针对快递企业配送中心人员调配问题,提出了在服务于同类客户与不同类客户两种条件下,用时间序列季节系数法预测来件量,并分析快件处理和配送过程中的人员、车辆因素的方法.该方法对同类客户调整配送中心快件处理人员与分配人员的数量,以此达到极小化快件剩余量的目标,对不同类客户调整配送人员的数量,以此达到极小化配送中心成本的目标,并建立了数学模型.利用粒子群算法对模型进行求解,通过实例进行仿真试验,从而得到配送中心人员调配的最佳方式,以此指导企业合理运营.%Aiming at the personnel allocation problem in the express company, a method which could forecast the express delivery quantity with the time series seasonal coefficient method and analyze the personnel and vehicle factors in the process of express handling and distribution under the conditions of serving the same and different kinds of customers was proposed. For the same kind of customers, the quantity of both express handling personnel and distribution personnel in the distribution center was adjusted with the proposed method, and thus the goal of minimizing the express remainder was achieved. For the different kinds of customers, the quantity of distribution personnel was adjusted, and thus the goal of minimizing the cost of distribution center was achieved. In addition, the mathematical model was established. The model was solved with the particle swarm algorithm, and the simulation test was performed with the examples. Furthermore, the optimal way for the personnel allocation in the distribution center is obtained, which can guide the reasonable operation of companies.
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