| dc.description.abstract | Order picking has long been identified as the most labour-intensive and costly activity
for almost every warehouse; the cost of order picking is estimated to be as much as 55%
of the total warehouse operating expense. Any underperformance in order picking can
lead to unsatisfactory service and high operational cost for its warehouse, and
consequently for the whole supply chain. In order to operate efficiently, the order
picking process needs to be robustly designed and optimally controlled. This thesis aim
to build a model to solve the Picker Routing Problem (PRP), which optimize the routing
method for ScanCom Supplies warehouse, based on the model of Capacited Vehicle
Routing Problem with Time Windows (CVRPTW) with adjustment and supplement to
constraints to make the model became feasible and applicable to the company case
study. | en_US |
