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首页> 外文期刊>Engineering Management Journal. >A Quality-Based Business Model for Determining Non-product Investment: A Case Study From a Ford Automotive Engine Plant
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A Quality-Based Business Model for Determining Non-product Investment: A Case Study From a Ford Automotive Engine Plant

机译：确定非产品投资的基于质量的业务模型：福特汽车发动机厂的案例研究

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摘要

This article presents an innovative approach for determining non-product investment in the maintenance of manufacturing facilities using quality-based statistical principles. Degradation of process capability (C{sub}(pk)) over time with respect to key part specifications is analyzed using a regression model to predict the need for investment. While the preferred approach is to track process capability at all stations in a production line, this becomes prohibitively expensive and impractical in many industries, including engine manufacturing plants. By modeling the trend in C{sub}(pk) values from only the end of the production line, using subject matter experts (SMEs) when necessary, one can still identify production stations/areas of weakness in a manufacturing facility with reasonable effectiveness. We propose such a method to help plant managers prioritize their limited maintenance resources. The methodology is validated using a case study from an automotive engine plant of Ford Motor Company. It is being disseminated as a "best practice" to other manufacturing facilities at Ford.
机译：本文提出了一种创新的方法，该方法使用基于质量的统计原理来确定制造工厂维护中的非产品投资。相对于关键零件规格，随着时间的推移，工艺能力的下降（C {sub}（pk））使用回归模型分析，以预测投资需求。尽管首选的方法是跟踪生产线中所有站点的处理能力，但是这在包括发动机制造厂在内的许多行业中变得非常昂贵且不切实际。通过仅从生产线的末端建模C {sub}（pk）值的趋势，并在必要时使用主题专家（SME），人们仍然可以以合理的效率识别制造设施中的生产站点/薄弱区域。我们提出了这样一种方法，以帮助工厂经理确定其有限的维护资源的优先级。该方法论已通过福特汽车公司汽车发动机厂的案例研究得到验证。它被作为“最佳实践”传播给福特的其他制造工厂。

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