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Robotic scheduling system designation for the optimisation of operations in a labyrinth-like unmanned warehouse based on large volume: pick-up, handling and sorting

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  • Peiwen Chi

Abstract

This paper designed a central robotic scheduling system that enhances multi-robotic operations in a maze-like indoor environment. The system is proposed to optimise the operational efficiency of each robot and make collaboration among them. In this regard, three mathematical models are constructed for evaluating the multi-robots indoor operations: AGV handling model, pick-up robotic operation model, and multi-robots collaboration model. Subsequently, GA and DFS algorithms are applied to simulate the real-time operations of the proposed system. Eventually, the simulation results verify that the designed system enables handling robots to complete their assignments over a shorter travelling path with less time, which declines the expenditures of logistic enterprises in expanding their warehouse storage capacity and keeping warehouse competitiveness.

Suggested Citation

  • Peiwen Chi, 2026. "Robotic scheduling system designation for the optimisation of operations in a labyrinth-like unmanned warehouse based on large volume: pick-up, handling and sorting," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 53(4), pages 451-483.
    • Handle: RePEc:ids:ijlsma:v:53:y:2026:i:4:p:451-483
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