Please note - Swinburne University of Technology

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Productivity Press, 1990
Saaty, T.L. Decision Making: The AnaMical Hierarchy Process.
Pittsburgh: T.L. Saaty, 1988
Scnerkenbach, W. The Deming Route to Qualify and Productivity
Rockville, Md: Mercury Press, 1988
Wadsworth, H.M. Modern Methods for Qualify Control and
Improvement New York: Wiley, 1986
Winston, W.L. Operations Research: Applications and Algorithms. 2nd
ed, Boston: RNS Kent, 1991
Computer software
SASIQC, EC (AHP packages), PROPS.
SM707
Differential Equations
12.5 credit points
No, of hours per week: four houn (total 56
hours)
Prerequisites: nil
Instruction: classroom teaching
5 Assessment: assignments 3046, examination 70%
Y Subject aim
To develop an understanding of the theory of ordinary and
g partial differential equations, and a knowledge of analytical
and computational methods of solutions.
g Subject description
Analytical solutions of ordinary and partial differential
equations. Existence and uniqueness of the solution.
Computational solutions of ordinary and partial differential
equations.
References
Davies. A.J. The Finite Element Method. Oxford University Press, 1981
Fritz, J. Partial Differential Equations. New York: Springer Verlag, 1982
Press, W.H., Flannety, 8.P Teukolsky. S.A. and Vetterling, W.T.
Numerical Recipes in C. Cambridge: Cambridge University Press. 1988
Smith, G.D. Numerical Solutions of Partial Differential Equations. 3rd
ed, Oxford: Oxford University Press, 1985
Spiegel. M.R. Applied Differential Equations. New Jersey: Prentice
Hall. 1981
Weinberger. H.F. A First Course in Partial Differential Equations. New
York: Wiley, 1965
5~708 industry Based Learning
50.0 credit points
A six-month period of industry based learning occurring as
part of the fourth year of the course leading to the degree
of Bachelor of Applied Science. Students are supervised by a
member of. the academic staff and are required to submit a
report to their employer and to their supervisor.
Industrial Operations Management
10.0 credit points
No. of hours per week: four hours
Prerequisites: nil
Instruction: class teaching, laboratory sessions
Assessment: assignments 30%, examination 70%
Subject aims
SM709
To provide a study of topics in operations research related to
manufacture.
Subject description
A selection of topics from production, scheduling,
distribution, inventory control, transportation.
References
Gilmour, I? The Management of Distribution: An Australian
Framework. 2nd ed, Melbourne: Longman Cheshire, 1987
Journal of the Operational Research Society
Mercer, A,, Cantley, M. and Rand, G. Operational Dirtribution
Research. London: Taylor and Francis Ltd., 1978
Ravindran, A., Phillips, D.T. and Solberg, J.J. Operations Research,
Principles and Practice. 2nd ed, New York: Wiley, 1987
Winston, W.L. Operations Research Applications and Algorithms. 2nd
ed, Boston: RNS-Kent, 1991
Computer software
SASIO R .
SM710 Advanced Mathematical Programming
12.5 credit points
No. of hours per week: four hours (total 56
hours)
Prerequisites: nil
Instruction: class teaching, workshops and
computer laboratory sessions
Assessment: assignments 4096, examination 60%
Subject aim
To introduce students to both the theoretical and
computational aspects of mathematical programming.
Subject description
Topics selected from: basic convex analysis, minimization
conditions, descent methods, Quasi-Newton methods,
conjugate direction methods, Levenberg-Marquardt method,
constrained minimization, parametric programming and
sensitivity, integer programming, interior point and related
methods, geometric programming, quadratic programming,
separable problems in NLP, non smooth techniques, goal
programming.
References
Dennis, J.E. and Schnable, R.B. Numerical Methods for Unconstrained
Optimization and Nonlinear Equations. Engl~od Cliffs, N.J.: Prentice
Hall, 1983
Fletcher, R. Practical Methods of Optimization. 2nd ed. Chichester:
Wiley, 1987
Gill, I?, Murray, W. and Wright, M. Practical Optimizaation. London:
Academic Press, 1981
Computer software
SASIOR, MATLAB.
SM711 Research Project
12.5 credit points for the first semester
25.0 credit points for the second semester
No formal hours
Prerequisites: nil
Instruction: individual supervision
Assessment: students will submit written half
semester reports to the supervisor, a written
minor thesis (15,000 words) 70%, a verbal
examination 20%, a seminar presentation to staff
and students 10%
Based on the above a grade and score will be
awarded by the subject panel
Subject aim
To define, plan and carry out a research or industrial project.
Submit a minor thesis.
Subject description
Content will vary from student to student depending on the
particular project undertaken.
Reference
Moses, I. Supe~sing Fbstgraduates. Kensington, N.S.W.: HERDSA
Green Guide No. 3, 1985
sM732 Survey Research Methods
12.5 credit points
No. of houn per week: four hours
Prerequisites: SM750, SM751
A subject of the Graduate Certificate and Diploma of
Applied Science (Social Statistics).