隨著線上購物的蓬勃發展,消費者的消費行為模式有了很大的改變,消費者購買產品的方式不再侷限於傳統通路。透過線上購物平台,消費者在任何有網路的地方就可以利用智慧型手機、平板或電腦上網購買產品。便利的消費模式,不僅消費者受惠,對業者們而言更是充滿無限的商機。近年來,隨著消費者意識的抬頭,消費者的滿意度成為了業者們的首要目標之一。此時,物流網路配送的問題成為了影響消費者的滿意度極其重要的一環。在過去,許多研究將可靠度的概念導入了物流網路中去探討貨物是否可以準時的送達消費者手上。而本研究透過道路車流量與容量的隨機性去探討旅行時間,建構出容量可靠度模型 ,並代入車輛途程問題,透過與傳統最短路徑模型做比較,發現以可靠度為指標的模型在配送時間上優於最短路徑模型。
With the development of online shopping, consumer behavior patterns have changed a lot, and shopping of consumers no longer limited to the traditional way. Through the online shopping platform, consumers can use their smart phone, tablet or computer to purchase products online in any network. Convenient consumption patterns, not only become consumers benefit, but also become business opportunities. In recent years, with the rise of consumer awareness, customer satisfaction has become one of the primary goals. In the meantime, the issue of logistic network distribution becomes extremely important. Over the past few years. many studies have applied the concept of reliability into the logistic network to see if the products can be delivered to customers on time. This study explores travel time through the randomness of road traffic and capacity, and constructs a capacity reliability model and integrates the vehicle routing problem. Comparing with the traditional shortest path model, the model with reliability is better than the shortest path model with the distribution time.