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Please note - Swinburne University of Technology

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~ ~ 6 2 Manufacturing 7<br />

Management<br />

Systems<br />

No. <strong>of</strong> hours per week: two hours<br />

Assessment: assignment/examination<br />

Subject aims and description<br />

This subject aims to provide an understanding <strong>of</strong> the<br />

manufacturing management systems.<br />

An overview <strong>of</strong> manufacturing management functions,<br />

organisation, data flow, control etc.<br />

Traditional approaches are followed by an overview <strong>of</strong> the<br />

current world market characteristics leading to needs for<br />

flexibility in all aspects. Role <strong>of</strong> technology and approaches<br />

such as MRPll philosophy, just in time, OPT are discussed in<br />

detail.<br />

References<br />

Browne, J., Harhen, J. and Shivnan, J. Production Management<br />

Systems. Wokingham, Addison-Wesley, 1988<br />

Gilmour, P. and Hunt, R.A. The Management <strong>of</strong> <strong>Technology</strong>.<br />

Melbourne, Longman Cheshire, 1993<br />

Goldratt, E. The Goal, A Process <strong>of</strong> Ongoing Improvment. 2nd edn,<br />

Aldershot. Gower, 1993<br />

Hirano, H. (ed), JlTFactory Revolution. Cambridge, Mass., Productivity<br />

Press, 1988<br />

Schonberqer, R.J. BuildingA Chain <strong>of</strong> Customers. New York, Free Press,<br />

0 1990<br />

5. Wu, B. Manfuacturing Systems Design and Analysis. London, Chapman<br />

5. and Hall, 1992<br />

-<br />

S<br />

~ ~ 6 2 Control 8 Systems and Devices<br />

No. <strong>of</strong> hours per week: two hours<br />

Assessment: laboratory/examination<br />

3.<br />

G. Subject aims and description<br />

This subject aims to consolidate the students' prior learning<br />

2, and experience in the application <strong>of</strong> classical closed loop<br />

control systems; to provide an understanding <strong>of</strong> those factors<br />

determining stability and dynamic performance; to provide an<br />

a appreciation <strong>of</strong> modern adaptive control theory and<br />

application.<br />

E.<br />

5<br />

lntroduction to closed loop control and applications in<br />

intearated manufacturina. Classical treatment <strong>of</strong> feedback<br />

conGol is extended to inGude the analysis <strong>of</strong> non-linear<br />

systems.<br />

Applications include chatter and instability in machine tools<br />

and manufacturing processes.<br />

Masters by coursework students are required to complete a<br />

research assignment in the area <strong>of</strong> modern control <strong>of</strong><br />

multivariable processes.<br />

References<br />

Dransfield. I? Systems and Control, Parts 1 and 2. Clayton, Vic..<br />

Monash <strong>University</strong>, 1994<br />

Ogata, K. Modern Control Engineering. 2nd edn. Englewood Cliffs,<br />

N.J., Prentice Hall, 1990<br />

Palm, W.J. ControlSystems Engineering. New York, Wiley, 1986<br />

~ ~ 6 2Computers 9 and Interfacing<br />

No. <strong>of</strong> hours per week: two hours<br />

Assessment: projectlseminar work and<br />

examination<br />

Subject aims and description<br />

This subject aims to provide a sound understanding <strong>of</strong><br />

computer interfacing through data communications techniques<br />

as they apply to manufacturing.<br />

Data conversion from internal to external representation.<br />

Parallel and serial external communications techniques.<br />

Distance limitations, noise induction. RS-232 and RS-449<br />

circuits and problems. Network topologies and protocols.<br />

Students are required to provide a major seminar in<br />

conjunction with project work.<br />

References<br />

Campbell, 1. The RS232 Solution. 2nd edn, Berkeley: Calif., Sybex<br />

Books, 1989<br />

Halsall, F. Data Communications, Computer Networksand Open<br />

Systems. 3rd edn, Wokingham, England, Addison-Wesley, 1992<br />

Toncich, D.J. Data Communications and Networking for<br />

Manufacturing Industries. Brighton, Vic., Chrystobel Engineering,<br />

1992<br />

MM630<br />

Mathematics and Computing<br />

NO. <strong>of</strong> hours per week: two hours<br />

Assessment: assignmentlexamination<br />

Subject aims and description<br />

This subject aims to develop an understanding <strong>of</strong> mathematical<br />

and statistical techniques for computer applications.<br />

Topics are selected from:<br />

Linear programming: simplex method, big M method, two<br />

phase method, duality, dual simplex method, sensitivity, revised<br />

simplex technique, bounded variables, parametic<br />

programming, decomposition, applications, use <strong>of</strong> computer<br />

packages such as SAVOR, industrial applications.<br />

Markov chains and queueing theory: stochastic processes,<br />

Markov chains, applications in decision making. Queueing<br />

theory, transient and steady state, general Markov model.<br />

Application <strong>of</strong> simulation in queueing systems, practical<br />

applications, use <strong>of</strong> a computer package.<br />

The analysis <strong>of</strong> variance: revision <strong>of</strong> inference for two<br />

independent groups, analysis <strong>of</strong> variance. Non-parametric<br />

methods. Planned and unplanned comparisons.<br />

Multiple linear regression: review <strong>of</strong> linear regression with one<br />

predictor.<br />

References<br />

Lapin, L.L. Probability and Statistics for Modern Engineering. 2nd edn,<br />

Boston, PWS-Kent, 1990<br />

Taha, H.A. Operations Research: An lntroduction. 5th edn, New York,<br />

Macmillan, 1992

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