Session
Computer Science and Communication Engineering
Description
Paper presents the simulation models built within an airport ground crew scheduling automatization project at a regional airport. Our goal was to develop robust ground crew task scheduling and shift generation algorithms that would improve on existing heuristic rules. We have utilized simulation modeling to develop and validate the algorithms, starting with a model of the existing scheduling process coded and visualized in spreadsheet software and ending with a hybrid Discrete Event and Agent Based model used for the visualization and verification of the optimized processes. Explicit and tacit expert knowledge was recorded through meetings with airport personnel managers and observation of the ground crew processes. Gathered knowledge was combined with business rules, contractual limitations and labor legislation to develop the final version of the algorithms.
Keywords:
personnel scheduling, airport ground crews, simulation modelling, optimization
Session Chair
Zhilbert Tafa
Session Co-Chair
Xhafer Krasniqi
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-437-69-1
Location
Pristina, Kosovo
Start Date
27-10-2018 1:30 PM
End Date
27-10-2018 3:00 PM
DOI
10.33107/ubt-ic.2018.109
Recommended Citation
Rodic, Blaz and Baggia, Alenka, "Simulation Based Optimisation of Ground Crews: Case of a Regional Airport" (2018). UBT International Conference. 109.
https://knowledgecenter.ubt-uni.net/conference/2018/all-events/109
Simulation Based Optimisation of Ground Crews: Case of a Regional Airport
Pristina, Kosovo
Paper presents the simulation models built within an airport ground crew scheduling automatization project at a regional airport. Our goal was to develop robust ground crew task scheduling and shift generation algorithms that would improve on existing heuristic rules. We have utilized simulation modeling to develop and validate the algorithms, starting with a model of the existing scheduling process coded and visualized in spreadsheet software and ending with a hybrid Discrete Event and Agent Based model used for the visualization and verification of the optimized processes. Explicit and tacit expert knowledge was recorded through meetings with airport personnel managers and observation of the ground crew processes. Gathered knowledge was combined with business rules, contractual limitations and labor legislation to develop the final version of the algorithms.