Note: This is an archived Handbook entry from 2008.Search for this in the current handbook
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2008:Semester 2, - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: Thirty lectures and 18 hours of tutorial/practice class work |
Total Time Commitment: Not available
|Prerequisites:||620-370 Statistics for Mechanical Engineers or for Bachelor of Engineering/Bachelor of Commerce students: 316-130 Quantitative Methods 1.|
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:||None|
|Core Participation Requirements:||
For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.
It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability
CoordinatorDr A Smith
|Subject Overview:|| |
Upon completion of this subject, students should be able to understand what constitutes a quality system (both generally and with respect to international standards); develop strategies for implementing a quality system and its components; identify quality costs and use them for the economic analysis of quality projects; understand and quantify the relationships between process capability and tolerances; design a 'single' attribute or variables sampling scheme to meet stated requirements, analyse and assess all common types of sampling schemes; design, analyse and interpret 'Shewhart-type' process control charts and CUSUMS for process control.
Topics covered include total quality management, productivity and cost relationships; quality systems and their components, including international standards; interaction between quality and design functions; alternate systems approaches, including leading international concepts; quality control: the control function in quality; theory of sampling; the operating characteristic curve; the use of statistical distributions; sampling scheme design and analysis; quality improvement: process variability - measures and interaction with design; process capability and improvement studies; control charting; state of statistical stability; computerisation of process monitoring; cumulative sum techniques for quality studies; experimental design for quality improvement.
|Assessment:||One 3-hour examination at the end of semester (70%), 3 assignments and 1 lab report not exceeding 2200 words each excluding appendices, computations, diagrams, tables and computer output due throughout the semester (30%).|
|Recommended Texts:|| |
Information Not Available
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
|Generic Skills:|| |
Bachelor of Engineering (EngineeringManagement)Mechanical&Manufacturing |
Bachelor of Engineering (Mechanical &Manufacturing)& Bachelor of Science
Bachelor of Engineering (Mechanical &Manufacturing)/Bachelor of Commerce
Bachelor of Engineering (Mechanical and Manufacturing Engineering)
Bachelor of Engineering (Mechatronics) and Bachelor of Computer Science
Graduate Certificate in Engineering (Engineering Management)
Graduate Diploma in Engineering (Engineering Management)
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