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所在平台: Udemy |
课程主页: https://www.udemy.com/course/a-to-z-of-statistical-process-control-spc/
课程评论：没有评论
**课程名称：** 统计过程控制（SPC）与数据分析 **课程概述：** 本课程旨在教授学员如何运用统计学技术进行过程控制，以监控生产或制造过程的行为，发掘内部系统问题，并在故障发生前采取纠正措施。课程强调基于事实和数据做出最佳决策，并深入探讨数据收集与解读在制造和 بهداشتی (service) 环境中的重要性。 **核心目标：** * 理解SPC在预防缺陷和驱动过程改进中的应用。 * 学习如何利用SPC对过程偏差进行调整或调查。 * 掌握如何防止不当或不必要的过程错误和调整。 * 了解导致过程失控的各种原因，以及当过程偏离控制时应采取的行动。 * 识别与机器磨损、操作员设置、原材料变化以及类似机器差异相关的质量问题。 **适用人群：** * 工艺工程师 * 质量工程师/官员 * 质量技术员 * 质量经理 * 工业工程师 * 制造行业专业人士 **学习收获：** * 能够描述SPC的关键概念、不同类型的控制图。 * 能够解释过程控制、控制限和过程能力的概念。 * 能够应用不同类型的控制图进行过程监控。 * 深入理解质量数据采集的关键技术，并掌握数据收集的指南和方法。 * （附赠）掌握用于产品评估的统计工具。 **课程资源：** * 提供免费可下载的模板、白皮书和其他资源，供学员练习和定制。
Statistical Process Control (SPC) refers to the use of statistical techniques to control a process, production or manufacturing method through monitoring of process behavior, as a result discovering issues related to internal systems, and allowing for corrective actions to be taken before failure occurs. The best decisions are made using facts and data. The collection and interpretation of data is equally important in manufacturing and service environments.One major goal of this course is to enable you understand how to use SPC to prevent defects from occurring and to drive process improvement. In this course, you will learn how the process champion can utilize SPC in taking action to adjust or investigate process deviation. You will learn how to prevent inappropriate or unnecessary process errors and adjustments. With the help of this course, you will learn the different causes of variation and what actions to take when a process is drifting out of control. This course will enable you to detect issues relating to machine wear, operator setup issues, raw material changes, and differences between similar machines that can affect the quality of your final products. You need this course, if you are aProcess engineerQuality engineer and/or officerQuality technicianQuality managerIndustrial engineerManufacturing professionalAt the end of this course, you would be able to describe key concepts in SPC, different types of control charts, explain the concepts of process control, control limits and process capability. You would be able to apply different kinds of control charts for process monitoring. You would gain thorough understanding of key techniques for capturing data in quality and state the different guidelines and methods for data collection. The course contains a bonus section of statistical tools for product evaluation.The course consists of FREE downloadable templates, white papers and other resources that you can practice with to enhance your skills or customize for your personal and/or professional usage.
