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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
An Integrated Network Modeling Framework For Analysis Of Multi-Line Order Pick Systems, Debjit Roy, Vishal Bansal
An Integrated Network Modeling Framework For Analysis Of Multi-Line Order Pick Systems, Debjit Roy, Vishal Bansal
15th IMHRC Proceedings (Savannah, Georgia. USA – 2018)
Due to demanding service levels in E-commerce order fulfillment, modeling and analysis of order picking processes in warehouses deserve special attention. With a particular focus on multi-line E-commerce orders, we develop modeling tools that are necessary to analyze the order consolidation delays in the downstream pick stations. We develop a queuing network modeling framework for integrated analysis of upstream (storage system) and downstream (pick system). We apply our modeling approach to an integrated order-pick system that includes a shuttle-based storage and retrieval system, and a single pick station. Using simulations, we test the effect of the storage system configuration on …
Batching In Bucket Brigade Order Picking, Yossi Bukchin, Eran Hanany, Eugene Khmelnitsky
Batching In Bucket Brigade Order Picking, Yossi Bukchin, Eran Hanany, Eugene Khmelnitsky
15th IMHRC Proceedings (Savannah, Georgia. USA – 2018)
Order picking is the most labor cost consuming element in warehouse operations. In this paper, we consider an order picking process in a single picking aisle in the forward pick area, consisting of multiple locations (pick faces). The picking is performed by a group of pickers, each characterized by stochastic (forward and backward) walking process and picking times. We assume that the bucket brigade (BB) approach is applied, in a static environment, in which a given set of orders has to be picked. In order to improve the picking process, we suggest a batching procedure, where the objective is to …
Managing The Order Picking Process In For Click And Collect In Grocery Stores, Dale T. Masel, Akhilesh Mesa
Managing The Order Picking Process In For Click And Collect In Grocery Stores, Dale T. Masel, Akhilesh Mesa
15th IMHRC Proceedings (Savannah, Georgia. USA – 2018)
Many grocery stores offering a service called “Click and Collect,” where customers can submit an order online and pick up the order at the store or have it delivered. To offer this service in an efficient way while still meeting customer expectations, stores can adapt methods used in warehouse order picking. Once strategy is the method used to group the orders into batches as they are received. We have examined two strategies for batching: order-based batching and time-based batching. From testing these two approaches, time-based batching produces a slightly lower average picking time, but order-based batching has orders ready for …
Economic And Performance Analysis Of Dual-Bay Vertical Lift Modules, Fabio Sgarbossa, Martina Calzavara, Alessandro Persona
Economic And Performance Analysis Of Dual-Bay Vertical Lift Modules, Fabio Sgarbossa, Martina Calzavara, Alessandro Persona
15th IMHRC Proceedings (Savannah, Georgia. USA – 2018)
Warehouse picking is one of the most time and cost consuming activities in a warehouse, often requiring the presence of human operators, who travel within the aisles to retrieve the items needed by the customers. Several studies demonstrate that the travelling activity can represent even the 50% of the total picking time, with a subsequent creation of a separate storage and picking area for small objects. In the last years, new solutions for order picking systems have been developed, especially for small items. One of these solutions requires Vertical Lift Modules (VLMs), storage columns with extractable trays. In this paper, …
Dynamic Batching For Order Picking In Warehouses, Jelmer Pier Van Der Gaast, Bolor Jargalsaikhan, Kees Jan Roodbergen
Dynamic Batching For Order Picking In Warehouses, Jelmer Pier Van Der Gaast, Bolor Jargalsaikhan, Kees Jan Roodbergen
15th IMHRC Proceedings (Savannah, Georgia. USA – 2018)
Dynamic batch picking is characterized by combining product demand from multiple customer orders into one pick tour where new orders are continuously received. Using modern order-picking aids, updated picking instructions can be included in the current pick tours which allows pickers to be re-routed to pick for new orders even when they already started a pick tour. We develop a mathematical model for dynamic batch picking that minimizes the order throughput time of incoming customer orders. In case of new order arrivals, we can quickly re-optimize the model and determine new updated pick tours. This allows for short order throughput …