Abstract

To solve the problems of overconsumption and the increasing environmental pollution brought by rapid industrial development, governments around the world have been introducing a series of green manufacturing (GM) policies to reduce the negative effects of manufacturing. A high-quality product means less time wasted on interruptions and restarts in the production process as well as less waste and defective products. However, once the quality of the product reaches a certain level (e.g., five Sigma), it becomes harder to attain greater economic and environmental benefits. Clearly, both excessive and inadequate quality exert a profound impact on corporations, society, and the environment. This study presents an improved Q_pm multiple quality characteristic analysis chart (Q_pm MQCAC) to ensure that product quality meets a specified standard with minimum input. Quality optimization is used to improve quality characteristics which do not meet the standard by joint monitoring of possible shifts in the process mean µ and/or process standard deviation σ. A guide is also provided to ensure successful quality improvement. The proposed approach not only identifies the factors that influence production quality, but avoids excessive consumption of resources, thereby achieving GM goals. The proposed approach is demonstrated in a step-by-step manner using the example of a steering knuckle pin. Future works are also discussed.

摘要

为解决工业快速发展带来的过度消费和日益严重的环境污染问题，世界各国政府纷纷出台一系列绿色制造（GM）政策，以减少制造业的负面影响。高质量的产品意味着更少的时间浪费在生产过程的中断和重新启动上，以及更少的浪费和有缺陷的产品。然而，一旦产品质量达到一定水平（例如，5 Sigma），就很难获得更大的经济和环境效益。显然，质量过高和不足都会对企业、社会和环境产生深远的影响。本研究提出了改进的Q _pm 多质量特性分析图（Q _pm MQCAC) 以确保产品质量以最少的投入达到指定的标准。质量优化用于通过联合监控过程平均值μ和/或过程标准偏差σ的可能变化来改进不符合标准的质量特性。还提供了一个指南，以确保成功的质量改进。所提出的方法不仅确定了影响生产质量的因素，而且避免了资源的过度消耗，从而实现了转基因目标。使用转向节销的示例以分步方式演示了所提出的方法。还讨论了未来的工作。