工廠中每個決策背後所伴隨的都是各種項目的開銷,例如:不同的設備配置、動線規劃、生產模式等,這些決策在實踐前都需要進行評估,但每個項目會與工廠原本的配置產生交互作用進而牽扯到大量的隨機性與不確定性影響到評估時的難度。若能建立一套符合工廠生產模式的模擬,便可以於模型上調整或是加入參數或情境。系統模擬便是一個可以拿來利用的工具,該模擬方式便可以儘可能的模擬出工廠現實的情境,同時在不影響現實產線的狀態下對模型進行不同情境的假設,因此倚賴系統模擬能夠解決大多數工廠規劃所不易評估的情境。 本研究會以FlexSim建立基礎模型來進行情境測試與分析,輸入不同規模的訂單產量至基礎模型當中,來探討該模擬系統碰到不同的訂單規模時,對於無人搬運車(AGV)的需求。
Behind every decision in the factory is the cost of various projects, such as: different equipment layout, Route Planning, production planning, etc. These decisions need to be evaluated before practice, but each modification method will interact with the original configuration of the factory, resulting in a lot of randomness and uncertainty that affect the difficulty of evaluation. If a set of simulations that conform to the factory production model can be built, parameter or scenario adjustments or additions can be made to the model. System simulation is a tool that can be used. This simulation method can simulate the real situation of the factory as much as possible, and at the same time make assumptions about different situations for the model without affecting the actual production line. Therefore, relying on system simulation can solve large problems. Scenarios that are not easily assessed in most plant plans. This research will use FlexSim to establish a basic model for scenario testing and analysis, and input orders of different scales into the basic model to explore the demand for AGV (Automated Guided Vehicle) when the simulation system encounters different order scales.