A robust basic cyclic scheduling problem
Idir Hamaz (),
Laurent Houssin and
Sonia Cafieri
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Idir Hamaz: LAAS-CNRS, UPS, Université de Toulouse
Laurent Houssin: LAAS-CNRS, UPS, Université de Toulouse
Sonia Cafieri: ENAC, Université de Toulouse
EURO Journal on Computational Optimization, 2018, vol. 6, issue 3, No 5, 313 pages
Abstract:
Abstract This paper addresses the Basic Cyclic Scheduling Problem where the processing times are affected by uncertainties. We formulate the problem as a two-stage robust optimization problem with a budgeted uncertainty set. More precisely, we consider the uncertainty set introduced by Bertsimas and Sim (Oper Res 52(1):35–53, 2004) where the activity durations are subject to interval uncertainty and the level of robustness is controlled by a parameter. We propose three exact algorithms for solving the problem. Two of them use a negative circuit detection algorithm as a subroutine, and the last one is a Howard’s algorithm adaptation. Results of numerical experiments on randomly generated instances show that the Howard’s algorithm adaptation yields efficient results and opens perspectives on more difficult robust cyclic scheduling problems.
Keywords: Robust optimization; Cyclic scheduling; Dynamic programming; 90-08; 90B35; 90B36 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (4)
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DOI: 10.1007/s13675-018-0100-3
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