Flowshop scheduling with set-up, processing and removal times separated

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.