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Supply chain resilience in a post-pandemic era : a scenario-based simulation study
Dissertation (MEng (Industrial Engineering))--University of Pretoria, 2026.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2026
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| _version_ | 1867613631251742720 |
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| access_status_str | Open Access |
| author2 | Bean, Wilna |
| author_browse | Bean, Wilna |
| author_facet | Bean, Wilna |
| 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, 2026. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/108575 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:39:12.888Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| 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:2263/108575 Supply chain resilience in a post-pandemic era : a scenario-based simulation study Bean, Wilna u13073967@tuks.co.za Boshoff, Estella I. UCTD Sustainable Development Goals (SDGs) Supply Chain Resilience Simulation Supply Chain Disruptions Resilience Interventions Dissertation (MEng (Industrial Engineering))--University of Pretoria, 2026. This study investigates supply chain resilience (SCR) through a systematic literature review and a simulation-based case study. Through a systematic literature review, the study aims to understand the definiton of SCR and its evolution, the different metrics proposed to measure SCR and interventions identified or proposed to improve SCR. After identifying the potential metrics and interventions, a case study is used to simulate and compare the effectiveness of a range of interventions on the resilience of a supply chain under disruption. As part of the literature review, a total of 1480 articles were reviewed with 233 considered relevant to this study. The findings highlight a shift in SCR research from risk management and robustness to adaptive, technology-driven approaches, particularly post-COVID-19. Various resilience metrics exist, including recovery time, financial impact, and network-based indices, though no single standard metric prevails. Interventions were categorised into redundancy, flexibility, network design, supplier strategies, Industry 4.0 and 5.0 strategies, recovery, and other measures. The case study considered a global supply chain with component manufacturing and product assembly based in China, exporting five products to the rest of the world. Distribution centres (DC’s) in Australia, South Africa, Russia, the USA, Brasil and Belgium serve customers around the world. Ten interventions from the flexibility, recovery, redundancy, supplier and network intervention categories were tested across 30 disruption scenarios. The comparison of many different interventions make this study unique as other simulation studies reviewed in the literature often test only one intervention. After analysing the results, it was determined that Dual Sourcing, a supplier intervention, is the most effective in improving service levels and reducing recovery time after disruption. Despite these insights, the study’s high-level approach presents limitations, including favourable assumptions about supplier recovery and disruption probabilities, limited intervention testing, and the exclusion of detailed manufacturing processes. Future research should explore lower-level interventions, such as additive manufacturing, and incorporate more granular simulation models to enhance practical applicability. Industrial and Systems Engineering MEng (Industrial Engineering) Unrestricted Faculty of Engineering, Built Environment and Information Technology None 2026-02-20T14:21:33Z 2026-02-20T14:21:33Z 2026-04-17 2026-02-17 Dissertation * A2026 http://hdl.handle.net/2263/108575 https://doi.org/10.25403/UPresearchdata.31378309 https://doi.org/10.25403/UPresearchdata.31378309 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 | UCTD Sustainable Development Goals (SDGs) Supply Chain Resilience Simulation Supply Chain Disruptions Resilience Interventions Supply chain resilience in a post-pandemic era : a scenario-based simulation study |
| title | Supply chain resilience in a post-pandemic era : a scenario-based simulation study |
| title_full | Supply chain resilience in a post-pandemic era : a scenario-based simulation study |
| title_fullStr | Supply chain resilience in a post-pandemic era : a scenario-based simulation study |
| title_full_unstemmed | Supply chain resilience in a post-pandemic era : a scenario-based simulation study |
| title_short | Supply chain resilience in a post-pandemic era : a scenario-based simulation study |
| title_sort | supply chain resilience in a post pandemic era a scenario based simulation study |
| topic | UCTD Sustainable Development Goals (SDGs) Supply Chain Resilience Simulation Supply Chain Disruptions Resilience Interventions |
| url | http://hdl.handle.net/2263/108575 https://doi.org/10.25403/UPresearchdata.31378309 https://doi.org/10.25403/UPresearchdata.31378309 |