The following paper face with an approach to analyse a multi model manual assembly line, and the following heuristic algorithm to optimize the scheduling of tasks to the available stations, respecting of a set of restrictions, as task/station obligation, and aiming to optimize a multi objective function, based on time, balancing utilization rates, and line balancing costs elements. This problem can be considered as belonging to the wide area of GALB Problems. Some strategy about resource scheduling opportunities has been considered. The original referable configuration of the considered system is an assembly line with six stations, and with six operators. In the present step, the solution we experimented, shows a redundant (doubled) number of stations, to be a more flexible solution compared to previous solutions, with a layout too much specific and referred to the particular tasks and constrains profile, based on real data. © 2013 DIME UNIVERSITÀ DI GENOVA.
Simulation models to support galb heuristic optimization algorithms based on resource balancing based on multi objective performance index / Gallo, Sergio Amedeo; Davoli, Giovanni; Govoni, Andrea; Melloni, Riccardo. - (2013), pp. 379-388. (Intervento presentato al convegno 25th European Modeling and Simulation Symposium, EMSS 2013 tenutosi a Athens, grc nel 2013).
Simulation models to support galb heuristic optimization algorithms based on resource balancing based on multi objective performance index
GALLO, Sergio Amedeo;DAVOLI, Giovanni;GOVONI, Andrea;MELLONI, Riccardo
2013
Abstract
The following paper face with an approach to analyse a multi model manual assembly line, and the following heuristic algorithm to optimize the scheduling of tasks to the available stations, respecting of a set of restrictions, as task/station obligation, and aiming to optimize a multi objective function, based on time, balancing utilization rates, and line balancing costs elements. This problem can be considered as belonging to the wide area of GALB Problems. Some strategy about resource scheduling opportunities has been considered. The original referable configuration of the considered system is an assembly line with six stations, and with six operators. In the present step, the solution we experimented, shows a redundant (doubled) number of stations, to be a more flexible solution compared to previous solutions, with a layout too much specific and referred to the particular tasks and constrains profile, based on real data. © 2013 DIME UNIVERSITÀ DI GENOVA.Pubblicazioni consigliate
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