| dc.description.abstract | Businesses today are actively pursuing warehousing enhancements through the implementation
of the order-picking problem due to their perceived critical importance. Order picking is the
systematic procedure of extracting products from their assigned storage locations to satisfy
customer orders. Warehouses enhance order-picking efficiency by carefully consolidating
customer orders in picking batches. Generally, it is necessary to fulfill customer orders within
specific due dates to prevent any disruptions in production or delivery to customers. The
punctuality of order deliveries is significantly influenced by four key factors: the composition
of the batches, the processing time required for picking them, the assignment of personnel
responsible for selecting, and the scheduling sequence in which orders are picked. The overall
delay of customer orders is reduced by applying Variable Neighbourhood Search and its
improvement with local search–based heuristics in this research. Numerical experiments
compare how well the two methods work in several different types of order-picking problems.
It has been shown that the proposed methods offer potential solutions that could enhance the
effectiveness of order-picking operations | en_US |
