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Manual and robotic storage and picking systems: a literature review

Allyson Silva,L. C. Coelho,M. Darvish,Jacques Renaud

Published 2024 in INFOR. Information systems and operational research

ABSTRACT

Abstract The rising of e-commerce demands an increase in the performance of warehousing systems, which are being redesigned to deal with a mass volume of demands to be fulfilled as quickly as possible. The manual and robotic mobile fulfilment systems (RMFS) are the most commonly used for these activities. The former is a human-centred system that handles complex operations that current robots cannot perform. However, newer generations of autonomous robots are leading to a gradual replacement by the latter to increase productivity. Regardless of the system used, several interdependent problems must be solved for efficient storage and picking processes. Storage problems concern decisions on where to store products within the warehouse. Batching and picking problems include batching orders to be fulfilled, and the routes the pickers and robots should follow to retrieve the products demanded. This paper identifies the most relevant problems and the state-of-the-art research on these topics. We study the interactions among many of these interrelated problems and provide a critical analysis of the literature. Finally, eight research directions are identified and discussed.

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