STAT6100

Total Quality Management

10 Units

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.

Faculty Faculty of Science and Information Technology
School School of Mathematical and Physical Sciences
Availability Semester 2 - 2014 (Callaghan Campus)
Semester 2 - 2014 (WebLearn GradSchool)

Previously offered in 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004

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

Specific 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
Transition n/a
Industrial Experience 0
Assumed Knowledge Nil
Modes of Delivery Distance Learning : IT Based
Internal Mode
Teaching Methods Lecture
Workshop
Assessment Items
  • Essays / Written Assignments -
  • Examination: Formal - OR Q-Team project submission OR essay and extra assignment
  • Journal -
  • 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 Hours
  • Workshop: for 2 hour(s) per Week for Full Term
  • Lecture: for 2 hour(s) per Week for Full Term
Compulsory Components None listed
Course Materials None listed
Timetable 2014 Course Timetables for STAT6100

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