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    政大典藏 > College of Commerce > Department of MIS > Theses >  Item 140.119/139983


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/139983


    Title: 綠色閉迴路供應鏈之多目標穩健最佳化決策模式
    A multi-objective robust optimization model for green closed-loop supply chain network design
    Authors: 方怡文
    Fang, I-Wen
    Contributors: 林我聰
    Lin, Woo-Tsong
    方怡文
    Fang, I-Wen
    Keywords: 閉迴路供應鏈
    多目標混合整數規劃
    穩健最佳化
    Closed-loop supply chain
    Multi-objective mixed integer programming model
    Robust optimization
    Date: 2022
    Issue Date: 2022-05-02 15:00:26 (UTC+8)
    Abstract: 近年環境保護、循環經濟、企業社會責任等議題受到強烈關注，綠色閉迴路供應鏈的相關研究已成為重要課題。企業一方面面對環境議題、法規規範等，另一方面面對競爭激烈經營生態，企業如何有效提升產品或服務的品質，快速回應市場需求，並促成資源循環再利用，將是企業維持競爭力且永續經營的關鍵。
    從相關研究文獻中，可發現閉迴路供應鏈模式中，主要多以經濟與環境指標為目標函數，較少考量其他績效評估指標。為補足上述研究缺口，本研究在閉迴路供應鏈網路架構下，考量不確定性，以多目標混合整數規劃方法，建立同時考量經濟因素、環境因素與品質因素之綠色閉迴路供應鏈多目標資源配置決策模式，以尋求利潤最大化、清潔生產最佳化、供應鏈品質最佳化為目標。針對不確定性因素，本研究以情境為基礎的穩健最佳化方法，在綜合考量不同情境下，求得一穩健最佳解。
    本研究透過真實產業案例評估數量模式之可行性，面對環境之不確定性與多元的決策目標，可透過此模式進行最佳化資源配置評估，作為企業決策訂定之參考依據。本研究所提出綠色閉迴路供應鏈之多目標穩健最佳化決策模式相關研究成果，不僅可作為閉迴路供應鏈相關學術領域研究之參考，在實務上，亦可引導企業建立綠色閉迴路供應鏈資源配置決策模式，以利企業在複雜多變的經營環境，有效訂定較佳決策，協助企業取得較佳獲利能力與競爭優勢。
    In order to keep a company’s competitive capability, effective integrated management of the supply chain are important recently. Due to the topics such as the environmental issues, the governments’ legislation, natural resource limitation and circular economy having got consumers’s awareness, the related researches of the closed-loop supply chain which integrate the forward and reverse supply chain are increasingly growing. Companies not only have to meet the environmental regulations, but also have to sustain high quality of the supply chain operation as a means to stay competitive advantage and profit capability.
    This study proposes a multi-objective mixed integer programming model for an integrated green closed-loop supply chain network designed to maximize profit, amicable production level (environmentally friendly materials and clean technology usage), and quality level. A scenario‐based robust optimization method is used to deal with uncertain parameters such as the demand of new products, the return rates of returned products and the sale prices of remanufactured products.
    The proposed model is applied to a real industry case example of a manufacturing company to illustrate the applicability of the proposed model. The result shows a robust optimal resource allocation solution that considers multiple scenarios. This study can be a reference for closed‐loop supply chain related academic research and also can be used to guide the development of a green closed‐loop supply chain model for better decision making.
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    Description: 博士
    國立政治大學
    資訊管理學系
    102356508
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0102356508
    Data Type: thesis
    DOI: 10.6814/NCCU202200404
    Appears in Collections:[Department of MIS] Theses

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