Development of a tool supporting after-sales inbound logistics

dc.contributor.author	Marais, Berdine
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