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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/66751

    Title: 以模擬研究自行車租賃系統之多輛搬運車調度問題;A Simulation Study of Vehicle Dispatch to Reposition Bikes in a Bike-sharing System
    Authors: 林昱辰;Lin,Yu-chen
    Contributors: 工業管理研究所
    Keywords: 自行車租賃系統;車輛調度問題;多輛搬運車作業;隨機模擬;Bike-sharing system;BRP;Multiple trucks planning;Simulation
    Date: 2015-01-26
    Issue Date: 2015-03-16 15:09:39 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 中文摘要
    本研究以英國Barclays Cycle Hire自行車租賃系統為背景,針對重新分配自行車時之搬運作業,將作業分為Pick-up List Rule(PR)裝載準則、Delivery List Rule(DR)卸載準則和Truck Selection Rule(TR)車輛選取準則三大部分進行探討,並使用Arena以隨機模擬之方式進行模型之建立,而最終將以平均等候時間(Average Waiting Time, AWT)、等候線長度(Average Queueing Length, AQL)及平均服務水準(Average Service Level, ASL)及每日平均行走距離(Average Daily Distance, ADD)進行不同搬運組合之績效評估,並分析在執行搬運作業時影響結果之關鍵因素,與不同績效評估指標間之關係與涵義。

    An increasing global population and limited supplies of natural resources have made public transportation systems a popular choice worldwide. Consequently, the planning for these systems has received increasing attentions recently. The different conditions and limitations in different cities determine whether a transportation model is appropriate or not. In recent years, Bike-sharing System (BSS) has been adopted in many cities all over the world due to the convenience and environmental friendli-ness provided by these systems. However, they often suffer from unbalanced num-bers of bicycles within the system, causing customers difficult to rent or return bicy-cles.
    Assuming that the number of bicycles does not change in the system, the best approach to solving this problem is to use trucks to redistribute bicycles to each rental station using effective vehicle dispatch rules within a shortest possible time window.
    We propose an effective vehicle dispatch strategy to reposition bicycles using multiple trucks in three rules (Pick-up List Rule, Delivery List Rule and Truck Selec-tion Rule) and use simulations to create dynamic model. The four performance in-dicators (Average Waiting Time, Average Queueing Length, Average Service Level and Average Daily Distance) will use to evaluate the result after operation and nu-merical analysis will figure out the key factory and relationship between each other.

    Keywords: Bike-sharing system, BRP, Multiple trucks planning, Simulation
    Appears in Collections:[工業管理研究所 ] 博碩士論文

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