dc.contributor.advisor |
Nienaber, Millar |
|
dc.contributor.author |
Mills, Donovan
|
|
dc.contributor.other |
University of Pretoria. Faculty of Engineering, Built Environment and Information Technology. Dept. of Industrial and Systems Engineering |
|
dc.date.accessioned |
2012-01-31T11:32:01Z |
|
dc.date.available |
2012-01-31T11:32:01Z |
|
dc.date.issued |
2011 |
|
dc.description |
Thesis (B Eng. (Industrial and Systems Engineering))--University of Pretoria, 2011. |
en_US |
dc.description.abstract |
Statistical analysis’s conducted to view the relevance of behavioural changes within a plant and to determine the cause and effect, along with the root causes of uncontrolled behavioural changes within a system and its subsystems. With this analysis statistical trends are to be developed to prevent events and minimising downtime |
en_US |
dc.format.extent |
90 pages |
en_US |
dc.format.medium |
PDF |
en_US |
dc.identifier.uri |
http://hdl.handle.net/2263/17980 |
|
dc.language |
en |
|
dc.language.iso |
en |
en_US |
dc.publisher |
University of Pretoria. Faculty of Engineering, Built Environment and Information Technology. Dept. of Industrial and Systems Engineering |
|
dc.rights |
Copyright: University of Pretoria |
en_US |
dc.subject |
Mini-dissertations (Industrial and Systems Engineering) |
en_US |
dc.subject |
Quality control |
en_US |
dc.subject |
Process analysis |
en_US |
dc.subject |
Statistical analysis |
en_US |
dc.title |
Prevention of downtime using Statistical Control Processes at ABI Devland |
en_US |
dc.type |
Text |
en_US |