| dc.description.abstract | Order picking is an essential component in supply chain management recognized as
one of the most demanding activities regarding time, labor, and cost in most
warehouses. Order fulfillment is constrained by a predefined timeline set by the
customer, and any inefficiencies in the warehouse order picking process can affect the
entire supply chain. This paper focuses on optimizing routing for order picking in a
warehouse to reduce travel time and distance. Initially, we conduct a thorough
examination and simulation of the current warehouse order picking process and realize
that wasted time during the picking step. Consequently, we propose a straightforward
vehicle routing approach combined with a distance matrix to determine an optimal
order picking route, solved using the Cplex programming language. The optimized
route is then used to improve the simulation model of the original warehouse picking
process. The average time results of the order picking process will be compared
between the simulation model integrated with the optimal route from the VRP
mathematical model with the results of the actual system and the original simulation
model. We show that the proposed the simulation model with vehicle routing based
approach outperforms the real system and the original simulation model by 14.61%
and 19,24%, respectively .In addition, a graphical user interface is created to help
warehouse staff determine the picking route according to the vehicle routing method,
thereby saving time and increasing optimization for the entire picking process in the
warehouse. | en_US |
