臺灣博碩士論文加值系統

隨著各國快速發展，全球人口持續增加及科技日新月異，每日廢棄物產生量相當可觀，根據統計近 10 年來，全台一般廢棄物產生量逐年上升。因應全球趨勢，廢棄物管理方式轉向源頭減量與資源回收為主，以資源循環零廢棄為目標。為提升資源垃圾回收利用率，以及落實資源循環。過去國內有不少相關回收系統，但礙於設置成本、設置地點等其他限制，且因設置數量少、過度分散、民眾自主回收意願低等因素，以致成效不佳。因此，本研究將以台中市西屯區作為研究範圍，應用最大覆蓋選址問題（MCLP）數學模型，求解無人化回收系統最佳分布位置，目標為最大化人口覆蓋率。求解在設施節點可服務範圍（需求節點至設施節點之直線距離）以及機台可設置數量（設施設置比例）不同情況下，回收系統分布位置及人口覆蓋率。未來其他行政區欲導入回收系統或其他設施，本研究可做為其選址依據。

As countries rapidly develop, the global population continues to increase, and technology evolves daily, the amount of waste generated each day is significant. According to statistics, the generation of general waste in Taiwan has been increasing year by year for the past 10 years. In response to global trends, waste management practices have shifted towards source reduction and recycling, aiming for a circular resource economy with zero waste. To enhance the recycling rate of waste resources and implement a circular economy, there have been numerous recycling systems in the country. However, due to constraints such as setup costs, locations, and other limitations, along with a small number of facilities, excessive dispersion, and low public willingness to independently recycle, these efforts have been relatively ineffective. Therefore, this study focuses on the Xi-tun District of Taichung City to apply the Maximum Coverage Location Problem (MCLP) mathematical model, aiming to solve the optimal distribution of unmanned recycling systems to maximize population coverage. The study explores different scenarios for the distribution of recycling systems and population coverage based on the service range of facility nodes (the straight-line distance from demand nodes to facility nodes) and the possible number of machine installations (facility setup ratio). The findings of this research can serve as a sitting problem reference for other administrative districts wishing to introduce recycling systems or other facilities in the future.

誌謝 I
摘要 II
ABSTRACT III
目錄 IV
圖目錄 VII
表目錄 IX
第一章、緒論 1
1.1 研究背景與動機 1
1.1.1 台灣資源回收政策 3
1.1.2 無人化回收系統簡介 7
1.2 研究目的 9
1.3 研究架構 10
第二章、文獻探討 11
2.1 台灣環境政策沿革 11
2.1.1 回收與廢棄物管理 12
2.1.2 資源循環 14
2.2 回收系統介紹 16
2.3 設施選址問題 18
第三章、研究方法 26
3.1 問題描述 26
3.2 無人化回收系統數學模型建立 27
3.2.1 研究假設與限制 27
3.2.2 研究已知資訊 28
3.2.3 數學模型之符號定義 31
3.2.4 數學模型 32
3.3 資料前處理 33
3.4 研究步驟 34
第四章、研究結果 35
4.1 研究案例參數設定 35
4.2 求解結果 38
4.3 研究結果總結 58
第五章、結論與未來展望 59
5.1 結論 59
5.2 未來展望 61
參考文獻 62
附錄 65

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