交通運輸是每間物流公司的發展重要框架，道路網絡的創新研究可以實行在很多方面，包括社區時間表，物流和現代技術。具體來說，主導綠色製造產業的發展因素則為在運輸過程中所消耗的燃料、行程規畫、與供應商之間的距離和載運貨物數量。高效的運輸調度可以減少對環境的危害，並發展供應鏈程序，但其不利影響在於環境中的廢氣排放以及運輸過程產生的噪音。因此，考量到環境永續性，生產者的運輸成本以及溫室氣體排放降被視為其影響因子。 本研究應用看法則認為未來處於大規模運輸的分銷路網狀態下，由於貨運公司在運輸過程將二氧化碳排放到大氣中，在環境保護法的壓力下，為了消除溫室效應導致的氣候變化，貨運公司嘗試採用EV替代貨運卡車，目前電動汽車被選為替代傳統車輛的最佳解決方案。本研究目的在展示基於啟發式方法的電動汽車路徑問題（EVRP），並以應用Tabu搜索來處理VRP問題，同時以最小的旅行時間費用計算最佳方法，並最大化傳輸載運量結果給予客戶，並計算台灣指定物流公司每次運輸過程所排放的二氧化碳量。 關鍵詞：物流網絡、電動汽車路徑問題、Tabu 搜尋、綠色物流。 ;In this research, innovation of road networks can be fulfilled in many dimensions, those are community schedule, logistics and modern techniques. In details, dominant factors on green manufacture are the fuel which can be consumed in the processes of transportations, a number of journeys, distances among suppliers and quantities of goods. Transportation is an essential framework in every logistic company. Efficient transportation scheduling can reduce harmfully environmental influences and develop supply chain procedures, thus, it is one of the primary addresses of green logistics enterprises, as a result, its unfavorable effects are remaining on the environment in part of emissions, noise and bottleneck. There are now concentrations on the delivery expenses as factor of producers and greenhouse gas amount considered as a factor of environment sustainability. This application also emphasized the deeper visions on distribution networks on massive transportation and its prospects in the near future. Additionally, under the pressures of environment protection laws towards the release of CO2 into the atmosphere because of trucking companies, companies have boosted their attempts to use EV as a wise replacement instead of cargo trucks. With the purposes to eliminate greenhouse gases which is the main factor causing greenhouse effect or climate change, electric vehicles are contemporarily chosen as best solutions to substitute traditional vehicles. This dissertation is aiming to demonstrate the Electric Vehicle Routing Problem (EVRP) based on heuristic methods by applying the Tabu search to deal with VRP problem; that calculates the optimal approaches with minimal travel time expense as well as to maximize the product quantity transferred to the customers and calculate CO2 amount simultaneously on each shipping dispatched in the specified logistic company in Taiwan. Keywords: logistic networks; electric vehicle routing problem; Tabu search; green logistic.
