Title
Applications in teaching Statistical Quality Control with different R interfaces
Abstract
Continual improvement in the quality of products, processes, and services has been facilitated by applying statistical methods. The statistical process control technique (SPC) provides enhanced results, as it utilizes statistical methods throughout all the developmental stages of a project and/or production. One of these techniques is control charts, which are powerful tools for viewing and understanding different types of process variations. Therefore, it is essential for professionals linked to engineering and technological fields to be familiar with these techniques and software programs, in order to facilitate the development process for creating control charts. The majority of these software programs designed for easy utilization and friendly interface for SPC applications are sold at high prices and thereby make access impossible to this computational resource for freelance professionals, small businesses, and especially students. The GNU R interface is open source and provides free access as one of the alternatives. So, for this purpose, this paper presents the description and application of control charts in three different R interfaces, as its objective is to use them for the teaching and learning process.
Year
DOI
Venue
2013
10.1109/EduCon.2013.6530099
Global Engineering Education Conference
Keywords
Field
DocType
control engineering computing,quality control,statistical analysis,statistical process control,teaching,GNU R interface,SPC applications,computational resource,control charts,developmental stages,engineering fields,freelance professionals,learning process,process variations,small businesses,software programs,statistical process control technique,statistical quality control teaching,technological fields,R Commander,RExcel,RStudio,Statistical Quality Control
Software engineering,R interface,Computer science,Control chart,Software,Statistical process control,Computational resource,Statistical analysis
Conference
ISSN
ISBN
Citations 
2165-9559 E-ISBN : 978-1-4673-6109-5
978-1-4673-6109-5
0
PageRank 
References 
Authors
0.34
2
7