Productive systems modelling
Not offered in 1997
6 points * 23 lecture hours, 26 seminar/tutorial/laboratory hours * First or second semester * Caulfield
Objectives Students will develop an understanding of computer-aided simulation as a method of improving the modelling of productive systems.
Synopsis The syllabus will include an introduction to modelling comparing deterministic to probabilistic models and considering randomness in systems. Method of defining system boundaries, data collection, data simplification, reduction and aggregation will be considered. Form design will also be discussed. System input, statistical distributions and process modelling: process definition, simplification and process statistical distributions. Modelling of storage and capacity planning, access modes (FIFO, LIFO, etc), labour modelling including shift patterns, materials and information flow in productive systems. Model verification and validation and design of experiments using computer tools.
Assessment Test: 25% * Assignments: 50% * Final group presentation: 25%
Recommended texts
Davies R and O'Keefe R Simulation modelling with Pascal Prentice-Hall, 1989
Pegdon C D Introduction to simulation using Siman McGraw-Hill, 1990
Journal of Simulation
Industrial Engineering Journal
| Published by Monash University, Clayton, Victoria
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