Adoption of mechanisation for quality improvement in a selected automotive assembly organisation in South Africa
Robert Walter Dumisani Zondo ORCID ↗
International Journal of Business Ecosystem & Strategy · 2025 · Vol. 7 / Issue 5 · 91-101
Publication metrics
External links open provider records or DOI searches. Provider counts are not combined. Mendeley readership measures saves, not citations.
Dimensions
Live provider badge. If unavailable, use the Dimensions link above.
Observed 21 Oct 2026, 00:14 UTC
Observed 21 Oct 2026 00:14 UTC
OpenAlex and Mendeley observations refresh on article visits, at most once per 24 hours. Unavailable data is not zero. Google Scholar opens a DOI search.
Citations received by this article, grouped by the year of the citing work. Crossref and OpenAlex lifetime totals remain separate in Publication metrics.
2017–2026 Annual history last updated:
Citations received
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
View data & coverage
2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Years beyond a saved observation’s window remain unknown (—). Older citations are excluded, so this chart’s sum may differ from the OpenAlex lifetime total. The date above belongs to this annual history; an unsuccessful refresh keeps the previous observation.
Abstract
Machine efficiency and performance are crucial for attaining company objectives economically. High-tech industries, marked by substantial expenditures, can adapt to swift changes and consumer demands within their established operational parameters and available resources. Providing high-quality products at competitive prices has posed a problem for machine-driven manufacturing organisations. This study investigates the implementation of mechanisation to enhance quality in a chosen automobile assembly company in South Africa. The study employed a quantitative methodology to investigate the production and associated experiences of a chosen automotive assembly organisation that implemented a mechanised system for quality enhancement in its Deck Tailgate process within the welding facility. The Ordinary Least Squares (OLS) model was employed to analyse data using the Statistical Package for Social Sciences (SPSS). The corporation functions within the eThekwini Municipality in the KwaZulu-Natal region of South Africa. This research examines the influence of mechanisation on product quality, defect rates per unit, and operational downtime inside an automotive assembly firm in South Africa. Analysis of pre- and post-mechanisation quarterly data using OLS regression indicates that mechanisation substantially enhances product quality; however, no significant effects were seen regarding defects per unit and downtime. This study reveals the advantages and disadvantages of mechanisation inside this automotive assembly organisation in South Africa.
Keywords: {'name': 'Automotive Assembly Organisation, Defects Per Unit, Downtime, Mechanisation, Product Quality, Quality Service'}
Authors & affiliations
Robert Walter Dumisani Zondo
Durban University of Technology
Deposited references
Supplied references, not a list of publications citing this article.
No reference list supplied.