In the global automotive industry there is a drive toward integration of autonomous and human operated equipment. Monfared and Yang (2006:546) suggest that this dynamic requirement could be met with elements to be investigated in a research paper. Current investigations show a gap in management not having a guideline which can be used to help decide between automation versus human capital in the planning of new production facilities in the automotive assembly plant. (Skjerve and Skraaning, 2004:3). The purpose of this research is to determine what factors affect this decision-making process. In order to carry out this research, an in-depth literature review was conducted using various sources. The sources included, but were not limited to, interviews at assembly plants, the Nelson Mandela Metro University library, various e-journals and the internet. The literature review led to the finding of the factors which affect Levels of Automation (LOA) and to the development of the research instrument which was used to measure the impact of those factors. The results of fifty-two (52) respondents were then analysed and used as evidence to support the three hypotheses proposed. As a result of completing the above procedure the following hypotheses were supported. The greater the level of technology and the lower the skills of employees the greater the level of automation in an automotive assembly plant to be used. The greater the complexity of the assembly processes the lower the level of automation in an automotive assembly plant to be used. The higher the flexibility the greater the level of automation in an automotive assembly plant to be used. This means that managers and supervisors of assembly plants should consider the level of technology and skills of employees, flexibility and complexity during the design stages of an automotive assembly line as these factors will affect profitability by reducing waste, improve quality as well as allow for flexibility in customer demand in terms of volumes and product variance.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:nmmu/vital:8833 |
| Date | January 2012 |
| Creators | Pillay, Prabshan |
| Publisher | Nelson Mandela Metropolitan University, Faculty of Business and Economic Sciences |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis, Masters, MBA |
| Format | xi, 93 leaves, pdf |
| Rights | Nelson Mandela Metropolitan University |
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