Document Type

Research Paper

Publication Date

Summer 6-23-2023

Abstract

Warehouse operations are becoming increasingly competitive due to the rise of e-commerce and same-day deliveries. To increase operational productivity, it is important to organize order picking as efficiently as possible. A new technology that is relatively cheap is assisted order picking (AOP). AOP involves human order pickers and pick robots working together to ensure customer orders are picked. It is easy to apply, does not require a major reconfiguration of the whole warehouse, and is scalable. In this paper, two variants of AOP are studied, and a mathematical optimization model is developed to minimize the makespan of picking a wave of customer orders. Results show that design choices, e.g., storage allocation, operating policy, can have a significant impact on the choice of variant.

Publication Title

Progress in Material Handling Research

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