Total Quality Management

Course code STAT6100Units 10Level 6000Faculty of Science and Information TechnologySchool of Mathematical and Physical Sciences

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. Quantitative skills are necessary in order to make decisions - else you are just another person with an opinion.

Available in 2015

Callaghan CampusSemester 2
WebLearn GradSchoolSemester 2
Previously offered in 2014
ObjectivesOn 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.
ContentSpecific topics covered include:
. The Deming Quality philosophy (and that of other Quality theorists)
. understanding variability of processes through statistical thinking
. the role of management and leadership in a TQM organisation
. the role of quality improvement teams and how to organise them
. the "seven simple tools";
. data collection through surveys and experimental design;
. basic statistical methods;
. more advanced statistical techniques such as control charts, statistical process control and experimental design;
. quality standards (ISO9000);
. complementary quality techniques such as benchmarking
Replacing Course(s)n/a
Industrial Experience0
Assumed KnowledgeNil
Modes of DeliveryDistance Learning : IT Based
Internal Mode
Teaching MethodsLecture
Assessment Items
Essays / Written Assignments
Examination: FormalOR Q-Team project submission OR essay and extra assignment
Other: (please specify)Workshop participation.

Assessment items may vary dependent on location and mode of delivery. Details will be provided on the course outline.
Quiz - Class
Contact HoursWorkshop: for 2 hour(s) per Week for Full Term
Lecture: for 2 hour(s) per Week for Full Term
Timetables2015 Course Timetables for STAT6100