本文關(guān)鍵詞： 物流時間預(yù)測 物流模擬數(shù)據(jù)采集 Redis　出處：《吉林大學(xué)》2016年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著電子商務(wù)的快速發(fā)展,越來越多的人采用網(wǎng)上購物這種新興購物方式,自己足不出戶便能便捷的選擇出需要的商品。作為電子商務(wù)網(wǎng)站,要保持自身競爭力,必須要不斷完善自身服務(wù)質(zhì)量。其中,物流作為將貨物從商家遞送到買家手中的途徑,其提供的信息在用戶下單后追蹤貨物位置時最為重要,但是當(dāng)下的物流網(wǎng)站中的時間預(yù)測模塊只能提供當(dāng)前貨物所到位置和到達時間,以及很籠統(tǒng)的遞送時間描述,不能提供貨物到買家手里的時間,不能很好的滿足用戶的需要。在這種情況下,基于計算機技術(shù)構(gòu)建一個預(yù)測貨物送達時間的服務(wù)模塊,可進一步提升電子商務(wù)和物流業(yè)的服務(wù)質(zhì)量。本文針對基于Redis數(shù)據(jù)庫存儲的電子商務(wù)網(wǎng)站物流時間預(yù)測,提出一個合理的解決方案。系統(tǒng)設(shè)計中在貨物已發(fā)出的情況下,根據(jù)使用物流公司的情況、起始地點、天氣預(yù)測情況,最終預(yù)測出貨物到達買家手里的時間,以完善現(xiàn)有物流網(wǎng)站中缺乏的預(yù)測貨物送達時間模塊。本文設(shè)計方案是基于Redis數(shù)據(jù)庫,相對于傳統(tǒng)的關(guān)系型數(shù)據(jù)庫,在數(shù)據(jù)并發(fā)性較大,數(shù)據(jù)同步性要求不高的情況下,性能有較大提升。在貨物運輸網(wǎng)絡(luò)中,貨物吞吐量龐大、貨物出站入站信息并發(fā)性高時,將Redis數(shù)據(jù)庫應(yīng)用到貨物信息采集中將大幅提高系統(tǒng)性能。
[Abstract]:With the rapid development of e-commerce, more and more people are using online shopping this new shopping way, their homes will be able to choose a convenient needed goods. As the electronic commerce website, to maintain their competitiveness, we must constantly improve their own quality of service. In the logistics as the goods from the delivery to the buyers of the way businesses it provides information, tracking the position of the customer orders after the most important, but the logistics website in time forecast module can provide goods to the current location and arrival time, delivery time and very general description, can not provide the goods to the buyer in time, doesn't well meet the needs of users. In this case, the service module of computer technology to construct a prediction based on delivery time, service quality will further enhance the electronic commerce and logistics industry According to the forecast amount. E-commerce logistics based on Redis database storage time, put forward a reasonable solution. The goods have been issued in the case of the design of the system, according to the logistics company, the initial location, weather prediction, predicted the arrival of the goods at the buyer's time, in order to improve the prediction of the lack of goods the existing site logistics delivery time module. This design is based on the Redis database, compared with the traditional relational database, data concurrency in large data synchronization requirements is not high, performance is greatly improved. In the transportation network, huge cargo throughput, cargo outbound inbound information high concurrency the application of Redis database, the cargo information acquisition will significantly improve the system performance.

【學(xué)位授予單位】：吉林大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：F713.36;F252;TP311.52

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