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A simheuristic for bi-objective stochastic permutation flow shop scheduling problem

This paper addresses the stochastic permutation flow shop problem (SPFSP) in which the stochastic parameters are the processing times. This allows the modeling of setups and machine breakdowns. Likewise, it is proposed a multi-objective greedy randomized adaptive search procedure (GRASP) coupled wit...

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Autori principali: Eliana María González-Neira, Jairo Rafael Montoya-Torres
Natura: Artigo
Lingua:Inglês
Pubblicazione: Growing Science 2019-04-01
Serie:Journal of Project Management
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Accesso online:http://www.growingscience.com/jpm/Vol4/jpm_2019_4.pdf
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