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A two-stage stochastic programming approach to employee scheduling in retail outlets with uncertain demand
KTH, School of Electrical Engineering (EES), Automatic Control.
2015 (English)In: Omega: The International Journal of Management Science, ISSN 0305-0483, E-ISSN 1873-5274, Vol. 53, 97-103 p.Article in journal (Refereed) Published
Abstract [en]

This paper describes an employee scheduling system for retail outlets; it is a constraint-based system that exploits forecasts and stochastic techniques to generate schedules meeting the demand for sales personnel. Uncertain scenarios due to fluctuating demand are taken into account to develop a stochastic operational optimization of staffing levels. Mathematically, the problem is stated as a mixed-integer linear programming problem. Simulations with store data belonging to a major Swiss retailer show the effective performance of the proposed approach. The schedule quality is assessed through comparison with a deterministic scheduling package, which has been used at several outlets in Switzerland.

Place, publisher, year, edition, pages
2015. Vol. 53, 97-103 p.
Keyword [en]
Decision making/process, Stochastic programming, Scheduling, Decision support systems, Integer programming, Operational/OR, Optimization, Resource management
National Category
Economics and Business Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-163939DOI: 10.1016/j.omega.2015.01.003ISI: 000350936000011Scopus ID: 2-s2.0-84921713375OAI: oai:DiVA.org:kth-163939DiVA: diva2:810551
Note

QC 20150507

Available from: 2015-05-07 Created: 2015-04-13 Last updated: 2017-12-04Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf