Condition-based maintenance for major airport baggage systems
Journal of Manufacturing Technology Management
ISSN: 1741-038X
Article publication date: 17 July 2020
Issue publication date: 24 March 2021
Abstract
Purpose
The aim of this paper is to develop a contribution to knowledge that adds to the empirical evidence of predictive condition-based maintenance by demonstrating how the availability and reliability of current assets can be improved without costly capital investment, resulting in overall system performance improvements
Design/methodology/approach
The empirical, experimental approach, technical action research (TAR), was designed to study a major Middle Eastern airport baggage handling operation. A predictive condition-based maintenance prototype station was installed to monitor the condition of a highly complex system of static and moving assets.
Findings
The research provides evidence that the performance frontier for airport baggage handling systems can be improved using automated dynamic monitoring of the vibration and digital image data on baggage trays as they pass a service station. The introduction of low-end innovation, which combines advanced technology and low-cost hardware, reduced asset failures in this complex, high-speed operating environment.
Originality/value
The originality derives from the application of existing hardware with the combination of edge and cloud computing software through architectural innovation, resulting in adaptations to an existing baggage handling system within the context of a time-critical logistics system.
Keywords
Citation
Koenig, F., Found, P.A., Kumar, M. and Rich, N. (2021), "Condition-based maintenance for major airport baggage systems", Journal of Manufacturing Technology Management, Vol. 32 No. 3, pp. 722-741. https://doi.org/10.1108/JMTM-04-2019-0144
Publisher
:Emerald Publishing Limited
Copyright © 2020, Emerald Publishing Limited