Order Batching Optimization for Warehouses with Cluster-Picking
نویسندگان
چکیده
منابع مشابه
Order Batching in Order Picking Warehouses: A Survey of Solution Approaches
Order picking is a warehouse function dealing with the retrieval of articles from their storage location in order to satisfy a given demand specified by customer orders. Of all warehouse operations, order picking is considered to include the most cost-intensive ones. Even though there have been different attempts to automate the picking process, manual order picking systems are still prevalent ...
متن کاملOrder-picking workstations for automated warehouses
| This dissertation addresses performance analysis of order-picking workstations for automated warehouses. The first chapter provides a general overview of warehousing and order-picking systems (OPS). A classification of OPS is discussed. Literature regarding endof-aisle OPS, which is the type of system considered in this dissertation, is reviewed in greater detail. Typical issues for this syst...
متن کاملTitle Order batching and picking in a synchronized zone order picking system
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...
متن کاملOrder-batching methods for an order-picking warehouse with two cross aisles
Order batching is one of the methods used in warehouses to minimize the travel distance of pickers. In this paper, we focus on developing order-batching methods for an order-picking warehouse with two cross aisles and an I/O point at one of its corners. Each of these methods is made up of one seed-order selection rule and one accompanying-order selection rule. Eleven seed-order selection rules ...
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ژورنال
عنوان ژورنال: Procedia Manufacturing
سال: 2019
ISSN: 2351-9789
DOI: 10.1016/j.promfg.2020.01.302