Sorting goods with an industrial robot arm: Robot scheduling, destination assignment, and layout design

• We introduce sorting with an industrial robot arm to the OR literature. • We consider all operational decision problems including a limited lookahead. • We provide efficient exact and heuristic solution methods. • Computational results derive managerial decision support. Sorting goods (e.g., picked products according to customer orders or parcels according to outgoing destinations) is an elementary task in almost any warehouse and distribution center. A novel sorting system based on an industrial robot arm promises a fast and space-efficient sortation process. Located at the center of the circular system, the robot fetches goods from one of multiple infeed conveyors and puts them into bins or chutes arranged around it. This paper treats this sorting system from an operational research perspective, addressing all elementary decision tasks. We start with the operational scheduling problem, where we optimize the robot’s pickup sequence of the arriving goods on the conveyors. Furthermore, we address how to assign the sorting destinations to the bins or chutes of the system and the design of the system layout. Our research shows that an optimized system promises a significantly improved throughput performance.

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Publication Details

Journal
European Journal of Operational Research
Published
2026-02-01
DOI
https://doi.org/10.1016/j.ejor.2026.01.052
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Sorting goods with an industrial robot arm: Robot scheduling, destination assignment, and layout design

Rubo Li, Konrad Stephan, Nils Boysen
European Journal of Operational Research
Advanced Manufacturing and Logistics Optimization
article

Sorting goods with an industrial robot arm: Robot scheduling, destination assignment, and layout design

Rubo Li, Konrad Stephan, Nils Boysen
article en

Abstract

• We introduce sorting with an industrial robot arm to the OR literature. • We consider all operational decision problems including a limited lookahead. • We provide efficient exact and heuristic solution methods. • Computational results derive managerial decision support. Sorting goods (e.g., picked products according to customer orders or parcels according to outgoing destinations) is an elementary task in almost any warehouse and distribution center. A novel sorting system based on an industrial robot arm promises a fast and space-efficient sortation process. Located at the center of the circular system, the robot fetches goods from one of multiple infeed conveyors and puts them into bins or chutes arranged around it. This paper treats this sorting system from an operational research perspective, addressing all elementary decision tasks. We start with the operational scheduling problem, where we optimize the robot’s pickup sequence of the arriving goods on the conveyors. Furthermore, we address how to assign the sorting destinations to the bins or chutes of the system and the design of the system layout. Our research shows that an optimized system promises a significantly improved throughput performance.

European Journal of Operational Research
Wuhan University of Science and Technology (CN), Friedrich Schiller University Jena (DE)
Openalex Percentile: Top 63%
Advanced Manufacturing and Logistics Optimization
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