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• W2944472270 abstract "We consider the robust version of single machine scheduling problem with the objective to minimize the weighted number of jobs completed after their due-dates. The jobs have uncertain processing times represented by intervals, and decision-maker must determine their execution sequence that minimizes the maximum regret. We develop an exact solution algorithm based on a specialized branch and bound method, using mixed-integer linear programming formulations for a common due-date and for job-dependent due-dates. Finally, we examine the solution algorithm in a series of computational experiments." @default.
• W2944472270 created "2019-05-16" @default.
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• W2944472270 date "2019-05-10" @default.
• W2944472270 modified "2023-10-18" @default.
• W2944472270 title "Robust min–max regret scheduling to minimize the weighted number of late jobs with interval processing times" @default.
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• W2944472270 doi "https://doi.org/10.1007/s10479-019-03263-6" @default.
• W2944472270 hasPublicationYear "2019" @default.
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