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A Novel Rework Costing Methodology Applied To a Bus Manufacturing Company

机译:一种新颖的返工成本核算方法应用于公交车制造公司

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This paper focuses on the quality costs analysis in the automotive industry, specifically a bus manufacturing company. The main goal was to improve the quality costs indicator, by providing means to evaluate the failure cost within the productive process. Kaizen-lean principles were used as methodology. A quality cost analysis was made based on literature review and in an ISO standard in quality costs. Process analysis was made based on the PDCA (Plan, Do, Check, Act) cycle. As the main achievements of this article, the quality costs were identified as well as its sources. Then, by collecting a very significant amount of data, from various departments, regarding each of the identified costs, it was possible to measure these costs and create a database to scorecard them – including rework costs. Due to the lack of rework costs information, a great part of this analysis focused on data collection and estimating/calculating these associated costs. Thus, it was possible to develop associated KPI’s (Key Performance Indicators) to support decision making and a graphic indicator to show the overall balance between quality costs and non-quality costs. In this process, some difficulties were found as well as some opportunities for improvement. The critical ones were implemented during this project, while the others are scheduled for future work. In terms of a more technological approach to these studies, some autonomous systems can exist, although it comes at a great cost. However, the 4.0 Industry concept is evolving and fits perfectly in the quality costs monitorization context: an integrated information system with a global data network allows for a quick check-up of all the quality costs, by category, while freeing employees from doing this work manually.
机译:本文着重于汽车行业,特别是公共汽车制造公司的质量成本分析。主要目标是通过提供评估生产过程中的故障成本的手段来改进质量成本指标。精简改善原则被用作方法论。基于文献回顾和质量成本的ISO标准进行了质量成本分析。根据PDCA(计划,执行,检查,执行)周期进行过程分析。作为本文的主要成就,确定了质量成本及其来源。然后,通过从各个部门收集有关每个已识别成本的非常大量的数据,可以测量这些成本并创建一个数据库以对它们进行计分,包括返工成本。由于缺乏返工成本信息,因此此分析的很大一部分集中在数据收集和估计/计算这些相关成本上。因此,可以开发相关的KPI(关键绩效指标)来支持决策,并可以使用图形指标来显示质量成本和非质量成本之间的总体平衡。在此过程中,发现了一些困难以及改进的机会。关键项目是在此项目中实施的,而其他项目则计划用于将来的工作。就这些研究的技术而言,尽管存在成本高昂的情况,但可以存在一些自治系统。但是,4.0行业的概念正在发展,并且非常适合质量成本监控环境:具有全球数据网络的集成信息系统可以按类别快速检查所有质量成本,同时使员工免于此项工作手动。

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