Planning and Technology, 27(1), 25-46.
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📚 Journal: Journal of Project Management | 📅 Year: 2024 | 📖 Volume: 9 | 📄 Issue: 3 | 👁️ Views: 1530 | 📊 Crossref:

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