Reliability and Quality Control
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Description
Statistical methods are important in many areas of industry and commerce. This includes the modelling and control of processes needed for the levels of quality and reliability essential in a competitive manufacturing environment. They also form the basis for designing experiments that are an essential part of research and development. Many of the methods developed originally for manufacturing are applied increasingly in service industries and in areas such as the monitoring of surgical outcomes. This course is concerned with the statistical process control, the design of industrial experiments and statistical basis of system reliability.
Objective
Total Quality Management or Continuous Quality
Improvement is rapidly becoming common usage in business and industry.
Even in the University there are discussions about Quality Improvement
for teaching and research. The subject aims to introduce students to
the ideas of quality management and the use of statistical methods in
this field. At the end of this subject, students should be able to:
understand the role of quality control and quality improvement in
organisations,
apply the ideas of TQM to organisations and identify appropriate
strategies for dealing with issues of quality,
identify which type of control chart is appropriate for
particular data, apply that control chart and draw conclusions,
design simple factorial experiments, analyse data from factorial
experiments and draw conclusions.
Content
Topics covered are: reliability definitions, types of failure, confidence levels, MTBF concepts, prediction of reliability from life test data; quality control and assurance: definition of quality, data presentation, quality control methods; total quality management: measurement and audit methods, quality improvement.
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| Year |
Semester |
Level |
Units |
| 2012 |
1 |
4 |
3 |
Delivery
28 hours lectures, tutorials or equivalent
Assessment
Ongoing assessment 30%, exam 70%.
Graduate attributes
Linkage past
APP MTH 2004 Laplace Transforms and Probability and Statistical Methods
Linkage present
No present linkages have been noted.
Linkage future
This course is not recorded as prequisite for other courses.
Restrictions
Cannot be counted with STATS 3000 Statistics for Quality Improvement III
Recommended text
None.
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