A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty
- Submitting institution
-
University of Nottingham, The
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1321906
- Type
- D - Journal article
- DOI
-
10.1007/s10479-016-2174-8
- Title of journal
- Annals of Operations Research
- Article number
- -
- First page
- 335
- Volume
- 252
- Issue
- 2
- ISSN
- 0254-5330
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 4
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Airlines tend to test schedules through lengthy repeated simulation. The authors’ research resulted in a mixed integer programming simulation scenario model (MIPSSM) approach which greatly increased the speed of this process by mathematically evaluating just a small sample of scenarios, greatly improving the real-world effectiveness of the process. This paper examines the importance of having the right scenarios and presents a novel approach for selecting these scenarios. Evaluation shows that scenario selection is key and that the new algorithm greatly improved performance of the MIPSSM approach, as well as providing key insights into different scenario types.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
