Industrial Data Analysis Unit

INDUSTRIAL DATA ANALYSIS UNIT

In today's highly competitive environment, Australian business must manage its operations effectively. Excellent data collection and analyses are essential to achieve this goal. To assist industry with these methods, the Industrial Data Analysis Unit has been established as a joint initiative of the Technology Management Centre and the Centre for Statistics, with funding from these Centres and the Departments of Chemical Engineering and Mechanical Engineering. The aims of the unit are:

To offer expertise in collection, analysis and interpretation of industrial data to solve technology and management problems.
To foster collaboration with industry in the transfer of this expertise from university to industry.
To integrate industry sponsored studies with teaching in the programs for the Master of Engineering Technology Management and Master of Environmental Management and to offer specialised short courses on data collection and analysis.
To promote new research into quantitative methods for industrial data analysis.

Current Projects

Projects under current investigation include:

Analysis of warranty data for pneumatic valves
Analysis of car warranty data
Analysis of rolling stock failure
Analysis of bus maintenance data

and several projects being carried out by students in the Master of Engineering and Technology Management and the Master of Environmental Management programs.

Staff and Their Interests

The Unit is jointly co-ordinated by Dr Murthy (Technology Management Centre) and Dr Wilson (CSTAT), and integrated with the teaching programs at the Technology Management Centre.

A number of eminent staff from the funding groups are associated with the Unit:

Technology Management Centre

Dr Pra Murthy

CSTAT:

Chemical Engineering

Professor Paul Greenfield
Andre Krol
Peter Lee
Professor Ted White

Mechanical Engineering

Sam Asokanthan
David Radcliffe

Their interests include the following topics:

Process control in complex systems
Environmental quality control
Quality in manufacturing and in service
Maintenance and operation of complex systems
Design and analysis of industrial experimentation
Stochastic modelling and data analysis
Analysis of warranty data
Operation of unreliable systems
Design and analysis of waste management surveys
Waste water sampling design and analysis

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