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題名：以新式演化式演算法解決綠色物流問題
作者：阿努拉
作者(外文)：Anurag Tiwari
校院名稱：元智大學
系所名稱：資訊管理學系
指導教授：張百棧
學位類別：博士
出版日期：2016
主題關鍵詞：綠色物流問題；區塊重組；人造解；基因演算法；供應鏈管理；封閉環路供應鏈；Green Vehicle Routing Problem；Block Recombination；Artificial Chromosome；Genetic Algorithm；Supply Chain Management；Closed loop Supply Chain
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環境污染成為許多國家的主要威脅。許多有毒氣體如二氧化碳、一氧化碳和許多溫室氣體是最大的威脅者之一。傾倒產品則是造成環境污染的另一主要原因。大部分的製造企業想要實現利潤最大化以及環境污染最小化。近年來，隨著環境的危機、綠色供應鏈管理，尤其是封閉環路的供應鏈模式已經受到了學者們相當的重視。在這項研究中，我們考慮兩個方式去到減少二氧化碳最小化。首先我們已經對於綠色車輛路徑問題進行研究，接著需要考量到封閉環路的綠色供應鏈問題。綠色車輛路徑問題是以距離為基礎的方法來計算二氧化碳排放量，而封閉環路的綠色供應鏈問題則是以再循環以及傾倒產品為基礎。我們運用以區塊重組的方法去解決GVRP標竿問題，並以每個集群做為一個區塊，以此混和領土界定演化式方法以解決封閉環路的綠色供應鏈問題。為了驗證本研究所提出之演算法的有效性，我們將所測試之結果與其他所知名的演化式演算法進行比較。研究結果顯示本研究所提出之演算法具有較佳的求解效果。
Environment pollution has become a major threat for many countries. Many toxic gases such as Carbon dioxide, carbon monoxide and greenhouse gases are biggest contributors to the threats. Dump Products are another major contributors in environment pollution. Most of the manufacturing companies want to maximize their profits as well as minimize the environment pollution. Recently, with the environmental crisis, Green supply chain management and in particular closed loop supply chain model, has received considerable attention by researchers. In this research, we have considered two ways to minimize the carbon di oxide emission. In first stage we have examined the Green Vehicle routing problem, and in the Second Stage we have considered a closed loop green supply Chain problem. Green vehicle routing problem is a distance based approach to calculate the carbon dioxide emission whereas closed loop green supply chain is based on recycling and dump products. A block recombination approach is applied to solve the GVRP benchmark problem where each cluster represents a block and a hybrid territory defined evolutionary approach is applied to solve closed loop green supply chain problem. We compared the result with other well-known evolutionary algorithm. Computational result shows that the proposed methodology has promising results.
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