Order picking is a key process in supply chains and determinant of business success many industries. still performed manually by human operators most companies; however, there are also increasingly more technologies available to automate order processes or support pickers. One concept that has not attracted much research attention so far hybrid where autonomous robots pickers work together ware...

“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.” [5] The planning of an order picking system is characterized by the complexity of the system. All attempts to standardize the planning process failed so far. The aim of two research proje...

Order picking has been considered as one of the most critical operations in warehouse. In this study, we propose an analytical approximation model based on probability and queueing network theory to analyze order batching and picking area zoning on the mean order throughput time in a synchronized zone picker-to-part order picking system. The resulting model can be easily applied in the design a...

A unique controlled field experiment investigates order picking performance (in terms of productivity and quality). We examined three manual picker-to-parts order picking methods (parallel, zone, and dynamic zone picking) under two different incentive systems (competitionbased versus cooperation-based) for pickers with different regulatory foci (prevention-focus versus promotion-focus). The stu...

Abstract Order picking is a labor-intensive and costly process in supply chains, which performed manually most cases. Recently, robots have been developed are capable of working together with human pickers shared space. Such hybrid order system can ease pickers’ workload provide ergonomic improvements, because it partially automates the process. We propose simulation model to measure energy exp...