10948 Quality Control
Credits: 6 advanced credits in Industrial Engineering and Management
Prerequisites: 36 credits, including Statistical Inference or Introduction to Statistics for Students of Social Sciences II. Students must also fulfill all English requirements and take bibliographic instruction in the Library.
The course is based on Introduction to Statistical Quality Control (6th ed.), by D.C. Montgomery (John Wiley & Sons, 2008), and on supplementary materials by D. Benson-Karhi.
The course provides students with the basic knowledge required to learn the approaches, methods and tools of statistical process control, quality assurance and quality management.
Objectives: To expose students to the historical background and the basic concepts of quality engineering; To provide students with the knowledge (tools, methods and models) required to design and apply quality control systems; To provide students with the methods required to analyze quality control systems and to make short- and long-term decisions; To enable students to apply SPC models using the SPSS software package.
Topics: Introduction to quality engineering; Statistical methods useful in quality control; Introduction to statistical process control; Control charts for variables; Control charts for attributes; Process capability; Other statistical process control techniques; Process design and improvement with designed experiments; Acceptance sampling.