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Enhancing warehousing efficiency in the South African automotive sector: challenges and opportunities for supply chain optimization

Author

Listed:
  • Xolani Mwandla

    (Vaal University of Technology)

  • Tshepo Mabotja

    (University of South Africa (UNISA))

  • Elizabeth Chinomona

    (Vaal University of Technology)

Abstract

This study seeks to evaluate the efficacy of storage in the South African automobile industry, pinpointing difficulties and prospective methods for enhancement. It aims to ascertain how effective warehousing might aid in surmounting logistical challenges and enhancing overall supply chain performance. A qualitative study methodology was utilised to investigate the influence of storage on the automobile industry in South Africa. Exploratory and descriptive research designs were employed to fulfil the research objectives. The target group comprised supply chain specialists from specific automotive manufacturers in Gauteng Province. A purposive sampling method was employed, and data were gathered via structured interviews with 15 individuals. The data were examined via ATLAS.ti Qualitative Data Analysis Software (QDAS), resulting in the identification of principal themes and sub-themes. The research indicated that warehousing is crucial in mitigating obstacles encountered by the South African automotive sector, such as unreliable rail transit, restricted capacity, and elevated port expenses. The incorporation of automation, digital technology, and Industry 4.0 concepts could markedly improve warehousing efficiency. Essential recommendations for enhancing warehousing efficiency encompass the implementation of automated technologies, adherence to circular economy principles, and investment in quality management best practices. The results offer practical suggestions for automobile manufacturers and supply chain experts to enhance warehouse operations. By adopting innovative technologies and optimal processes, organisations may tackle current difficulties, lower operating expenses, and secure a competitive advantage in the South African market. The research underscores the necessity of synchronising warehouse strategies with overarching trends in digital transformation and sustainability. This study enhances the existing knowledge on warehousing in the automotive industry, specifically in the South African setting. It offers distinctive perspectives on how technical advancements and industry trends can enhance warehousing operations and assist the sector in addressing region-specific difficulties. The study emphasises the significance of a comprehensive strategy in warehousing, incorporating automation, digital technology, and sustainability principles. Key Words:Automotive Industry, Efficiency, Effectiveness, Warehousing, South Africa, Supply Chain

Suggested Citation

  • Xolani Mwandla & Tshepo Mabotja & Elizabeth Chinomona, 2025. "Enhancing warehousing efficiency in the South African automotive sector: challenges and opportunities for supply chain optimization," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 14(9), pages 32-41, December.
  • Handle: RePEc:rbs:ijbrss:v:14:y:2025:i:9:p:32-41
    DOI: 10.20525/ijrbs.v14i9.4559
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    References listed on IDEAS

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    1. Delic, Mia & Eyers, Daniel R., 2020. "The effect of additive manufacturing adoption on supply chain flexibility and performance: An empirical analysis from the automotive industry," International Journal of Production Economics, Elsevier, vol. 228(C).
    2. Maximilian Löffler & Nils Boysen & Michael Schneider, 2022. "Picker Routing in AGV-Assisted Order Picking Systems," INFORMS Journal on Computing, INFORMS, vol. 34(1), pages 440-462, January.
    3. Oliveira, Leise Kelli de & Lopes, Gabriela Pereira & Oliveira, Renata Lúcia Magalhães de & Bracarense, Lílian dos Santos Fontes Pereira & Pitombo, Cira Souza, 2022. "An investigation of contributing factors for warehouse location and the relationship between local attributes and explanatory variables of Warehouse Freight Trip Generation Model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 206-219.
    4. Xi Li & Yanzhi Li & Ying-Ju Chen, 2022. "Strategic Inventories Under Supply Chain Competition," Manufacturing & Service Operations Management, INFORMS, vol. 24(1), pages 77-90, January.
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