基于 Arena 的汽车备件仓库资源配置优化研究

以某汽车备件仓库为背景，运用Arena软件建立可靠性较强的仿真模型，以资源利用率最高、排队时间在规定范围内为目标，应用禁忌搜索法得到最佳的资源配置方案。仿真结果表明，优化后的方案较现实情况相比，资源的利用率有了较大提高，资源总数量有所减少，提高了工作效率和服务质量，降低了运营成本，为汽车备件仓库解决资源配置问题提供了参考。

Optimization of Resources Distribution in Auto Spare Parts Warehouse Based on Arena

In order to improve the efficiency , service quality and reduce operating costs of the auto spare parts warehouse , a reliable simulation model was established for an auto spare parts warehouse in Arena software .The maximum resource utilization , queue time within the specified scope was the goals .The tabu search algorithm was used to find the best resource allocation scheme.The simulation results show that , the optimized scheme is more practical; it improved the rate of resources utilization greatly, and at the same time decreased the total number of resources .The new scheme not only improved work efficiency and service quality , reduced operating costs , but also provide a reference for the designers to solve the problem of resource allocation .