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The Calculation of the Spare Parts in the Auto-service Enterprise on the Base of Real Demand

机译:基于实际需求的汽车服务企业备件计算

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The main goal of the work is the development of a methodology for calculating the spare parts of cars in a service center for the period of replenishment of spare parts, tools, accessories, the English version - spare parts, instruments, accessories - SPIA on the basis of analysis of statistical information on the failures of the details of each standard. This information should be accumulated on daily information about the replacement of spare parts of failed parts in vehicles that arrived during the entire period of replenishment for maintenance at this service station. Previously, from the totality of a finite number of competing hypotheses about a possible theoretical parametric distribution of failures (including diffusion distributions), the distribution function most consistent with the empirical distribution function is chosen by Kolmogorov- Smirnov's agreement criterion. When calculating the failure distribution function in the theory of system reliability, information is usually used about the main characteristic of failures-the time between failures, and in the absence of such information, they use the number of failures at certain points in time. To this end, the relationship between the expressions for the distribution function of the operating time to a fixed number of failures and the function of the distribution of the number of failures for a fixed operating time to failure is established in this paper. This makes it possible to calculate the planned need for spare parts on the basis of the available statistics of failure of parts (and replacement of their corresponding spare parts) in previous planning periods. Given that fatigue wear of one part, even before its complete failure, can diffusively affect the performance of other car parts, in the aggregate of competing functions for the distribution of failures of parts included diffusion monotonic (DM) and diffusion no monotonic (DM). The proposed methodology is approved for the calculation of spare parts for individual component sizes and, in general, for any car parts by the example of a particular auto service company in the replenishment period of the SPIA equal to one calendar month.
机译:这项工作的主要目的是开发一种用于在维修中心补充零件,工具,配件的时期内计算汽车零件的方法,英文版-零件,仪器,配件-SPIA on统计信息分析基础上每个标准的失败细节。该信息应存储在有关在整个补给期内维修该服务站的车辆中出现故障的备件的更换的日常信息中。以前,从关于故障可能的理论参数分布(包括扩散分布)的有限数量的竞争性假设的总和中,最符合经验分布函数的分布函数是根据Kolmogorov-Smirnov的协议标准选择的。在根据系统可靠性理论计算故障分布函数时,通常使用有关故障主要特征的信息(故障之间的时间),并且在没有此类信息的情况下,它们会使用特定时间点的故障数量。为此,本文建立了固定故障次数下的运行时间分布函数表达式和固定故障次数下的故障数分布函数之间的关系。这样就可以根据先前计划期间的零件故障(以及相应备件的更换)的可用统计数据来计算备件的计划需求。鉴于一个零件的疲劳磨损,即使在其完全失效之前,也可能会扩散影响其他汽车零件的性能,在零件失效分布的竞争功能汇总中,包括扩散单调(DM)和非扩散单调(DM) 。所提议的方法已被批准用于计算单个组件尺寸的备件,并且通常以某汽车服务公司为例,在SPIA的补充期等于一个日历月的情况下,计算任何汽车零件的备件。

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