南華大學機構典藏系統:Item 987654321/16518
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    Please use this identifier to cite or link to this item: http://nhuir.nhu.edu.tw/handle/987654321/16518


    Title: 廢棄物回收之逆物流網路設計與運送規劃－以廢電腦回收為例
    Other Titles: Reverse logistics network design and distribution planning for waste computer recycling
    Authors: 溫裕弘;謝佳蓉
    Wen, Yuh-Horng;Hsieh, Chia-Jung
    Contributors: 淡江大學運輸管理學系
    Department of Transportation Management, Tamkang University
    Keywords: 逆物流網路;逆物流運送規劃;廢棄物回收;網路模式
    Reverse Logistics Network;Distribution and Flow Programming;Waste Recycling;Network Modeling
    Date: 2012-10-01
    Issue Date: 2014-01-03 10:01:05 (UTC+8)
    Publisher: 南華大學旅遊管理學系休閒環境管理碩士班
    Abstract: 本研究建構廢棄物回收之逆物流網路結構設計與回收運送規劃模式，分為廢棄物回收逆物流設施區位選擇與運送規劃兩階段模式。第一階段模式運用灰色聚類進行廢棄物回收逆物流區位選擇，包含回收廠、拆解/處理廠、再生廠和最終處理廠的區位設置選擇，而評選指標為設置成本、運輸成本、和人口曝露風險。第二階段為廢棄物回收流通運送規劃模式，目標函數為總成本及總風險最小，其中，總逆物流成本包含有運輸成本、作業成本以及處理成本，總逆物流風險則為運送風險與儲存風險；限制式考慮流量守恆限制、設施容量與數量限制。最後，本研究以廢棄電腦回收為例進行範例分析，驗證模式之可行性，並進行敏感度分析。本研究結果可輔助第三方廢棄物回收逆物流運送業者在複雜、多變的逆物流規劃環境中，因應不同規劃考量，進行更具決策彈性之規劃參考。
    Reverse logistics network design for waste recycling encompasses decisions on reverse logistics network shape, the topological relationships among reverse logistics plants, and reverse distribution planning. This study develops a series of models to design a network structure of waste reverse logistics and to determine distribution flow for waste recycling. In the first part of this study, the reverse logistics network shape is designed and formed into a network structure by applying grey clustering. This study defines transportation cost index and risk index. Using grey clustering, the locations of recycling plants, disassembling plants, recycling companies and the final treatment plants are chosen and determined. In the second part of the study, on the basis of the designed network shape (structure), this study proposes a mathematical programming model to determine the optimal distribution flows on all of the links forming the designed reverse logistics network for waste recycling. The objective function is to minimize the total reverse logistics cost of waste recycling as well as the total risk value. Finally, a case study with a waste computer recycling was provided to illustrate the results and the application of the models. Sensitivity analysis was also discussed. The results of this study verify that the models are practicable, and also provide higher flexibility on decision-making for reverse logistics services providers.
    Relation: 環境與管理研究
    13卷1期
    Appears in Collections:[The Journals of Nanhua University ] Journal of environment and management
    [Department of Tourism Management, The M.A. Program of Tourism Management and Leisure Environment Management] Journal of environment and management

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