In tier-to-tier four-way shuttle warehousing system (TFSWS), the idle of shuttles or lifts caused by unreasonable task assignment affects the system’s efficiency. To solve this problem, a task scheduling model is established, in which the job is abstracted into the coding of the task sequence and the third allocation of system resources. Then, an improved genetic algorithm (IGA) is proposed to solve the model. Finally, a practical case is adopted to validate the usability of the established model and the superiority of the proposed method.
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