| dc.contributor.advisor | Breytenbach, Johan | |
| dc.contributor.author | Davids, Heinrich | |
| dc.date.accessioned | 2022-03-17T12:54:36Z | |
| dc.date.available | 2022-03-17T12:54:36Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | http://hdl.handle.net/11394/8932 | |
| dc.description | Magister Commercii (Information Management) - MCom(IM) | en_US |
| dc.description.abstract | With conclusive evidence from multiple research studies it is evident that the lack of real time information flows in Warehouse Management (WM) operations leads to rigid, un-optimised supply chains. Industrial Image Processing (IIP) is a popular new technology that allows for improved information flows in WM processes through the capture and analysis of images in real time. This study aims to investigate the design principles for improving WM processes through IIP implementation. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | University of Western Cape | en_US |
| dc.subject | Industrial image processing | en_US |
| dc.subject | Warehouse management | en_US |
| dc.subject | Supply chain agility | en_US |
| dc.subject | Information technology | en_US |
| dc.subject | Machine learning | en_US |
| dc.subject | South Africa | en_US |
| dc.title | Designing industrial image processing applications for warehouse management in South Africa | en_US |
| dc.rights.holder | University of Western Cape | en_US |
