Statistical Analysis of the Technological Processes Downtime Distribution in Manufacturing Prototypes of Devices on the Example of a Radio Assembly Shop

Q3 Mathematics
V. Paliy, S. Vantsov
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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
设备原型制造工艺流程停机时间分布的统计分析——以某无线电装配车间为例
在现代经济条件下,减少停机时间是企业盈利能力和竞争力的重要组成部分。对工业企业创新过程的主要阶段——中试生产停机时间进行了分析。揭示了中试生产中存在的管理、组织和计划问题。考虑了设备制造原型的主要阶段。揭示了试点生产的一个新特征,即随机生产设备停机时间与产品设计错误和制造技术文件的准备有关。研究了随机生产设备停机的特性,从而证明了它们的泊松性质。确定了仅表征创建设备原型过程的停机时间的具体因素。研究了特定因素与一般停机时间之间的关系,以找出在损失金额方面最重要的因素。这种因素的存在导致对现有的修改和在实验或原型样品的生产中创建技术链的根本新方法的形成。作为中试生产的一部分,对大多数仪器制造企业进行了分析,具有较高的现实意义
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来源期刊
CiteScore
1.10
自引率
0.00%
发文量
40
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.
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