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About Dissertation Olivotti
This document is a cumulative dissertation on digital transformation in the manufacturing industry focused on technologies and architectures. It addresses three main research topics: 1) predictive maintenance for industrial machines using models to optimize spare part inventory and maintenance planning, 2) digital twins and installed base management to provide insights on component health, and 3) new product-service systems and smart services leveraging data analytics. The dissertation aims to contribute to structuring relevant topics and technologies to help both research and industry implement digital transformation strategies.
Detailed Information
| Author: | ['Nhan Dien Khuon Mat'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 204 |
| Language: | English |
| Format: | |
| Price: | FREE |
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