The performance of a distribution center is typically judged on throughput-based criteria. Order picking consumes 30% to 40% of operation time in a typical distribution center. To effectively execute an order picking operation in a distribution center depends upon coordinating the formulation of the storage strategy, order processing, and planning the order picking route. However, it is usually...

Order picking is one of the most important process steps in logistics. Because of their flexibility, human beings cannot be replaced by machines. But if workers, in order, picking systems are equipped with a head-mounted display, Augmented Reality can improve the information visualization. In this paper, the development of such a system—called Pick-by-Vision—is presented. The system is evaluate...

In manual order picking systems, order pickers walk or ride through a warehouse in order to collect items requested by customers. The performance of such a system is significantly dependent on its layout which determines the lengths of the order pickers’ tours and the corresponding picking times. Whereas for classic warehouse layouts all picking aisles are arranged in parallel to each other, in...

“First, the order picking then the stock planning – In the order picking area the most stuff is usually employed. Here the customer service and the logistics quality are decided. The highest costs incur here.” [7]. The planning of an order picking system is characterized by the complexity of the system. Through the use of simulation in rough planning, more precise statements about the performan...

Picking machines, also known as remote-order-picking systems, are an example of a stock-to-picker piece-level order-fulfillment technology that consists of two or more pick stations and a common storage area. An integrated closed-loop conveyor decouples the pick stations from the storage area by transporting the needed totes to and from the storage area and the pick stations. We develop a proba...

In this paper, issues of storage layout and order picking operations problems for warehousing are addressed using optimization techniques. The aim of this study is to develop a dynamic planning system applied for storage layout and order-picking operations problems. The planning system considers dynamic nature of customer order demand, configuration of picking area, and interactive human-machi...

For the logistics environment, multi-UAV algorithms have been studied for purpose of order picking in warehouses. However, modern adopts static methods that struggle to cope with increasing volumes goods because receive orders a certain period time and pick only those orders. In this paper, by using modified interventionist method dynamic path planning, we aim assign received real-time multi-UA...