Please note - Swinburne University of Technology
Please note - Swinburne University of Technology
Please note - Swinburne University of Technology
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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