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Flow Shop Scheduling with Stochastic Reentry

von Aspern, Maximilian et al.
arXiv (OAI Expanded) · Papers
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data-structures-and-algorithmsdiscrete-mathematicsoptimization-and-control
We study flow shop scheduling with stochastic reentry, where jobs must complete multiple passes through the entire shop, and the number of passes that a job requires for completion is drawn from a discrete probability distribution. The goal is to find policies that minimize performance measures in e
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