通过深度学习六西格玛在紧固件生产中的应用

IF 3.8 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL
M. Altug
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引用次数: 0

摘要

本研究的目的是在一家生产紧固件的企业进行的,该企业在该行业的市场份额方面处于领先地位。螺栓和螺母涂层中可能存在的缺陷,要么导致产品报废,要么从头到尾重复所有涂层过程。在这两种情况下,企业都面临着时间的浪费和过高的成本。通过本项目,有效运用六西格玛理论及其手段,提高了公司的效率和质量管理水平。六西格玛项目的选择也有助于创建用于项目筛选和财务结果评价的各种文件。六西格玛是一种优化策略,用于提高企业的盈利能力,避免浪费,报废和损失,降低成本,提高所有活动的有效性,以满足或超越客户的需求和期望。六西格玛的过程改进模型,即定义-测量-分析-改进-控制,为企业的经济和技术成就做出了贡献。一个过程的正态分布应该在平均值的±3西格玛范围内。这代表了99.7%的确定性。然而,通过使用六西格玛规则来改进流程,该规则严格接受流程的正常变变性两倍,将导致每种产品或服务的错误率为3.4 /百万,而不是2700 /百万。使用六西格玛实践来降低与低质量相关的成本并增加经济附加值已成为一种文化实践。这样,整个公司的六西格玛实践得以延续。利用六西格玛实践实现的年度成本降低可达21,780美元。如果还考虑到节省时间,每年可减少约30,000美元的损失。通过六西格玛项目改进后,涂层厚度效率从85%提高到95%。涂层厚度的效率有明显的提高。此外,涂层厚度效率也接近95% ~ 97%的目标值。独创性/价值利用深度学习对研究结果进行了优化。在深度学习中创建的模型的性能与实际性能相当接近。这一结果暗示了改进工作的有效性。研究结果可以作为在新项目中使用深度学习的指南。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of six sigma through deep learning in the production of fasteners
Purpose The purpose of this study was conducted at an enterprise that produces fasteners and is one of the leading companies in the sector in terms of market share. Possible defects in the coating of bolts and nuts either lead to products being scrapped or all of the coating process being repeated from beginning to end. In both cases, the enterprise faces a waste of time and excessive costs. Through this project, the six sigma theory and its means were effectively used to improve the efficiency and quality management of the company. The selection of the six sigma project has also contributed to the creation of various documents to be used for project screening and evaluation of financial results. Design/methodology/approach Six sigma is an optimization strategy that is used to improve the profitability of businesses, avoid waste, scrap and losses, reduce costs and improve the effectiveness of all activities to meet or exceed customers’ needs and expectations. Six sigma’s process improvement model, known as Definition-Measurement-Analysis-Improvement-Control, contributes to the economic and technical achievements of businesses. The normal distribution of a process should be within ±3 sigma of the mean. This represents a scale of 99.7% certainty. However, improving the process through the utilization of the six sigma rule, which accepts normal variabilities of processes twice as strict, will result in an error rate of 3.4 per million instead of 2,700 per million for each product or service. Findings Using six sigma practices to reduce the costs associated with low quality and to increase economic added value became a cultural practice. With this, the continuation of six sigma practices throughout the Company was intended. The annual cost reduction achieved with the utilization of six sigma practices can be up to $21,780. When time savings are also considered, a loss reduction of about $30,000 each year can be achieved. The coating thickness efficiency increased from 85% to 95% after the improvements made through the six sigma project. There is a significant increase in the efficiency of coating thickness. In addition, the coating thickness efficiency is also close to the target value of 95%–97%. Originality/value The results of the study were optimized with the help of deep learning. The performance of the model created in deep learning was quite close to the actual performance. This result implicates the validity of the improvement work. The results may act as a guide for the use of deep learning in new projects.
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来源期刊
International Journal of Lean Six Sigma
International Journal of Lean Six Sigma Engineering-Industrial and Manufacturing Engineering
CiteScore
8.90
自引率
15.00%
发文量
46
期刊介绍: Launched in 2010, International Journal of Lean Six Sigma publishes original, empirical and review papers, case studies and theoretical frameworks or models related to Lean and Six Sigma methodologies. High quality submissions are sought from academics, researchers, practitioners and leading management consultants from around the world. Research, case studies and examples can be cited from manufacturing, service and public sectors. This includes manufacturing, health, financial services, local government, education, professional services, IT Services, transport, etc.
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