September 10, 2025SystemsOpen Access

Drone-Assisted Order Picking Problem: Adaptive Genetic Algorithm

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The adaptive genetic algorithm significantly improves order picking efficiency, reducing collection time by 29.68%.
Improvement is achieved by integrating drones into the order picking process, optimizing routes and task execution.
The methodology utilizes a Mixed-Integer Linear Programming model to address both order pickers and drone logistics.
The findings have implications for warehouse operations, potentially lowering costs and increasing efficiency.

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Novel adaptive genetic algorithm reduces collection time in order picking, highlighting drone benefits in logistics.

Boz et al. (2025) studied this question.

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