Apr 19, 2024  
2017-2018 Undergraduate Academic Catalog 
    
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2017-2018 Undergraduate Academic Catalog [ARCHIVED CATALOG]

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IE 348 - Quality Assurance (SPC)

3 lecture hours 0 lab hours 3 credits
Course Description
Improved quality has been identified as one of the most critical issues facing business today, essential to assuring competitiveness in a global economy. While emphasis is placed upon the techniques of statistical process control and acceptance sampling, the course also details other graphical tools of quality analysis, explicitly connecting quality to productivity and costs. The course is intended to present quality concepts, tools and techniques in sufficient breadth so as to be applicable to both manufacturing and the service sector. (prereq: MA 262 , IE 203  or IE 2030 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Discuss the importance of quality improvement as a strategic management issue
  • List the fundamental concepts and techniques advanced by Deming, Juran, Fiegenbaum, and Crosby
  • Successfully characterize and evaluate process capability
  • Specify, create, implement, and interpret fundamental variables and attributes control charts
  • Utilize graphical methods for efficient data analysis and problem solving
  • Develop acceptance sampling plan OC curves
  • Specify and interpret basic acceptance sampling systems such as ANSI/ASQC Z1.4
  • Design appropriate quality control systems
  • Define the relationship between statistical design of experiments and process control techniques
  • Apply QA techniques to both manufacturing and service sectors
  • Improve communications skills
Prerequisites by Topic
  • Good understanding of statistical distributions, variability, and using software to do hypothesis testing, analysis of variance, and conduct and interpret other statistical tests
Course Topics
  • What is quality?
  • How is quality defined
  • Quality improvement
  • The DMAIC process
  • Methods and philosophy of SPC
  • Control charts for variables
  • Control charts for attributes
  • System capability analysis
  • CUSUM and EWMA charts
  • Acceptance sampling
Laboratory Topics
  • No laboratory in this course
Coordinator
Doug Grabenstetter


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