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230201 ||| eng |
| 020 |
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|a 9789811972188
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| 100 |
1 |
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|a Gholami, Hamed
|e [editor]
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| 245 |
0 |
0 |
|a Sustainable Manufacturing in Industry 4.0
|h Elektronische Ressource
|b Pathways and Practices
|c edited by Hamed Gholami, Georges Abdul-Nour, Safian Sharif, Dalia Streimikiene
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| 250 |
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|a 1st ed. 2023
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| 260 |
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|a Singapore
|b Springer Nature Singapore
|c 2023, 2023
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| 300 |
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|a X, 212 p. 41 illus., 28 illus. in color
|b online resource
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| 505 |
0 |
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|a A review of global research trends on sustainable manufacturing -- An analysis of the literature on Industry 4.0 and the major technologies -- Smart laser welding; a strategic roadmap toward sustainable manufacturing in Industry 4.0 -- The role of additive manufacturing in the age of sustainable manufacturing 4.0 -- The impact of the fourth industrial revolution on the transitory stage of the automotive industry -- Advances in smart maintenance for sustainable manufacturing in Industry 4.0 -- Smart inspection; conceptual framework, industrial scenarios, and sustainability perspectives -- Sustainability implications of adopting Industry 4.0 at different scales in the poultry processing industry -- Horizontal collaboration business model towards a sustainable I4.0 value creation -- Assessment of Industry 4.0 adoption for sustainability in small and medium enterprises: a fermatean approach
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| 653 |
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|a Industrial engineering
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| 653 |
|
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|a Engineering design
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| 653 |
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|a Industrial and Production Engineering
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| 653 |
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|a Process Engineering
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| 653 |
|
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|a Engineering Design
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| 653 |
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|a Production engineering
|
| 700 |
1 |
|
|a Abdul-Nour, Georges
|e [editor]
|
| 700 |
1 |
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|a Sharif, Safian
|e [editor]
|
| 700 |
1 |
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|a Streimikiene, Dalia
|e [editor]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
| 028 |
5 |
0 |
|a 10.1007/978-981-19-7218-8
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-19-7218-8?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
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|a 670
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| 520 |
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|a This book gives an overview of the latest technologies in the Industry 4.0, using smart and autonomous systems driven by data and machine learning, to develop a sustainable approach to manufacturing. It includes the implementation of smart technological approaches in different manufacturing processes such as laser welding, additive manufacturing, equipment maintenance and inspection, automotive manufacturing, poultry processing, supply chain management, value stream mapping and development. This book caters to research experts and practitioners who are keen to realize the benefits of industry 4.0 to transform the manufacturing sector into a more sustainable-based state
|