Robust scheduling to minimize the weighted number of late jobs with interval due-date uncertainty

M Drwal - Computers & Operations Research, 2018 - Elsevier
Computers & Operations Research, 2018Elsevier
We consider the class of single machine scheduling problems with the objective to minimize
the weighted number of late jobs, under the assumption that completion due-dates are not
known precisely at the time when decision-maker must provide a schedule. It is assumed
that only the intervals to which the due-dates belong are known. The concept of maximum
regret is used to define robust solution. A polynomial time algorithm is given for the case
when weights of jobs are all equal. A mixed-integer linear programming formulation is …
Abstract
We consider the class of single machine scheduling problems with the objective to minimize the weighted number of late jobs, under the assumption that completion due-dates are not known precisely at the time when decision-maker must provide a schedule. It is assumed that only the intervals to which the due-dates belong are known. The concept of maximum regret is used to define robust solution. A polynomial time algorithm is given for the case when weights of jobs are all equal. A mixed-integer linear programming formulation is provided for the general case, and computational experiments are reported.
Elsevier
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