隨著都市化的發展,城市中的人口越來越多,建築物的利用方式與人數亦有 改變的趨勢,許多之前設計的電梯系統無法應付現今的使用模式,形成尖峰時間 排隊的困窘情形,可能造成使用者的抱怨或是不滿等等。本研究之案例為一科技 公司之辦公大樓,其約40 平方公尺之梯廳空間內,約有100 人排隊之擁擠情形, 故希望以此研究提供改善之策略。 本研究將利用排隊理論與模擬工具的輔助,計算中低樓層建築物在尖峰時段的排 隊情況,並以實際之案例檢驗不同電梯停等策略之成效,作為提供該案例的公司 日後電梯停靠策略之參考。亦可以該兩項工具作為未來衡量 其中以直觀數學流量模型配合 excel 表格做計算,可以用簡易的表格運算分析運量 超載下的情形。另外以商用軟體Arena 模擬,利用電腦隨機參數進行多次的模擬 平均,可與流量模型相互佐證參考。
The way we utilize buildings may have changed over time. Some of the elevator systems designed back in the time are not capable of reaching satisfactory service nowadays, result in large queue in rush hours which might cause complaints or unsatisfactory of passengers. The cases in this study are High-Tech office buildings, in which there are about 100 people waiting in the elevator hall, and the area is only approximately 40 square-meters. Therefore, this study is targeted to find solution to mitigate the queuing status. This study applies queuing theory and uses simulation tool (Arena) as auxiliary model to calculate queuing status in moderate height High-Tech office buildings. This research examines different elevator strategies through practical outcomes, and then provides these models and strategies as reference to the company as their guidance in future building planning. This study uses excel forms as calculation tool for queuing theory which is easily accessible concept to analyze heavy traffic situations. Moreover, the research applied simulation software Arena to build a model and perform multiple times of simulation; then this study takes the average of the outcomes and compare to the results of excel form methods.