Generic Systems Engineering

通用系统工程:复杂性管理的方法论方法

自然辩证法

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作      者
出  版 社
出版时间
2023年11月28日
装      帧
精装
ISBN
9783662679937
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页      码
399
语      种
英文
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图书简介
The work gives a historical outline of the development trends in systems engineering (SE) up to the present. This includes a systematic examination of the various models and process concepts of SE. Based on this, the Generic Systems Engineering (GSE) is developed, consisting of a new meta-model, which can be combined with a project management-integrated process concept in a problem-solving-oriented manner and can be permanently updated or supplemented. Eight test examples show possible fields of application of the GSE, which range from virtual product development to field data feedback into it. Furthermore, examples for the transfer of GSE to socio-technical systems, i.e. enterprises and enterprise networks, are presented.The 3rd edition is dedicated to the increased requirements for sustainability and addresses the higher dynamics as a result of the agile system development that is widespread today. The application of the methods to technical systems is also extended to include socio-technical systems.The target groupsUniversity teachers, scientists and students of engineeringProduct and system developers, designersProduct and variant managersQuality managersThe authorDr.-Ing. Nadine Schlüter has been working at the Faculty of Mechanical and Safety Engineering at the University of Wuppertal since 2009 in the field of product safety and quality. Here she habilitated in 2017 in the subject ’Generic Systems Engineering’. After successfully conducting numerous national and international research projects, she is currently leading basic research projects of the German Research Foundation (DFG) in the field of Systems Engineering. She has over 100 scientific publications and won the Walter Masing Award for outstanding research activities in the field of quality science in 2014. She is a member of INCOSE and the Society for Systems Engineering (GfSE), among others. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.
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