Abstract
Nature of mining processes realised in the room-and-pillar system, utilising many types of machines and appliances, as well as their multi-stage structure and dispersion on a large area, make these processes suitable to be modelled by multiagent systems. In the paper, these processes are described for the needs of a managerial model of technical infrastructure used during mining an ore deposit. For this purpose, the BPMN notation was used. Complex relationships between the environment describing the mining field and the agents representing individual types of machines and appliances are specified. A schematic multiagent model of ore extraction in an underground mine is suggested, with the goal to increase productivity at unchanged ore production level.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Drogoul, A., et al.: Multi-agent systems and simulation: a survey from the agent community’s perspective. In: Weyns, D., Uhrmacher, A. (eds.) Multi-Agent Systems. pp. 3–51 CRC Press (2009)
Hoffa, P., Pawlewski, P.: Agent based approach for modeling disturbances in supply chain. In: Corchado, Juan M., Bajo, J., Kozlak, J., Pawlewski, P., Molina, Jose M., Gaudou, B., Julian, V., Unland, R., Lopes, F., Hallenborg, K., García Teodoro, P. (eds.) PAAMS 2014. CCIS, vol. 430, pp. 144–155. Springer, Cham (2014). doi:10.1007/978-3-319-07767-3_14
Hustrulid, W., Bullock, R. (eds.): Underground Mining Methods. Engineering Fundamentals and International Case Studies. Society for Mining Metallurgy and Exploration Inc. (SME), Littleton (2001)
Kłosowski, G., et al.: Application of fuzzy logic controller for machine load balancing in discrete manufacturing system. Found. Manag. 4, 1 (2012)
Kłosowski, G., et al.: Application of fuzzy logic in assigning workers to production tasks. In: Omatu, S., et al. (eds.) Distributed Computing and Artificial Intelligence, pp. 505–513. Springer International Publishing, Cham (2016)
Macal, C.M., North, M.J.: Tutorial on agent-based modelling and simulation. J. Simul. 4(3), 151–162 (2010)
Pawlewski, P.: Multimodal approach to modeling of manufacturing processes. Procedia CIRP. 17, 716–720 (2014)
Saniuk, A., et al.: Environmental favourable foundries through maintenance activities. Metalurgija. 54(4), 725–728 (2015)
Stefaniak, P., et al.: Idea syntezy informacji z systemu monitoringu samojezdnych maszyn górniczych na potrzeby oceny efektywności pracy operatorów. Presented at the Szkoła Eksploatacji Podziemnej, Kraków September 15 (2015)
White, S.A., Bock, C.: BPMN 2.0 Handbook Second Edition: Methods, Concepts, Case Studies and Standards in Business Process Management Notation. Future Strategies Inc., Lighthouse Point (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Kowalski, A., Chlebus, T. (2017). Multiagent Managerial Model of Technical Infrastructure Used at Ore Mining. In: Bajo, J., et al. Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems. PAAMS 2017. Communications in Computer and Information Science, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-60285-1_16
Download citation
DOI: https://doi.org/10.1007/978-3-319-60285-1_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-60284-4
Online ISBN: 978-3-319-60285-1
eBook Packages: Computer ScienceComputer Science (R0)