A simheuristic algorithm for the stochastic permutation flow‐shop problem with delivery dates and cumulative payoffs

This paper analyzes the permutation flow‐shop problem with delivery dates and cumulative payoffs (whenever these dates are met) under uncertainty conditions. In particular, the paper considers the realistic situation in which processing times are stochastic. The main goal is to find the permutation...

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Veröffentlicht in:	International transactions in operational research 2021-03, Vol.28 (2), p.716-737
Hauptverfasser:	Villarinho, Pedro A., Panadero, Javier, Pessoa, Luciana S., Juan, Angel A., Oliveira, Fernando L. Cyrino
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms biased‐randomized algorithms cumulative payoffs deliver dates Heuristic methods Operations research permutation flow‐shop problem Permutations Risk analysis simheuristics stochastic processing times Uncertainty
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