Please note - Swinburne University of Technology

~ ~ 7 0 9 Industrial Operations Management
10 credit points
No. of hours per week: four hours
Instruction: class teaching, laboratory sessions
Assessment: assignments 30%, examination 70%
Subject aims
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, P. The Management of Distribution: An Australian
Framework. 2nd edn, Melbourne, Longman Cheshire, 1987
Journal of the Operational Research Society
Mercer, A,, Cantley, M. and Rand, G. Operational Distribution
Research. London, Taylor and Francis Ltd., 1978
Ravindran, A., Phillips, D.T. and Solberg, J.J. Operations Research,
Principles and Practice. 2nd edn, New York, Wiley, 1987
Winston, W.L. Operations Research: Applications and Algorithms. 3rd
edn. Belmont, Calif., Wadsworth, 1994
Computer software
SASJOR.
SM~I o
Advanced Mathematical
Programming
12.5 credit points
No. of hours per week: four hours (total 56 hours)
Instruction: class teaching, workshops and
computer laboratory sesions
Assessment: assignments 40%, 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 EQU~~~O~S.
Englewood Cliffs, N.J., Prentice
Hall, 1983
Fletcher, R. Practical Methods of Optimization. 2nd edn, Chichester,
Wiley, 1987
Gill, P., Murray, W. and Wright, M. Practical Optimization. London,
Academic Press, 1981
Computer software
SASJOR, MATLAB.
SM~I I Research Project
12.5 credit points for the first semester
25.0 credit points for the second semester
No formal hours
Instruction: individual supervision
Assessment: students will submit written half
semester reports to the supervisor, a written minor
thesis (1 5,000 words) 70°/d, a verbal examination
20%. a seminar mesentation to staff and students
10%
Based on the above a grade dnd score will be
awarded by the subject panel
Subject aim
To define, plan and carry ou+ 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. Supervising Postgraduates. Kensington, N.S.W., HERDSA
~ ~ 7 3 2 Survey Research Methods
12.5 credit points
No. of hours per week: four hours
Prerequisites: SM750, SM751
Subject description
This subject aims to enable students to identify and understand
some of the methodologies used in survey research. It includes
an overview of the procedures used in survey research, a
descriptive approach to methods of sampling and data
collection methods including questionnaire design and
interview techniques (personal and telephone) mail surveys
and census methods. Basic techniques to analyse survey data
such as construction of indices and scales. Other topics may
include data processing including entering, coding, quality
control and analysis of multiple response questions.
Textbooks and References
To be advised.
~ ~ 7 3 3 Demographic Techniques
12.5 credit points
No. of hours per week: four hours
Prerequisite: SM742
Subject alms and description
This subject aims to give an understanding of the basic
methods of demographic analysis and to develop an
awareness of the social implications of demographic data. It
will include topics chosen from the following: sources of
demographic data. Elementary rates and ratios, examples from
mortality, fertility, marriage and migration. Census data and
use of CD ROM technology such as CDATA91. The Life table
and use in predictions such as population projections. Models
for regional demographic analysis.
Textbooks and References
To be advised.