Voronezh, Voronezh, Russian Federation
The typical feature of the modern furniture market is the focus on the individual requirements of end customers. Custom-made production is designed to satisfy these requests. It imposes strict requirements to the timing and quality of design and technological preparation of the furniture production. By now only few domestic furniture enterprises have the necessary financial and human resources for fast and high-quality design development. The article describes the features of the approach to solving the design and engineering preproduction problems based on the virtual furniture design bureau (VFDB) concept. This concept means developing of the unified control environment which can provide fast and high-quality carrying out the furniture design orders from different distributed enterprises. For modeling the controlled design environment, it is suggested to use a multi-agent approach, which provides for interaction between different types of agents working on the same or different projects. As an example, four types of agents are identified in the article and their main functions are described in relation to the object structural and attribute model (OSAM) usage, which provides a multidimensional model representation of the cabinet furniture product design. To solve the main tasks of the design and engineering preproduction, agents should be equipped with appropriate design and management tools. The necessary tools should be included in modern CAD systems. It is suggested to implement the access of design participants to the necessary CAD software using cloud technologies based on time-based remote licensing of software modules. An example of such software is the BAZIS-Cloud service, which is provided by the Bazis-Center company. This service provides a solution to a number of the cabinet furniture design and engineering preproduction tasks in on-line mode using time-based remote licensing.
Custom-made production, cabinet furniture, the virtual furniture design bureau, distributed design, the object structural and attribute model, multi-agent environment, multi-agent environment control, the cabinet furniture CAD system, cloud technologies, time-based remote licen-sing.
1. KOMPAS-3D sdal ekzamen na virtualizaciyu po tehnologii NVIDIA GRID vGPU. - URL: https://sapr.ru/article/24942 (data obrascheniya 28.03.2022).
2. T-FLEX CAD proshel 3D testirovanie na VDI na platforme VMware Horizon i vSphere s primeneniem tehnologii NVIDIA GRID (vGPU). - URL: https://tflex.ru/about/news/detail/index. php?ID=3627 (data obrascheniya 28.03.2022).
3. Menyaem podhody k rabote s SAPR. - URL: https://slddigital.com/article/ meniaem-podkhody-k-rabote-s-sapr (data obrascheniya 28.03.2022).
4. Polnaya lineyka sistem proektirovaniya ASKON dostupna cherez “oblako” Cloud 4 Business. - URL: http://ascon.ru/press/news/ items/?news=995 (data obrascheniya 28.03.2022).
5. Starikov, A.V. Ispol'zovanie oblachnyh tehnologiy v organizacii distancionnogo obucheniya osnovam avtomatizirovannogo proektirovaniya / A.V. Starikov, A.A. Starikova // Sovershenstvovanie metodiki prepodavaniya v tehnicheskom vuze : sb. nauch. tr. po materialam Vserossiyskoy nauchno-metodicheskoy konferencii. - Voronezh, 2021. - S. 126-131.
6. Starikov, A.V. Obzor sovremennyh SAPR dlya mebel'noy promyshlennosti / A.V. Starikov, A.A. Starikova // Aktual'nye napravleniya nauchnyh issledovaniy XXI veka: teoriya i praktika. - 2020. - T.8, №1 (48). - S. 244-249. - DOI:https://doi.org/10.34220/2308-8877-2020-8-1-244-249.
7. Starikov, A.V. Mul'tiagentnyy podhod k razrabotke sistemy upravleniya processom raspredelennogo proektirovaniya mebeli / A.V. Starikov, D.A. Meshkov // Aktual'nye napravleniya nauchnyh issledovaniy XXI veka: teoriya i praktika. - 2020. - T.8, №1 (48). - S. 238-243. - DOI:https://doi.org/10.34220/2308-8877-2020-8-1-238-243.
