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Systems engineering in the fourth industrial revolution : big data, novel technologies, and modern systems engineering / Ron S. Kenett, The KPA Group, Raanana and the Samuel Neaman Institute, Technion, Israel Robert S. Swarz, Worcester Polytechnic Institute, USA, Avigdor Zonnenshain, The Gordon Center for Systems Engineering and the Samuel Neaman Institute, Technion, Israel.

Contributor(s): Kenett, Ron [editor.] | Swarz, Robert S [editor.] | Zonnenshain, Avigdor [editor.].
Publisher: Hoboken, NJ : Wiley, ©2020Edition: First edition.Description: 622 p.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781119513896.Subject(s): Systems engineeringGenre/Form: Print books.Summary: "This book addresses the changes in systems engineering (SE) prompted by the current industrial environment. Elements of importance in this environment are the shift towards data collection, availability and use in the design and development of systems and also in the later life-cycle stages of use and retirement. In addition, the book addresses the issues in a system in which the system involves data in its operation, contrasting with earlier approaches in which data and algorithm implementation were less involved in the function of the system. These issues are a significant contrast with typical applications of SE to date, in which systems have been conceived as relatively static and long time lines have been acceptable"--
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On Shelf TA168 .S8727 2020 (Browse shelf) Available AU00000000016284
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Includes index.

"This book addresses the changes in systems engineering (SE) prompted by the current industrial environment. Elements of importance in this environment are the shift towards data collection, availability and use in the design and development of systems and also in the later life-cycle stages of use and retirement. In addition, the book addresses the issues in a system in which the system involves data in its operation, contrasting with earlier approaches in which data and algorithm implementation were less involved in the function of the system. These issues are a significant contrast with typical applications of SE to date, in which systems have been conceived as relatively static and long time lines have been acceptable"--

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