SciELO - Scientific Electronic Library Online

 
vol.23 número1Estudio de la Incertidumbre en la Programación de Actividades usando la Matriz de Estructura DependienteMetodología basada en el Modelo de Referencia para Cadenas de Suministro para Analizar el Proceso de producción de Biodiesel a partir de Higuerilla índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Información tecnológica

versión On-line ISSN 0718-0764

Resumen

RUIZ, Santiago; CASTRILLON, Omar D  y  SARACHE, William A. A Multiobjective Methodology to Optimize a Job Shop Environment. Inf. tecnol. [online]. 2012, vol.23, n.1, pp. 35-46. ISSN 0718-0764.  http://dx.doi.org/10.4067/S0718-07642012000100005.

The development of a methodology that contains a metaheuristic model based on the Elitist Non-Dominated Sorting Genetic Algorithm (NSGA-II) in a job shop production environment. This is to minimize three main process variables: total time of processing (makespan time), energy cost and labor accidents. With the application of this methodology, the variables under study were optimized in 42%, compared with traditional production programming techniques. Based on the application of the proposed methodology, it is suggested to explore other multi objective functions in which the consumption of other resources, such as water and fuel can be analyzed in undesirable situations such as transport strike, landslides and traffic congestion.

Palabras clave : job shop; multiobjective; metaheuristic; makespan time.

        · resumen en Español     · texto en Español     · pdf en Español