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Handbook 1997 : Faculty of Engineering : Mechanical and Manufacturing Engineering

436-445 Optimisation for Productive Systems 1

Credit Points:

7.1

Coordinator:

Dr A. Wirth

Prerequisite/s:

200-level Mathematics.

Timetable:

Semester 1

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 deterministic decision making problems for productive systems such as product mix, facility location and layout, assembly line balancing, scheduling, transportation and storage and retrieval by applying the techniques of mathematical programming, network analysis and heuristic problem solving, using a range of optimisation software tools.

Content:

Linear programming applied to production problems, integer programming models for assembly line balancing and scheduling, goal programming and facility location, facility layouts using quadratic programming. Dynamic programming and multistage processing operations. Heuristic solutions to machine sequencing and storage and retrieval problems.

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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Authorised by:            Academic Registrar
Email Enquiries:          Course_Information@registrar.unimelb.edu.au
Copyright © University of Melbourne 1997.