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Handbook 1997 : Faculty of Engineering : Mechanical and Manufacturing Engineering

436-447 Optimisation for Productive Systems 2

Credit Points:

7.1

Coordinator:

Dr A. Wirth

Prerequisite/s:

619-001 Statistics for Engineers or equivalent and level 2 mathematics.

Timetable:

Semester 2

Contact:

19 lectures and 20 hours of tutorial/practice classes

Objectives:

Upon completion students should be able to model and solve a wide range of probabilistic decision making problems for productive systems such as service facility configuration, inventory reorder points, lot-sizing, equipment replacement and production planning by applying queueing, simulation and other stochastic techniques, using a range of software tools including a simulation language.

Content:

Queueing models for service facilities, simulation of productive systems. Inventory management and material requirements planning. Equipment replacement and Markov processes. Production planning under risk. Demand forecasting.

Assessment:

A 2 hour examination paper, assignments to a maximum of 5000 words or equivalent.
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Handbook 1997 : Faculty of Engineering : Mechanical and Manufacturing Engineering 
Status:                   OFFICIAL 1997
Last Modified:            Wednesday March 12 3:36 pm
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Email Enquiries:          Course_Information@registrar.unimelb.edu.au
Copyright © University of Melbourne 1997.