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  • Interval scheduling problem aims at assigning jobs to machines where the job starting and finishing times are known. If random delays influence the job processing times, the objective can be to find a schedule which remains feasible with the highest possible probability. In this paper, we propose the formulations based on stochastic integer programming and robust coloring problems. The second one leads to a large scale binary-linear programming problem.We report first numerical results based on simulated instances.
  • Interval scheduling problem aims at assigning jobs to machines where the job starting and finishing times are known. If random delays influence the job processing times, the objective can be to find a schedule which remains feasible with the highest possible probability. In this paper, we propose the formulations based on stochastic integer programming and robust coloring problems. The second one leads to a large scale binary-linear programming problem.We report first numerical results based on simulated instances. (en)
Title
  • Maximization of schedule reliability under uncertain job processing times
  • Maximization of schedule reliability under uncertain job processing times (en)
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  • Maximization of schedule reliability under uncertain job processing times
  • Maximization of schedule reliability under uncertain job processing times (en)
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  • RIV/00216208:11320/14:10281216!RIV15-MSM-11320___
http://linked.open...avai/riv/aktivita
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  • I, P(GP13-03749P)
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  • 27705
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  • RIV/00216208:11320/14:10281216
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  • robust coloring formulation; stochastic integer programming; stochastic delays; Interval scheduling (en)
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  • [C922AB3163E1]
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  • Prague
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  • Prague
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  • Proceeding of 4th Scientific Colloquium
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  • Branda, Martin
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number of pages
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  • Vysoká škola chemicko-technologická v Praze
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  • 978-80-7080-890-0
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  • 11320
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