Abstract
The content of the book chapter is the development and application of a method for the cost optimized integration of a condition monitoring system for machine tools. An environment for the simulation of lifecycle costs considering the maintenance processes as well as the hardware will be described to identify an appropriate sensor concept. The approach of event based simulation allows an assessment of possible sensor concepts depending on the machine tool’s performance. To realize a cost-effective condition monitoring solution using simple consumer electronics, such as Micro-Electro-Mechanical-Systems, and to provide high scalability a wireless sensor network has been developed and evaluated. It can be easily adapted to different specific applications because of decentralized data preprocessing on the sensor nodes, as well as services in the cloud. Within this network the sensors interact through a software agent system which is implemented in the machine tool and all of its subsystems. The Java Agent Development Framework will be used as a middleware. The modularization leads to a highly flexible system. Additionally, the agent system enables the interaction between the machine tool, the IPS2 provider, and its service technicians. The book chapter includes the evaluation of the method in the field of grinding machine tools by means of a feed axis.
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References
Baines TS, Lightfoot H, Steve E et al (2007) State-of-the-art in product service-systems. P I Mech Eng B-J Eng 221(10):1543–1552. doi:10.1243/09544054JEM858
Braun C, Wortmann F, Hafner M et al (2005) Method construction—a core approach to organizational engineering. In: Haddad H, Liebrock LM, Omicini A et al (eds) Proceedings of the 2005 ACM symposium on applied computing (SAC), Santa Fe, New Mexico, USA, March 13–17, 2005. ACM, New York, pp 1295–1299
Joachims T (2002) Learning to classify text using support vector machines. Springer, New York
Joschko P, Haan J, Janz T et al (2012) Business process simulation with IYOPRO and DESMO-J. In: Bruzzone AG, Buck W, Cayirci E et al (eds) Proceedings of the international workshop on applied modeling and simulation, Rende
Meier H, Roy R, Seliger G (2010) Industrial Product-Service Systems—IPS2. CIRP Ann Manuf Technol 59(2):607–627. doi:10.1016/j.cirp.2010.05.004
Shawe-Taylor J, Cristianini N (2004) Kernel methods for pattern analysis. Cambridge University Press, Cambridge
Steinwart I, Christmann A (2008) Support vector machines. Springer, New York
Tukker A (2004) Eight types of product-service system: eight ways to sustainability? Experiences from SusProNet. Bus Strategy Environ 13(4):246–260. doi:10.1002/bse.414
Uhlmann E, Bochnig H (2012) PSS-CAD: an approach to the integrated product and service development. In: Shimomura Y, Kimita K (eds) The philosopher’s stone for sustainability—Proceedings of the 4th CIRP international conference on industrial product-service systems, Tokyo, Japan, November 8th–9th, 2012. Springer, Heidelberg, pp 61–66
Vandermerwe S, Rada J (1988) Servitization of business: adding value by adding services. EMJ 6(4):314–324. doi:10.1016/0263-2373(88)90033-3
Winter R, Schelp J (2006) Reference modeling and method construction—a design science perspective. In: Haddad H (ed) Proceedings of the 2006 ACM symposium on applied computing (SAC), Dijon, France, April 23–27, 2006. ACM, New York, pp 1561–1562
Acknowledgements
We express our sincere thanks to the Deutsche Forschungsgemeinschaft (DFG) for funding this research within the collaborative research project SFB/TR 29 on Industrial Product-Service Systems—dynamic interdependency of products and services in the production area. Furthermore, we express our sincere thanks to the company intellivate GmbH for providing a license of IYOPRO Premium.
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Uhlmann, E., Gabriel, C., Laghmouchi, A., Geisert, C., Raue, N. (2017). Holistic Approach for Condition Monitoring in Industrial Product-Service Systems. In: Redding, L., Roy, R., Shaw, A. (eds) Advances in Through-life Engineering Services. Decision Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-49938-3_10
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DOI: https://doi.org/10.1007/978-3-319-49938-3_10
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