TY - GEN
T1 - A matheuristic approach for finding effective base locations and team configurations for north west air ambulance
AU - Boyacl, Burak
AU - Nayeem, Muhammad Ali
AU - Kheiri, Ahmed
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/7/7
Y1 - 2021/7/7
N2 - North West Air Ambulance (NWAA) provides helicopter emergency medical service to the Northwest of England. Their three healthcare teams provide their service from two bases with three helicopters. They face some research questions to understand the impact of the air ambulance base locations and the healthcare teams' composition on their services. This paper aims to address those questions by modelling their operations into a location-related decision problem. Then we developed a matheuristic approach to solving the model and generated many realistic instances from historical data to validate our proposed approach's robustness. With the help of our experimental results, we examine the effect of adjusting air ambulance base locations as well as team configurations on the service quality measures to answer the research questions.
AB - North West Air Ambulance (NWAA) provides helicopter emergency medical service to the Northwest of England. Their three healthcare teams provide their service from two bases with three helicopters. They face some research questions to understand the impact of the air ambulance base locations and the healthcare teams' composition on their services. This paper aims to address those questions by modelling their operations into a location-related decision problem. Then we developed a matheuristic approach to solving the model and generated many realistic instances from historical data to validate our proposed approach's robustness. With the help of our experimental results, we examine the effect of adjusting air ambulance base locations as well as team configurations on the service quality measures to answer the research questions.
KW - facility location problem
KW - matheuristics
KW - real-world application
UR - http://www.scopus.com/inward/record.url?scp=85111068911&partnerID=8YFLogxK
U2 - 10.1145/3449726.3463151
DO - 10.1145/3449726.3463151
M3 - Conference contribution
AN - SCOPUS:85111068911
T3 - GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion
SP - 1817
EP - 1824
BT - GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion
PB - Association for Computing Machinery
T2 - 2021 Genetic and Evolutionary Computation Conference, GECCO 2021
Y2 - 10 July 2021 through 14 July 2021
ER -