Inventory Allocation in Robotic Mobile Fulfillment Systems
Devesh Roy () and
René de Koster
ERIM Report Series Research in Management from Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam
A Robotic Mobile Fulfillment System is a recently developed automated, parts-to- picker material handling system. Robots can move storage shelves, also known as inventory pods, between the storage area and the workstations and can continually reposition them during operations. This paper shows how to optimize three key decision variables: (1) the number of pods per product (2) the ratio of the number of pick stations to replenishment stations, and (3) the replenishment level per pod. Our results show that throughput performance improves substantially when inventory is spread across multiple pods, when an optimum ratio between the number of pick stations to replenishment stations is achieved and when a pod is replenished before it is completely empty. This paper contributes methodologically by introducing a new type of Semi-Open Queueing Networks (SOQN): cross-class matching multi- class SOQN, by deriving necessary stability conditions, and by introducing a novel interpretation of the classes.
Keywords: Robotic Mobile Fulfillment System; RMFS; Semi-Open Queueing Networks; SOQN (search for similar items in EconPapers)
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