Parallel machine scheduling with general sum of processing time based models

Parallel machine scheduling with general sum of processing time based models

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Article ID: iaor20172806
Volume: 68
Issue: 4
Start Page Number: 799
End Page Number: 814
Publication Date: Aug 2017
Journal: Journal of Global Optimization
Authors:
Keywords: scheduling, manufacturing industries, combinatorial optimization, optimization, programming: dynamic, heuristics
Abstract:

In this paper, we analyse the parallel machine makespan minimization problem with the general sum of processing time based learning or aging effects. First, we prove that an optimal solution to the single machine case can be found by priority rules. Next, for the considered parallel machine problem, we construct the exact dynamic programming algorithm that can operate on real‐valued job processing times, which is the only exact algorithm for the analysed problem. The computational analysis confirms that it can solve optimally moderate problem instances.

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