This paper considers the problem of constructing order batches for distribution centers using a data mining technique. With the advent of supply chain management, distribution centers fulfill a strategic role of achieving the logistics objectives of shorter cycle times, lower inventories, lower costs and better customer service. Many companies consider both their cost effectiveness and market p...

The robotic mobile fulfillment system (RMFS) is a new automatic warehousing system, type of green technology, and an emerging trend in the logistics industry. In this study, we take RMFS as research object combine connected issues storage location assignment path planning into one optimization problem from perspective collaborative optimization. A sustainable mathematical model for (COSLAPP) es...

Batching orders and routing order pickers is a commonly studied problem in many picker-to-parts warehouses. The impact of individual differences in picking skills on performance has received little attention. In this paper, we show that taking into account differences in the skills of individual pickers when assigning work has a substantial effect on total batch execution time and picker produc...

E-commerce companies generate massive orders daily, and efficiently fulfilling them is a critical challenge. In the “parts-to-picker” order fulfillment system, joint optimization of allocation rack selection crucial problem. Previous research has primarily focused on these two aspects separately yet to consider issue workload balancing across multiple picking stations, which can significantly i...