Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017 (Record no. 80072)
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fixed length control field | 03433nam a22005415i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-319-64465-3 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220801221814.0 |
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fixed length control field | 170817s2018 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783319644653 |
-- | 978-3-319-64465-3 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 006.3 |
245 10 - TITLE STATEMENT | |
Title | Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017 |
Sub Title | Proceedings of the First International Conference on Intelligent Systems in Production Engineering and Maintenance ISPEM 2017 / |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2018. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XVII, 470 p. 214 illus. |
490 1# - SERIES STATEMENT | |
Series statement | Advances in Intelligent Systems and Computing, |
520 ## - SUMMARY, ETC. | |
Summary, etc | The volume presents a collection of 44 peer-reviewed articles from the First International Conference on Intelligent Systems in Production Engineering and Maintenance (ISPEM 2017). ISPEM 2017 was organized by the Faculty of Mechanical Engineering, Wrocław University of Science and Technology and was held in Wrocław (Poland) on 28–29 September 2017. The main topics of the conference included the possibility of using widely understood intelligent methods in production engineering. New solutions for innovative plants, research results and case studies taking into account advances in production and maintenance from the point of view of Industry 4.0 were presented and discussed—with special attention paid to applications of intelligent systems, methods and tools in production engineering, maintenance, logistics, quality management, information systems, and product development. The volume is divided into two parts: 1. Intelligent Systems in Production Engineering 2. Intelligent Systems in Maintenance This book is an excellent reference resource for scientists in the field of manufacturing engineering and for top managers in production enterprises. |
700 1# - AUTHOR 2 | |
Author 2 | Burduk, Anna. |
700 1# - AUTHOR 2 | |
Author 2 | Mazurkiewicz, Dariusz. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-319-64465-3 |
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Koha item type | eBooks |
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-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2018. |
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-- | online resource |
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational intelligence. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial intelligence. |
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-- | Industrial engineering. |
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-- | Production engineering. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational Intelligence. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial Intelligence. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Industrial and Production Engineering. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2194-5365 ; |
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-- | ZDB-2-ENG |
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-- | ZDB-2-SXE |
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