This Advanced Quality Engineering coursework requires students to apply quantitative quality-management techniques to a realistic manufacturing scenario involving the production of precision components. The assessment combines measurement system analysis, process capability evaluation and Statistical Process Control (SPC) to determine whether measurement and manufacturing processes are sufficiently reliable and capable of meeting specified engineering requirements. The first stage focuses on Gauge Repeatability and Reproducibility (Gauge R&R). Students are provided with measurements from ten components, with each component measured twice by two different operators. Using the supplied data and the module's Gauge R&R calculator, students must assess whether the measurement system is capable of evaluating a critical component dimension specified between 115 mm and 116 mm. This section tests the ability to evaluate measurement variation and determine the suitability of a measuring system for quality-control purposes. The second task requires comparison of two CNC machining processes. Historical batch measurements from a Honzaki CNC vertical milling machine are compared with measurements from a replacement Kawda CNC vertical milling machine. Students must calculate the Cp and Cpk process capability indices for both processes, interpret the results and determine which process is better suited to producing components within specification. Recommendations for process improvement and responsibility for corrective action must also be considered. The final task applies Statistical Process Control. Students must construct appropriate X-bar and R control charts, calculate the relevant control limits, plot process performance and investigate potential out-of-control conditions to identify differences between components produced by the two machines. Supporting module material emphasises the distinction between common and special causes of variation, interpretation of abnormal control-chart patterns, process capability and the use of SPC as a feedback mechanism for preventing defective output and improving manufacturing quality. Reference style: keep this as Not specified in the portal. The handbook requires external material to be properly acknowledged, but the uploaded guideline does not prescribe Harvard, APA, IEEE or another named referencing system.
Advanced Quality Engineering · Gauge R&R · Measurement System Analysis · MSA · Repeatability · Reproducibility · Process Capability · Cp · Cpk · Statistical Process Control · SPC · X-bar Chart
Megaminds has supported academic requirements in quality engineering / manufacturing engineering / statistical quality contro, advanced quality engineering and related disciplines.