Digital Twins: How Engineers Can Adopt Them To Enhance Performances
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- FormatePub
- ISBN8215755525
- EAN9798215755525
- Date de parution19/03/2023
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurWMG Publishing
Résumé
This book is neither a step-by-step guide nor a technical handbook. Instead, different insights for Engineers (especially Chief/Lead/Head/Principal) on the adoption of Digital Twins for physical counterparts in various sectors/industries such as Manufacturing, Building, Infrastructure, Oil & Gas, Healthcare, Energy, Telecommunication, and Transportation up to City levels. With the power of digital data upon various advanced technologies aligned with Industry 4.0 and surely better than traditional approaches, the Digital Twin is the way forward to smartly enhance performances, especially towards Sustainability.
Because data is, to every Engineer, the key to making better-informed decisions about physical counterparts. Furthermore, Artificial Intelligence (AI) and Metaverse technologies are advancing to create more opportunities and excitement for Digital Twins. However, organizational commitment is a lot more important than focusing on specific advanced technologies in order to optimize the Return On Investment (ROI) and data security level of the Digital Twin adoption.
With simple explanations and case studies, perhaps this book is actionable for Engineers to start adopting in their organization by starting small and later achieving better performances than before. Smart Plant, Smart Building, Smart Infrastructure, Smart City, and more from the Digital Twin adoption, in the long run, are absolutely the sustainable motivation behind it, economically, socially, and environmentally valuable.
Because data is, to every Engineer, the key to making better-informed decisions about physical counterparts. Furthermore, Artificial Intelligence (AI) and Metaverse technologies are advancing to create more opportunities and excitement for Digital Twins. However, organizational commitment is a lot more important than focusing on specific advanced technologies in order to optimize the Return On Investment (ROI) and data security level of the Digital Twin adoption.
With simple explanations and case studies, perhaps this book is actionable for Engineers to start adopting in their organization by starting small and later achieving better performances than before. Smart Plant, Smart Building, Smart Infrastructure, Smart City, and more from the Digital Twin adoption, in the long run, are absolutely the sustainable motivation behind it, economically, socially, and environmentally valuable.
This book is neither a step-by-step guide nor a technical handbook. Instead, different insights for Engineers (especially Chief/Lead/Head/Principal) on the adoption of Digital Twins for physical counterparts in various sectors/industries such as Manufacturing, Building, Infrastructure, Oil & Gas, Healthcare, Energy, Telecommunication, and Transportation up to City levels. With the power of digital data upon various advanced technologies aligned with Industry 4.0 and surely better than traditional approaches, the Digital Twin is the way forward to smartly enhance performances, especially towards Sustainability.
Because data is, to every Engineer, the key to making better-informed decisions about physical counterparts. Furthermore, Artificial Intelligence (AI) and Metaverse technologies are advancing to create more opportunities and excitement for Digital Twins. However, organizational commitment is a lot more important than focusing on specific advanced technologies in order to optimize the Return On Investment (ROI) and data security level of the Digital Twin adoption.
With simple explanations and case studies, perhaps this book is actionable for Engineers to start adopting in their organization by starting small and later achieving better performances than before. Smart Plant, Smart Building, Smart Infrastructure, Smart City, and more from the Digital Twin adoption, in the long run, are absolutely the sustainable motivation behind it, economically, socially, and environmentally valuable.
Because data is, to every Engineer, the key to making better-informed decisions about physical counterparts. Furthermore, Artificial Intelligence (AI) and Metaverse technologies are advancing to create more opportunities and excitement for Digital Twins. However, organizational commitment is a lot more important than focusing on specific advanced technologies in order to optimize the Return On Investment (ROI) and data security level of the Digital Twin adoption.
With simple explanations and case studies, perhaps this book is actionable for Engineers to start adopting in their organization by starting small and later achieving better performances than before. Smart Plant, Smart Building, Smart Infrastructure, Smart City, and more from the Digital Twin adoption, in the long run, are absolutely the sustainable motivation behind it, economically, socially, and environmentally valuable.