Developing electoral logistics/ supply chain benchmarking and Improvement framework for Sub-Saharan Africa

dc.contributor.advisorAdetunji, Olufemi
dc.contributor.authorAphane, Bonolo Manai
dc.date.accessioned2013-04-29T09:23:33Z
dc.date.available2013-04-29T09:23:33Z
dc.date.created2012
dc.date.issued2013-04-29
dc.descriptionThesis (B Eng. (Industrial and Systems Engineering))--University of Pretoria, 2012.en_US
dc.description.abstractThe objective of this dissertation is the designing of a performance measurement and continuous improvement framework for electoral logistics in Sub-Saharan Africa. A reference model, named ECOR (Electoral Chain Operations Reference) model has been developed in order to achieve this objective. Extensive research on existing process modelling and other Industrial Engineering techniques that could be used to develop this model was undertaken. The IEC was the main source of the information collected that was required to develop ECOR, and it also assisted in the validation of the ECOR model. The two main tools that were used to develop ECOR are SCOR® and KBSI. The project consists of the problem identification, problem analysis, research, model development, validation of model as well as recommendations and conclusion about the ECOR model.en_US
dc.format.extent140 pagesen_US
dc.format.mediumPDFen_US
dc.identifier.urihttp://hdl.handle.net/2263/21407
dc.languageen
dc.language.isoenen_US
dc.publisherUniversity of Pretoria. Faculty of Engineering, Built Environment and Information Technology. Dept. of Industrial and Systems Engineering
dc.rightsCopyright: University of Pretoriaen_US
dc.subjectMini-dissertations (Industrial and Systems Engineering)en_US
dc.subjectElectoral logisticsen_US
dc.subjectSupply chain managementen_US
dc.subjectSub-Saharan Africaen_US
dc.titleDeveloping electoral logistics/ supply chain benchmarking and Improvement framework for Sub-Saharan Africaen_US
dc.typeTexten_US

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