The focus of IoT in the industrial setting raised in the course of time and the notion of Industrial Internet of Things (IIoT) was born. Industrial Internet of Things defined as “A system comprising networked smart objects, cyber-physical assets, associated generic information technologies and optional cloud or edge computing platforms, which enable real-time, intelligent, and autonomous access, collection, analysis, communications, and exchange of process, product and/or service information, within the industrial environment, so as to optimise overall production value. This value may include; improving product or service delivery, boosting productivity, reducing labor costs, reducing energy consumption, and reducing the build-to-order cycle.” IIoT has three classifications which are Smart Factory, Smart Lifecycle and Smart Logistics. Smart Factory involves different technologies which contribute a strategic innovation of existing product development and production with information, technology, humans, the connection and integration of processes. Smart Lifecycle helps to integrate human and non-human actors and consolidate the loop of Smart Product Lifecycle activities and asset. Smart Logistic concentrates on intensifying the competence of monitoring, predicting and tracking the progression of continuing logistic process. At the present time, the IIoT is a big shot since it changes the main structures of industries by adding a new horizon of technology. Plenty of organizations already noticed that IIoT can impact them by taking them beyond product and generating an unconventional growth. The purpose of research is to find out the relevant benefits together with risks, costs and challenges regarding either applying IIoT in direct operations or enabling IIoT services and products to customers. The analysis had proceeded with the investigation of eight companies which are ABB, Siemens, GE, Schneider Electric, Kuka, Cisco, Accenture and Prysmian. We have examined several business model structures considerably influenced by IIoT, and benefits, challenges of IIoT. This thesis project was supervised by Internet of Things Observatory within School of Management of Politecnico di Milano.
Il focus dell'IoT nel contesto industriale cresciuto nel corso del tempo e la nozione di Industrial Internet of Things (IIoT) è nata. Industrial Internet of Things definito come "Un sistema che comprende oggetti intelligenti collegati in rete, risorse cyber-fisiche, tecnologie di informazione generica associate e piattaforme opzionali di cloud computing o edge, che consentono accesso, raccolta, analisi, comunicazione e comunicazioni in tempo reale, intelligente e autonomo scambio di informazioni su processi, prodotti e / o servizi, all'interno dell'ambiente industriale, in modo da ottimizzare il valore complessivo della produzione. Questo valore può includere; migliorare l'erogazione di prodotti o servizi, aumentare la produttività, ridurre i costi di manodopera, ridurre il consumo energetico e ridurre il ciclo di costruzione su commessa. "IIoT ha tre classificazioni che sono Smart Factory, Smart Lifecycle e Smart Logistics. Smart Factory comprende diverse tecnologie che contribuiscono a un'innovazione strategica dello sviluppo e della produzione di prodotti esistenti con informazioni, tecnologia, risorse umane, la connessione e l'integrazione dei processi. Smart Lifecycle aiuta a integrare attori umani e non umani e consolida il ciclo di attività e asset del prodotto Smart Product Lifecycle. Smart Logistic si concentra sull'intensificazione delle competenze di monitoraggio, previsione e monitoraggio della progressione del processo logistico continuo. Al momento attuale, l'IIoT è un colpo grosso poiché cambia le principali strutture delle industrie aggiungendo un nuovo orizzonte tecnologico. Un sacco di organizzazioni hanno già notato che IIoT può avere un impatto su di loro portandole oltre il prodotto e generando una crescita non convenzionale. Lo scopo della ricerca è di scoprire i benefici rilevanti insieme ai rischi, ai costi e alle sfide riguardanti l'applicazione di IIoT nelle operazioni dirette o l'abilitazione dei servizi e dei prodotti IIoT ai clienti. L'analisi ha proceduto con l'indagine di otto società che sono ABB, Siemens, GE, Schneider Electric, Kuka, Cisco, Accenture e Prysmian. Abbiamo esaminato diverse strutture di modelli di business notevolmente influenzate da IIoT e benefici, sfide di IIoT. Questo progetto di tesi è stato supervisionato da Internet of Things Observatory presso la School of Management del Politecnico di Milano.
Industrial Internet of Things : a business cases collection across companies
MUHACIR, BERCIN;NAZIRDIR, YAGIZHAN
2018/2019
Abstract
The focus of IoT in the industrial setting raised in the course of time and the notion of Industrial Internet of Things (IIoT) was born. Industrial Internet of Things defined as “A system comprising networked smart objects, cyber-physical assets, associated generic information technologies and optional cloud or edge computing platforms, which enable real-time, intelligent, and autonomous access, collection, analysis, communications, and exchange of process, product and/or service information, within the industrial environment, so as to optimise overall production value. This value may include; improving product or service delivery, boosting productivity, reducing labor costs, reducing energy consumption, and reducing the build-to-order cycle.” IIoT has three classifications which are Smart Factory, Smart Lifecycle and Smart Logistics. Smart Factory involves different technologies which contribute a strategic innovation of existing product development and production with information, technology, humans, the connection and integration of processes. Smart Lifecycle helps to integrate human and non-human actors and consolidate the loop of Smart Product Lifecycle activities and asset. Smart Logistic concentrates on intensifying the competence of monitoring, predicting and tracking the progression of continuing logistic process. At the present time, the IIoT is a big shot since it changes the main structures of industries by adding a new horizon of technology. Plenty of organizations already noticed that IIoT can impact them by taking them beyond product and generating an unconventional growth. The purpose of research is to find out the relevant benefits together with risks, costs and challenges regarding either applying IIoT in direct operations or enabling IIoT services and products to customers. The analysis had proceeded with the investigation of eight companies which are ABB, Siemens, GE, Schneider Electric, Kuka, Cisco, Accenture and Prysmian. We have examined several business model structures considerably influenced by IIoT, and benefits, challenges of IIoT. This thesis project was supervised by Internet of Things Observatory within School of Management of Politecnico di Milano.| File | Dimensione | Formato | |
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https://hdl.handle.net/10589/148615