GSC 262: Graduate School of Excellence advanced Manufacturing Engineering (GSaME)

GSC 262：卓越先进制造工程研究生院 (GSaME)

• 批准号: 49619325
• 金额: --
• 依托单位: Universität Stuttgart
• 依托单位国家: 德国
• 项目类别: Graduate Schools
• 财政年份: 2007
• 资助国家: 德国
• 起止时间: 2006-12-31 至 2018-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/49619325?language=en
• 关键词: GSC; 262; Graduate; Excellence; advanced

The excellent Graduate School for advanced Manufacturing Engineering (GSaME) will be jointly created by 27 principal investigators from 17 institutes belonging to four faculties of the University of Stuttgart. The GSaME will have self-administration with its own terms and conditions, an autonomous management, its own curricular concept including selection procedures and regulation for doctoral degree. Successful doctoral candidates will receive the degree of Dr.-Ing. or Dr. rer. pol. The promising advanced Manufacturing Engineering (aME) paradigm for the "next generation factories" is supported by a collection of emerging technologies according the following interdisciplinary research fields (clusters): Stuttgart Enterprise Model as the base, digital and virtual engineering, ICT for manufacturing, materials and process engineering, networking in manufacturing, intelligent production systems and knowledge-based management. "Sustainability and manufacturing" was defined as the seventh cluster and will be equipped with a junior professorship.

优秀的先进制造工程研究生院（GSaME）将由来自斯图加特大学四个学院17个研究所的27名主要研究人员共同创建。GSaME将拥有自己的条款和条件，自主管理，自己的课程概念，包括博士学位的选拔程序和规定。成功的博士候选人将获得博士学位- Ing.或雷尔博士。pol.“下一代工厂”的先进制造工程（aME）范例得到了以下跨学科研究领域（集群）的新兴技术的支持：斯图加特企业模型为基础，数字和虚拟工程，制造业信息通信技术，材料和工艺工程，制造业网络，智能生产系统和基于知识的管理。“可持续性和制造业”被定义为第七个集群，并将配备一个初级教授职位。

项目成果

The Stuttgart IT Architecture for Manufacturing - An Architecture for the Data-Driven Factory

• DOI: 10.1007/978-3-319-62386-3_3
• 发表时间: 2016-04
• 作者: Laura Kassner;Christoph Gröger;J. Königsberger;Eva Hoos;C. Kiefer;Christian Weber;S. Silcher;B. Mitschang

Analytical Approach for the Examination of the Feasibility of Rework in Flow Assembly Lines

流水装配线返工可行性检验的分析方法

• DOI: 10.1016/j.procir.2016.11.085
• 发表时间: 2016
• 期刊: Procedia CIRP
• 作者: Tönnes;Westkämper
• 通讯作者: Westkämper

Environment modeling for maintenance automation-a next-best-view approach for combining space exploration and object recognition tasks

维护自动化的环境建模——结合空间探索和物体识别任务的次佳视图方法

• DOI: 10.1109/coase.2017.8256307
• 发表时间: 2017
• 期刊: 2017 13th IEEE Conference on Automation Science and Engineering (CASE)
• 作者: Friedrich;Zielke;Toussaint;Lechler
• 通讯作者: Lechler

The relations between ecological sustainability and geographical proximity: A review of the literature

生态可持续性与地理邻近性之间的关系：文献综述

• DOI: 10.1386/tmsd.16.1.97_1
• 发表时间: 2017
• 期刊: International Journal of Technology Management and Sustainable Development

Innovation within the Next Society

下一个社会的创新

• DOI: 10.1504/ijird.2011.038062
• 发表时间: 2011
• 期刊: International Journal of Innovation and Regional Development
• 作者: Scheiber