- Title
- A model for smart factories in the consumer health sector
- Creator
- Nherera, Bruce
- Subject
- Gqeberha (South Africa)
- Subject
- Eastern Cape (South Africa)
- Subject
- South Africa
- Date Issued
- 2021-04
- Date
- 2021-04
- Type
- Master's theses
- Type
- text
- Identifier
- http://hdl.handle.net/10948/52959
- Identifier
- vital:44879
- Description
- The manufacturing sector, globally, is facing significant challenges due to current societal, economic, environmental, and technological developments. To overcome the challenges into the future, manufacturing organisations will need new capabilities to manage their end to end supply chains to make sure that it is responsive and agile. The Smart factories, as an element of Industry 4.0, drive efficient operations while at the same time ensure that employees are safe, and operations are environmentally sustainable. The ability to be flexible, to be reconfigured and to be connected to customers allows Smart factories to mass customise their customers’ orders and maintain the same efficiencies when compared to mass production operations. Technologies such as the Internet of Things (IoT) in Smart factories must be employed to further drive efficiencies, agility and ease of production by giving operations the capability to respond in real time to problems with machines and customer requests. Smart factory technology allows operational sustainability through the efficient use of resources. The Smart factory revolution is significantly changing the relationship between humans and machines. Based on the literature review conducted, a theoretical model was constructed which was tested at a Consumer Health Organisation to identify the relationship between the dependent and independent factors. The independent factors, specified in the model were job security, organisation culture, training and skills, trust, costs and resources, parent company and standards.
- Description
- Thesis (MBA) -- Faculty of Business and Economic Sciences, NMU Business School, 2021
- Format
- computer
- Format
- online resource
- Format
- application/pdf
- Format
- 1 online resource (221 pages)
- Format
- Publisher
- Nelson Mandela University
- Publisher
- Faculty of Business and Economic Sciences
- Language
- English
- Rights
- Nelson Mandela University
- Rights
- All Rights Reserved
- Rights
- Open Access
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