Abstract
Mobile, self-organising robots are seen to be a possible solution to overcome the current limitations of fixed, dedicated automation systems particularly in the area of large structure assembly. Two of the key challenges for traditional dedicated automation systems in large structure assembly are considered to be the transportation of products and the adaptation of manufacturing processes to changes in requirements. In order to make dynamic, self-organising systems a reality, several challenges in the process dynamics and logistical control need to be solved. In this paper, we propose a Multi-Agent System (MAS) approach to self-organise mobile robots in large structure assembly. The model is based on fixed-priority pre-emptive scheduling and uses a blackboard agent as a central information source and to facilitate more common goal directed distributed negotiation and decision making between agents representing the different needs of products and available mobile resources (robots).
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References
Barbosa, J., Leitão, P., Adam, E., Trentesaux, D.: Dynamic self-organization in holonic multi-agent manufacturing systems: the ADACOR evolution. Comput. Ind. 66, 99–111 (2015)
Leitão, P., Restivo, F.: ADACOR: a holonic architecture for agile and adaptive manufacturing control. Comput. Ind. 57, 121–130 (2006)
Zhang, S., Xia, X.: Optimal control of operation efficiency of belt conveyor systems. Appl. Energy 87(6), 1929–1937 (2010)
Yuguang, Z., Kai, X., Dongyan, S.: Computer-Aided Design Assembly unit partitioning for hull structure in shipbuilding. Comput. Des. 45(12), 1630–1638 (2013)
Remley, D., Rediger, J., Haworth, P., Holden, R.: Slug Rivet Machine Installs 16 Rivets Per Minute Drill-Rivet-Shave (2009)
Smith, S., Moore, I., Jackson, T.: 2004-01-2806 HAWDE Five Axis Wing Surface Drilling Machine, Assembly, no. 724 (2004)
Ljasenko, S., Lohse, N., Justham, L.: A comparison of the manufacturing resilience between fixed automation systems and mobile robots in large structure assembly. In: 49th CIRP Conference on Manufacturing Systems, 2016. Submitted to CIRP and accepted (2016)
Wooldridge, M.: An Introduction to Multiagent Systems (2002)
Mes, M., van der Heijden, M., van Hillegersberg, J.: Design choices for agent-based control of AGVs in the dough making process. Decis. Support Syst. 44(4), 983–999 (2008)
Corkill, D.D.: Blackboard and Multi-agent Systems & the Future. Collab. Softw. (2003)
Wan, L., Yuan, J.: Single-machine scheduling to minimize the total earliness and tardiness is strongly NP-hard. Oper. Res. Letter 41(4), 363–365 (2013)
Leitão, P.: Agent-based distributed manufacturing control: a state-of-the-art survey. Eng. Appl. Artif. Intell. 22(7), 979–991 (2009)
Leet, C., Hahn, J., Seot, Y., C.Y. Parkq, M. Lee, and Kim, C.S.: Enhanced analysis of cache-related preemption delay in fixed-priority preemptive scheduling *. IEEE Trans. Comput. p. 187–198 (1997)
Wilensky, U.: NetLogo Home Page (2016). https://ccl.northwestern.edu/netlogo/
Acknowledgements
The authors acknowledge support from the EPSRC Centre for Innovative Manufacturing in Intelligent Automation, in undertaking this research work under grant reference number EP/IO33467/1.
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Ljasenko, S., Lohse, N., Justham, L., Pereira, I., Jackson, M. (2017). A Self-organisation Model for Mobile Robots in Large Structure Assembly Using Multi-agent Systems. In: Borangiu, T., Trentesaux, D., Thomas, A., Leitão, P., Oliveira, J. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing . SOHOMA 2016. Studies in Computational Intelligence, vol 694. Springer, Cham. https://doi.org/10.1007/978-3-319-51100-9_8
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DOI: https://doi.org/10.1007/978-3-319-51100-9_8
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