Course Code & Number:
Level of Course:
Pre-requisites & Co-requisites:
Familiarize the student with various philosophies and definitions of quality Teach the principle components of a quality system Teach the basic approaches to designing, implementing and managing a quality system Teach on-line statistical process control and its relationship to capability assessment and improvement Teach the basics of acceptance sampling both from an analytical and an applications perspective Teach how to measure component reliability and how to model the reliability structure of a complex system as a function of theconstituent component reliabilities Develop an introductory knowledge of experimental design with particular emphasis on tools such as one-way and two-way ANOVA and factorial design, and impart an understanding of the relevance of these tools in the context of off-line quality control Introduce the basics of the Taguchi method with a particular emphasis on the continuous loss function and robust design.
Principles of quality control systems. Process control. Specification and Tolerances. Process capability studies; control charts. Acceptance sampling plans. Cost aspects of quality decisions.
Upon succesful completion of this course, a student will be able to
1. Describe the total quality management philosophy. (j, B2)
2. Select and use appropriate online process control tools to monitor the evolution of a production process with respect to an attribute or variable type quality characteristic. (b2, B4)
3. Select an appropriate acceptance sampling process to ensure desired levels of customer and producer protection in the shipment of finished lots.(e, B3)
4. Model system reliability and other relevant parameters such as mean time between failures as a function of component reliabilities. (e, B3)
5. Select and use an appropriate experimental design scheme to determine the control factors that affect quality. (b1, B3)
6. Interpret the interactions between control and noise factors. (c, B2)