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    题名: 零售商資訊分享下第三方逆物流業者回收處理中心選址模式研究
    作者: 鄭荏任
    Cheng, Jen Jen
    贡献者: 林我聰
    Lin, Woo Tsong
    鄭荏任
    Cheng, Jen Jen
    关键词: 逆物流
    第三方逆物流業者
    二元邏輯迴歸分析
    選址模式
    Reverse Logitsitc
    Third-Party Logistics Providers
    Binary Logistic Regression
    Facility Location
    日期: 2011
    上传时间: 2012-10-30 11:21:29 (UTC+8)
    摘要: 逆物流回收的複雜度遠比正向物流高，企業為專注核心價值多半將逆物流活動委外專業物流服務供應商。對第三方逆物流業者而言，選擇適當的回收處理中心位址為其重要核心能力之一，而現今研究對於選址模式中之回收不確定性，大多以歷史資料作為參數，無根據區域特性不同而有所分別。故本研究希望探討在零售商提供資訊的情境下，結合消費者問卷建構廢棄產品的使用年限機率、並以二元迴歸邏輯分析建構回收機率以此預測區域回收數量，透過資訊分享以建立更好的回收處理中心選址設置模式，使第三方逆物流業者可按照此模式選擇最適當的回收點位置與回收處理量安排用以求得利潤最大化。
    Since reverse logistics is much more complex than forward logistics, third-party logistics providers are often the prior choice for firms to obtain their core value when a
    reverse logistic activity is needed. For third-party logistics providers, the location is one of their crucial core values; while most of them can only rely on historical data to
    assume the best location, due to the uncertainty of recycling in present studies.Therefore, this paper tries to construct the probability of products’ used-years by
    combining the retailers’ information with consumer-oriented questionnaires. Binary logistic regression is the methodology used to analyze and predict recycling
    probability. By information-sharing the third-party logistics providers will be able to construct a better selecting model for the best facility location, which will reach the
    most suitable recycling quantity to maximize their profits.
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    描述: 碩士
    國立政治大學
    資訊管理研究所
    99356034
    100
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0099356034
    数据类型: thesis
    显示于类别:[資訊管理學系] 學位論文

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