Line balancing using metaheuristic methods in BMW South Africa

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dc.contributor.authorHart, Richard
dc.date.accessioned2018-11-14T08:38:37Z
dc.date.available2018-11-14T08:38:37Z
dc.date.issued2017
dc.description.abstractThis study documents a project to investigate the possibility of achieving savings in BMW South Africa’s Rosslyn assembly plant through the use of metaheuristics to optimise line balancing methods. Through this project, a customised Ant Colony Optimisation algorithm was developed for the optimisation of the frontend assembly line in this plant. This algorithm is one which was designed to take into account many of the constraints which are found in an automotive manufacturing environment such as work areas, shared processes and sequence constraints. Through the use of the algorithm, a solution was developed which shows improvements to the line balancing in the area. These improvements show a 17% reduction in labour costs in the area, an improvement of 13.12% in the area’s average work loading and an increase in the average work stability of 17.81%. Additionally, improvements were found which would allow this algorithm to be used in other lines in the assembly plant for further savings and improvements.en_ZA
dc.description.librarianMT 2018en_ZA
dc.format.extentOnline resource (ix, 99 leaves)
dc.identifier.citationHart, Richard Brian (2017) Line balancing using meta heuristic methods at BMW South Africa, University of the Witwatersrand, Johannesburg, <http://hdl.handle.net/10539/26033>
dc.identifier.urihttps://hdl.handle.net/10539/26033
dc.language.isoenen_ZA
dc.subject.lcshMathematical optimization
dc.subject.lcshHeuristic programming
dc.subject.lcshCombinatorial optimization
dc.titleLine balancing using metaheuristic methods in BMW South Africaen_ZA
dc.typeThesisen_ZA
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