Swissport. Advanced human-AI integration in employee dispatching at Zurich Airport using human feedback induced deep reinforcement learning

dc.contributorRenold, Manuel
dc.contributorVollenweider, Janik
dc.contributorHuber, Marius
dc.contributorCarmignani, Oliver
dc.date.accessioned2025-05-05T07:21:20Z
dc.description.abstractSwissport and ZHAW are collaborating on a new, tailored Deep Reinforcement Learning method with human feedback to enhance resource-efficient dispatching and operational delay reduction. A co-learning approach between the human and AI expert system increases operational awareness and trustworthiness.
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/51070
dc.subjectDeep Reinforcement Learning
dc.subjectHuman-AI Teaming
dc.subjectAircraft Ground Handling
dc.subjectDispatching
dc.subject.ddc000 - Allgemeines, Wissenschaft
dc.subject.ddc620 - Ingenieurwissenschaften und Maschinenbau
dc.subject.ddc658 - General Management
dc.titleSwissport. Advanced human-AI integration in employee dispatching at Zurich Airport using human feedback induced deep reinforcement learning
dc.type00 - Projektde_CH
dspace.entity.typeProject
fhnw.InventedHereYes
fhnw.Project.ContactVollenweider, Janik
fhnw.Project.End2026-10-31
fhnw.Project.FinanceInnosuisse
fhnw.Project.ManagerRenold, Manuel
fhnw.Project.ManagerVollenweider, Janik
fhnw.Project.ManagerBerner, Roman
fhnw.Project.PartnersSwissport
fhnw.Project.Start2023-11-01
fhnw.Project.Statelaufend
fhnw.Project.Typeangewandte Forschung
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutInstitut für Wirtschaftsinformatik
fhnw.strategicActionFieldNew Work
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