Year-end Sale % OFF 
Abstract
A major goal in scheduling multiagent for warehouse picking is to decrease operating cost by minimizing makespan among transport agents. Computational time must be within ten seconds for real-sized instances. Orders are initially batched by solving the split delivery vehicle routing problem, resulting trips are assigned to agents to balance their picking time, and trips are assigned to minimize blocking delays among agents. Simulation results confirmed that our proposal reduces picking time an average of 11.48% over conventional approaches.
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