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.
Required: Mathematics for Students of Social Sciences: Set Theory, Logic and Linear Algebra
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.