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Developing robust distribution networks for future urban planning scenarios
Mini Dissertation (B Eng. (Industrial and Systems Engineering))--University of Pretoria, 2018.
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| Format: | Thesis |
| Language: | English English |
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University of Pretoria. Faculty of Engineering, Built Environment and Information Technology. Dept. of Industrial and Systems Engineering
2019
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| _version_ | 1867613584400318464 |
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| access_status_str | Open Access |
| author | Karsten, Carike |
| author_browse | Karsten, Carike |
| author_facet | Karsten, Carike |
| author_sort | Karsten, Carike |
| collection | Thesis |
| dc_rights_str_mv | © 2018 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Mini Dissertation (B Eng. (Industrial and Systems Engineering))--University of Pretoria, 2018. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/68354 |
| institution | University of Pretoria (South Africa) |
| language | English English |
| last_indexed | 2026-06-10T12:38:28.311Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | University of Pretoria. Faculty of Engineering, Built Environment and Information Technology. Dept. of Industrial and Systems Engineering |
| publisherStr | University of Pretoria. Faculty of Engineering, Built Environment and Information Technology. Dept. of Industrial and Systems Engineering |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/68354 Developing robust distribution networks for future urban planning scenarios Karsten, Carike Mini-dissertations (Industrial and Systems Engineering) Mini Dissertation (B Eng. (Industrial and Systems Engineering))--University of Pretoria, 2018. Supply chain planning of consumer goods distribution is a constant process with expanding cities and increasing consumer demand. This project is based in the municipality of Ekurhuleni, Gaut- eng, South Africa. The aim of the project is to develop a model that will use data of the predicted population distribution of Ekurhuleni in 2030 to develop a robust supply chain for consumer goods. Three possible development and population layout scenarios that the future of the municipal- ity could embody were investigated. A model was developed to locate a distribution centre (DC) and develop a distribution network, that will be compatible with all three of these scenarios. A literature review was conducted to determine the best practices in the elds of facility location modelling, distribution network development, robust networks and optimisation models. An al- gorithm was developed based on the best practices and the data of the UrbanSim model to solve the problem. The municipality was divided into 1058 zones and based on the algorithm the best zone to locate the DC is zone 538. This zone placement passes with a logical test, since the total cost is lower if the DC is located near the center of the municipality rather than on the outskirts of the municipality. Further veri cation and validation was done on the model. Sensitivity analysis on the model was done by changing certain parameters such as the number of trucks, the capacity of the trucks, and the operating cost per truck. The operating cost per truck has the most in uence on the robustness of the distribution network. A maximum total saving of R 63 279 could made by using this approach to place a DC and develop a distribution network for consumer goods. Thus if the impact on a small scale problem is already this signi cant, the impact on a full scale distribution operation could be tremendous. Future work should consider determining the demand per zone more accurately and in categories since it will impact the given solution. 2019-02-01T09:46:32Z 2019-02-01T09:46:32Z 2018 2018 Mini Dissertation http://hdl.handle.net/2263/68354 en en © 2018 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. PDF application/pdf University of Pretoria. Faculty of Engineering, Built Environment and Information Technology. Dept. of Industrial and Systems Engineering |
| spellingShingle | Mini-dissertations (Industrial and Systems Engineering) Karsten, Carike Developing robust distribution networks for future urban planning scenarios |
| title | Developing robust distribution networks for future urban planning scenarios |
| title_full | Developing robust distribution networks for future urban planning scenarios |
| title_fullStr | Developing robust distribution networks for future urban planning scenarios |
| title_full_unstemmed | Developing robust distribution networks for future urban planning scenarios |
| title_short | Developing robust distribution networks for future urban planning scenarios |
| title_sort | developing robust distribution networks for future urban planning scenarios |
| topic | Mini-dissertations (Industrial and Systems Engineering) |
| url | http://hdl.handle.net/2263/68354 |
| work_keys_str_mv | AT karstencarike developingrobustdistributionnetworksforfutureurbanplanningscenarios |