This paper is based on previous work that presented an approach and the related model to solve a GALB problem, and to analyse a multi model manual assembly line, based on heuristic algorithm to optimize the scheduling of tasks to the available stations, respecting a set of restrictions, as task/station obligation, and aiming to optimize a multi objective function based on time and line balancing costs elements. The assembly line we considered, process a very large variety of items, that differ for size, features, optional, under the increasing market competition. In that previous work, quite all strategies about resource scheduling opportunities have been considered. In the present step, we consider the last system we worked on, with a doubled number of stations, to test the reaction to the values changes of some configuration parameter as Due Date, Tardiness Cost, Tardiness Penal, Man work Direct Labour Cost, or Station Saturation.

A Mono parameter analysis on a simulation model to support GALB heuristic optimization algorithms based on resource balancing / Gallo, Sergio Amedeo; Davoli, Giovanni; Govoni, Andrea; Longo, Francesco; Melloni, Riccardo; Murino, Teresa. - (2014), pp. 136-143. ((Intervento presentato al convegno 26th European Modeling and Simulation Symposium, EMSS 2014 tenutosi a fra nel 2014.

A Mono parameter analysis on a simulation model to support GALB heuristic optimization algorithms based on resource balancing

GALLO, Sergio Amedeo;DAVOLI, Giovanni;GOVONI, Andrea;LONGO, FRANCESCO;MELLONI, Riccardo;
2014

Abstract

This paper is based on previous work that presented an approach and the related model to solve a GALB problem, and to analyse a multi model manual assembly line, based on heuristic algorithm to optimize the scheduling of tasks to the available stations, respecting a set of restrictions, as task/station obligation, and aiming to optimize a multi objective function based on time and line balancing costs elements. The assembly line we considered, process a very large variety of items, that differ for size, features, optional, under the increasing market competition. In that previous work, quite all strategies about resource scheduling opportunities have been considered. In the present step, we consider the last system we worked on, with a doubled number of stations, to test the reaction to the values changes of some configuration parameter as Due Date, Tardiness Cost, Tardiness Penal, Man work Direct Labour Cost, or Station Saturation.
26th European Modeling and Simulation Symposium, EMSS 2014
fra
2014
136
143
Gallo, Sergio Amedeo; Davoli, Giovanni; Govoni, Andrea; Longo, Francesco; Melloni, Riccardo; Murino, Teresa
A Mono parameter analysis on a simulation model to support GALB heuristic optimization algorithms based on resource balancing / Gallo, Sergio Amedeo; Davoli, Giovanni; Govoni, Andrea; Longo, Francesco; Melloni, Riccardo; Murino, Teresa. - (2014), pp. 136-143. ((Intervento presentato al convegno 26th European Modeling and Simulation Symposium, EMSS 2014 tenutosi a fra nel 2014.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11380/1085225
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