dc.description.abstract | In recent years, due to the rapid development of online shopping, consumption patterns have changed, and consumption channels have shifted from physical stores to e-commerce platforms. Due to COVID-19, online retail sales have reached a new high point. Online shopping merchants focus on 24-hour fast arrival free shipping and free shipping make the distribution volume increase day by day, and also test the efficiency and production capacity of the distribution center. Therefore, how to meet the needs of customers while reducing costs has become a major challenge for distribution centers.
In the operation of the distribution center, the picking operation is the most customer-sensitive part, and it is also the work that consumes the most manpower and the largest amount of operation. At present, most distribution centers are "labor-intensive" industries. Picking operations account for 50 to 75% of the total distribution center operating costs, and the picking operation time accounts for about 30 to 40% of the entire distribution operation time. Therefore, optimizing the picking process becomes the primary goal of the distribution center.
The common picking method in the distribution center is "individual picking". The advantage of this method is that it is simple and clear, but the disadvantage is that it is less efficient. The solution to this is "batch picking", which means combining similar orders to reduce the required picking time and travel distance. It can be seen that the quality of the order batching method has a key impact on the picking efficiency. If a suitable order batching method can be found, the picking efficiency can be significantly improved.
In the past literature, there is little discussion on the common "partition picking system" in the distribution industry. The advantage of this picking system is that the picking route is smooth, but the relative moving line is relatively complicated. Therefore, this research will study the batching problem in the partition picking system, and with the picking path method, it is hoped that through a complete Simulation experiments and performance analysis can find out the most suitable order batching method, and can have a deeper understanding of such problems, and can also contribute to similar research in the future. | en_US |