Multivariate Statistical Quality Control Using R

1. Front Matter

   Pages i-x

   PDF

2. A Small Introduction

   • Edgar Santos-Fernández

   Pages 1-15

3. Multivariate Control Charts

   • Edgar Santos-Fernández

   Pages 17-61

4. Multivariate Process Capability Indices (MPCI)

   • Edgar Santos-Fernández

   Pages 63-85

5. Tools of Support to MSQC

   • Edgar Santos-Fernández

   Pages 87-106

6. Study Cases

   • Edgar Santos-Fernández

   Pages 107-119

7. Back Matter

   Pages 121-127

   PDF

​​​​​The intensive use of automatic data acquisition system and the use of cloud computing for process monitoring have led to an increased occurrence of industrial processes that utilize statistical process control and capability analysis.  These analyses are performed almost exclusively with multivariate methodologies. The aim of this Brief is to present the most important MSQC techniques developed in R language. The book is divided into two  parts. The first part contains the basic R elements, an introduction to statistical procedures, and the main aspects related to Statistical Quality Control (SQC). The second part covers the construction of multivariate control charts, the calculation of Multivariate Capability Indices. 

• MSQC
• R
• multivariate analysis
• multivariate methodologies
• multivariate statistical quality control
• statistical quality control

The author does a nice job explaining a variety of concepts and clearly demonstrates their use with examples supported by R code and graphics...In summary, I believe that this is a good R text on MSQC methods and how to implement them in R. I would recommend this text to quality, industrial, and process engineers.
Technometrics 65:1 2014

• Abreu de Las Villas, Universidad Central Marta, Villa Clara, Cuba

  Edgar Santos-Fernández

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