dc.contributor.author |
Schoeman, C.C.
|
|
dc.contributor.other |
University of Pretoria. Faculty of Engineering, Built Environment and Information Technology. Dept. of Industrial and Systems Engineering |
|
dc.date.accessioned |
2011-04-01T11:05:38Z |
|
dc.date.available |
2011-04-01T11:05:38Z |
|
dc.date.created |
2010-10 |
|
dc.date.issued |
2011-04-01T11:05:38Z |
|
dc.description |
Thesis (B Eng. (Industrial and Systems Engineering))--University of Pretoria, 2010. |
en_US |
dc.description.abstract |
The project was completed at a Nike warehouse managed by the company Barloworld
Logistics. The assignment is based on analysing and improving the outbound planning
process of the warehouse and more specifically a warehouse management and order picking
technique known as wave planning or wave picking, which is thoroughly explained in this
document. The fundamental tasks that were required to complete the final project included:
gaining a thorough understanding of the Nike warehouse daily outbound planning operation,
researching industry tools and best practices that could be used to optimise wave planning
through a literature review, analysing historical data of the average orders completed on a
daily basis, determining possible wave planning improvement solutions specifically for the
Nike warehouse, testing the proposed wave planning solutions through simulation and finally
selecting and testing the preferred theories in practice. |
en_US |
dc.identifier.uri |
http://hdl.handle.net/2263/16192 |
|
dc.language |
en |
|
dc.language.iso |
en |
en_US |
dc.rights |
Copyright: University of Pretoria |
en_US |
dc.subject |
Outbound planning process |
en_US |
dc.subject |
Logistics |
en_US |
dc.subject |
Order picking technique |
en_US |
dc.title |
Analysis for enhanced performance of a warehouse outbound planning process |
en_US |
dc.type |
Text |
en_US |