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EN
The paper considers the problem of preemptive scheduling in a two-stage flowshop with parallel unrelated machines at the first stage and a single machine at the second stage. At the first stage, jobs use some additional renewable resources which are available in limited quantities. The resource requirements are of 0-1 type. The objective is minimization of the makespan. The problem is NP-hard. We develop heuristic algorithms which first solve the problem occurring at stage 1, and then find a final schedule in the flowshop. An extensive computational experiment shows that the proposed heuristic algorithms can be an efficient tool capable of finding good quality solutions.
EN
The paper considers the problem of preemptive scheduling in a two-stage flowshop with parallel unrelated machines at the first stage and a single machinne at the second stage. At the first stage jobs require some amounts of additional renewable resources. The objective is the minimization of the makespan. The problem is NP-hard. A heuristic which combines column generation technique with a genetic algorithm is proposed. Several problems with randomly generated parameters are solved. The results indicate that the heuristic is a promising tool for solving the considered problem.
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