- Title
- An analysis of logistics companies as contributors to efficient supply chain solution to the automotive industry within the Nelson Mandela Bay
- Creator
- Nyweba, Akhona Gcinashe Andiswa
- Subject
- Business logistics -- South Africa -- Nelson Mandela Bay Municipality
- Subject
- Industrial procurement -- South Africa -- Nelson Mandela Bay Municipality Physical distribution of goods -- South Africa -- Nelson Mandela Bay Municipality Automobile industry and trade -- South Africa -- Nelson Mandela Bay Municipality
- Date Issued
- 2019
- Date
- 2019
- Type
- Thesis
- Type
- Masters
- Type
- MBA
- Identifier
- http://hdl.handle.net/10948/42957
- Identifier
- vital:36714
- Description
- Nelson Mandela Bay region is one of the leading provinces that are contributing positively to the South African economy as the province is privillaged to being the home for giant multinational original equipment manufactureres (OEMs) such as Volkswagen South Africa (VWSA), Isuzu South Africa, Ford South Africa, First Auto Works (FAW), Beijing Automoive Industry Holding Company (BAIC) South Africa, Mercedes and Daimler. To support these automotive companies, logistics companies such as Transnet State Owned Company (SOC) Ltd, DHL South Africa, Mediterranean Shipping Company (MSC) need to ensure that they positively influence the smooth transition of goods. However there are challenges of cost and inefficiences currently faced by the industry. These challenges effectively affect economic growth and the sustainability of the automotive industry. Against this background, this treatise investigates and seeks to address the underlying factors contributing to the ineffectiveness and inefficiency in supply chain for the industry. By establising and understanding how the logistic companies can contribute towards the sustainanbility of the automotive industry in the Nelson Mandela Bay region by driving efficiences in the value chain. The logistics companies are major influencers in the value chain for the industry and by breaking down logistics and supply chains as enablers will be beneficial for the industry. The overall objectives are to reveal and address the automotive industry’s supply chain challenges in order to improve efficiency and effectiveness. This will ultimately contribute to reducing the cost of doing business and improve the competitiveness of the industry. Furthermore to that, the researcher looked at the internal aspects such as resource availability, current infrastracture in the region, interconnection between road, rail and sea. On the external aspects, the researcher looked at the economic stability in the region, unemployment rate, and conduction of customer surveys to analyse how the automotive industry can be helped. These conclusions indicate that the above mentioned factors are contributing to the state of supply chain solutions in the Nelson Mandela Bay region and the recommendations highlighted will make a positive impact in the automotive industry within region. The study was done using the quantitative business research methodology, with an electronic survey as the measuring instrument. The sample consisted of industry players in the automotive industry within the Nelson Mandela Bay region. Future research regarding the topic on hand which is to analyse logistics companies as contributors to efficient supply chain solution to the automotive industry within the Nelson Mandela bay could be futher extended to other geographical arears. Furthermore, the research could be used by other industries to gain advantage on how their value chains can be improved thereby positively inpacting the overall trade and investment of the country and boosting econonomic stability for the country.
- Format
- xiii, 119 leaves
- Format
- Publisher
- Nelson Mandela University
- Publisher
- Faculty of Business and Economic Sciences
- Language
- English
- Rights
- Nelson Mandela University
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| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | SOURCE1 | Akhona Gcinashe Andiswa Nyweba.pdf | 2 MB | Adobe Acrobat PDF | View Details Download |