This paper deals with an application of virtual simulation within the manufacturing process of a high-speed train. This project was born from a need to reorganize the train assembly line of a rail transport engineering company. Nowadays, manufacturing firms need to improve productivity in terms of higher throughput, shorter lead time, low work-in-process and high resource utilization. Today, the use of a Discrete Event Simulation (DES) tool is common for supporting engineers in reaching these targets, representing a valid help in what-if analyses and in the measurement or validation of a solution. In this work, differently from the common use, it has been developed a virtual model whose function is not to measure and/or validate a solution of a problem, but to generate a solution that will be nearly to the optimum. This paper describes DES tools, the methodology used in this work, the case-study and the obtained results.
Virtual production planning of a high-speed train using a discrete event simulation based approach / DI GIRONIMO, Giuseppe; Lanzotti, Antonio; Peluso, Fabio; Renno, Fabrizio. - 1:1(2012), pp. 1-18. (Intervento presentato al convegno IMPROVE 2012 The Italian event of Virtual Concept Workshop tenutosi a Capri nel September 19th – 21st, 2012).
Virtual production planning of a high-speed train using a discrete event simulation based approach
DI GIRONIMO, GIUSEPPE;LANZOTTI, ANTONIO;PELUSO, FABIO;RENNO, FABRIZIO
2012
Abstract
This paper deals with an application of virtual simulation within the manufacturing process of a high-speed train. This project was born from a need to reorganize the train assembly line of a rail transport engineering company. Nowadays, manufacturing firms need to improve productivity in terms of higher throughput, shorter lead time, low work-in-process and high resource utilization. Today, the use of a Discrete Event Simulation (DES) tool is common for supporting engineers in reaching these targets, representing a valid help in what-if analyses and in the measurement or validation of a solution. In this work, differently from the common use, it has been developed a virtual model whose function is not to measure and/or validate a solution of a problem, but to generate a solution that will be nearly to the optimum. This paper describes DES tools, the methodology used in this work, the case-study and the obtained results.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.