Abstract
Evolvable production system (EPS) is one of the most promising emerging paradigms among the next generation of production systems dealing with challenges such as market unpredictability, high product variance and increasing automation costs. One of the major challenges faced by EPS for its wider industrial realization is the harmonization of its existing research activities such as the ontology and reference architecture with the agent-based control, dynamic skill-configuration methodology and self-organization algorithms while also considering the aspects of operation management and business models. In addition, the integration with existing industrial standards, targeting aspects like functional safety, system integrity, etc. is also required. This paper addresses the challenge by providing an extendible DSM (Domain Specific Modeling) based support for modeling an EPS. The work is a basis for a model-based and architecture-centric methodology applicable throughout the development life-cycle of an EPS.
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Notes
- 1.
For the difference between meta model and ontology refer to [28]
References
UDI Project Information. . Accessed May 2015
Akillioglu, H.: Evolvable Production Systems: Demand Responsive Planning. Technical report, Industrial Engineering and Management, KTH—The Royal Institute of Technology, Sweden, Nov 2011
Broy, M., Feilkas, M., Herrmannsdoerfer, M., Merenda, S., Ratiu, D.: Seamless model-based development: from isolated tools to integrated model engineering environments. Proc. IEEE 98(4), 526–545 (2010)
Brussel, H.V., Wyns, J., Valckenaers, P., Bongaerts, L., Peeters, P.: Reference architecture for holonic manufactruring systems: PROSA. Comput. Ind. 37, 255–274 (1998)
Chen, D.J., Maffei, A., Ferreira, J., Akillioglu, H., Khabazzi, M.R., Zhang, X.: A virtual environment for the management and development of cyber-physical manufacturing systems. In: 5th IFAC Workshop on Dependable Control of Discrete Systems. Cancun, Mexico (2015)
Colombo, A.W.: Industrial agent: towards collaborative production—automation—management- and organization. In: IEEE Industrial Electronics Society Newsletter, vol. 52, pp. 17–18. schneider Electric GmbH, Germany (2005)
Ferreira, J., Ribeiro, L., Neves, P., Akillioglu, H., Onori, M., Barata, J.: Visualization tool to support multi-agent mechatronic based systems. In: 38th Annual Conference on IEEE Industrial Electronics Society (IECON) (2012)
Ferreira, P., Lohse, N., Razgon, M., Larizza, P., Triggiani, G.: Skill based configuration methodology for evolvable mechatronic systems. In: IECON 2012–38th Annual Conference on IEEE Industrial Electronics Society, pp. 4366–4371, Oct 2012
Keddis, N., Kainz, G., Buckl, C., Knoll, A.: Towards adaptable manufactruring systems. In: IEEE International Conference on Industrial Technology (ICIT), CapeTown (2013)
Kephart, J.O., Chess, D.M.: The vision of autonomic computing. IEEE Comput. Soc. (2003)
Lindberg, B., Onori, M., Semere, D.T.: Evolvable production systems—a position paper. In: Swedish production symposium, SPS’07 (2007)
Lohse, N., Maraldo, T., Barata, J.: EUPASS: Assembling Equipment Ontology. Technical report (2008)
Lohse, N., Maraldo, T., Barata, J.: EUPASS: Assembling Process Ontology Specification. Technical report (2008)
Lohse, N., Maraldo, T., Barata, J.: EUPASS: Product Ontology Specification. Technical report, E (2008)
Maffei, A.: Characterisation of the business models for innovative, non-mature production automation technology. Ph.D. thesis, Department of Production Engineering, KTH—The Royal Institute of Technology, Sweden, Dec 2012
Mehrabi, M.G., Ulsoy, A.G., Koren, Y.: Reconfigurable manufacturing systems: key to future manufacturing. J. Intell. Manufact. 11, 403–419 (2000)
MetaEdit+ Website: https://www.metacase.com/
Morel, G., Valckenaers, P., Faure, J.M., Pereira, C.E., Diedrich, C.: Manufacturing plant control challenges and issues. Control Engineering Practice 15(11), 1321–1331 (2007), special Issue on Manufacturing Plant Control: Challenges and Issues INCOM 2004 11th IFAC INCOM’04 Symposium on Information Control Problems in Manufacturing
Neves, P.: System Evaluation and Learning in Evolvable Production Systems: Preliminary Considerations and Research Directions. Technical report, Industrial Engineering and Management, KTH—The Royal Institute of Technology, Sweden (2012)
Onori, M., Barata, J.: Mechatronic production equipment with process based distributed control. In: 9th IFAC Symposium on Robot Control, pp. 80–85 (2009)
Onori, M., Lohse, N., Barata, J., Hanisch, C.: The IDEAS project: plug & produce at shop-floor level. Assem. Autom. (2012)
Onori, M., Semere, D., Barata, J.: Evolvable assembly systems: from evaluation to application. In: Innovation in Manufacturing Networks, vol. 266, pp. 205–214. Springer (2008)
Onori, M., Semere, D., Lindberg, B.: Evolvable systems: an approach to self-X production. In: CIRP-sponsored International Conference on Digital Enterprise Technology, Advances in Intelligent and Soft Computing, vol. 66, pp. 789–802 (2010)
Onori, M., Semere, D.T., Barata, J.: EUPASS: Reference Architecture Specification. Technical report (2008)
Pedro: An Agent-Based Self-Configuration Methodology for Modular Assembly Systems. Ph.D. thesis, University of Nottingham (2011)
Ribeiro, L., Barata., J., Onori, M., Amado, A.: OWL ontology to support evolvable assembly systems. In: 9th IFAC Workshop on Intelligent Manufacturing Systems (2008)
Ribeiro, L., Rosa, R., Cavalcante, A., Barata, J.: IADE— IDEAS agent development environment: lessons learned and research directions. In: CIRP Conference on Assembly Technologies and systems (2012)
Saeki, M., Kaiya, H.: On relationships among models, meta models and ontologies. In: 6th OOPSLA Workshop on Domain—Specific Modeling (2006)
Schmidt, D.C.: Guest editor’s introduction: model-driven engineering. Computer 39(2), 25–31 (2006)
Tetzlaff, U.: Optimal design of flexiblemanufactruring systems. Contrib. Manag. Sci. (1990)
Wooldridge, M.: An Introduction to MultiAgent Systems. Wiley (2009)
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The authors would like to thank SenseAir AB for financing and supporting this research.
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Rahatulain, A., Qureshi, T.N., Onori, M. (2016). Towards a Model-Based Development Methodology for Evolvable Production Systems. In: Abraham, A., Wegrzyn-Wolska, K., Hassanien, A., Snasel, V., Alimi, A. (eds) Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015. Advances in Intelligent Systems and Computing, vol 427. Springer, Cham. https://doi.org/10.1007/978-3-319-29504-6_9
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