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Developing a Residential Waste Generation and Service Analysis Model
Mini Dissertation (BEng)--University of Pretoria, 2016.
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| Other Authors: | |
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2017
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| _version_ | 1867613674751918080 |
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| access_status_str | Open Access |
| author2 | Willemse, Elias |
| author_browse | Willemse, Elias |
| author_facet | Willemse, Elias |
| collection | Thesis |
| dc_rights_str_mv | © 2017 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 (BEng)--University of Pretoria, 2016. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/62861 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:39:54.561Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/62861 Developing a Residential Waste Generation and Service Analysis Model Willemse, Elias Steyn, Llewellyn James UCTD Mini Dissertation (BEng)--University of Pretoria, 2016. Municipal solid waste collection is a costly service provided by governments all over the world. As a result of the costs and operational complexity associated with this service it has become the focus of many studies on optimisation. Key to successfully optimising the collection of waste is having access to data relating to waste generation rates and service levels. These di er signi cantly from city to city and therefore developing waste generation models for large metropolitan cities is crucial. Not only do e ective waste generation and service analysis models aid in developing optimisation models but they also lead to better strategic and operational decision making on the part of city planners. This paper used GPS traces collected from the City of Cape Town's waste collection eet to estimate the amount of waste produced per suburb, the mean service time per service area, the mean travel times between land lls and service areas and nally the velocity distributions inside and outside service areas. Results show that a waste generation and service analysis model is an easy, accurate and cost e ective method for developing vital operational and strategic waste management data. Industrial and Systems Engineering BEng (Industrial) Unrestricted 2017-10-23T08:53:04Z 2017-10-23T08:53:04Z 2017 2016 Mini Dissertation Steyn, L( 2016, Developing a Residential Waste Generation and Service Analysis Model, BEng (Industrial) Mini Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/62861> http://hdl.handle.net/2263/62861 en © 2017 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. application/pdf University of Pretoria |
| spellingShingle | UCTD Developing a Residential Waste Generation and Service Analysis Model |
| title | Developing a Residential Waste Generation and Service Analysis Model |
| title_full | Developing a Residential Waste Generation and Service Analysis Model |
| title_fullStr | Developing a Residential Waste Generation and Service Analysis Model |
| title_full_unstemmed | Developing a Residential Waste Generation and Service Analysis Model |
| title_short | Developing a Residential Waste Generation and Service Analysis Model |
| title_sort | developing a residential waste generation and service analysis model |
| topic | UCTD |
| url | http://hdl.handle.net/2263/62861 |