Swissport. Advanced human-AI integration in employee dispatching at Zurich Airport using human feedback induced deep reinforcement learning
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DOI of the original publication
Project type
angewandte Forschung
Project start
01.11.2023
Project end
31.10.2026
Project status
laufend
Project contact
Project manager
Description
Abstract
Swissport 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.
Link
Created during FHNW affiliation
Yes
Strategic action fields FHNW
New Work
School
Hochschule für Wirtschaft FHNW
Institute
Institut für Wirtschaftsinformatik
Financed by
Innosuisse
Project partner
Swissport
Contracting authority
SAP reference
Keywords
Deep Reinforcement Learning
Human-AI Teaming
Aircraft Ground Handling
Dispatching
Human-AI Teaming
Aircraft Ground Handling
Dispatching