盤錦市物流需求預(yù)測研究
[Abstract]:Panjin is one of the famous petrochemical production bases in China. It is also an important processing and production base of high quality agricultural products and a first-class rice export base. However, in recent years, due to the impact of shrinking crude oil and natural gas production in Liaohe Oilfield, Panjin City, as a resource-based city, has become increasingly acute in its inherent contradictions and problems. How to achieve sustainable development is an arduous task that needs no delay. In June 2007, At the fourth plenary meeting of the leading Group of the State Council for the Revitalization of the Northeast and other Old Industrial bases, it was decided that Panjin City should be listed as a pilot city for the economic transformation of the national resource-based cities. Panjin City is also one of the four key cities of circular economy proposed by the "Liaoning Coastal Economic Belt Development Plan" in 2009. This is for Panjin to cultivate the following industries such as petrochemical, equipment manufacturing, plastics and new materials, organic green food, The modern service industry and so on has provided the inexhaustible motive force. At present, there are few research results on the development of modern logistics industry in Panjin City, and the city is striding forward while lacking the guidance of systematic development strategy planning, which is prone to over-development and blind construction of urban logistics infrastructure. As a result of the imbalance between supply capacity and demand level of urban logistics, it is necessary to carry out scientific and reasonable urban logistics development planning for panjinas in rapid development. In this paper, the overview of urban logistics demand, the introduction of demand forecasting model, the development of logistics industry in Panjin and the logistics demand prediction in Panjin are studied. Firstly, this paper introduces the related theories of urban logistics, secondly, introduces the prediction model to be used in this paper. Thirdly, this paper makes a comprehensive analysis of the macro-economic situation, regional economic situation and the city's own environmental conditions of Panjin city's development of modern logistics. Finally, according to Panjin City, with the help of SAS and MATLAB software to forecast the urban logistics demand, the grey forecasting model, the stepwise regression forecasting method, the polynomial curve fitting forecasting method and the combined forecasting model are used to forecast the urban logistics demand, respectively. The accuracy of the forecasting results of each model is analyzed in turn, and the freight volume and freight turnover of Panjin City from 2014-2016 are forecasted. The prediction results show that Panjin City has a wide development space for logistics development. Finally, the development plan of Panjin logistics is proposed.
【學(xué)位授予單位】:大連交通大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:F259.27
【相似文獻(xiàn)】
相關(guān)期刊論文 前10條
1 耿波;趙愛文;;灰色預(yù)測在物流需求預(yù)測中的應(yīng)用分析——以徐州地區(qū)為例[J];科技風(fēng);2012年21期
2 高洪波;楊建強(qiáng);;基于多變量灰色模型算法的物流需求預(yù)測研究[J];物流技術(shù);2013年13期
3 施先亮,張可明;2008年北京奧運賽事物流需求預(yù)測[J];數(shù)量經(jīng)濟(jì)技術(shù)經(jīng)濟(jì)研究;2003年10期
4 向軍,楊偉,管衛(wèi)華,王書翰,譚金會;物流需求預(yù)測中周期因素和季節(jié)因素的探討[J];四川工業(yè)學(xué)院學(xué)報;2004年S1期
5 唐振龍;張學(xué)引;;河北現(xiàn)代物流需求預(yù)測分析[J];中國市場;2007年Z2期
6 馮怡;張志勇;徐廣姝;文培娜;;基于粗糙集理論的我國物流需求預(yù)測[J];物流技術(shù);2010年01期
7 李琦;;物流需求預(yù)測中移動平均法應(yīng)用分析[J];中國商貿(mào);2011年02期
8 萬勵;李余琪;吳潔明;;區(qū)域物流需求預(yù)測的應(yīng)用研究[J];微電子學(xué)與計算機(jī);2011年09期
9 吳潔明;李余琪;萬勵;;物流需求預(yù)測算法的仿真研究[J];計算機(jī)仿真;2011年09期
10 耿立艷;趙鵬;張占福;;基于二階振蕩微粒群最小二乘支持向量機(jī)的物流需求預(yù)測[J];計算機(jī)應(yīng)用研究;2012年07期
相關(guān)會議論文 前5條
1 胡常偉;陳新;陳新度;;多品種小批量產(chǎn)品分銷中的物流需求預(yù)測方法[A];全國生產(chǎn)工程第九屆年會暨第四屆青年科技工作者學(xué)術(shù)會議論文集(二)[C];2004年
2 史磊;李江宏;李智鵬;;烏魯木齊市物流需求預(yù)測研究[A];地理學(xué)核心問題與主線——中國地理學(xué)會2011年學(xué)術(shù)年會暨中國科學(xué)院新疆生態(tài)與地理研究所建所五十年慶典論文摘要集[C];2011年
3 袁麗娜;周建勤;;基于滑動平均-灰色模型的物流需求預(yù)測研究[A];2012管理創(chuàng)新、智能科技與經(jīng)濟(jì)發(fā)展研討會論文集[C];2012年
4 陳德良;王文科;;湖南省物流需求預(yù)測[A];《兩型社會建設(shè)與湖南管理創(chuàng)新》論壇論文集[C];2008年
5 劉洪霞;鹿應(yīng)榮;;非線性預(yù)測模型在糧食物流需求預(yù)測中的應(yīng)用[A];農(nóng)業(yè)系統(tǒng)工程理論與實踐研究——全國農(nóng)業(yè)系統(tǒng)工程學(xué)術(shù)研討會論文集[C];2006年
相關(guān)碩士學(xué)位論文 前10條
1 陳云飛;物流需求預(yù)測在M公司的應(yīng)用研究[D];蘇州大學(xué);2014年
2 李自立;基于支持向量機(jī)的區(qū)域物流需求預(yù)測研究[D];武漢科技大學(xué);2009年
3 黃永福;重慶市物流需求預(yù)測方法及應(yīng)用研究[D];重慶交通大學(xué);2009年
4 黃麗;隨機(jī)時間序列模型在物流需求預(yù)測中的應(yīng)用[D];武漢大學(xué);2004年
5 何霞;基于灰色系統(tǒng)和神經(jīng)網(wǎng)絡(luò)的省級區(qū)域物流需求預(yù)測[D];長沙理工大學(xué);2009年
6 文培娜;基于人工神經(jīng)網(wǎng)絡(luò)的區(qū)域物流需求預(yù)測及實證研究[D];北京物資學(xué)院;2010年
7 劉海波;赤峰市物流需求預(yù)測研究[D];吉林大學(xué);2012年
8 萬福來;天津港物流需求預(yù)測和物流發(fā)展策略研究[D];天津大學(xué);2012年
9 余牛;基于組合預(yù)測法的城市物流需求預(yù)測研究[D];武漢科技大學(xué);2011年
10 吳燁;基于神經(jīng)網(wǎng)絡(luò)的重慶市物流需求預(yù)測研究[D];重慶理工大學(xué);2010年
,本文編號:2382802
本文鏈接:http://sikaile.net/jingjilunwen/quyujingjilunwen/2382802.html