A two-stage stochastic program for multi-shift, multi-analyst, workforce optimization with multiple on-call options

Douglas S. Altner (), Anthony C. Rojas () and Leslie D. Servi ()
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Douglas S. Altner: The MITRE Corporation
Anthony C. Rojas: The MITRE Corporation
Leslie D. Servi: The MITRE Corporation

Journal of Scheduling, 2018, vol. 21, issue 5, No 4, 517-531

Abstract: Abstract Motivated by a cybersecurity workforce optimization problem, this paper investigates optimizing staffing and shift scheduling decisions given unknown demand and multiple on-call staffing options at a 24/7 firm with three shifts per day, three analyst types, and several staffing and scheduling constraints. We model this problem as a two-stage stochastic program and solve it with a column-generation-based heuristic. Our computational study shows this method only needs 3 min to produce solutions within 6% of a true lower bound of the optimal for 99% of over 150 test cases.

Keywords: Workforce optimization; Shift scheduling; Staffing; Scheduling; On-call options; Stochastic programming; Column generation; Cybersecurity (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10951-017-0554-9

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