Optimization of information processing using modern computer technologies in the work of logistics centres

Abstract

To remain successful on the market and efficiently manage warehouses, many large and medium-sized enterprises are implementing and experiencing the benefits of working with cloud-based warehouse management systems (WMS). Contractors quickly install and configure the software on their servers to meet the customer's needs and provide support and updates. Warehouse owners no longer need to worry about hosting servers, providing power, maintaining large IT teams, etc. Machine learning and artificial intelligence algorithms, thanks to the ability to independently collect large volumes of data, improve with experience and adapt to different situations and act accordingly, are increasingly being introduced into warehouse management processes. It helps to analyze balances and deliveries, optimally plan the occupancy of the warehouses, picking of goods for shipments, the number and positions of shift workers, etc. The RFID (Radio Frequency Identification) technology is to put a label on each product unit, which contains encrypted data about weight, volume, reception, storage, etc. Technology is gradually replacing paper carriers with barcodes. After the solution implementation, accounting simplifies, and the number of errors reduces because it is easy to track the movement, find and ship goods. Actively carried out developments that will simplify, minimize the number of errors and speed up the receipt of goods in warehouses and markets. By improving machine learning methods, computer vision technologies will allow correct recognition of the goods by comparing them with templates entered in advance in the database, counting the number of units and separating the damaged ones. The article discusses the following technologies that significantly simplify the processing of goods in modern logistics centres. Outlined the advantages and disadvantages and why not all solutions are possible to implement because it has not yet been possible to achieve acceptable accuracy and price.