Scheduling internal audit activities: a stochastic combinatorial optimization problem

Roberto Rossi (), S. Armagan Tarim (), Brahim Hnich (), Steven Prestwich () and Semra Karacaer ()
Additional contact information
Roberto Rossi: University College
S. Armagan Tarim: Hacettepe University
Brahim Hnich: Izmir University of Economics
Steven Prestwich: University College
Semra Karacaer: Hacettepe University

Journal of Combinatorial Optimization, 2010, vol. 19, issue 3, No 5, 325-346

Abstract: Abstract The problem of finding the optimal timing of audit activities within an organisation has been addressed by many researchers. We propose a stochastic programming formulation with Mixed Integer Linear Programming (MILP) and Constraint Programming (CP) certainty-equivalent models. In experiments neither approach dominates the other. However, the CP approach is orders of magnitude faster for large audit times, and almost as fast as the MILP approach for small audit times. This work generalises a previous approach by relaxing the assumption of instantaneous audits, and by prohibiting concurrent auditing.

Keywords: Uncertainty; Audit scheduling; Combinatorial optimization; Mathematical programming; Constraint programming (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10878-009-9207-z

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