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Full-Text Articles in Engineering
A Multi-Objective Affinity-Based Savings Algorithm For Improving Processes In Centralized Warehousing Operations, Mckenlee M. Coco
A Multi-Objective Affinity-Based Savings Algorithm For Improving Processes In Centralized Warehousing Operations, Mckenlee M. Coco
Graduate Theses and Dissertations
Traditional approaches to improving material management processes in warehousing operations tend to focus on one of three major areas: facility design, order picking and sorting, and order batching. In an effort to improve total system savings, a new affinity function is developed and applied to batching logic to create a multi-objective problem. The proposed multi-objective function incorporates user input to increase adaptability to changing demand and flexibility to changing requirements. Computational experience shows the new function leads to solutions that deviate no more than 25% from the most efficient distance based picking route by the same batching logic, while creating …
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 …
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 …
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 …