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Modelling, analysis and evaluation of a metric system for the quantification of management competitiveness in a system-of-systems complex human corporation

Dissertation (MEng (Industrial Engineering))--University of Pretoria, 2024.

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Other Authors: Ayomoh, Michael
Format: Thesis
Language:English
Published: University of Pretoria 2025
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access_status_str Open Access
author2 Ayomoh, Michael
author_browse Ayomoh, Michael
author_facet Ayomoh, Michael
collection Thesis
dc_rights_str_mv © 2023 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, 2024.
format Thesis
id oai:repository.up.ac.za:2263/100461
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:38:22.209Z
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:2263/100461 Modelling, analysis and evaluation of a metric system for the quantification of management competitiveness in a system-of-systems complex human corporation Ayomoh, Michael maryke.schoeman@up.ac.za Schoeman, Maryke F. UCTD Sustainable Development Goals (SDGs) Complex systems Heterogeneous system-of-systems System-of-systems engineering management Measurement of management effort Measurement of competitiveness Hybrid structural interaction matrix Management index for competitiveness Global competitiveness management Agro-seed nurturing industry Grain South Africa Dissertation (MEng (Industrial Engineering))--University of Pretoria, 2024. This research has quantified, through algorithmic sensing and metrication, the effective minimum management score required to attain competitiveness, otherwise known as the management index for competitiveness (MIC). The MIC is required by a System-of-Systems (SoSs) overseeing entity to competitively manage the complex network of systems that forms the heterogeneous SoSs cluster. Quantification of SoSs management is a scarcely researched field due to its extremely qualitative nature. This research has, however, presented an approach for quantifying the management effort. In a bid to bridge the research gap, a holistic and integrated framework depicting an SoSs network of 35 constituent systems in the agricultural grain industry was developed. The SoSs network was architected to show the complexities of the virtual and physical interactions between constituent systems. Furthermore, a quantitative mechanism via the Hybrid Structural Interaction Matrix (HSIM) concept was deployed. This was done so that instead of improving the overall management competitiveness through trial-and-error approaches, the priority systems can be identified and measured that will increase the overall competitiveness the most. From this, it was realised that the MIC herein is 0.50. The study also aimed to create specific rules that govern each level of competitiveness (by reflecting the necessary actions to be carried out and adhered to in order to maintain or enhance the competitiveness level). These governing rules are presented in a rules-like rubric format. Industrial and Systems Engineering MEng (Industrial Engineering) Unrestricted Faculty of Engineering, Built Environment and Information Technology SDG-09: Industry, innovation and infrastructure 2025-02-03T20:07:57Z 2025-02-03T20:07:57Z 2025 2024-11 Dissertation * A2025 http://hdl.handle.net/2263/100461 https://doi.org/10.25403/UPresearchdata.28295276 en © 2023 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
Sustainable Development Goals (SDGs)
Complex systems
Heterogeneous system-of-systems
System-of-systems engineering management
Measurement of management effort
Measurement of competitiveness
Hybrid structural interaction matrix
Management index for competitiveness
Global competitiveness management
Agro-seed nurturing industry
Grain South Africa
Modelling, analysis and evaluation of a metric system for the quantification of management competitiveness in a system-of-systems complex human corporation
title Modelling, analysis and evaluation of a metric system for the quantification of management competitiveness in a system-of-systems complex human corporation
title_full Modelling, analysis and evaluation of a metric system for the quantification of management competitiveness in a system-of-systems complex human corporation
title_fullStr Modelling, analysis and evaluation of a metric system for the quantification of management competitiveness in a system-of-systems complex human corporation
title_full_unstemmed Modelling, analysis and evaluation of a metric system for the quantification of management competitiveness in a system-of-systems complex human corporation
title_short Modelling, analysis and evaluation of a metric system for the quantification of management competitiveness in a system-of-systems complex human corporation
title_sort modelling analysis and evaluation of a metric system for the quantification of management competitiveness in a system of systems complex human corporation
topic UCTD
Sustainable Development Goals (SDGs)
Complex systems
Heterogeneous system-of-systems
System-of-systems engineering management
Measurement of management effort
Measurement of competitiveness
Hybrid structural interaction matrix
Management index for competitiveness
Global competitiveness management
Agro-seed nurturing industry
Grain South Africa
url http://hdl.handle.net/2263/100461
https://doi.org/10.25403/UPresearchdata.28295276