| Development of metallurgy and machine-building in Novorossiya and Crimea | |
| ArticleName | Analysis and modeling of complex steel workpieces processing based on graph theory and Markovian processes |
| DOI | 10.17580/chm.2026.04.08 |
| ArticleAuthor | G. V. Nevar, S. I. Roshchupkin, S. M. Bratan |
| ArticleAuthorData | Sevastopol State University, Sevastopol, Russia G. V. Nevar, Senior Lecturer, Dept. "Instrument Engineering and Transport", e-mail: gvnevar@sevsu.ru |
| Abstract | This paper examines the problem of reducing the production cycle for steel parts by developing and implementing the concept of complex workpieces for the simultaneous machining of several parts. This paper proposes representing the technological process of machining a complex workpiece as a directed graph, where vertices correspond to operations and edges correspond to transitions between them. This graph utilizes stochastic models such as Markovian random processes to account for uncertainty. The proposed approach is particularly relevant in highly responsive manufacturing environments, which require rapid adaptation to changing market demands and a customized approach to product manufacturing. Modeling the technological process allows for optimization of the sequence of operations, minimization of equipment changeover times, and ensuring consistent product quality. |
| keywords | Complex workpiece, steel workpiece, group machining, Markovian processes, graph theory, technological process |
| References | 1. Voronenko V. P., Sedykh M. I., Shashin A. D. Problems of carrying out technological preparation of production in multi-production facilities. Innovative Technologies in Metalworking: All-Russian Scientific and Practical Correspondence Conference with International Participation: Collection of Scientific Papers (dedicated to the 90th anniversary of Honored Scientist and Technician of the RSFSR, Doctor of Engineering Sciences, Professor L. V. Khudobin), Ulyanovsk, November 25, 2018. Edited by N. I. Vetkasov. Ulyanovsk: Ulyanovsk State Technical University, 2019. pp. 326–330. |
| Language of full-text | russian |
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