436-445 Optimisation for Productive Systems 1

Credit Points

HECS Band

Coordinator

Prerequisites

Students are expected to be familiar with the material of 200-level Mathematics.

Semester

Contact

Subject Description

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.

Topics covered include: 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

One examination not exceeding three hours, assignments to a maximum of 5000 words or equivalent. Students will be notified of the weighting of assessment components at the beginning of semester.