Total Quality Management
Available in 2013
|Callaghan Campus||Semester 2|
Previously offered in 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004
Total Quality Management (TQM) is a scientific approach for management and employees to be involved in the continuous improvement of processes underlying the production of goods and services. This approach is fundamental in business, industry, evidence-based medicine and many other disciplines.
Students who complete this course will be able to critically appraise management techniques, choose appropriate statistical techniques for improving processes and write reports to management describing processes and recommending ways to improve them. People need to be aware of what they can and can't do with data. Management is limited to what it knows and so too is the organisation. Awareness of statistical techniques and their use is paramount to collecting information and making decisions. Quanitative skills are necessary in order to make decisions - else you are just another person with an opinion.
|Objectives||On successful completion of this course, students will be able to:
1. Understand the fundamental principles of Total Quality Management.
2. Choose appropriate statistical techniques for improving processes.
3. Write reports to management describing processes and recommending ways to improve them.
4. Develop research skills that will allow them to keep abreast of changes in the field of Total Quality Management.
5. Emphasise the process of learning and discovery rather than the presentation of fact.
|Content||1. the Deming Quality philosophy (and that of other Quality theorists)
2. understanding variability of processes through statistical thinking
3. the role of management in a TQM organisation
4. the role of quality improvement teams and how to organise them
5. the "seven simple tools"
6. data collection through surveys and experimental design
7. basic statistical methods
8. more advanced statistical techniques such as control charts, statistical process control, and experimental design
9. quality standards (ISO9000)
10. complementary quality techniques such as benchmarking
|Assumed Knowledge||1000 level Statistics course
courses at 2000 level totalling 40 units from any degree program.
|Modes of Delivery||Internal Mode|
|Contact Hours||Lecture: for 2 hour(s) per Week for Full Term
Workshop: for 2 hour(s) per Week for Full Term
|Timetables||2013 Course Timetables for STAT3100|