OPEN ACCESS
A thorough analysis of data on aircraft lifecycle revealed inadequacy of current lifecycle management methods in the face of increased complexity of the Internet-based global market. A new method for managing lifecycle has been developed by authors and their teams using concepts and principles of the emerging complexity science with the aim of reducing lead times and costs. Centralised control has been replaced with distributed decision-making empowering all lifecycle stakeholders. The solution described in this paper is the first of its kind and it represents a genuine advance in knowledge, which leads to considerable reduction in design/production lead times and decrease in the lifecycle cost. The method has been validated in a variety of applications.
aircraft, complex adaptive systems, complexity, lifecycle management, real-time spare parts management.
[1] Knezevic, J., Reliability, Maintainability and Supportability: A probabilistic Approach, McGraw-Hill, 1993.
[2] Knezevic, J., Systems Maintainability: Analysis, Engineering and Management, Springer, 1997.
[3] Prigogine, I., The End of Certainty: Time, Chaos and the New Laws of Nature, Free Press, 1997.
[4] Prigogine, I., Is Future Given?, World Scientific, 2003.
[5] Kaufman, S., At Home in the Universe: The Search for the Laws of Self-Organization and Complexity, Oxford Press, 1995.
[6] Holland, J.H., Hidden Order: How Adaptation Builds Complexity, Addison Wesley, 1995.
[7] Holland, J., Emergence: From Chaos to Order, Oxford University Press, 1998, ISBN 0-19-850 409-8.
[8] Rzevski, G. & Skobelev, P., Managing Complexity, WIT Press, 2014.
[9] Madsen, B., Skobelev, P., Rzevski, G. & Tsarev, A., Real-time multi-agent forecasting and replenishment solution for Lego branded retail outlets. International Journal of Software Innovation, 1(2), pp. 28–39, 2013, ISSN: 2166-7100.
[10] Glaschenko, A., Ivaschenko, A., Rzevski, G. & Skobelev, P., Multi-agent real time scheduling system for taxi companies, Proc. of 8th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2009), Decker, Sichman, Sierra and Castelfranchi (eds.), May, 10–15, 2009, Budapest, Hungary, pp. 29–35. ISBN: 978-0-9817381-6-1.
[11] Andreev, S., Rzevski, G., Shveykin, P., Skobelev, P. & Yankov, I., Multi-Agent Scheduler for
Rent-A-Car Companies, Lecture Notes in Computer Science, Vol. 5696, Holonic and MultiAgent Systems for Manufacturing: Forth International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2009, Linz, Austria. Springer, ISBN 978-3540-74478-8, pp. 305–314.
[12] Himoff, J., Rzevski, G. & Skobelev, P., Magenta technology: multi-agent logistics i -Scheduler for road transportation. International Conference on Autonomous Agents: P roceedings of the Fifth International Joint Conference on Autonomous Agents and Multi-Agent Systems, Hakodate, Japan, 2006, pp. 1541–1521. ISBN 1-59593-303-4. doi: http://dx.doi.org/ 10.1145/1160633.1160927
[13] Granichin, O., Skobelev, P., Lada, A., Mayorov, I. & Tsarev, A., Cargo transportation models analysis using multi-agent adaptive real-time truck scheduling system. Proceedings of the 5th International Conference on Agents and Artificial Intelligence (ICAART’2013), February 15–18, 2013, Barcelona, Spain. SciTePress: Portugal, 2013, Vol. 2, pp. 244–249. ISBN: 978-989-8565-39-6.
[14] Tyrin, I., Vylegzhanin, A., Kolbova, E., Kuznetzov, O., Skobelev, P., Tsarev, A. & Shepilov, Y., Multi-agent system ‘smart factory’ for real-time workshop management: results of design & implementation for Izhevsk Axion-Holding Factory. Proceedings of the 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation (ETFA 2012), September 17–22, 2012, Krakow, Poland, 4 pp. http://www.etfa2012.org/
[15] Shpilevoy, V., Shishov, A., Skobelev, P., Kolbova, E., Kazanskaia, D., Shepilov, Ya. & Tsarev, A., Multi-agent system ‘Smart Factory’ for real-time workshop management in aircraft jet engines production, Proceedings of the 11th IFAC Workshop on Intelligent Manufacturing Systems (IMS’13), May 22–24, 2013, São Paulo, Brazil, 2013.
[16] Blinov, S., Serduk, V., Onischenko, G., Laruchin, V., Ochkov, D., Skobelev, P. & Tsarev, A., Multi-agent system for managing mobile teams for Samara Region gas distributor, Proc. of International Conference on Complex Systems, Samara, Russia, 2013, pp. 64–69.
[17] Shabunin, A., Kuznetsov, N., Skobelev, P., Babanin, I., Stepanov, M. & Simonova, E., Multi-agent system for railways resource management. Mechatronics, Automation, Control. 1, pp. 23–29, 2013.
[18] Rzevski, G., Managing machine functionability using methods of complexity science, 2013 Annals of Mirce Mechanics, Mirce Akademy: Exeter, UK, January 2014, pp. 68–76.