Smart Factory

Yaroslav Shepilov, Daria Pavlova, Daria Kazanskaia, Valerii Novikov. Multithreading MAS for real time scheduling // Proceedings of the 16th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (IEEE/ACIS SNPD 2015), 1-3 June, 2015, Takamatsu, Japan. IEEE, 2015. P. 1-6.

The scheduling is widely used for organizing the processes in time in different spheres ranging from the simple school timetables to production plans of the biggest factories with  thousands of employees. In the most of cases this process has to be supported and managed by the complex tools, sometimes based on mathematical principles. In the paper the description of scheduling problem is given, the existing methods and tools for solving this problem are described, the approach based on multiagent multithreading application is considered. Nowadays there exist numerous approaches to solving of the scheduling problem. The suggested method of multithreading multi-agent scheduling allows efficient and fast solution of complex problems featuring rapid dynamic changes and uncertainty that cannot be handled by the other methods and tools.

Daria Kazanskaia, Yaroslav Shepilov, Bjorn Madsen. Adaptive production management for small-lot enterprise // V. Marik, et al. (Eds.): Proceedings of the 7th International Conference on  Industrial Applications of Holonic and Multi-Agent Systems (HoloMAS2015), September 2-4, 2015, Valencia, Spain. HoloMas 2015, LNAI 9266. P. 157-168, 2015. Springer International Publishing, Switzerland, 2015

Currently the methodology of eliminating the negative effects of the issues in ramp-up stage mostly involves the increase in investment and updating the design data. In the paper the authors consider an approach that can be applied on every level of ramp-up production: from suppliers to shopfloor operators. The architecture of the system is described and the first implementation results are given.

Alexander Tsarev, Daria Kazanskaia, Petr Skobelev, Sergey Kozhevnikov, Vladimir Larukhin, Yaroslav Shepilov. Knowledge-driven adaptive production management based on real-time user feedback and ontology updates // Proceedings of the EEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2013), October 13-16, 2013, Manchester, UK. 2013. P. 4755-4759.

This paper presents the principles of the knowledgedriven adaptive management in manufacturing. The problems of real-time resource allocation, reaction to the unexpected events, on-the-fly update of the knowledge stored in ontology are considered. The possibilities of simultaneous change of the existing factory or workshop processes and schedules according to the information provided by the users are described. Finally, the possible ways of development of the presented approach and its application in production resource management are considered. 

Cesar Marin, Lars Moench, Paulo Leitao, Pavel Vrba, Daria Kazanskaia, Vadim Chepegin, Liwei Liu, Nikolay Mehandjiev. A Conceptual Architecture Based on Intelligent Services for Manufacturing Support Systems // Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2013), October 13-16, 2013, Manchester, UK. 2013. P. 4749-4754.

The contribution of this paper is a conceptual architecture based on intelligent services for manufacturing support systems. Current approaches cannot cope with the dynamism inherent in the manufacturing domain, where unexpected and drastic changes occur at any time and affect cross-boundary systems. Our approach alleviates these issues and focuses on the need for supporting real-time automatic negotiation, planning, scheduling and optimisation, intra and across factories. We present an execution example of our approach in the aerospace industry, instantiating the conceptual architecture using different technologies. With this we push forward a new definition of Intelligent Services and indicate future work in the area.

This paper discusses the methodology for the development of a strategic planning tool, and particularly the architectural solution to be adopted, within an integrated ICT solution for the improvement of planning and scheduling systems for the manufacturing of small production lots of complex products. After the analysis of different possible architectural solutions, the paper proposes a hybrid solution that combines existing solvers with the multi-agent system principles. The proposed approach introduces several benefits, namely in terms of flexibility, robustness, and achievement of exploratory alternative solutions, playing interactive what-if simulation supporting decision-makers to take strategic decisions.

The paper presents design principles of multi-agent system Smart Factory for real time resource management in manufacturing workshops. This objective is achieved by flexible event-driven reaction on changes in factory environment, resource allocation, scheduling, optimization and controlling in real time. The developed method of adaptive resource scheduling based on multi-agent technology, main functionality and architecture of the system are discussed. The results of application and measured benefits for aircraft jet engines manufacturer are presented.

This paper describes the results of design and implementation of a multi-agent system for real time scheduling and controlling in the Izhevsk Axion-Holding Factory. Lessons learned, key measured benefits of solution and perspectives are presented.

The paper describes intelligent system Smart Factory which is designed to increase factory productivity and efficiency of resources utilization in real time (including equipment, manpower, materials, etc.).
The objectives and key areas of application are considered and it is shown that system provides flexible event-driven reaction on changes in factory environment, resource allocation, scheduling, optimization and controlling in real time. The developed method of adaptive resource scheduling, main functionality of system and examples of screens are discussed.
The results of implementation and measured benefits for Izhevsk Axion Holding are presented.

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