Nowadays manufacturing industry pursues innovative solutions to continuous improve processes, referring to “Industry 4.0” and “Smart factory” as enablers for the implementation of modern technologies inside production floors. An important project opened in Alstom Lecco plant targets the efficiency increment of operational activities exploiting these state- of-art tools. The opportunity of analysis arises from the evaluation of a new building development with implementation of a fleet of Automated Guided Vehicles (AGVs). The case study aims to analyze current internal logistic flows, detecting issues, and through modelling of virtual environment, simulate behaviours of future material handling system. Using a simulation software, six configurations have been tested to assess AGV fleet, its working strategy, and to compare impacts and benefits of logistic system on machines utilization, idle and waiting times, and system time of products. One solution has been identified as the best performer for Alstom material handling, and to assure its robustness and flexibility, a sensitivity analysis is set simulating scenarios with higher production paces. Although the more challenging context, the configuration has proven to remain efficient and effective, and in the end, results have been presented to decision-making team assigned to evaluate the investment.
Oggi l’industria manifatturiera è alla ricerca di soluzioni all’avanguardia per migliorare i processi, facendo riferimento a “industria 4.0” e “Smart factory” quali acceleratori per l’integrazione delle più moderne tecnologie negli impianti. Un importante progetto avviato nello stabilimento Alstom a Lecco mira ad incrementare l’efficienza del sito, attraverso l’utilizzo di questi strumenti innovativi. L’opportunità di analisi nasce dalla valutazione d’investimento per la realizzazione di un nuovo stabilimento e l’installazione di una flotta di veicoli autonomi (AGV). In particolare questo studio si pone l’obiettivo di analizzare i flussi logistici interni, identificare eventuali criticità e, tramite la modellazione in un ambiente virtuale, simulare i comportamenti del futuro sistema automatico di movimentazione materiali. Grazie ad un software di simulazione, sei configurazioni sono state testate per determinare la flotta di veicoli, e la loro strategia di utilizzo, comparando l’impatto del sistema logistico sull’utilizzo dei macchinari, i tempi di attesa generati e il tempo di attraversamento dei prodotti nell’impianto. Una soluzione è stata identificata come migliore per la realtà, e per testarne la robustezza e flessibilità, un’analisi di sensitività è stata condotta simulando un’ulteriore ottimizzazione della produzione. Nonostante il contesto più critico, la soluzione si è dimostrata efficace ed efficiente e il risultato è stato presentato al team che ne valuterà l’investimento.
Assessment of automated material handling solution: a case study for new Alstom Lecco plant. A preliminary study exploiting the innovative tool of virtual simulation as predictor of real future system in Industry 4.0
PEREGO, FILIPPO
2018/2019
Abstract
Nowadays manufacturing industry pursues innovative solutions to continuous improve processes, referring to “Industry 4.0” and “Smart factory” as enablers for the implementation of modern technologies inside production floors. An important project opened in Alstom Lecco plant targets the efficiency increment of operational activities exploiting these state- of-art tools. The opportunity of analysis arises from the evaluation of a new building development with implementation of a fleet of Automated Guided Vehicles (AGVs). The case study aims to analyze current internal logistic flows, detecting issues, and through modelling of virtual environment, simulate behaviours of future material handling system. Using a simulation software, six configurations have been tested to assess AGV fleet, its working strategy, and to compare impacts and benefits of logistic system on machines utilization, idle and waiting times, and system time of products. One solution has been identified as the best performer for Alstom material handling, and to assure its robustness and flexibility, a sensitivity analysis is set simulating scenarios with higher production paces. Although the more challenging context, the configuration has proven to remain efficient and effective, and in the end, results have been presented to decision-making team assigned to evaluate the investment.File | Dimensione | Formato | |
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https://hdl.handle.net/10589/165288