FULL TEXT IN RUSSIAN


Mekhatronika, Avtomatizatsiya, Upravlenie, 2017, vol. 18, no. 12, pp. 829—839
DOI: 10.17587/mau.18.829-839


Self-Organized B2B Production Networks. Part 2. Architecture and Algorithmic Support

V. I. Gorodetsky, gor@iias.spb.su, O. L. Bukhvalov, psychoveter@gmail.com, St. Petersburg Institute for Informatics and Automation of Russian Academy of Sciences, St. Petersburg, 199178, Russian Federation

 

Corresponding author: Gorodetsky Vladimir I., D. Sc., Chief Scientists of Intelligent Systems Laboratory, St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, St. Petersburg, 199178, Russian Federation
e-mail: gor@iias.spb.su

Accepted on August 14, 2017

Network-centric business model implemented as open self-organizing B2B production network is a relatively novel paradigm of modern digital economy. It has become the subject of the active research and developments during the last times. In particular, this fact is proved by several dozen of the projects on this topic funded by the European Commission Programs during last 15 years. The developed countries consider this novel paradigm of production business organization as a solid trend and a new very promising future model for distributed business, virtual organizations and digital economy as a whole. The paper outlines and analyzes various aspects of this problem and their algorithmic support. In its Part II, the paper formulates the basic production management tasks to be solved in Â2Â production networks, those include distributed planning and distributed coordinated scheduling of resources of Â2Â production network nodes (particular companies, production plants), which resources are involved concurrently in multiple common production processes. The paper also analyses the basic (core and reusable) set of tasks and services of the infrastructure aimed to realize the self-organizing style of the Â2Â production network performance, to support of node interactions and communications, and to provide for the network with the openness. It outlines the basic algorithms solving the aforementioned tasks and refers to the previously developed software prototypes implementing the particular most complicated algorithms supporting Â2Â performance in stand-alone mode that justify the feasibility of the Â2Â paradigm of production network at current time.
Keywords: Â2Â networks, multi-agent architecture, self-organization, distributed coordination, software and communication infrastructure, planning, scheduling

Acknowledgments: The research is being performed according to the SPIIRAS Governmental Project ¹ 0073-2015-0003 and the Project # 214 of the Program #1.5P of the Russian Academy of Sciences

For citation:

Gorodetsky V. I., Bukhvalov O. L. Self-Organized B2B Production Networks. Part 2. Architecture and Algorithmic Support, Mekhatronika, Avtomatizatsiya, Upravlenie, 2017, vol. 18, no. 12, pp. 829—839.

DOI: 10.17587/mau.18.829-839

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