| dc.description.abstract | Most warehouse managers are concerned with increasing productivity and lowering
labor costs throughout the picking process. As a result, order picking (OP) is regarded
as the most labor-intensive and expensive of all warehouse processes. The OP process
uses a significant amount of warehouse labor and adds significantly to total warehouse
operating costs; thus, the order picking system (OPS) requires special attention to
optimize the warehouse process and the required time reduction during the order
picking operation. Restructuring, along with the use of various order-picking strategies
to save processing time, could yield significant benefits. This thesis analyzes the OPS
improvement possibilities of the current system through appropriate OP methods. This
research project applies ARENA simulation models which are applied to evaluate
different OPS scenarios based on two different OP methods including Zone Picking
method and Batch Picking method. Test results should therefore bring advantages of
new picking methods to overcome difficulty for the entity case. Specifically, reducing
the travel distance time. | en_US |
