A two-stage stochastic programming approach to employee scheduling in retail outlets with uncertain demand

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. (C) 2015 Elsevier Ltd. All rights reserved.


Published in:
Omega-International Journal Of Management Science, 53, 97-103
Year:
2015
Publisher:
Oxford, Elsevier
ISSN:
0305-0483
Keywords:
Laboratories:




 Record created 2015-04-13, last modified 2018-01-28


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