Optimisation of key performance indicators along a value chain

dataset.nrf.grant
dc.contributor.authorFerreira, Daniel Jorge
dc.date.accessioned2019-05-14T12:09:21Z
dc.date.available2019-05-14T12:09:21Z
dc.date.issued2018
dc.descriptionA dissertation submitted to the Faculty of Engineering and the Built Environment, University of the Witwatersrand, in fulfilment of the requirements for the degree of Masters in Engineeringen_ZA
dc.description.abstractThe purpose of this research is to determine a single measure of performance for a supply chain model. Furthermore, the supply chain was modelled using simulation techniques. The supply chain model chosen is the coal corridor in South Africa. Various frameworks were evaluated and the performance of the supply chain model was done using an adapted model originally suggested by Aronovich et. al 2010. The results from the adapted framework show that the Transnet supply chain model performed at 45% for the 2014 year. Improvement scenarios were then formulated based on the worst performing phases in the supply chain: rail transportation and shipping distribution. The rail element of the supply chain model was simulated using the Anylogic simulation package. Discrete event simulation methods were used. It was found that if Transnet Freight Rail upgraded the single track at Overvaal, utilised 100 wagon trains instead of 200 wagon trains and eliminated Ermelo as a hub they could increase their throughput by 20%. Furthermore, recommendations were made suggesting that the framework should be further adapted to include the need for multiple suppliers and the simulation model should incorporate the transport of coal via trucks.en_ZA
dc.description.librarianTL2019en_ZA
dc.format.extent
dc.format.extent
dc.format.extentOnline resource (xii, 148 leaves) :$billustrations, map
dc.format.extent
dc.identifier.citationFerreira, Daniel Jorge (2018) Optimisation of key performance indicators along a value chain, University of the Witwatersrand, Johannesburg, https://hdl.handle.net/10539/26921
dc.identifier.citation
dc.identifier.urihttps://hdl.handle.net/10539/26921
dc.language.isoenen_ZA
dc.subject.lcshIndustrial procurement
dc.subject.lcshBusiness logistics
dc.titleOptimisation of key performance indicators along a value chainen_ZA
dc.typeThesisen_ZA

Files

Original bundle

Now showing 1 - 3 of 3
No Thumbnail Available
Name:
MSC8000 - Corrections List - Daniel Jorge Ferreira - 326684.pdf
Size:
244.39 KB
Format:
Adobe Portable Document Format
Description:
Corrections
No Thumbnail Available
Name:
MSC8000 - Daniel Jorge Ferreira - 326684 - Dissertation.pdf
Size:
2.16 MB
Format:
Adobe Portable Document Format
Description:
Main Work
No Thumbnail Available
Name:
MSC8000 - Daniel Jorge Ferreira - 326684 -Abstract.pdf
Size:
4.49 KB
Format:
Adobe Portable Document Format
Description:
Abstract

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections