Akademik Veri Yönetim Sistemi
International Conference on Intelligent and Fuzzy Systems, INFUS 2021, İstanbul, Türkiye, 24 - 26 Ağustos 2021, cilt.307, ss.929-936
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.Today’s warehouse processes require more flexibility than conventional methods in behalf of greater responsiveness to customer orders. The improvement of a smart warehouse strategy through the use of big data technologies and AI, including smart data collection and data manipulation tools, to improve warehouse efficiency and productivity is a popular discussion topic. AI-based data manipulation techniques are used to categorize the types of optimal input for the operation of retrieving goods from specified storage locations based on customer orders, order picking to provide more flexible planning and predictive analysis in the warehouse and distribution center. This study focuses specifically on a web-based interactive AI order picking optimization tool for data manipulation. The AI-based data manipulation tool has a mainspring effect on warehouse performance to get a robust dynamic order picking operation that allows for changes of picking lists during a picking cycle in the warehouse.