8. Diaconescu, I.M. Modeling and Simulation of Web-of-Things Systems as MultiAgent Systems / I.M. Diaconescu, G. Wagner // Multiagent System Technologies. 13-th German Conference, MATES 2015. - Cottbus, Germany, 2015. - P. 248. - DOIhttps://doi.org/10.1007/978-3-319-27343-3_8.
9. Altameem, T. An agent-based approach for dynamic adjustment of scheduled jobs in computational grids / T. Altameem, M. Amoon // Journal of Computer and Systems Sciences International. - 2010. - Vol. 49, № 5. - Pp. 765-772.
10. Conceptual Model of Problem-Oriented Heterogeneous Distributed Computing Environment with Multi-Agent Management / I. Bychkov, G. Oparin, A. Tchernykh [et al.] // Procedia Computer Science. - 2017. - Vol. 103. - Pp. 162-167.
11. Gladkov, L.A. Evolyucioniruyuschie mnogoagentnye sistemy i evolyucionnoe proektirovanie / L.A. Gladkov, N.V. Gladkova // Izvestiya YuFU. Tehnicheskie nauki. - №4. - 2020. - S. 48-57. - DOI:https://doi.org/10.18522/2311-3103-2020-4-48-59.
12. Bunakov, P.Yu. Problemy vnedreniya oblachnyh tehnologiy v SAPR / P.Yu. Bunakov, A.A. Pletnev // Vestnik komp'yuternyh i informacionnyh tehnologiy. - 2015. - № 2. - S. 9-14. - DOI:https://doi.org/10.14489/vkit.2015.02.pp.009-014.
13. Pletnev, A.A. Tehnologiya povremennogo udalennogo licenzirovaniya lokal'nyh kopiy SAPR “BAZIS” / A.A. Pletnev // SAPR i grafika. - 2012. - № 11. - S. 80-83.
14. Shvecov A.N. Agentno-orientirovannye sistemy: ot formal'nyh modeley k promyshlennym prilozheniyam. - URL: http://window.edu.ru/resource/179/ 56179/files/62333e1-st20.pdf (data obrascheniya 28.03.2022).
15. Ontology-based open multi-agent systems for adaptive resource management / P. Scobelev, A. Zhilyaev, V. Larukhin [et al.] // Proceedings of the 12-th International Conference on Agents and Artificial Intelligence. - 2020. - Vol. 1: ICAART. - Pp. 127-135. - DOI:https://doi.org/10.5220/0008896301270135.
16. Lyapustin, A.E. Bezopasnost' mul'tiagentnoy platformy / A.E. Lyapustin // Programmnye sistemy i vychislitel'nye metody. - 2017. - №3. - S. 16-24.
17. Yuleysi, G.P. Vzaimodeystvie v mnogoagentnyh sistemah intellektual'nogo analiza dannyh / G.P. Yuleysi, I.I. Holod // Izvestiya SPbGEU “LETI”. - 2020. - № 3. - S. 18-23.
18. Khazab, M. Web-based multi-agent system architecture in dynamic environment / M. Khazab, J. Tweedale, L. Jain // International Journal of Knowledge-based and Intelligent Engineering Systems. - 2010. - Vol. 14, I. 4.- Pp. 217-227. - DOIhttps://doi.org/10.3233/KES-2010-0203.
19. Kim, J. Cooperative multi-agent interaction and evaluation framework considering competitive networks with dynamic topology changes / J. Kim, H. Lee // Applied Sciences. - 2020. - Vol. 10 (17) - C. 5828.- DOI:https://doi.org/10.3390/app10175828. - URL: https://www.mdpi.com/2076-3417/10/ 17/5828.
20. Metody i sredstva postroeniya intellektual'nyh sistem dlya resheniya slozhnyh zadach adaptivnogo upravleniya resursami v real'nom vremeni / S.P. Grachev, A.A. Zhilyaev, B.B. Laryuhin [i dr.] // Avtomatika i telemehanika. - 2021. - №11. - S. 30-67. - DOI:https://doi.org/10.31857/S0005231021110039.
