TY - GEN
T1 - Airline Workforce Scheduling Based on Multi-agent Systems
AU - Ceballos Aguilar, Nicolas
AU - Chafloque Mesia, Juan Camilo
AU - Mejía Vera, Julio Andrés
AU - Nait Abdallah, Mohamed Rabie
AU - Zambrano Rey, Gabriel Mauricio
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - This study addresses employee’s scheduling problems of an airline company who are assigned to customer service at an airport. The problem can be defined as a dynamic scheduling problem that includes uncertainties and unexpected environmental changes. Therefore, this paper reports an agent-based simulation model that implements the workforce scheduling problem including features such as personnel skills, preferences, and certain constraints imposed by the airline. Besides the workforce scheduling problem, the proposed approach also integrates the personnel transportation problem, focused on the welfare of the employees upon certain shift conditions defined by the company. The integration of both problems seeks to offer a holistic solution, given the close relationship of both problems. By using agent-based modelling, the proposed approach allows facing the problem complexity, whilst making possible to quickly react to unexpected changes and events which is not possible to achieve with traditional optimization methods.
AB - This study addresses employee’s scheduling problems of an airline company who are assigned to customer service at an airport. The problem can be defined as a dynamic scheduling problem that includes uncertainties and unexpected environmental changes. Therefore, this paper reports an agent-based simulation model that implements the workforce scheduling problem including features such as personnel skills, preferences, and certain constraints imposed by the airline. Besides the workforce scheduling problem, the proposed approach also integrates the personnel transportation problem, focused on the welfare of the employees upon certain shift conditions defined by the company. The integration of both problems seeks to offer a holistic solution, given the close relationship of both problems. By using agent-based modelling, the proposed approach allows facing the problem complexity, whilst making possible to quickly react to unexpected changes and events which is not possible to achieve with traditional optimization methods.
KW - Agent-based scheduling
KW - Optimization
KW - Personnel transportation
KW - Workforce scheduling
UR - http://www.scopus.com/inward/record.url?scp=85113782082&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-80906-5_8
DO - 10.1007/978-3-030-80906-5_8
M3 - Conference contribution
AN - SCOPUS:85113782082
SN - 9783030809058
T3 - Studies in Computational Intelligence
SP - 95
EP - 107
BT - Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future - Proceedings of SOHOMA LATIN AMERICA 2021
A2 - Trentesaux, Damien
A2 - Borangiu, Theodor
A2 - Leitão, Paulo
A2 - Jimenez, Jose-Fernando
A2 - Montoya-Torres, Jairo R.
PB - Springer Science and Business Media Deutschland GmbH
T2 - 1st Latin-American Workshop on Service-Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future, SOHOMA LATIN AMERICA 2021
Y2 - 27 January 2021 through 28 January 2021
ER -