SMART: A system-level manufacturing and automation research testbed

被引:21
作者
Kovalenko I. [1 ]
Saez M. [1 ]
Barton K. [1 ]
Tilbury D. [1 ]
机构
[1] Mechanical Engineering Dept., Univ. of Michigan, Ann Arbor, 48109, MI
来源
Kovalenko, Ilya (ikoval@umich.edu) | 2017年 / ASTM International卷 / 01期
关键词
Manufacturing automation; Manufacturing systems; Simulations; System-level testbeds;
D O I
10.1520/SSMS20170006
中图分类号
学科分类号
摘要
Manufacturing testbeds are used to develop, test, and analyze technologies that address some of the current challenges facing the manufacturing sector. This paper provided a classification of manufacturing testbeds and categorized several existing testbeds based on each category specification. In addition, this paper introduced the System-level Manufacturing and Automation Research Testbed (SMART), a multidisciplinary testbed used for manufacturing research and education at the University of Michigan. SMART consists of a physical serial-parallel line equipped with sensors to collect data at both the machine and system level. Various tools were used to aggregate, analyze, and display this data in a cloud infrastructure. The system setup allowed for the discovery, testing, implementation, and analysis of new technologies. In addition, different simulations of SMART were developed to augment and study the testbed at the machine and system levels. A number of ongoing projects utilize SMART's physical and virtual capabilities. These projects cover a wide variety of areas, including centralized and decentralized control of manufacturing systems and performance monitoring and analysis. Copyright © 2017 by ASTM International, 100 Barr Harbor Drive, P.O. Box C700, West Conshohocken, PA 19428-2959
引用
收藏
页码:232 / 261
页数:29
相关论文
共 57 条
[1]  
Manyika J., Sinclair J., Dobbs R., Strube G., Rassey L., Mischke J., Remes J., Roxburgh C., George K., O'Halloran D., Ramaswamy S., Manufacturing the Future: The Next Era of Global Growth and Innovation, (2012)
[2]  
Holdren J.P., Lander E., Press W., Savitz M., Bierbaum R., Gates S.J., Cassel C., Gorenberg M., Jackson S.A., Chyba C., Levin R.C., Report to the president on capturing domestic competitive advantage in advanced manufacturing, Technical Report, Advanced Manufacturing Partnership Steering Committee, (2012)
[3]  
Cavalieri S., Macchi M., Valckenaers P., Benchmarking the performance of manufacturing control systems: Design principles for a web-based simulated testbed, J. Intell. Manuf., 14, 1, pp. 43-58, (2003)
[4]  
Wagner U., Al Geddawy T., El Maraghy H., Muller E., The state-of-the-art and prospects of learning factories, Proc. CIRP, 3, 1, pp. 109-114, (2012)
[5]  
Holm H., Karresand M., Vidstrom A., Westring E., A survey of industrial control system testbeds, The Proceedings of 20th Nordic Conference-Secure IT Systems, pp. 11-26, (2015)
[6]  
Gluhak A., Krco S., Nati M., Pfisterer D., Mitton N., Razafindralambo T., A survey on facilities for experimental internet of things research, IEEE Commun. Mag., 49, 11, pp. 58-67, (2011)
[7]  
Xu X., From cloud computing to cloud manufacturing, Robotics Comput. Integ. Manuf., 28, 1, pp. 75-86, (2012)
[8]  
Monostori L., Cyber-physical production systems: Roots, expectations and R&D challenges, Proc. CIRP, 17, pp. 9-13, (2014)
[9]  
Georgoulias K., Papakostas N., Makris S., Chryssolouris G., A toolbox approach for flexibility measurements in diverse environments, CIRP Ann. Manuf. Technol., 56, 1, pp. 423-426, (2007)
[10]  
Koren Y., The Global Manufacturing Revolution: Product-Process-Business Integration and Reconfigurable Systems, (2010)