This research proposes an updated framework about the state-of-the-art of Artificial Neural Network (ANN) applications in manufacturing, proposing twelve fields of application to support operations. These algorithms find spaces among seven technologies – which are Industrial Analytics, Additive Manufacturing, Advanced Automation, Cloud Manufacturing, Industrial Internet of Things, Human Machine Interface, and Digital Twin – and related applications. The analysis of the literature presented was declined within the smart manufacturing paradigm since it is the answer to the needs underlined by the Covid-19 pandemic. Three macro-guidelines have been identified: approach to activities, supply chain enhancement and digitization, needed to prevent, react, and build a more resilient network in post-Covid. Ultimately, the research suggests a prioritization of the solutions to be introduced in the company, identifying smart manufacturing technologies as priorities, all stand out Additive Manufacturing, Human Machine-Interface, and Industrial Internet of Things.
Questa ricerca propone un quadro aggiornato sullo stato dell'arte delle applicazioni Artificial Neural Network (ANN) nel manufacturing, proponendo dodici campi di applicazioni per supportare le operations. Questi algoritmi trovano spazio all’interno di sette tecnologie – trattasi di Industrial Analytics, Additive Manufacturing, Advanced Automation, Cloud Manufacturing, Industrial Internet of Things, Human Machine e Interface Digital Twin – e relative applicazioni. L'analisi della letteratura presentata è stata declinata all'interno del paradigma dello smart manufacturing essendo la soluzione alle esigenze messe in evidenza dalla pandemia da Covid-19. Sono state individuate tre macro-linee guida: approccio alle attività, miglioramento della supply chain e digitalizzazione, necessari per prevenire, reagire e costruire una rete più resiliente nel post-covid. In ultima analisi, la ricerca suggerisce una prioritizzazione delle soluzioni da introdurre in azienda, identificando le tecnologie di smart manufacturing come priorità. Tra queste spiccano Additive Manufacturing, Human Machine-Interface e Industrial Internet of Things.
Artificial neural network to enhance manufacturing sector resilience
FORTI, DANIELE
2020/2021
Abstract
This research proposes an updated framework about the state-of-the-art of Artificial Neural Network (ANN) applications in manufacturing, proposing twelve fields of application to support operations. These algorithms find spaces among seven technologies – which are Industrial Analytics, Additive Manufacturing, Advanced Automation, Cloud Manufacturing, Industrial Internet of Things, Human Machine Interface, and Digital Twin – and related applications. The analysis of the literature presented was declined within the smart manufacturing paradigm since it is the answer to the needs underlined by the Covid-19 pandemic. Three macro-guidelines have been identified: approach to activities, supply chain enhancement and digitization, needed to prevent, react, and build a more resilient network in post-Covid. Ultimately, the research suggests a prioritization of the solutions to be introduced in the company, identifying smart manufacturing technologies as priorities, all stand out Additive Manufacturing, Human Machine-Interface, and Industrial Internet of Things.| File | Dimensione | Formato | |
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Descrizione: TESI DI LAUREA MAGISTRALE IN MANAGEMENT ENGINEERING
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https://hdl.handle.net/10589/182752