Cloud-based evaluation platform for software-defined manufacturing Cloud-basierte Evaluierungsplattform fur Software-defined Manufacturing

被引:5
作者
Neubauer, Michael [1 ]
Reiff, Colin [1 ]
Walker, Moritz [1 ]
Oechsle, Stefan [1 ]
Lechler, Armin [1 ]
Verl, Alexander [1 ]
机构
[1] Univ Stuttgart, Inst Steuerungstechn Werkzeugmaschinen & Fertigung, Seidenstr 36, D-70174 Stuttgart, Germany
关键词
Industry; 4.0; Smart Factory; Cloud Manufacturing; Time-Sensitive Networking; Cloud Computing; Software-defined Manufacturing;
D O I
10.1515/auto-2022-0137
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Software-Defined Manufacturing (SDM) is a new paradigm for how to manufacture in the Industry 4.0 factory of the future. The approach requires a fundamental change in thinking and reinvention of central business models in production technology. This paper discusses the main challenges on the way to a software-defined factory of the future and illustrates possible solutions. An exemplary future factory is presented, in which the validation of the solutions is carried out. For this purpose, cloud-based Computerized Numerical Control (CNC) is considered as use case. Experimental results demonstrate the proof of concept and show the potential for further applications.
引用
收藏
页码:351 / 363
页数:13
相关论文
共 23 条
[1]   Learning factories for future oriented research and education in manufacturing [J].
Abele, Eberhard ;
Chryssolouris, George ;
Sihn, Wilfried ;
Metternich, Joachim ;
ElMaraghy, Hoda ;
Seliger, Guenther ;
Sivard, Gunilla ;
ElMaraghy, Waguih ;
Hummel, Vera ;
Tisch, Michael ;
Seifermann, Stefan .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2017, 66 (02) :803-826
[2]  
Abeni Luca, 2019, ACM SIGBED Review, V16, P33, DOI 10.1145/3373400.3373405
[3]   Hierarchical scheduling of real-time tasks over Linux-based virtual machines [J].
Abeni, Luca ;
Biondi, Alessandro ;
Bini, Enrico .
JOURNAL OF SYSTEMS AND SOFTWARE, 2019, 149 :234-249
[4]  
Bengel G., 2015, MASTERKURS PARALLELE
[5]   SuperGraph: Spatial-Temporal Graph-Based Feature Extraction for Rotating Machinery Diagnosis [J].
Yang, Chaoying ;
Zhou, Kaibo ;
Liu, Jie .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 69 (04) :4167-4176
[6]   Multi-factory production planning using edge computing and IIoT platforms [J].
Dhungana, Deepak ;
Haselboeck, Alois ;
Meixner, Sebastian ;
Schall, Daniel ;
Schmid, Johannes ;
Trabesinger, Stefan ;
Wallner, Stefan .
JOURNAL OF SYSTEMS AND SOFTWARE, 2021, 182
[7]  
Dietrich D., 2022, WT WERKSTATTSTECH, V112, P276
[8]  
Eckhardt A, 2018, IEEE INT C EMERG, P1071, DOI 10.1109/ETFA.2018.8502445
[9]   TU Wien Pilot Factory Industry 4.0 [J].
Hennig, Martin ;
Reisinger, Gerhard ;
Trautner, Thomas ;
Hold, Philipp ;
Gerhard, Detlef ;
Mazak, Alexandra .
RESEARCH. EXPERIENCE. EDUCATION., 2019, 31 :200-205
[10]  
Huynh BH, 2020, 2020 9TH INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY AND MANAGEMENT (ICITM 2020), P16, DOI [10.1109/icitm48982.2020.9080394, 10.1109/ICITM48982.2020.9080394]