Techno-economic analysis for smart hangar inspection operations through sensing and localisation at scale
| dc.contributor.author | Plastropoulos, Angelos | |
| dc.contributor.author | Avdelidis, Nicolas P. | |
| dc.contributor.author | Zolotas, Argyrios | |
| dc.date.accessioned | 2026-02-05T15:29:30Z | |
| dc.date.available | 2026-02-05T15:29:30Z | |
| dc.date.freetoread | 2026-02-05 | |
| dc.date.issued | 2026-12-31 | |
| dc.date.pubOnline | 2025-12-22 | |
| dc.description.abstract | The accuracy, robustness and affordability of localisation are fundamental to autonomous robotic inspection within aircraft maintenance, repair and overhaul (MRO) hangars. Hangars typically have high ceilings and are predominantly steel-framed structures with metal cladding. Because of this, they are regarded as GPS-denied environments, characterised by significant multipath effects and strict operational constraints, which together form a unique challenging setting. The lack of comparative techno-economic benchmarks for localisation technologies in such environments remains a critical gap. Addressing this, the paper presents the first techno-economic analysis that benchmarks motion capture (MoCap), ultra-wideband (UWB) and a ceiling-mounted camera (CMC) system across three operational scenarios: robot localisation, asset monitoring and surface defect detection within a single-bay hangar. A two-stage optimisation framework for camera selection and placement is introduced, which couples market-based camera-lens selection with an optimisation solver, producing camera layouts that minimise hardware while meeting accuracy and coverage targets. The consolidated blueprints provide quantification of the required equipment and its performance: 15 global-shutter GigE cameras are adequate for drone localisation, 9 cameras meet the requirements for on-bay monitoring and 49 high-resolution cameras facilitate defect mapping of the upper airframe surfaces for midsize defects. Across these scenarios, the study reports indicative performance and cost envelopes: a MoCap installation delivers submillimeter localisation at an estimated £190k per bay, UWB delivers centimetre-level tracking for around £49k and the proposed CMC system layouts achieve task-specific coverage with costs in the £9k–£77k range. The analysis equips MRO planners with an actionable method to balance accuracy, coverage and budget, demonstrating that an optimised CMC system can deliver robust and cost-effective sensing for next-generation smart hangars. | |
| dc.description.journalName | The Aeronautical Journal | |
| dc.format.extent | pp. xx-xx | |
| dc.identifier.citation | Plastropoulos A, Avdelidis NP, Zolotas A. (2025) Techno-economic analysis for smart hangar inspection operations through sensing and localisation at scale. The Aeronautical Journal, Available online 22 December 2025 | en_UK |
| dc.identifier.eissn | 2059-6464 | |
| dc.identifier.elementsID | 867456 | |
| dc.identifier.issn | 0001-9240 | |
| dc.identifier.uri | https://doi.org/10.1017/aer.2025.10116 | |
| dc.identifier.uri | https://dspace.lib.cranfield.ac.uk/handle/1826/24795 | |
| dc.language | English | |
| dc.language.iso | en | |
| dc.publisher | Cambridge University Press (CUP) | en_UK |
| dc.publisher.uri | https://www.cambridge.org/core/journals/aeronautical-journal/article/technoeconomic-analysis-for-smart-hangar-inspection-operations-through-sensing-and-localisation-at-scale/288076BC0C6F624BBBBD0A752587762E | |
| dc.rights | Attribution 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | aircraft maintenance | en_UK |
| dc.subject | hangar of the future | en_UK |
| dc.subject | localisation | en_UK |
| dc.subject | monitoring | en_UK |
| dc.subject | MRO | en_UK |
| dc.subject | smart infrastructure | en_UK |
| dc.subject | 40 Engineering | en_UK |
| dc.subject | Generic health relevance | en_UK |
| dc.subject | Aerospace & Aeronautics | en_UK |
| dc.subject | 35 Commerce, management, tourism and services | en_UK |
| dc.title | Techno-economic analysis for smart hangar inspection operations through sensing and localisation at scale | en_UK |
| dc.type | Article | |
| dc.type.subtype | Article | |
| dcterms.dateAccepted | 2025-11-25 |
