Development of a tool supporting after-sales inbound logistics
| dc.contributor.author | Marais, Berdine | |
| dc.contributor.email | jozine.botha@up.ac.za | en_US |
| dc.contributor.other | University of Pretoria. Faculty of Engineering, Built Environment and Information Technology. Dept. of Industrial and Systems Engineering | |
| dc.date.accessioned | 2010-01-28T06:30:08Z | |
| dc.date.available | 2010-01-28T06:30:08Z | |
| dc.date.created | 2009-11 | |
| dc.date.issued | 2010-01-28T06:30:08Z | |
| dc.description | Thesis (B Eng. (Industrial and Systems Engineering))--University of Pretoria, 2009. | en_US |
| dc.description.abstract | Nissans current procurement cost of their after sales parts is not at its lowest. Possible savings can be made by consolidating shipments and buying products at a higher unit cost but making use of cheaper transportation. Decisions need to be made regarding the vendor being sourced from as well as the mode of transportation being used. A “decision making tool” has been developed. This “tool” makes use of existing database data and transportation costs to determine which vendor to source from and which transportation mode to use. The tool consists of an Access database and a LINGO linear programming model. | en_US |
| dc.identifier.uri | http://hdl.handle.net/2263/12786 | |
| dc.language | en | |
| dc.language.iso | en | en_US |
| dc.rights | Copyright: University of Pretoria | en_US |
| dc.subject | LINGO linear programming model | en_US |
| dc.subject | MS Access database | en_US |
| dc.subject | Transport selection | en_US |
| dc.subject | Procurement costs | en_US |
| dc.title | Development of a tool supporting after-sales inbound logistics | en_US |
| dc.type | Text | en_US |