Context Awareness for Flexible Manufacturing Systems Using Cyber Physical Approaches

The work presented in this paper demonstrates how flexible manufacturing systems (FMS) combined with context awareness can be used to allow for an improved decision support in manufacturing industry. Thereby manufacturing companies shall be supported in a continuous process of increasing efficiency and availability of their production machines. Such optimization has to be embedded in the processes allowing for run time adaptation of the process to various dynamically changing external conditions. Context awareness, based on the information obtained from cyber physical systems, is a promising approach to allow for efficient building of such embedded optimization solutions. The objective of the research presented is to explore how context awareness, using the information from cyber physical systems integrated in the processes, can be applied to build a solution for self-optimization of discrete, flexible manufacturing processes.

[1]  Jadwiga Indulska,et al.  A survey of context modelling and reasoning techniques , 2010, Pervasive Mob. Comput..

[2]  Dragan Stokic,et al.  Context extraction for self-learning production systems , 2012, IEEE 10th International Conference on Industrial Informatics.

[3]  Blair MacIntyre,et al.  Integrating virtual and physical context to support knowledge workers , 2002, IEEE Pervasive Computing.

[4]  Paolo Bellavista,et al.  Context-aware semantic discovery for next generation mobile systems , 2006, IEEE Communications Magazine.

[5]  John Seely Brown,et al.  The Origins of Ubiquitous Computing Research at PARC in the Late 1980s , 1999, IBM Syst. J..

[6]  Eva Geisberger,et al.  acatech STUDIE März 2012 > agendaCPS , 2012 .

[7]  José Barata,et al.  Context Awareness for Self-adaptive and Highly Available Production Systems , 2013, DoCEIS.

[8]  Antonio Corradi,et al.  Semantic-based discovery to support mobile context-aware service access , 2008, Comput. Commun..

[9]  Yang Tao,et al.  Context-centered design knowledge management , 2004 .

[10]  Hyung Jun Ahn,et al.  Utilizing knowledge context in virtual collaborative work , 2005, Decis. Support Syst..

[11]  Frank van Harmelen,et al.  C-OWL: Contextualizing Ontologies , 2003, SEMWEB.

[12]  Edward A. Lee.  Cyber Physical Systems: Design Challenges , 2008, 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC).

[13]  Jae-Woo Chang,et al.  Design and Implementation of Middleware and Context Server for Context-Awareness , 2006, HPCC.

[14]  Siddhartha Kumar Khaitan,et al.  Design Techniques and Applications of Cyberphysical Systems: A Survey , 2015, IEEE Systems Journal.

[15]  Tapio Seppänen,et al.  RDF-based model for context-aware reasoning in rich service environment , 2005, Third IEEE International Conference on Pervasive Computing and Communications Workshops.

[16]  Wolfgang Kellerer,et al.  Situational reasoning - a practical OWL use case , 2005, Proceedings Autonomous Decentralized Systems, 2005. ISADS 2005..

[17]  Tao Gu,et al.  A service-oriented middleware for building context-aware services , 2005, J. Netw. Comput. Appl..

[18]  Euiho Suh,et al.  A study of context inference for Web-based information systems , 2007, Electron. Commer. Res. Appl..