利用仿真方法重新设计原材料仓库的布局和配置,使港口到仓库的搬运成本最小化

B. Prihanto, I. N. Pujawan
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引用次数: 0

摘要

从港口到PT. Petrokimia Gresik仓库的原材料处理成本很高,这鼓励了这项研究,以找到降低原材料卸载活动成本的解决方案。工厂和原材料仓库彼此分离的位置、尚未与传送带连接的仓库数量以及原材料的种类繁多,都成为其在操作卸载活动时提高效率的挑战。原材料在现有仓库中的布局和分配造成了原材料搬运的高成本,因为移动慢的原材料靠近生产地点,而移动快的原材料远离生产地点。另外,现有卸货方式的差异也会影响原材料卸货的成本,使用船舶起重机和自卸车会增加成本,否则使用传送带会使原材料装卸成本降到最低。这项研究对于寻找具有最有效处理成本的原材料布局和分配具有重要意义。本研究的步骤包括:(1)数据收集和处理;(2)制作概念模型和仿真模型;(3)验证和验证测试;(4)制定备选方案;(5)基于备选方案进行模拟;(6)运用方差分析和成本效益分析进行情景比较。采用Arena 14.0软件进行仿真。仿真结果表明,工厂2A和工厂2B中5个仓库的重新设计布局和配置是最优备选方案。该方案已被证明能够最大限度地降低原材料处理成本,每年节省10.958.028.455卢比,投资回报率为108%,投资回收期为0.48年。
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Re-Design Layout and Allocation of Raw Material Warehouses Using Simulation Methods to Minimize the Handling Cost from Port to Warehouses
The high cost of raw materials handling from the port to the warehouses at PT. Petrokimia Gresik has encouraged this research to find solutions to reduce costs in raw material unloading activities. The location of factories and raw material warehouses that are separated from each other, the number of warehouses that are not yet connected with conveyor belts as well as the diverse types of raw materials become its own challenges in operating unloading activities to be more efficient. The layout and allocation of raw materials in the existing warehouses creates high cost of raw materials handling because slow moving raw materials are close to the production location, while fast moving raw materials are far from the production location. In addition, the differences in the existing unloading methods also affect the cost of raw materials unloading, the use of vessel cranes and dump trucks will increase costs, otherwise the use of conveyor belts will minimize the cost of raw materials handling. This research is important to find the layout and allocation of raw materials that have the most efficient handling costs. The steps in this study include (1) data collecting and processing; (2) making conceptual and simulation models, (3) verification and validation tests; (4) developing alternative scenarios; (5) running simulations based on alternative scenarios; (6) comparing scenarios using anova test and cost and benefit analysis. The simulation is done using Arena 14.0 software. The simulation results show that the re-design layout and allocation of 5 warehouses in Factory 2A and Factory 2B is the best alternative scenario. This scenario is proven to be able to minimize the cost of raw materials handling with savings of Rp. 10.958.028.455 per year with an ROI of 108% and a Payback Period of 0,48 years.
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