436-447 Optimisation for Productive Systems 2

Credit Points

Coordinator

Prerequisites

619-001 Statistics for Engineers or equivalent and level 2 Mathematics

Semester

Contact

Subject Description

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 queuing, simulation and other stochastic techniques, using a range of software tools including a simulation language.

Topics covered include; queuing 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

One examination not exceeding three-hours, assignments to a maximum of 5000 words or equivalent