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dc.contributor.advisor | Brett, Eric | |
dc.contributor.author | Diedericks, Daniel![]() |
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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 | 2013-02-15T10:12:59Z | |
dc.date.available | 2013-02-15T10:12:59Z | |
dc.date.created | 2012-10 | |
dc.description | Thesis (B Eng. (Industrial and Systems Engineering))--University of Pretoria, 2012. | en_US |
dc.description.abstract | Work sampling is an effective and economically viable way to analyze the productivity of operators and machines alike. The design of a work sampling project is often tedious and repetitive. The University of Pretoria is frequently involved in productivity investigations that make use of Work sampling studies and methods of streamlining the process have become necessary. A fully functional database capable of generating work sampling sheets; generating randomised timeslots; assimilating data and providing relevant statistical information; have been created. The work sampling sheets that can be generated is customisable for any given work sampling study that is conducted, and have been designed with user-friendliness as an important end goal. | en_US |
dc.format.extent | 43 pages | en_US |
dc.format.medium | en_US | |
dc.identifier.uri | http://hdl.handle.net/2263/21030 | |
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 | Database analysis | en_US |
dc.subject | Work sampling | en_US |
dc.title | A systems engineering approach to database development for the recording and analysis of work sampling studies | en_US |
dc.type | Text | en_US |