Statistical Analysis of the Technological Processes Downtime Distribution in Manufacturing Prototypes of Devices on the Example of a Radio Assembly Shop
{"title":"Statistical Analysis of the Technological Processes Downtime Distribution in Manufacturing Prototypes of Devices on the Example of a Radio Assembly Shop","authors":"V. Paliy, S. Vantsov","doi":"10.18698/0236-3933-2023-2-39-50","DOIUrl":null,"url":null,"abstract":"The paper substantiates relevance of reducing downtime as an integral part of the enterprise profitability and competitiveness in modern economic conditions. Downtime of the pilot production, which is one of the main stages of the innovation process at the industrial enterprise, was analyzed. Problems of management, organization and planning in pilot production were revealed. Main stages of the devices manufacturing prototypes were considered. A new characteristic feature of pilot production was revealed, i.e., random production equipment downtime associated with errors in design of the products and preparation of technical documentation for their manufacture. Characteristics of random production equipment downtime was studied, which made it possible to prove their Poisson properties. Specific factors of downtime characterizing only the processes of creating the device prototypes were determined. Relationship between specific factors and general downtime was studied to find the factor most significant in terms of the amount of losses. Presence of such a factor leads to revision of existing and formation of fundamentally new approaches in creating technological chains in production of the experimental or prototype samples. Pilot production as part of the most instruments manufacturing enterprises determines high practical significance of the analysis performed","PeriodicalId":12961,"journal":{"name":"Herald of the Bauman Moscow State Technical University. Series Natural Sciences","volume":"24 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Herald of the Bauman Moscow State Technical University. Series Natural Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18698/0236-3933-2023-2-39-50","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0
Abstract
The paper substantiates relevance of reducing downtime as an integral part of the enterprise profitability and competitiveness in modern economic conditions. Downtime of the pilot production, which is one of the main stages of the innovation process at the industrial enterprise, was analyzed. Problems of management, organization and planning in pilot production were revealed. Main stages of the devices manufacturing prototypes were considered. A new characteristic feature of pilot production was revealed, i.e., random production equipment downtime associated with errors in design of the products and preparation of technical documentation for their manufacture. Characteristics of random production equipment downtime was studied, which made it possible to prove their Poisson properties. Specific factors of downtime characterizing only the processes of creating the device prototypes were determined. Relationship between specific factors and general downtime was studied to find the factor most significant in terms of the amount of losses. Presence of such a factor leads to revision of existing and formation of fundamentally new approaches in creating technological chains in production of the experimental or prototype samples. Pilot production as part of the most instruments manufacturing enterprises determines high practical significance of the analysis performed
期刊介绍:
The journal is aimed at publishing most significant results of fundamental and applied studies and developments performed at research and industrial institutions in the following trends (ASJC code): 2600 Mathematics 2200 Engineering 3100 Physics and Astronomy 1600 Chemistry 1700 Computer Science.