| dc.description.abstract | In recent years, with the advancement of network technology, people’s consumption patterns have changed from the past to brick-and-mortar store consumption to now they are shopping through e-commerce platforms on the Internet. Nowadays, the popularity of smart phones and mobile networks makes people more convenient to consume online anywhere. In 2020, a survey on the online shopping behavior of Taiwanese netizens found that the proportion of online purchases made by netizens in 2019 has increased significantly from 35.9% in 2018 to 49.6%, there has been a 50% trend of online shopping orders with PCs. Therefore, it can be known that people can buy the goods they want online at anytime and anywhere, which makes logistics more important.
Due to the increase in online shopping behaviors, in order to meet the needs of retailers and consumers, many companies have set up distribution centers to improve the performance of the entire logistics, and the various internal operations of the logistics center are based on picking goods. Operation is an important and complicated task. Whether the picking operation can be completed in a reasonable time is directly related to the operating cost and service level of the logistics center. At present, most logistics centers are labor-intensive industries. The manpower related to picking operations accounts for more than 50% of the manpower of the entire logistics center; the picking operation time accounts for about 30%-40% of the entire logistics center operation time, so picking operations The importance of it is enough to affect the overall operation and operating costs of the logistics center.
In order to improve the efficiency of picking operations and to increase the overall operation and operating costs of the entire distribution center, this study will use the computer to guide the picking system to determine the characteristics of the picking system in real time. The decision-making problem of the route decision of the goods point is discussed, and a variety of picking route strategies are proposed, combined with relevant environmental factors, and the results of simulation software experiments are used to analyze whether the picking route strategy proposed by this research can effectively improve the overall picking The performance of the assignment. | en_US |