Data set for aircraft maintenance task allocation
doi:10.4121/19407533.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
doi: 10.4121/19407533
doi: 10.4121/19407533
Datacite citation style:
QICHEN DENG (2022): Data set for aircraft maintenance task allocation. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19407533.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
The data set is for aircraft maintenance task allocation, collected from a major European airline. It consists of the detail of aircraft maintenance tasks for an A320 fleet of 45 aircraft. The maintenance tasks can be allocated using a bin packing approach given a maintenance check schedule.
history
- 2022-03-25 first online, published, posted
publisher
4TU.ResearchData
format
MS Excel, .xlsx
Text file, .txt
associated peer-reviewed publication
A bin packing approach to solve the aircraft maintenance task allocation problem
references
language
en-us
funding
- Clean Sky 2 Joint Undertaking, 68185
organizations
TU Delft, Faculty of Aerospace Engineering Control & Operations Aerospace Transport & Operations
DATA
files (2)
- 3,223 bytesMD5:
e7a5c544153755332d4be0d6ead1ff9c
README (Case Study 2018-2021).txt - 7,753,637 bytesMD5:
64eacb12f5025e45442e19ca3515f67d
Task Allocation Input 2018-2021.xlsx -
download all files (zip)
7,756,860 bytes unzipped