当代质量管理控制图

Ibrahim Bedane, T. Jima
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引用次数: 1

摘要

质量一直是几乎所有产品和服务的一个组成部分。在各方面不断超越客户和供应商的需求、要求和期望。然而,我们对其重要性的认识以及对质量控制和改进的正式方法的引入是一个渐进的发展过程。本文介绍了当代质量管理的核心概念质量控制技术控制图通过持续监测、控制和管理过程来测量、分析和控制质量,通过持续生产和提供低缺品率的服务来持续改进目标,以满足客户和供应商的需求、要求和期望。抽样,样本量和样本数抽样所涵盖的人口比例的合理子组,是两个基本的质量监测和控制,以管理产品和服务的质量在持续改进的可容忍数量和/或百分比缺陷。为了监视过程的质量特性,必须使用质量管理中使用的适当的控制图,该控制图能够显示质量特性的行为随时间的演变,并检测似乎呈现某些异常的情况。因此,本文探讨了选择质量管理的应用,提出了基于抽样合理子组的样本量和样本数以及样本容量置信度为γ%的总体比例的控制图,利用缺陷数对过程进行监控,从而实现质量的持续改进。在本文中,控制图涉及使用统计和数学技术来测量和分析过程意图的变化,以监控产品质量并保持过程达到固定目标。本文展示了如何使用建议的控制图来监视离散数据,并展示了图表背后的假设,它们的应用,以及它们的解释,以通过监视和管理质量维护过程来测量、分析和控制质量,以不断改进目标,以在越来越低的缺陷率内制造出设计的产品。这些工具的优点是,它们可以识别过程的影响,这些过程导致过程中的非自然变化,从而导致在满足客户和供方需求时,以越来越低的缺陷百分比提供服务的缺陷和质量差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contemporary Quality Management Control Chart
Quality always has been an integral part of virtually all products and services. It is continuously meeting exceeding customer and supplier needs, requirements and expectations in all aspects. However, our awareness of its importance and the introduction of formal methods for quality control and improvement have been an evolutionary development. This article present Core concepts of contemporary quality management Quality Control techniques Control Chart to measure, analyze and control quality by continuously monitoring, controlling and managing process maintaining sampling to continuously Improvable targets by continuously producing and offering services within low and lower Percentage Defectives in meeting exceeding customer and supplier needs, requirements and expectations. Sampling, Sample size and sample numbers of Proportion of population covered with sampling Rational sub group, are two basic for quality monitoring and control to manage quality of products as well as services within Continuously improving tolerable number and/or Percentage Defectives. To monitor the quality characteristics of a process, appropriate Control chart used in quality management capable of showing the evolution over time of the behavior of the quality characteristics and detecting situations that seem to present certain anomalies must be used. Thus, This Article deals with the application of selected Quality Management and propose Control chart based on Sample size and sample numbers of sampling Rational sub group and Proportion of population covered with γ% Confidence of sample size n to monitor process using number of defectives, through which we can achieve continuous quality improvement. In this paper, Control chart involves using statistical and mathematical techniques were used to measure and analyze the variation in processes intent to monitor product quality and maintain processes to fixed targets. this article show how to use proposed control charts to monitor discrete data and present the assumptions behind the charts, their application, and their interpretation to measure, analyze and control quality by monitoring and managing quality maintaining processes to continuously Improvable targets to manufacture a product as designed within low and lower Percentage Defectives. The advantage of these tools is that they can identify the effects of the processes that cause unnatural variability in processes that result of Defectives and poor quality in offering services within low and lower Percentage Defectives in meeting exceeding customer and supplier needs.
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