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200810 ||| eng |
| 020 |
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|a 9783030503123
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| 100 |
1 |
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|a Pathak, Sunil
|e [editor]
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| 245 |
0 |
0 |
|a Intelligent Manufacturing
|h Elektronische Ressource
|c edited by Sunil Pathak
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| 250 |
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|a 1st ed. 2021
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2021, 2021
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| 300 |
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|a X, 196 p. 58 illus., 20 illus. in color
|b online resource
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| 653 |
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|a Computational intelligence
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| 653 |
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|a Manufactures
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| 653 |
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|a Machinery
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| 653 |
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|a Machinery and Machine Elements
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| 653 |
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|a Computational Intelligence
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| 653 |
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|a Manufacturing, Machines, Tools, Processes
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Materials Forming, Machining and Tribology
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-030-50312-3?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 670
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| 520 |
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|a This book sheds light on the development of traditional and advanced optimization methods. Their use in various tradition and non-tradition manufacturing and machining processes for an improved manufacturability is reported. This includes key elements of implementing conventional statistical methods, multi-objective and multi-criteria decision-making methods and evolution of single and multi-target optimization techniques using soft computing to enhance production performance, efficiency and sustainability in manufacturing. The latest research in this area as well as possible avenues of future research are also highlighted
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