• Quality Management
    • School of Mechanical Engineering
    • Credit. 4
    • BU354
    • Enroll
    • Spring , 2015
    • 5103
    • Course Description:
    • ( Exchange Programme )
    • Quality Management is one of the core major courses in industrial engineering which deals with problems in quality category. By learning it we can systematically study the concepts and theories of quality,and the techniques of quality management. The course lays the foundation of students’ later learning, researching and working in the fields of quality management, quality control and reliability. During the training industrial engineers, it plays an important role in enhancing students’ comprehensive analysis and problem solving ability in quality management, manufacturing and service industry.
    • Course Syllabus:
    • After completing the course, students should:
      The course aimed at training students’ capability of mastering the basic quality management theories, methods, techniques and developing comprehensive analytical and problem solving ability in quality management, manufacturing and service industry. Specifics are as follows:
      1. Know the development history of quality management as well as the importance of it and the role it plays in modern social economics.
      2. Further master the theoretical knowledge of quality management along with methods of quality management and quality control.
      3. Skillfully apply quality management tools and techniques, especially computer aided quality management software, thus develop operation ability.
      4. Deeply understand the contents of quality management and quality control. Apply it to practical use and learn how to find out and improve the factors which impact quality, thereby developing abilities in analyzing and resolving practical problems.
    • Schedule:
    • Topics / Credit hours / Teaching methodology / Tasks / Intended learning outcomes / Assessment methods

      1. Introduction / 2 Credit hours / Classroom instruction / Null / Learn the three historical periods of the evolution of quality management & Understand the basic contents , main ideas and new situation of quality problems& Identify research object and main contents in quality management area / Calculation & proof / Null
      2.The ISO 9000 family of standards and quality systems / 2 Credit hours / Classroom instruction / Null / Master the structure and core standard of the ISO 9000 family of standards and the two ways of promoting the establishment of quality systems; Grasp management ideas of the ISO 9000 family of standards, including its’ emphasis on providing customers guides and requirements; process is the foundation of system structure; operation system controls process; etc. Understand the planning and design of quality system, quality system document compilation and commissioning and improvement of quality system.Understand main contents of quality system documents and evolution history of The ISO 9000 family of standards / Null
      3. Statistical methods in Quality Managemen / 8 Credit hours / Classroom instruction / Homework / Grasp common statistical analytical methods in quality management, including basic principles and procedures of the Pareto Chart, the cause-and-effect diagram, the scatter plot, the histogram, the control chart, the check sheet and top and bottom process. Grasp description and model of quality shift, including frequency distribution and histogram, common probability distribution in quality management like Binominal distribution, Poisson distribution, Normal distribution and some useful approximations; Understand estimation of process parameters, including point estimation and interval estimation, on the base of which understands hypothesis testing of process parameter. Understand main contents of regression analysis, including one variable linear regression, one variable nonlinear regression, multi-variable linear regression; Understand the main contents of related data obtainment and arrangement in quality management / Null
      4. Statistical process control (SPC) and Shewhart control chart / 8 Credit hours / Classroom instruction / Use branch and bound, linear program relaxation method to solve mixed integer linear programs and combinatorial optimization problems / Understand the meaning, evolution history and procedure of statistical process control ; Grasp principles of control chart, mainly including the meaning of control chart and two explanations of control chart principles. On the base of it, further grasp the judgment criteria, like criteria to judge whether the process is stable Grasp the various types and usage of the Shewhart control chart. Know several general control chart, like Pr chart, PnT chart, CT chart and UT chart/ Null
      5. Process Capability analysis / 6 Credit hours / Classroom instruction / Homework / Know the meaning of Process Capability and Process Capability Index; Grasp how to denote Process Capability Index and how to compute it in every situation; Know how to compute nonconformity rates of a process;Grasp how to judge and analyze Process Capability Index and ways to improve Process Capability Index / Null
      6. Design of experiment and Taguchi Methodology / 10 Credit hours / Classroom instruction & exeprimen / Homework / Grasp main contents of design of experiment, including its overview and three principles. Emphasize on the principles and procedures of the single factor experiment design, two-factor experiment design, and orthogonal experiment design; Know basic problems in quality improvement, including related concepts, management work, common procedures, support tools and techniques; Know brief contents of Taguchi Methodology, like three stage design method, Parameter Design and Tolerance design / Null
      7. Quality improvement methods and tools / 8 Credit hours / Classroom instruction & exeprimen / Homework / Know QC team and the use of QC methodology; grasp principles and methods of structured management methodology; know 7steps to solve problems; Grasp new 7 QC tools and choose an example to describe them in class by using PPT.; Grasp the method of language processing, including processing nonnumeric data in production and service area; Learn and grasp the method of language processing through laboratory course with examples/ Null
      8. Latest quality management ideas and methodology / 4 Credit hours / Classroom instruction / Homework / Know zero defect management strategy, mistake-proofing design and devices; familiar with mistake-proofing techniques in design, manufacture and service; Know origin and contents of six-sigma management. Grasp procedures to implement six-sigma / Null
  • Reading list
  • Other Materials
  • Discussion
  • Homework download/submit
    • Li Yanting
    • Read more
    • Female
    • E-mail:
    • ytli@sjtu.edu.cn
    • Profile
  • Prerequisite Course:

    Industrial Statistics, Probability and Statistics

  • Textbooks:

    Eugene L. Grant, Statistical Quality Control, Mc Graw Hill Press, Version 7
  • Grading:

    30% / Homework, attendance and performance in class
    70% / Final examination (close-book exam)
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