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Autores Ronquillo Horsten, Luis, Aranda Beltrán, Carolina, Pando Moreno, Manuel
Publicado 2014-12-21
Palabra clave:
Publicado 2014-12-21
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Autores Coca Ortegón, Germán Augusto, Castrillón Gómez, Ómar Danilo, Ruiz Herrera, Santiago
Publicado 2013-10-16
Descripción:
“...For this purpose, are taken and fused elements of genetic algorithms Vega and Moga, through the following steps: generating the initial population, form the new population, obtaining the appropriate analysis of variance and finally compared with a hybrid method of weighted sums and genetic algorithms.According to the above, when evaluating the solution faster processing time corresponding to the method based on algorithms Vega and Moga, respect to the solution faster processing time calculated from the method based on weighted sums and genetic algorithms, states that the first one exceeds the second performance as: for process time variable (in hours) at 27.86%, for variable in process time (in weeks) at 1.25%, in terms of the variable cost of direct labor in 6.73% and, as to the variable defective fraction in 25.85%.Sumário:Neste artigo apresentamos uma metodologia que visa minimizar ao mesmo tempo, em um ambiente de produção tipo “job shop” para uma empresa de engenharia, as seguintes variáveis: tempo de processo, custo de mão de obra direta e também a fração defeituosa gerada pela fadiga do operador. ...”Publicado 2013-10-16
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Palabra clave:
“...Human talent management, human resources, organization, job performance, private security, Villavicencio....”
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