Douglas Montgomery's Introduction to Statistical Quality Control - Ramirez, M. S. Brenda S.; Ramirez, Ph. D. Jose G.
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Master Statistical Quality Control using JMP ! Using examples from the popular textbook by Douglas Montgomery, Introduction to Statistical Quality Control: A JMP Companion demonstrates the powerful Statistical Quality Control (SQC) tools found in JMP. Geared toward students and practitioners of SQC who are using these techniques to monitor and improve products and processes, this companion provides step-by-step instructions on how to use JMP to generate the output and solutions found in Montgomery's book. The authors combine their many years of experience as passionate practitioners of SQC and…mehr

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Produktbeschreibung
Master Statistical Quality Control using JMP ! Using examples from the popular textbook by Douglas Montgomery, Introduction to Statistical Quality Control: A JMP Companion demonstrates the powerful Statistical Quality Control (SQC) tools found in JMP. Geared toward students and practitioners of SQC who are using these techniques to monitor and improve products and processes, this companion provides step-by-step instructions on how to use JMP to generate the output and solutions found in Montgomery's book. The authors combine their many years of experience as passionate practitioners of SQC and their expertise using JMP to highlight the recent advances in JMP's Analyze menu, and in particular, Quality and Process. Key JMP platforms include: Control Chart Builder CUSUM Control Chart Control Chart (XBar, IR, P, NP, C, U, UWMA, EWMA, CUSUM) Process Screening Process Capability Measurement System Analysis Time Series Multivariate Control Chart Multivariate and Principal Components Distribution For anyone who wants to learn how to use JMP to more easily explore data using tools associated with Statistical Process Control, Process Capability Analysis, Measurement System Analysis, Advanced Statistical Process Control, and Process Health Assessment, this book is a must!
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Autorenporträt
Brenda S. Ramírez, MS, is an industrial statistician with many years of experience working in the semiconductor, chemical, and biotechnology industries. In this role, Brenda partners with engineers and scientists to bring new products to market, sustain manufacturing operations, and guide process improvements through the union of science and statistics. She has spent her career using and promoting Statistical Quality Control techniques, such as SPC and Process Stability metrics. Brenda received an MS in applied statistics from Worcester Polytechnic Institute and an MS in industrial and management engineering from Rensselaer Polytechnic Institute. She is an avid user of SAS and JMP statistical software from SAS. Her book, Analyzing and Interpreting Continuous Data Using JMP: A Step-by-Step Guide, written with her husband José Ramírez, won the 2010 Award of Excellence in the Society for Technical Communications International Technical Publications Competition.