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| dc.contributor.advisor | Nienaber, Millar | |
| dc.contributor.author | Mills, Donovan
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| 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 | 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 |
