Industrial Engineering

DEPARTMENT OF INDUSTRIAL AND MANUFACTURING ENGINEERING AND BUSINESS  

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IEN-572, Quality Systems II

2001 Catalog Data: IEN-572, Quality System II: Reliability and Maintainability

Credits: (4-0-4)

Course Description: This course covers the topics of methods of reliability and maintainability that are used in the manufacturing and service industries. It includes reliability definition, reliability measures, reliability testing, reliability data analysis, system reliability, basic reliability tools, and maintained systems.

Prerequisites: IEN-332, Engineering Statistics II; or MATH 408, Probability and Statistics; or MATH-226, Management Statistics I

Co-requisites: None

Textbook: Class lecture notes

References: Class handouts

Course Learning Objectives:

Upon completion of this course, the students should have the ability to:

  • Define, recall and use the concept of statistical thinking. [IE PEO’s 1,3]

  • Explain the basic reliability and maintainability concepts. [ IE PEO’s 1,2,3]

  • Relate variation reduction to reliability and maintainability improvement. [IE PEO’s 1,3]

  • Recognize the role of reliability in product improvement. [IE PEO’s 1,2,3]

  • Describe and apply the reliability and maintainability data analysis in product and process improvement. [IE PEO’s 1,2,3]

  • Apply appropriate reliability tools for product improvement. [IE PEO’s 3,4,5]

Prerequisites by Topics:

  • Basic probability concepts

  • Descriptive statistics

  • Basic inferential statistics

  • Proficient in using MINITAB

Topics Covered:

  • Reliability philosophies, fundamentals and continuous improvement

  • Basic probability, statistical methods in R&M

  • Reliability measures and failure rate analysis

  • Static system reliability models

  • Dynamic system reliability models

  • Life test data analysis

  • Sequential life test

  • Reliability allocation and prediction

  • Basic reliability tools

  • Maintainability  analysis  

Class Schedule: 240 minutes per week

Computer Usage: Statistical package MINITAB will be used throughout this course.

Laboratory Projects: Term project or mini projects may be assigned

Relationship to Professional Component: Engineering science: 4 credit hours

Prepared by: Tony Lin                                                                         Date: February 19,2001