TY - GEN
T1 - Developing A Dynamic Queueing Model for the Airport Check-in Process
AU - Zhou, Yanlin
AU - Anderson, Ryan
AU - Vakilzadian, Hamid
AU - Moeller, Dietmar P.F.
AU - Deutschmann, Andreas
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/18
Y1 - 2018/10/18
N2 - This paper devises a dynamic queueing model for the airport check-in process. The airport scheduling system is highly dynamic, for it is inherently highly dimensional and takes input from a various of involved parties, i.e., passengers, airport staff, airport infrastructure, airline companies and etc. The proposed model presents a top-down focus to guarantee a reliable, punctual and efficient check-in scheduling scheme and is later generalized from bottom-up to be applicable for other processes. In our work, we design a flow logic and derive the framework analytically with MATLAB. Then the simulation of service time and arrival distribution are provided. In the Experiment, the real data collected from Hamburg International Airport was fed into the model and achieved satisfying results. Both analytically and experimentally, we prove that our model is capable of solving dynamic queueing problems.
AB - This paper devises a dynamic queueing model for the airport check-in process. The airport scheduling system is highly dynamic, for it is inherently highly dimensional and takes input from a various of involved parties, i.e., passengers, airport staff, airport infrastructure, airline companies and etc. The proposed model presents a top-down focus to guarantee a reliable, punctual and efficient check-in scheduling scheme and is later generalized from bottom-up to be applicable for other processes. In our work, we design a flow logic and derive the framework analytically with MATLAB. Then the simulation of service time and arrival distribution are provided. In the Experiment, the real data collected from Hamburg International Airport was fed into the model and achieved satisfying results. Both analytically and experimentally, we prove that our model is capable of solving dynamic queueing problems.
KW - Dynamic Modeling
KW - Logistic Management
KW - Queueing
KW - Scheduling
UR - http://www.scopus.com/inward/record.url?scp=85057096965&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85057096965&partnerID=8YFLogxK
U2 - 10.1109/EIT.2018.8500118
DO - 10.1109/EIT.2018.8500118
M3 - Conference contribution
AN - SCOPUS:85057096965
T3 - IEEE International Conference on Electro Information Technology
SP - 871
EP - 876
BT - 2018 IEEE International Conference on Electro/Information Technology, EIT 2018
PB - IEEE Computer Society
T2 - 2018 IEEE International Conference on Electro/Information Technology, EIT 2018
Y2 - 3 May 2018 through 5 May 2018
ER -