Abstract
In the face of the diversity and complexity of online orders, online supermarkets need to improve their sorting efficiency to meet increasing customer demands. Order batching and parallel picking are two key measures to improve the efficiency of order picking, which have been widely applied in practice. Order batching involves combining multiple orders into one batch for picking, inspection, and packaging. Parallel picking involves picking items simultaneously in multiple picking areas. This research investigates the collaborative optimization problem of batching and sequencing online supermarket orders under the parallel picking strategy, aiming to reduce the waiting time between processes and improve the overall sorting efficiency. The research provides an effective scientific method for large-scale online supermarket order picking problems, which can enhance customer satisfaction through the improvement of service efficiency and further strengthen the competitiveness of online supermarkets.
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