Anàlisi i potencial millora de models de planificació de personal handling

Abstract

With the increment in the number of flights on the lasts decades, the system has become denser what has caused a significant increment on delays. These delays on airport will be object of study in this project. In airports there is people working, on the so-called Handling companies, who are assisting these flights with different kind of services. To cover these needs, Handling companies need to offer both human and material resources. Throughout this project the methodology in which employees on Handling services are planned is going to be analyzed. The personal planning methodology in the present consists as follows: the airlines give their scheduling to handling companies. After this, every airline has some requirements on who must be where and when, and with this two information, handling companies create their personal panning. Given this actual planning methodology ignores delays, this project is going to not ignore that assumption and force them into the equation of planning. To do so, first of all a specific scheduling will be needed. The one chosen has been Ryanair¿s Scheduling on London Stansted Airport the 29th of September 2019. After this, we¿ll find the delays found on that day together with the previous and following working days (28th ¿ 29th ¿ 30th), and with these delays some delays probability plots will be made for 6 time periods during the day. Once this is done, then a Montecarlo simulation will be made in order to make different scenarios from the original planning considering delays with the help of the plots previously mentioned. Finally, the original planning will be compared with the ones build with the different scenarios created by the simulations, and costs will be analyzed. Taking delays into account, a new planning proposition will be made with the same amounts of employees as with the original, and at the end the author is going to purpose what thinks is the best solution found on the project taking all into account.