A New Approach to Managing Life Cycle of Aerospace Products using Complexity Theory

Problem statement: The lifecycle of a large aerospace product consists of a very large number of interconnected activities, which are normally partitioned into several phases such as Design, Production, Operation and Decommissioning. Today, there is no central lifecycle management system. A new approach to the aerospace product lifecycle management based on concepts and principles of Complexity Science is described in this paper. Methods: A new lifecycle management system is suggested Product Lifecycle Management (PLM) Service has been designed as an adaptive network of computational services based on multi-agent technology with ontology. Results: A concept of PLM system that have a requisite granularity and requisite complexity in order to manage other complex system. Advantages of the suggested approach are shown based on the complex aerospace products example. Basic components of PLM Service architecture are specified and their interaction mechanism is described. A decision to use ontologies for conceptual knowledge description, required to manage the whole lifecycle and multi-agent approach for interconnected services network design where each server is dedicated to a particular lifecycle management function is justified. An architecture of an adaptive Aerospace PLM Service is developed. Developed models and methods of decisionmaking support in different system components allow to provide an appropriate reaction to the disruptive events on all aerospace products lifecycle phases. Practical value: The new solution to the existing problem of aerospace products lifecycle management with PLM Service provides distributed decision-making capable of revising the decision in real time whenever a disruptive event occurs, productivity improvement and costs reduction of aerospace product lifecycles.

жизненный цикл изделия, управление жизненным циклом, Сервис управления жизненным циклом изделия, поддержка принятия решений, адаптивное управление, мультиагентная технология, онтология, product lifecycle, lifecycle management, PLM Service, decision-making support, adaptive management, multi-agent technologies, ontology

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 Publishing Co., 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. 258 p.

8. Rzevski G., Skobelev P. Managing Complexity, WIT Press, 2014.

9. Rzevski G. Self-organization in social systems // Онтология проектирования. 2014. № 4 (14). С. 8-17.

10. Виттих В. А., Моисеева Т. В., Скобелев П. О. Принятие решений на основе консенсуса с применением мультиагентных технологий // Онтология проектирования. 2013. № 2 (8). С. 20-25.

11. Скобелев П. О. Ситуационное управление и мультиагентные технологии: коллективный поиск согласованных решений в диалоге // Онтология проектирования. 2013. № 2 (8). С. 26-48.

12. Боргест Н. М. Научный базис онтологии проектирования // Онтология проектирования. 2013. № 1 (7). С. 7-25.

13. Madsen В., Skobelev P., Rzevski G., Tsarev A. Real-Time Multi-agent Forecasting and Replenishment Solution for LEGO Branded Retail Outlets // International Journal of Software Innovation. IGI Global. 2013. V. 1, Iss. 2. P. 28-39.

14. 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. P. 29-35.

15. Andreev S., Rzevski G., Shveykin P., Skobelev P., Yankov I. Multi-Agent Scheduler for Rent-A-Car Companies // Proc. of the Forth Int. Conf. on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2009, Linz, Austria. Lecture Notes in Computer Science. Springer, 2009. V. 5696. P. 305-314.

16. Himoff J., Rzevski G., Skobelev P. Magenta Technology: Multi-Agent Logistics i-Scheduler for Road Transportation // Proc. of the Fifth Int. Joint Conf. on Autonomous Agents and Multi-Agent Systems, Hakodate, Japan, 2006. P. 1541-1521.

17. Granichin O., Skobelev P., Lada A., Mayorov I., Tsarev A. Cargo transportation models analysis using multi-agent adaptive realtime truck scheduling system // Proc. of the 5th Int. Conf. on Agents and Artificial Intelligence (ICAART'2013), February 15-18, 2013, Barcelona, Spain. SciTePress, 2013. V. 2. P. 244-249.

18. Tyrin I., Vylegzhanin A., Kolbova E., Kuznetzov O., Skobelev P., Tsarev A., Shepilov Ya. Multi-Agent System "Smart Factory" for Realtime Workshop Management: Results of Design & Implementation for Izhevsk Axion-Holding Factory // Proc. of the 2012 IEEE 17th Int. Conf. on Emerging Technologies & Factory Automation (ETFA 2012), September 17-22, 2012, Krakow, Poland. 4 p. DOI: 10.1109/ETFA.2012.6489694.

19. 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 // Proc. of the 11th IFAC Workshop on Intelligent Manufacturing Systems (IMS'13), May 22-24, 2013, Sao Paulo, Brazil, 2013. P. 204-209.

20. Блинов С. В., Сердюк В. Е., Онищенко Г. В., Скобелев П. О., Ларюхин В. Б., Очков Д. С., Царев А. В., Томин В. А. Мультиагентная система управления мобильными бригадами для Средневолжской газовой компании // Тр. XIV Междунар. конф. "Проблемы управления и моделирования в сложных системах", Самара, 22-25 июня 2012 г. Самара: СНЦРАН, 2012. С. 741-745.

21. Шабунин А. Б., Кузнецов Н. А., Скобелев П. О., Бабанин И. О., Кожевников С. С., Симонова Е. В., Степанов М. Е., Царев А. В. Разработка мультиагентной системы адаптивного управления ресурсами ОАО "РЖД" // Мехатроника, автоматизация, управление. 2013. № 1. С. 23-29.