MGT505 Foundations of Quality Management (8)


This subject aims to introduce students to the history and leading theories in the field of quality management. It explores the functions and processes of quality management and encourages students to critically reflect on quality management practice in particular contexts. We look at: what is quality; how quality can be managed; and explore what are the main principles, methods and tools of quality management in contemporary organisations.

+ Subject Availability Modes and Location

Session 3
DistanceBathurst Campus
Continuing students should consult the SAL for current offering details: MGT505
Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Subject information

Duration Grading System School:
One sessionHD/FLSchool of Management and Marketing

Enrolment restrictions

Postgraduate students

Learning Outcomes

Upon successful completion of this subject, students should:
  • be able to compare and contrast theories, techniques and tools used in Quality Management;
  • be able to analyse the relationship between the organisation and the individual, and describe how this impacts Quality Management;
  • be able to discuss the applications of Quality Management techniques, in particular organisations;
  • be able to evaluate the implementation of Quality Management systems; and
  • be able to devise appropriate solutions for Quality Management implementation issues in particular organisations.


The subject will cover the following topics:
  • Quality management and quality assurance.
  • Quality costs.
  • Quality and income.
  • Quality related decision making.
  • Quality costing in practice.
  • Motivating employee participation in improvement activities.
  • Quality circles in context.
  • Quality circle methods.
  • Basic tools of quality circles.
  • Modelling process quality.
  • How the control chart works.
  • Statistical process control and continuous improvement.
  • Productivity improvement through statistical process control.


The information contained in the 2016 CSU Handbook was accurate at the date of publication: 06 September 2016. The University reserves the right to vary the information at any time without notice.