Open AccessAPPLICATION OF THE SEMI-MARKOV MODEL FOR INVESTIGATION THE PARAMETERS OF MECHANICAL ASSEMBLY PRODUCTION TAKING INTO ACCOUNT DIFFERENT TYPES OF FAILURES
Author(s) -
Yurii Rapatskiy,
Victoria Lipka
Publication year - 2022
Publication title -
voronežskij naučno-tehničeskij vestnik
Language(s) - English
Resource type - Journals
ISSN - 2311-8873
DOI - 10.34220/2311-8873-2022-52-64
Subject(s) - production (economics) , reliability engineering , consistency (knowledge bases) , reliability (semiconductor) , computer science , markov chain , markov model , productivity , industrial engineering , production cycle , manufacturing engineering , engineering , artificial intelligence , machine learning , power (physics) , physics , quantum mechanics , economics , macroeconomics
A technique is proposed for studying the productivity and reliability of technological processes of mechanical assembly production at the stages of the life cycle of mechanical engineering products. A semi-Markov mathematical model is proposed that makes it possible to analyze, for example, the technological processes of manufacturing threaded connections. In the proposed model, the distribution functions (DF) of the service time of a unit of production are determined, taking into account failures. FDs make it possible to ensure informational consistency of models of various hierarchical levels and to study the relationship between the stages of the life cycle of mechanical engineering products.