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• W4283732197 abstract "This paper addresses the order- and rack-sequencing problem at a single picking station in the context of robotic mobile fulfillment systems, a warehouse technology typically applied in large distribution centers. Following the parts-to-picker concept, items are stored on movable racks that are lifted and transported by automated guided vehicles from the storage area to picking stations for order-processing. The order-picking process involves two linked decisions: How to sequence the processing of orders and how to sequence the rack visits to supply the picking station with the requested items. We present a novel mixed-integer linear programming formulation achieving stronger linear programming bounds than a previous formulation. Including preprocessing techniques it quickly solves instances of medium-size to proven optimality for the first time in literature. For large real-world instances, we provide a three-stage heuristic solution procedure suitable in a dynamic environment, while providing competitive solutions within a short run time. Computational experiments on a broad set of benchmark instances and a comparative study with approaches from literature verify our results." @default.
• W4283732197 created "2022-07-01" @default.
• W4283732197 creator A5083530500 @default.
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• W4283732197 date "2023-03-01" @default.
• W4283732197 modified "2023-09-24" @default.
• W4283732197 title "Stronger mixed-integer programming-formulations for order- and rack-sequencing in robotic mobile fulfillment systems" @default.
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• W4283732197 doi "https://doi.org/10.1016/j.ejor.2022.06.051" @default.
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