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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/53491


    Title: 完整運籌下企業回收決策與協同運輸規劃模式之研究
    Other Titles: The Research on Enterprise Recycling Decisions and Collaborative Transportation Planning Model for Complete Logistics
    Authors: 林我聰
    Contributors: 國立政治大學資訊管理學系
    行政院國家科學委員會
    Keywords: 企業回收決策
    Date: 2008
    Issue Date: 2012-08-30 15:50:45 (UTC+8)
    Abstract: 本研究為兩年期計畫，深入探討兩項議題：（1）第一年首先探討，提供逆物流∕逆運籌（Reverse Logistics）服務之回收處理供應商的最適再生物料訂單收受量，及其所屬各逆物流處理中心的最適處理量之決策模式（Decision Model）的建立，（2）第二年接著探討，在完整物流（含正物流與逆物流）∕完整運籌（Complete Logistics）中，如何透過生產製造商、回收處理供應商及物流運輸業者三者間的協同作業，以建立尋求利潤最大的決策模式。同時本研究並將依上述所提出之決策模式及協同作業模式，建立一決策支援系統雛型，提供決策者於考量環保法令規定、產品回收及再利用時，能做出符合企業效益的最佳回收、再製造、原物料採購及運輸決策。 本期中進度報告為兩年期計畫中，第一年的研究成果報告。本研究於第一年已完成上述第一項議題之探討，所提出之決策模式，可幫助擁有多個處理廠的逆物流服務供應商，於考慮具不確定性及多時期、多型態的退回商品時，決定其最適再生物料訂單收受量，及其所屬各逆物流處理中心的最適處理量。為因應模式中的不確定因子，本研究採用以情境為基礎的穩健最佳化（Robust Optimization）方法求得模式的穩健解。
    This research will be a two-year project to study two main issues: (1) in the first year, a decision model for a reverse logistics service provider to determine the robust optimal quantities of customer orders and robust optimal processing quantities of returned products for each processing facility is proposed, and (2) in the second year, a decision model for the collaboration of product manufacturer, reverse logistics service providers and freight service providers under complete logistics to create maximum profit is proposed. Based on the above proposed models, a prototype of the decision support system will also be implemented to help the users to maximize their profits under the consideration of recycling, remanufacturing, purchasing and transportation. This document describes the first year research results of this two-year project. We have already developed a decision model for a reverse logistics service provider under the context of uncertain, multi-period, multi-type returned products and multiple processing facilities environment. The major focus of this model is on determining the robust optimal quantities of customer orders and robust optimal processing quantities of returned products for each processing facility. To deal with the issues of uncertainties, the model applies the scenario-based robust optimization approach.
    Relation: 應用研究
    學術補助
    研究期間:9708~ 9807
    研究經費:534仟元
    Data Type: report
    Appears in Collections:[資訊管理學系] 國科會研究計畫

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