交通問題已成為城市中導致壅塞費時、以及廢氣排放和噪音等環境污染的主要原因。交通問題更是城市居住的重要指標，而廢氣排放被視為導致健康方面之一負面影響。民眾環保意識普遍抬頭，全球關注已久的二氧化碳排放問題更常在許多國際議題中出現。綠色運輸成為重要議題。 本研究根據商業物流之交通以及二氧化碳排放量之關係，擬定研究目的如下：（1）由能源推估模式建構車輛同時取送貨問題數學模型。（2）發展演算法以求解綠色物流之最佳路徑以及最小車輛使用成本。（3）計算系統物流產生燃油消耗量、二氧化碳之實際數據。希望透過一套方法論進而達成物流節能減碳之目的。 本研究中針對車輛問題選定較符合實務之同時送取貨車輛問題，並根據車輛能源耗用推估模式以及多方考量車輛限制擬定數學模式，求解出最低車輛使用限制以及最小行駛里程數，並透過案例分析貼近實務和進行方法比較分析，最後得出燃油消耗量、二氧化碳排放量、求解品質、求解速率等。 Transportation problem in modern cities is the main cause of congestion, as well as emissions and noise pollution. Transportation problem is an important indicator of urban living since emissions is considered as one of the negative impact of human health. Due to the rise of environmental awareness of people, global emissions of carbon dioxide has long been concerned problem, and is more often found in many international forum. Green transportation has become an important issue nowadays. According to the relationship between transportation and carbon dioxide emissions of commercial logistics, this study aims to achieve the following objectives: (1) to construct a mathematical model of vehicle routing problem with simultaneous delivery and pickup. (2) to develop a suitable solution procedure for solving the model. (3) to analyze the impact of carbon dioxide emissions on the environment caused by business logistics. The methodology might build a systematic approach in handling carbon reduction from logistics point of view. This study focuses on the practical issue of vehicle routing problem with simultaneous delivery and pickup. Multiple factors on routing, vehicles, energy consumption, and carbon dioxide emissions will be taking in consideration. It solved the model and the best vehicle routing and minimum cost can be found. Practical scenarios were further utilized and models were accordingly adjusted. In the end, we found the quantity of carbon dioxide and oil consumption of transportation and the difference with the solution of solving quality and speed.
