Please note - Swinburne University of Technology

~ ~ 4 8 Facilities 0 Planning and Design
No. of hours per week: three hours
Subject aims and description
This subject aims to introduce methods of analysis and
planning of facilities layout considering products, processes,
effectwe material handling facilities, etc. Relevant quantitative
techniques such as queueing theory, location models, will be
introduced where they are needed for design of facilities.
Significance and objectives and strategies in facilities design.
Product development: market research, forecasting, design.
Process developmenvplanning. Capacity planning: schedules,
machines, manpower tools. Material handling requirements;
principles, selection, design. Storage and warehousing. Spacing
and activity relationship. Layout design, conventional and
computer aided approaches. Analytical models used: queueing,
location models. Facility design for JIT; WCM.
Textbook
Tompkins, J. and White, J.A. Facilities Planning. New York, Wiley, 1984
References
Peterson, E.R. PROPS: Probabilistic Optimization Spreadsheets.
Kingston, Alwington Press, 1988
Sule, D.R. Manufacturing Facilities. 2nd edn, Boston, Mass., PWS Pub.
Co., 1994
Francis, R.L. and McGinnis, L.F. and White, J.A. Facility Layout and
Location. 2nd edn, Englewood Cliffs, N.J., Prentice Hall, 1992
Relevant articles and papers from journals.
~ ~ 4 8Decision 1 Analysis
No. of hours per week: two hours
Assessment: project, assignment and examination
Subject aims and description
The aim of this subject is to introduce the decision making
methodology and techniques available. To emphasise the need
for formal approaches and the gain of structured, formal
decisions. To examine several areas in manufacturing
environments where crucial decisions benefit from the use of
these methods.
Introduction to the DM methodology is followed by details of
techniaues. Sinqle criteria decisions: cost consideration in
decisions (cash ?low). Effect of uncertainty, meaning of
~robabilitv. encodina orobabilitv distributions. Tree structure of
broblerns ?a compute; package'will be used). Decision/
outcomes under uncertainty. Risk attitudes, utility functions.
Approaching real world problems, a cyclical approach, strategy
tables, influence diagrams. Sensitivity analysis. Obtaining
information from tree analysis. Value of information control.
Presentation of decision results. Multi criteria decisions:
traditional approaches such as Delphic technique reviewed.
The analytical hierarchy process, methodology, modelling.
Structuring the problem, judgements. Group decisions with
AHP, other methods. Sensivitity analysis and presentation of
results. Use of a computer package to experiment with AHP.
Text
Shayan, E. Notes on Decision Analysis.
References
Holtzman, S. Intelligent Decision Systems. Reading, Mass., Addison-
Wesley, 1989
McNamee, P. and Celona, J. Decision Analysis for the Professionals with
Supertree. Redwood City, Calif., Scientific Press, 1987
Petersen, E.R. PROPS: Probabilistic Optimization Spreadsheets.
Kingston, Ont., Alw~ngton Press, 1988
Addlt~onal references will be given in class
~ ~ 4 8 Manufacturing 2
Operations
Management
No. of hours per week: two hours
Assessment: assignments, project and exam
Subject aims and description
The aim is to achieve a thorough understanding of all functions
and their relationships in a manufacturing system, how it is
planned, operated and controlled.
Structure of a manufacturing system via models such as SADT,
ICAM, IDEF functions and manaqement of an enterprise
(production/service); manufactuing function; development
function-~roduction function: su~oort function; data
technoloy and man"fecturing FMS; CAD/CAM);
scheduling techniques at shop floor level; inventory control
policies and models; MRP, MRPII, methodology; introduction
to a computer implemented MRPII, hands on experience;
requirements for successful MRP implementations. Forecasting
techniques including exponential smoothing, seasonal
forecasting regression, Box Jenkins methodology.
Text
Schonberger, R. Operations Management: Improving Customer
Service. 4th edn, Homewood, Ill., Irwin, 1991
References
Callerman, T.E. and Heyl, J.E. A Model for Material Requirements
Planning. IN: International Journal of Operations and Production
Management, Vol. 6 No. 5,1986
Harrington, J. Understanding the Manufacturing Process - Key to
Successful CADICAM Implementation. New York, M. Dekker, 1984
Wight, 0. Manufacturing Resource Planning, MRP 1: Unlocking
America's Productivity Potential. Rev. ed, Essex Junction, Oliver Wight,
1984
Wight, 0. The Executive's Guide to Successful MRPII. 2nd edn, Essex
Junction, Williston, 0. Wight Publications Ltd., 1983
~ ~ 4 8Engineering 3 Management
No. of hours per week: four hours
Subject aims and description
This subject provides both an introduction to fundamental of
financial and commercial engineering management and
consideration of organisational environment effects on
engineering outcomes. Such studies are to be reinforced by
students being required to report on management and
organisational aspects related to their work experience.
Topics covered include: commercial management; financial
management; people management; project management.
Textbook
Meredith, J.R. and Mantel, S.J. Project Management, A Managerial
Approach. 2nd edn, New York, Wiley, 1989
Plus supporting references
MM~OO Manufacturing Project
No. of hours per week: six hours for one semester
plus three weeks full-time
Assessment: thesis and observed technique
Subject aims and description
The aim of this subject is to develoo the students' skills in
planning and exec;ting a major individual project which draws
upon and integrates the wide range of skills and knowledge
acquired during the course. It is a major component of the final
year.