Statistical Quality Control
This course provides a historical view of quality, introduction of the concept of Total Quality Management (TQM), Statistical Fundamentals, principles and concepts of statistical quality control, quality improvement tools, control charts for variables, control charts for attributes, choice between attribute and variable control charts, process capability measures, types of attribute acceptance sampling plans, characteristics of acceptance sampling plans, producer consumers relationships, performance of acceptance sampling plans, economics of acceptance sampling plans, standard attribute acceptance sampling plans applications and limitation, and case studies.
Utilize contemporary technologies, codes of practice and standards, quality guidelines, health and safety requirements, environmental issues and risk management principles. Solve manufacturing and service industry technical/management problems utilizing Undergraduate Program of Industrial Engineering (IENG) knowledge such as production planning and control, production scheduling, quality engineering, and inventory management. Analyze and model problems presented by industrial entities