Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
A software selection for event guest management method, using rule based reasoning
Dissertation (MEng (Industrial Engineering))--University of Pretoria, 2025.
Saved in:
| Other Authors: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
University of Pretoria
2025
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1869484034152726528 |
|---|---|
| access_status_str | Open Access |
| author2 | De Vries, Marne |
| author_browse | De Vries, Marne |
| author_facet | De Vries, Marne |
| collection | Thesis |
| dc_rights_str_mv | © 2024 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 | Dissertation (MEng (Industrial Engineering))--University of Pretoria, 2025. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/107302 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-07-01T04:08:28.303Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| 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:2263/107302 A software selection for event guest management method, using rule based reasoning De Vries, Marne manschristoph.mans@gmail.com Mans, Christoph Software selection Software evaluation Knowledge based system Event guest management Rule based reasoning Dissertation (MEng (Industrial Engineering))--University of Pretoria, 2025. With the continual advancement in software development, the decision-making process for selecting appropriate software solutions becomes increasingly difficult. Literature indicates that the selection of incorrect software solutions has unfavourable consequences on the industry of interest. Within the event guest management (EGM) industry, a systematic literature search highlighted the need for a standard method on selecting an appropriate software application to support EGM. For this study, the requirements elicited, to support EGM, were not used to develop a new information system, but rather to select the most appropriate combination of software applications to support business EGM operations. The main research question was thus: What software selection for event guest-management method (SSEGM) can be amended/designed to compare event guest management tools to address the usability and efficiency needs of an events manager of large events? Literature was analysed on multiple industry and component software selection tools to identify decision-making techniques for selecting software which can be used for EGM. The rule-based reasoning (RBR) component within the hybrid knowledge-based system (HKBS) methodology was identified as a suitable decision-making method. Focusing on eliciting requirements, our scope of interest (SoI) was represented in a model for event guest-management (MEG) which was constructed from existing enterprise engineering body of knowledge concepts. In addition, requirements were extracted from existing EGM software applications by means of a grey literature review. A comprehensive set of requirements was populated into the RBR component using the design science research (DSR) methodology. The set of software requirements, and a database containing EGM software platforms and their respective features are thus included in the SSEGM. Multiple event managers at a large institution (LI) validated the completeness, relevance and usability of the SSEGM. We demonstrated the SSEGM in a simulation of an event at the LI to select a software solution capable of performing the required functions within the context of the LI’s event, linked to the EGM process. The selected software solution success was measured by determining whether it satisfies the event’s functional and non-functional requirements. Additionally, the study validated the SSEGM against its stated functional and non-functional requirements. Limitations were identified, which included method and SSEGM scalability, constructional and maintainability limitations. Future work, building onto the study, included incorporating case-based reasoning (CBR) and artificial intelligence components into the SSEGM and rebuilding the SSEGM in a low-code development platform. Recommendations are provided to promote the relevance, practicality and importance of the SSEGM. It was concluded that the SSEGM demonstrated its capability in guiding a user towards selecting an appropriate EGM software solution. Industrial and Systems Engineering MEng (Industrial Engineering) Restricted Faculty of Engineering, Built Environment and Information Technology None 2025-12-22T12:24:36Z 2025-12-22T12:24:36Z 2026-04 2025-12-09 Dissertation * A2026 http://hdl.handle.net/2263/107302 Disclaimer Letter en © 2024 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 | Software selection Software evaluation Knowledge based system Event guest management Rule based reasoning A software selection for event guest management method, using rule based reasoning |
| title | A software selection for event guest management method, using rule based reasoning |
| title_full | A software selection for event guest management method, using rule based reasoning |
| title_fullStr | A software selection for event guest management method, using rule based reasoning |
| title_full_unstemmed | A software selection for event guest management method, using rule based reasoning |
| title_short | A software selection for event guest management method, using rule based reasoning |
| title_sort | software selection for event guest management method using rule based reasoning |
| topic | Software selection Software evaluation Knowledge based system Event guest management Rule based reasoning |
| url | http://hdl.handle.net/2263/107302 |