An Introduction to Acceptance Sampling and Spc with R
暫譯: 使用 R 語言的接受抽樣與統計過程控制入門
Lawson, John
- 出版商: CRC
- 出版日期: 2021-02-25
- 售價: $6,190
- 貴賓價: 9.5 折 $5,881
- 語言: 英文
- 頁數: 304
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 0367569957
- ISBN-13: 9780367569952
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商品描述
An Introduction to Acceptance Sampling and SPC with R is an introduction to statistical methods used in monitoring, controlling and improving quality. Topics covered include acceptance sampling; Shewhart control charts for Phase I studies; graphical and statistical tools for discovering and eliminating the cause of out-of-control-conditions; Cusum and EWMA control charts for Phase II process monitoring; and the design and analysis of experiments for process troubleshooting and discovering ways to improve process output. Origins of statistical quality control and the technical topics presented in the remainder of the book are those recommended in the ANSI/ASQ/ISO guidelines and standards for industry. The final chapter ties everything together by discussing modern management philosophies that encourage the use of the technical methods presented earlier.
In the modern world sampling plans and the statistical calculations used in statistical quality control are done with the help of computers. As an open source high-level programming language with flexible graphical output options, R runs on Windows, Mac and Linux operating systems, and has add-on packages that equal or exceed the capability of commercial software for statistical methods used in quality control. In this book, we will focus on several R packages. In addition to demonstrating how to use R for acceptance sampling and control charts, this book will concentrate on how the use of these specific tools can lead to quality improvements both within a company and within their supplier companies.
This would be a suitable book for a one-semester undergraduate course emphasizing statistical quality control for engineering majors (such as manufacturing engineering or industrial engineering), or a supplemental text for a graduate engineering course that included quality control topics.
商品描述(中文翻譯)
《使用 R 進行接受抽樣與統計過程控制簡介》是一本介紹用於監控、控制和改善品質的統計方法的書籍。涵蓋的主題包括接受抽樣；用於第一階段研究的 Shewhart 控制圖；發現和消除失控狀況原因的圖形和統計工具；用於第二階段過程監控的 Cusum 和 EWMA 控制圖；以及用於過程故障排除和發現改善過程輸出的實驗設計與分析。統計品質控制的起源以及本書其餘部分所呈現的技術主題均符合 ANSI/ASQ/ISO 行業指導方針和標準。最後一章將所有內容串聯起來，討論現代管理哲學，鼓勵使用前面介紹的技術方法。
在現代世界中，抽樣計劃和統計品質控制中使用的統計計算都是在計算機的幫助下完成的。作為一種開源的高級程式語言，R 提供靈活的圖形輸出選項，能在 Windows、Mac 和 Linux 操作系統上運行，並擁有的附加套件的功能可與商業統計軟體相媲美或超越。本書將重點介紹幾個 R 套件。除了演示如何使用 R 進行接受抽樣和控制圖外，本書還將集中探討這些特定工具的使用如何能在公司內部及其供應商公司中促進品質改善。
這本書適合用於強調統計品質控制的工程專業本科生一學期課程（例如製造工程或工業工程），或作為包含品質控制主題的研究生工程課程的補充教材。
作者簡介
John Lawson is a Professor Emeritus from the Statistics Department at Brigham Young University where he taught from 1986-2019. He is an ASQ-CQE and he has a Masters Degree in Statistics from Rutgers University and a PhD in Applied Statistics from the Polytechnic Institute of N.Y. He worked as a statistician for Johnson & Johnson Corporation from 1971 to 1976, and he worked at FMC Corporation Chemical Division from 1976 to 1986 where he was the Manager of Statistical Services. He is the author of Design and Analysis of Experiments with R, CRC Press, and the co-author (with John Erjavec) of Basic Experimental Strategies and Data Analysis for Science and Engineering, CRC Press.
作者簡介(中文翻譯)
約翰·勞森是布里格姆楊大學統計系的名譽教授，於1986年至2019年間任教。他是ASQ-CQE，並擁有羅格斯大學的統計碩士學位以及紐約理工學院的應用統計博士學位。他曾於1971年至1976年在強生公司擔任統計師，並於1976年至1986年在FMC公司化學部門工作，擔任統計服務經理。他是《使用R進行實驗設計與分析》（Design and Analysis of Experiments with R，CRC Press）的作者，並與約翰·艾爾雅維奇（John Erjavec）共同撰寫《科學與工程的基本實驗策略與數據分析》（Basic Experimental Strategies and Data Analysis for Science and Engineering，CRC Press）。
