Abstract
Algorithms are developed for finding an optimal or near-optimal permutation schedule for the static flowshop scheduling problem where set-up, processing, and removal times are separable. Computational experience with the proposed heuristic algorithms indicates that they are quite effective in minimizing the makespan for a given problem.
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