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Sugo Bryanpark
Mini Dissertation (B Eng. (Industrial and Systems Engineering))--University of Pretoria, 2017.
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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_ | 1867613712125263872 |
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| access_status_str | Open Access |
| author | Van Den Berg, Emile Garrett |
| author_browse | Van Den Berg, Emile Garrett |
| author_facet | Van Den Berg, Emile Garrett |
| author_sort | Van Den Berg, Emile Garrett |
| 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 (B Eng. (Industrial and Systems Engineering))--University of Pretoria, 2017. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/68404 |
| institution | University of Pretoria (South Africa) |
| language | English English |
| last_indexed | 2026-06-10T12:40:30.132Z |
| 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:2263/68404 Sugo Bryanpark Van Den Berg, Emile Garrett Mini-dissertations (Industrial and Systems Engineering) Mini Dissertation (B Eng. (Industrial and Systems Engineering))--University of Pretoria, 2017. Work scheduling in the restaurant industry is an often neglected task due to the abnormal complexities of having to allocate multi-skilled staff over multiple overlapping shifts to meet dynamic demand. Client satisfaction is a significant aspect of the industry, in which the time to produce is almost as important as the quality of the food. Thus it is vital for a restaurant to be able to anticipate and meet demand. It is found that the use of quantitative (formula driven) methods does not ensure higher accuracy in both the forecasting and work-scheduling, but rather when used in combination with qualitative (experience input) is the accuracy majorly increased. The forecast model operates on data gathered from the point of sale system, and is then reworked into 100 di↵erent time intervals over the course of each day in a week. The output is then validated and adjusted before it is imported into the work-schedule function. The work-schedule function is able to output the ideal work schedule per staff member while also illustrating the shortages and surplus staff per time interval. This then allows the manager to ensure that service delivery is met as efficiently as possible. 2019-02-04T13:20:00Z 2019-02-04T13:20:00Z 2019 2017 Mini Dissertation http://hdl.handle.net/2263/68404 en 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. 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) Van Den Berg, Emile Garrett Sugo Bryanpark |
| title | Sugo Bryanpark |
| title_full | Sugo Bryanpark |
| title_fullStr | Sugo Bryanpark |
| title_full_unstemmed | Sugo Bryanpark |
| title_short | Sugo Bryanpark |
| title_sort | sugo bryanpark |
| topic | Mini-dissertations (Industrial and Systems Engineering) |
| url | http://hdl.handle.net/2263/68404 |
| work_keys_str_mv | AT vandenbergemilegarrett sugobryanpark |