07.09.2014 Views

1996 Swinburne Higher Education Handbook

1996 Swinburne Higher Education Handbook

1996 Swinburne Higher Education Handbook

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

MM570 Manufacturing Technology<br />

6 credit points fi hours per week Hawthorn<br />

Assessment: assignments and tests<br />

A fifth year subject in the Bachelor of Engineering<br />

(Manufacturing- Production Stream)<br />

0 b jectives<br />

To complete the work commenced in MM472. In the<br />

plasticity section emphasis is placed on the analysis of hot<br />

working techniques and on load bounding methods.<br />

Content<br />

The automation section emphasises the techniques applied<br />

in automation and the use of industrial robots and the<br />

plastics and rubbers section completes the development of<br />

ihese techniques.<br />

The syllabus revises essential materials engineering and also<br />

includes melting and solidification, deformation, slip,<br />

9<br />

r<br />

lattices. Homologous temperature scale. Textures and<br />

anisotropy 'r' value 'n' value. Effect of grain size. Hall<br />

3<br />

Petch. Strain hardening. Strain ageing. Ductility, yield point<br />

$ elongation. Cold/warm/hot working. Super-plasticity, 'n',<br />

Y.<br />

f 'm', and 'c' values. Restoration, recovery. Spherodising.<br />

Eutectic and peritectic materials.<br />

Recommended reading -<br />

Crawford, R.J., Plastics Engineering. 2nd edn, Oxford, Pergamon<br />

Press, 1987<br />

Kalpakjian, S., Manufacturing Processes for Enginem'ng Materials.<br />

2nd edn, Reading, Mass., Addison-Wesley, 1991<br />

Roe, G., Elements of Metalworking Theory. London, Edward<br />

Arnold, 1979<br />

MM580 Management Practices<br />

li credit points 3 hours per week Hawthorn<br />

Assessment: examination, assignment and class participation<br />

A fifth year subject in the Bachelor of Engineering<br />

(Mechanical)<br />

Objectives<br />

To address the key issues for managing productive and<br />

innovative engineering environments and to provide further<br />

elective study in management practice areas of prime student<br />

interest.<br />

Content<br />

This subject includes managerial concepts and practices that<br />

engender a cooperative working environment required for<br />

'World Class' productive and innovative engineering. It<br />

consists of a compulsory core in which the key elements for<br />

managing productive and innovative (typically that<br />

associated with research and development) environments are<br />

studied. Students then select an elective from one of the<br />

following<br />

Engineering leadership: project management; research and<br />

development management; risk management; occupational<br />

health and safety management; maintenance management;<br />

informatics management; production management.<br />

Elements of a productive environment: the working<br />

environment; factors contributing to work performance,<br />

structures of control, alternative social relations of<br />

production, managerial goals and organisational structure;<br />

impact of technology on work, social environment,<br />

occupational health and safety. The engineering<br />

environment; optimisation of a system of technology and<br />

people for maximising the desired engineering outcomes;<br />

new applications of technology, socio-technical systems<br />

analysis for specification, selection and implementation of<br />

total technical and working environment requirements.<br />

Job design to sustain cooperative and productive engineering<br />

environment: Perspectives of the labour Process and factors<br />

contributing ti th; design of jobs, needsand policies in the<br />

recruitment and selection of achievers, socio-technical<br />

analysis and design of optimum engineering system and<br />

people combinations.<br />

Elements of an innovative environment: relationship<br />

between work design and engineering innovation (e.g.<br />

flexible specialisation). Managing change; understanding the<br />

psychology of change, specifying, designing, planning,<br />

negotiating and implementing change. Managing innovation;<br />

social dimensions of creativity, invention and technology;<br />

technological diffusion and economic analysis of innovation.<br />

Recommended reading<br />

MacLeod R. (ed.), Technology and the Human Prospect Essays in<br />

Honour of Christopher Freeman. London, Frances Pinter, 1986<br />

Rothwell, R. and Zegveld, W., Innovation and the Small and the<br />

Medium Sized Firm %eir Role in Employment and in Economic<br />

Change. London, Frances Pinter, 1982<br />

Sarfati, H. and Kobrin, C. (ed.), Labour Market Flexibility A<br />

Comparative Anthology. Aldershot, Gower, 1988<br />

Windolf, P. and Wood, W., Recruitment and Selection in the<br />

Labour Market A Comparative Study of Britain and West Germany.<br />

Aldershot, Avebury, 1988<br />

MM581 Manufacturing Systems Modelling<br />

4 credit points 2 hours per week Hawthorn<br />

Assessment: assignment, projects and exam<br />

A fifth year subject in the Bachelor of Engineering<br />

(Manufacturing)<br />

Objectives<br />

To introduce modelling concepts, techniques and solutions<br />

applied to manufacturing systems as tools in identification,<br />

structuring and analysis of problems leading to real decision<br />

making.<br />

Content<br />

The syllabus covers modelling concept, classifications;<br />

optimisation models appllied to resource allocation,<br />

networks, capacity planning, maintenance, assembly lines;<br />

introduction to a commercial LP/NLP package and its<br />

application to some cases; stochastic models, applications in<br />

reliability, maintenance; markovian analysis; simulation<br />

modelling: concept, benefits, applications, languages,<br />

packages; introduction to and applications of a commercial<br />

simulation package (simfactory); statistical analysis,<br />

reliability modelling.<br />

Recommended reading<br />

Neelamkavil, F., Computer Simulation &Modelling. Chichester,<br />

Wiley, 1987<br />

Peterson, E.R., PROPS Probabilistic Optimisation Spreadsheets.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!