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• W2043936770 abstract "This paper addresses the identical parallel machine lot-sizing and scheduling problem with sequence-dependent set-up costs and uncertain processing times. The evolution of the uncertain parameters is modelled by means of a scenario tree, giving rise to a multistage stochastic mixed-integer program. Fix-and-relax procedures, exploiting the specific structure of the problem, are developed and compared. Computational results on a large set of randomly generated instances show that the gap between the best heuristic solutions and the lower bounds provided by a truncated branch-and-bound never exceeds 3%." @default.
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• W2043936770 date "2006-05-01" @default.
• W2043936770 modified "2023-10-02" @default.
• W2043936770 title "Scenario-based planning for lot-sizing and scheduling with uncertain processing times" @default.
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• W2043936770 doi "https://doi.org/10.1016/j.ijpe.2005.05.018" @default.
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