Area: |
Department of Mathematics and Statistics |
Credits: |
25.0 |
Contact Hours: |
4.0 |
** The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline. ** | |
Lecture: |
1 x 3 Hours Weekly |
Practical: |
1 x 1 Hours Weekly |
Prerequisite(s): |
7150 (v.7) Statistical Methods 102 or any previous version AND 8140 (v.6) Operations Research 201 or any previous version |
Syllabus: |
Dynamic programming. Applications to replacement models and resource allocation. Production scheduling - interface with inventory theory and solution techniques. Applications to quality control, machine shops, organisation of data files and assembly linebalancing. Inventory. Models with resource restrictions. |
** To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement. ** | |
Field of Education: | 010101 Mathematics |
Funding Cluster: | 04 - Mathematics, Statistics |
SOLT (Online) Definitions*: | Not Online *Extent to which this unit or thesis utilises online information |
Result Type: | Grade/Mark |
Availability |
|
Availability Information has not been provided by the respective School or Area. Prospective students should contact the School or Area listed above for further information. |