Additive manufacturing is a new group of manufacturing technology which build up finished parts by printing layer by layer using Computer-Aided Design (CAD) method. Additive manufacturing has a significant impact on automotive industry. Up to now use of additive manufacturing was only for prototyping and testing products but now manufacturer use these technologies for end products and even aftermarket industry. Additive manufacturing can play an important role especially for spare parts since each single model of car has 30,000 spare parts which causes problem either for automotive manufacturers to predicting all this spare parts to produce and keep in inventory, or in B2C problem for car owners related to time, price and too intermediaries. Hence, this thesis aims to analysis a cloud-based two-sided platform with the purpose of automating orders of additively manufactured automotive spare parts. First, in chapter two it proposes literature review and state of the art. In the third chapter platform is analyzed for business to business, which connect additive manufacturer to car manufacturer. Methods for implementation is PEST and SWOT analysis with explanation of business model. Chapter four is about evaluating idea for B2C, where the platform connects additive manufacturer to car owners who have demand of spare parts. chapter is analyzed with defining persona and customer journey map for understanding customer behavior and reaction to this platform. Finally, it could be concluded that expansion and short-term development are suggested for B2B while long-term improvements are suggested for B2C.
La manifattura additiva indica un nuovo gruppo di tecnologie produttive con cui è possibile ottenere pezzi finiti stampando, strato dopo strato, la geometria contenuta in un modello CAD 3D (Computer-Aided Design). Nonostante il fatto che fino ad oggi sia stata usata solo per la prototipazione, la produzione additiva sta avendo un impatto significativo sull'industria automobilistica anche per la produzione di prodotti finiti. La produzione additiva può svolgere un ruolo importante anche per i pezzi di ricambio poiché ogni singolo modello di auto può contenere fino a 30.000 componenti. Ciò causa problemi sia per i produttori automobilistici, che hanno difficoltà nella previsione della loro domanda e nel loro stoccaggio. Nel contesto B2C, ciò si ripercuote sul cliente finale come aumento del prezzo di acquisto, un aumento del tempo di attesa e del numero di intermediari. Questa tesi ha l’obiettivo di analizzare e concepire una piattaforma bilaterale basata su tecnologie cloud allo scopo di automatizzare gli ordini di pezzi di ricambio automobilistici fabbricati tramite tecnologie additive. In primo luogo, si propone una revisione della letteratura e dello stato dell'arte sia accademico che non. Nel terzo capitolo viene analizzata la piattaforma business to business, che collega i possessori delle stampanti con il produttore di automobili. Le metodologie adottate sono la PEST e la SWOT. Vengono inoltre spiegati e analizzati i modelli di business. Il quarto capitolo riguarda la valutazione dell'idea per una strategia B2C, in cui la piattaforma collega i centri stampa direttamente con i proprietari di auto che hanno richiesto il pezzi di ricambio. Tale strategia di business è stata valutata tramite la definizione di “persona””journey-map” per comprendere il comportamento del cliente e la reazione di questa piattaforma. Il capitolo conclusivo evidenzia come la soluzione B2B sia adatta come soluzione di espansione e breve termine mentre la strategia B2C sia desiderabile sul lungo periodo.
Can additive manufacturing change the market of spare parts in automotive ?
MANSOURKHAKI, SHADI
2018/2019
Abstract
Additive manufacturing is a new group of manufacturing technology which build up finished parts by printing layer by layer using Computer-Aided Design (CAD) method. Additive manufacturing has a significant impact on automotive industry. Up to now use of additive manufacturing was only for prototyping and testing products but now manufacturer use these technologies for end products and even aftermarket industry. Additive manufacturing can play an important role especially for spare parts since each single model of car has 30,000 spare parts which causes problem either for automotive manufacturers to predicting all this spare parts to produce and keep in inventory, or in B2C problem for car owners related to time, price and too intermediaries. Hence, this thesis aims to analysis a cloud-based two-sided platform with the purpose of automating orders of additively manufactured automotive spare parts. First, in chapter two it proposes literature review and state of the art. In the third chapter platform is analyzed for business to business, which connect additive manufacturer to car manufacturer. Methods for implementation is PEST and SWOT analysis with explanation of business model. Chapter four is about evaluating idea for B2C, where the platform connects additive manufacturer to car owners who have demand of spare parts. chapter is analyzed with defining persona and customer journey map for understanding customer behavior and reaction to this platform. Finally, it could be concluded that expansion and short-term development are suggested for B2B while long-term improvements are suggested for B2C.File | Dimensione | Formato | |
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https://hdl.handle.net/10589/149635