A two-stage stochastic programming approach to employee scheduling in retail outlets with uncertain demand
- Submitting institution
-
The University of Manchester
- Unit of assessment
- 12 - Engineering
- Output identifier
- 51228415
- Type
- D - Journal article
- DOI
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10.1016/j.omega.2015.01.003
- Title of journal
- Omega (United Kingdom)
- Article number
- -
- First page
- 97
- Volume
- 53
- Issue
- -
- ISSN
- 0305-0483
- Open access status
- Out of scope for open access requirements
- Month of publication
- June
- Year of publication
- 2015
- 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
-
1
- Research group(s)
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F - EEE
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work led to the collaboration with Migros (Switzerland''s largest retail company) to reduce amount of under/overstaffing. Numerical results based on store data showed that the proposed scheduler can reduce the weekly amount of under/overstaffing by 10%-30% over the deterministic schedule.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
