資訊廢棄物回收處理補貼費率制定之研究---多階層隨機規劃之應用(I)期中進度報告

淡江大學機構典藏 > 商管學院 > 管理科學學系暨研究所 > 研究報告 > Item 987654321/46973

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題名:	資訊廢棄物回收處理補貼費率制定之研究---多階層隨機規劃之應用(I)期中進度報告
其他題名:	A Study on Determining Recycling and Treatment Fees to Recycling Industries for Waste Computer Appliances---An Application of Multi-Level Programming
作者:	時序時
貢獻者:	淡江大學經營決策學系
關鍵詞:	多階層隨機規劃;非線性;資訊廢棄物;回收與處理費率;二手市場;基因演算法;Multi-level stochastic programming;Non-linearity;Electronic waste;Recycling andtreatment fee;Second-hand market;Genetic algorithm
日期:	2009
上傳時間:	2010-04-15 15:46:24 (UTC+8)
摘要:	本計畫旨在利用多階層隨機規劃(multi-level stochastic programming) 模型，解決環境保護之資訊廢棄物回收處理補貼費率制定的問題。資訊廢棄物為當今環境保護工作中最為關注的對象之一，環境保護署基金管理委員會向資訊責任業者收取費用，並補貼回收處理業者以提高回收率，俾利污染控制以及資源回收。其中補貼費率的制定涉及到多個利益關係人的權益，而多階層規劃將為一描述其間互動關係的可行模型。另一方面，資訊物品雖有其使用年限(譬如桌上型電腦估計使用五年)，但廢棄物的淘汰時機會受到個人習慣、經濟與科技因素影響，而為一隨機變數，因而此模型將為一多階層隨機規劃模型。再者，資訊廢棄物回收後，除了進入回收體系外，部份具有剩餘價值者將會進入二手市場，此二手市場的銷售狀況也會受到經濟與科技因素的影響，而形成另一利益關係人。由於此模型中的隨機性及非線性並存，造成求解的困難，本研究將嘗試使用傳統方法與基因演算法嘗試解決。本計畫預計分為三個部份：一、資訊廢棄物回收處理補貼費率制定的多階層隨機規劃建模與求解。二、考量二手市場影響的多階層隨機規劃建模與求解。三、基因演算法的多階層隨機規劃求解。以上三個部份預期以三個年度完成，期盼藉此整合型計畫的長期發展，解決一些環境保護的管理決策問題；並期於一些整合關鍵點上突破，產生學術上的貢獻。 This study attempts to optimize the operations of the Recycling Fund Management Board (RFMB), founded by the Environmental Protection Administration of ROC Government, through the decision of subsidy rate of the electronic waste to recycling industry in Taiwan. Electronic waste is the major concern in environmental protection for toxic control and resources recovering. RFMB obtains processing fee from electronic industries and gives subsidy to recycling industries for increasing recycling rate or amount. The interactive relationship among stakeholders can be formulated by multi-level stochastic programming (MLSP), considering the uncertainty of end-of-life of PCs. The recycling rate will be affected by the factors of consumers’behavior, economic and technological factors. In addition, there is a second-hand market that will affect the recycling amount of electronics based on the price of used PCs and their components. Thus, another extension of the MLSP model can be made. Due to the uncertainty and non-linearity in the model, we try to use genetic algorithm as an option for solving the problem. Some comparisons between genetic algorithm and traditional approach are also made. There are three major topics in the project as follows. 1. Establishment of a model of multi-level stochastic programming for subsidy for the electronic waste. 2. Establishment of the model considering the effect of second-hand market. 3. Solving the model by genetic algorithm Hope the project is supported for the benefit of academic development and problem-solving in environmental protection issues.
顯示於類別:	[管理科學學系暨研究所] 研究報告

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