Mar 13, 2025  
2023-2024 Undergraduate Academic Catalog-June Update 
    
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2023-2024 Undergraduate Academic Catalog-June Update [ARCHIVED CATALOG]

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IND 3400 - Quality Systems

3 lecture hours 0 lab hours 3 credits
Course Description
Improved quality and efficient systems have 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, acceptance and sampling, the course also details other quantitative and qualitative tools and approaches used in quality analysis and improvement.  The course is intended to present quality concepts, tools, and techniques in sufficient breath to be applicable to both manufacturing and the service sector. (prereq: IND 2030 ) (quarter system prereq: IE 2030)
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Identify and describe the components of quality
  • Identify major quality engineering techniques
  • Identify the roles of quality in organizations
  • Discuss the importance of quality improvement as a strategic management issue
  • Identify fundamental concepts and techniques advanced by Deming, Juran, Fiegenbaum, and Crosby
  • 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
  • Describe the importance of and be able to implement a Measurement System Analysis
  • Specify, develop, and interpret acceptance sampling plans
  • Improve communications skills
Prerequisites by Topic
  • Solid ability to graphically analyze data
  • Conduct hypothesis testing
  • Statistically analyze and evaluate data using probability distributions and make a strongly defendable statistical and practical decision based upon the testing
Course Topics
  • Overview of quality
  • Basics of Six Sigma-DMAIC process
  • Basics of Lean
  • 8D process
  • SPC: control charts for variables
  • SPC: control charts for attributes
  • System capability analysis
  • Measurement System Analysis (i.e., Gage R & R, Attribute Agreement Analysis)
  • Acceptance sampling
  • Basic Reliability Analysis
Coordinator
Dr. Douglas Grabenstetter


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