07.09.2014 Views

Please note - Swinburne University of Technology

Please note - Swinburne University of Technology

Please note - Swinburne University of Technology

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.

Polymeric materials - blow moulding - parison production<br />

including parison programming. Closing, blowing and<br />

ejection. Cooling systems including economic analysis <strong>of</strong><br />

specialised cooling. Stretch blowing moulding - effects on<br />

the materials and products and production economics in<br />

particular. Injection moulding. lntroduction to moldflow.<br />

Rubber compounding and vulcanisation.<br />

Vibration and noise: revision <strong>of</strong> theoly <strong>of</strong> vibration for multidegree<br />

<strong>of</strong> freedom systems including viscous and hysteretic<br />

damping. Vibration isolation, transmission and measurement.<br />

Equivalent systems. Chatter and stability. Sound transmission,<br />

power, intensity sound absorption. Insulation, resonance,<br />

noise rating. Noise control and measurement.<br />

Textbooks<br />

Crawford, R.J. Plastics Engineering. 2nd ed, Oxford: Pergamon Press,<br />

1987<br />

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

1979<br />

MM480 Facilities Planning and Design<br />

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

A fourth year subject in the degree <strong>of</strong> Bachelor <strong>of</strong><br />

Engineering (Manufacturing).<br />

Subject aims and description<br />

This subject aims to introduce methods <strong>of</strong> analysis and<br />

planning <strong>of</strong> facilities layout considering products, processes,<br />

effective material handling facilities, etc. Relevant quantitative<br />

techniques such as queueing theory, location models, will be<br />

introduced where they are needed for design <strong>of</strong> facilities.<br />

Significance and objectives and strategies in facilities design.<br />

Product development: market research, forecasting, design.<br />

Process developmentlplanning. Capacity planning: schedules,<br />

machines, manpower tools. Material handling requirements;<br />

principles, selection, design. Storage and warehousing.<br />

Spacing and activity relationship. layout design, conventional<br />

and computer aided approaches. Analytical models used:<br />

queueing, location models. Facility design for JTT; WCM.<br />

Textbook<br />

Tompkins, J. Facilities Planning. NEW York: Wiley, 1984<br />

References<br />

Peterson, E.R. Pmps Probabilistic Optimisation Spreadsheets. Kingston:<br />

Alwington Press. 1988<br />

Sule, D.R. Manufacturing Facil~ties. Boston, Mass.: PWS-Kent. 1988<br />

White, J.A. Facilities Layout and Location. 2nd ed, Engl~hlood Cliffs,<br />

N.J.: Prentice Hall, 1992<br />

Relevant articles and papers from journals.<br />

MM481 Decision Analysis<br />

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

Assessment: project, assignment and examination<br />

A fourth year subject in the degree <strong>of</strong> Bachelor <strong>of</strong><br />

Engineering (Manufacturing).<br />

Subject aims and description<br />

The aim <strong>of</strong> this subject is to introduce the decision making<br />

methodology and techniques available. To emphasise the<br />

need for formal approaches and the gain <strong>of</strong> structured,<br />

formal decisions. To examine several areas in manufacturing<br />

environments where crucial decisions benefit from the use <strong>of</strong><br />

these methods.<br />

lntroduction to the DM methodology is followed by details<br />

<strong>of</strong> techniques. Single criteria decisions: cost consideration in<br />

decisions (cash flow). Effect <strong>of</strong> uncertainty, meaning <strong>of</strong><br />

probability, encoding probability distributions. Tree structure<br />

<strong>of</strong> problems (a computer package will be used).<br />

Decisionloutcomes under uncertainty. Risk attitudes, utility<br />

functions. Approaching real world problems, a cyclical<br />

approach, strategy tables, influence diagrams. Sensitivity<br />

analysis. Obtaining information from tree analysis. Value <strong>of</strong><br />

information control. Presentation <strong>of</strong> decision results. Multi<br />

criteria decisions: traditional approaches such as Delphic<br />

technique reviewed. The analytical hierarchy process,<br />

methodology, modelling. Structuring the problem,<br />

judgements. Group decisions with AHP. other methods.<br />

Sensivitity analysis and presentation <strong>of</strong> results. Use <strong>of</strong> a<br />

computer package to experiment with AHP<br />

References<br />

Holtzman, 5. Intelligent Decision Systems. Reading, Mass.: Addison<br />

Wesley, 1989<br />

McNamee, F! Decision Analysis for the Pr<strong>of</strong>essionals with Supertree.<br />

Redwood City, Calif.: Scientific Press, 1987<br />

Petersen. E.R. PROPS: Probabilistic Optimimtion Spreadsheets.<br />

Computer File. Kingston, Ont.: Alwington Press, 1988<br />

Additional references will be given in class<br />

MM482 Manufacturing Operations Management<br />

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

Assessment: assignments, project and exam<br />

A fourth year subject in the degree <strong>of</strong> Bachelor <strong>of</strong><br />

Engineering (Manufacturing).<br />

Subject aims and description<br />

The aim is to achieve a thorough understanding <strong>of</strong> all<br />

functions and their relationships in a manufacturing system,<br />

how it is planned, operated and controlled.<br />

Structure <strong>of</strong> a manufacturing system via models such as<br />

SADT, ICAM, IDEF functions and management <strong>of</strong> an<br />

enterprise (productionlservice); manufacturing function;<br />

development function-production function; support function;<br />

data processing; technoloy and manufacturing FMS,<br />

CADICAM); scheduling techniques at shop floor level;<br />

inventory control policies and models; MRP. MRPII,<br />

methodology; introduction to a computer implemented<br />

MRPII, hands on experience; requirements for successful<br />

MRP implementations.<br />

References<br />

Callerman, T.E. and Heyl, J.E. A Model for Material Requirements<br />

Planning. IN: International Journal <strong>of</strong> Operations and Production<br />

Management, Vol. 6 No. 5, 1986<br />

Harrington, J. Jnr. Understanding the Manufacturing Process - Key<br />

to Successful CAD/CAM Implementation. New York: M. Dekker, 1984<br />

Wight, 0. Manufacturing Resource Planning, MRP 1: Unlocking<br />

America's Pmductiviiy btential. rev. ed, Essex Junction: Oliver Wight,<br />

1984<br />

Wight, 0. The Executive's Guide to Successful MRP I1 2nd ed, Essex<br />

Junction, Williston: 0. Wight Publications Ltd., 1983<br />

MM483 Engineering Management<br />

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

Subject aims and description<br />

This subject provides both an introduction to fundamental <strong>of</strong><br />

financial and commercial engineering management and<br />

consideration <strong>of</strong> organisational environment effects on<br />

engineering outcomes. Such studies are to be reinforced by<br />

students being required to report on management and<br />

organisational aspects related to their work experience.<br />

Topics covered include: commercial management; financial<br />

management; people management; project management.<br />

Textbook<br />

Meredith, J.R. and Mantel, S.J. Project Management, A Managerial<br />

Approach. 2nd ed, New York: Wiley, 1989<br />

Plus supporting references

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

Saved successfully!

Ooh no, something went wrong!