考慮動(dòng)力煤期貨的電煤庫存優(yōu)化模型研究
[Abstract]:With the implementation of the system of coal mergence, China has entered a new era of coal trading marketization. The fluctuation of coal price makes the cost control task of thermal power enterprises more arduous, and puts forward new requirements to its coal inventory management strategy. Although the thermal coal inventory of thermal power enterprises can ensure its stable production demand, but excessive inventory will occupy the enterprise liquidity, increase the operating costs of the company. At present, in order to avoid the risk of insufficient supply of thermal coal and the risk of price fluctuations, thermal power enterprises often store thermal coal ahead of schedule during peak periods of coal use in winter and summer. Such a strategy would not only increase additional storage costs but also provide better protection for the quality of thermal coal. In 2013, thermal coal futures were officially listed on the Zhengzhou Commodity Exchange, giving thermal power enterprises a new way to obtain thermal coal. Thermal power enterprises can make use of the physical delivery function of thermal coal futures for stable power coal supply. Thermal coal futures are of great significance in ensuring stable production and controlling the cost of thermal power enterprises. At present, most of the research on the purchase of thermal coal futures by enterprises is on risk hedging and hedging. There are few researches on the combination of thermal coal futures and enterprise inventory, so it is of great theoretical and practical significance to carry out this research. The purpose of this paper is to combine the spot and futures of thermal coal to provide a useful reference for thermal power enterprises to formulate the current combined inventory strategy of thermal power plants. The main research contents of this paper are as follows: 1. Using literature research method to understand the current domestic and international situation of thermal coal futures and thermal coal stocks. At the same time, the method of field investigation is used to understand and collect information on the stock strategy of thermal power enterprises during the peak period of coal use, which combines the traditional inventory strategy of thermal power enterprises with the physical delivery strategy of thermal coal futures. The model is established by the method of system dynamics, and the causality and stock relation diagram of the model is drawn. At the same time, the unit test and limit test are carried out to illustrate the authenticity and feasibility of the model. Different simulation strategies are set up under the premise of combining the coal inventory mode in the implementation period. The simulation strategy includes: not considering the futures in advance coal storage strategy, Taking a thermal power enterprise as an example, the paper simulates and simulates the designed simulation strategy, and puts forward some suggestions on the present combined business in the implementation period of the thermal power enterprise according to the simulation results. In the whole research process, this paper establishes an inventory management strategy combining thermal coal futures and spot on the existing inventory strategy of thermal power enterprises, and verifies the impact of different futures purchase strategies on the inventory and cost of enterprises.
【學(xué)位授予單位】:華北電力大學(xué)(北京)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:F764.1;F724.5;F426.61
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 謝曉聞;方意;趙勝民;;中國期貨市場(chǎng)價(jià)格發(fā)現(xiàn)功能研究[J];系統(tǒng)工程學(xué)報(bào);2016年03期
2 劉林;楊文靜;;市場(chǎng)情緒、動(dòng)力煤期貨價(jià)格和現(xiàn)貨價(jià)格相關(guān)性研究——基于MSVAR-Full BEKK-GARCH模型的實(shí)證分析[J];價(jià)格理論與實(shí)踐;2016年03期
3 張耕菩;;動(dòng)力煤期貨對(duì)現(xiàn)貨市場(chǎng)影響研究[J];北京金融評(píng)論;2015年02期
4 張麗華;孫凱軍;;動(dòng)力煤期貨和焦炭期貨套期保值的比較分析——基于最小方差的Copula模型[J];經(jīng)濟(jì)問題;2015年06期
5 徐崗;;貴州省火電企業(yè)實(shí)施動(dòng)力煤期貨交易的現(xiàn)實(shí)思考[J];中國市場(chǎng);2014年40期
6 郭淑華;;動(dòng)力煤期貨相關(guān)知識(shí)[J];煤炭經(jīng)濟(jì)研究;2013年10期
7 顧慕玄;;期貨動(dòng)力煤交割公平性救濟(jì)[J];煤炭經(jīng)濟(jì)研究;2013年07期
8 張昕;;基于系統(tǒng)動(dòng)力學(xué)的逆向物流庫存控制研究[J];生態(tài)經(jīng)濟(jì);2013年05期
9 馬述忠;汪金劍;邵憲寶;;我國戰(zhàn)略性農(nóng)產(chǎn)品期貨市場(chǎng)價(jià)格發(fā)現(xiàn)功能及效率研究——以大豆為例[J];農(nóng)業(yè)經(jīng)濟(jì)問題;2011年10期
10 陳晨;吳鋒;;基于期貨、期權(quán)與現(xiàn)貨組合的采購決策和風(fēng)險(xiǎn)控制研究[J];運(yùn)籌與管理;2011年04期
相關(guān)博士學(xué)位論文 前1條
1 吳橋;現(xiàn)貨價(jià)格波動(dòng)下原材料最優(yōu)采購決策研究[D];浙江大學(xué);2012年
相關(guān)碩士學(xué)位論文 前10條
1 馬姍姍;發(fā)電企業(yè)燃煤庫存管理優(yōu)化研究[D];華北電力大學(xué);2014年
2 韋鈺濤;動(dòng)力煤期貨價(jià)格發(fā)現(xiàn)實(shí)證分析與企業(yè)開展套期保值研究[D];鄭州大學(xué);2014年
3 韓月麗;綏中發(fā)電公司燃料庫存項(xiàng)目管理研究[D];華北電力大學(xué);2014年
4 張潔;電煤供應(yīng)鏈多級(jí)庫存管理研究[D];大連海事大學(xué);2013年
5 梁萬華;電煤供應(yīng)鏈庫存與運(yùn)輸聯(lián)合優(yōu)化研究[D];華北電力大學(xué);2013年
6 于首非;基于系統(tǒng)動(dòng)力學(xué)的冷鏈物流庫存控制模型研究[D];哈爾濱工業(yè)大學(xué);2012年
7 張耀堯;中國煤炭市場(chǎng)分析及動(dòng)力煤期貨合約設(shè)計(jì)[D];華中科技大學(xué);2010年
8 趙彥艷;隨機(jī)時(shí)間序列模型在煤炭價(jià)格預(yù)測(cè)中的應(yīng)用[D];山東大學(xué);2010年
9 孟文璇;煤炭供應(yīng)市場(chǎng)化條件下發(fā)電企業(yè)燃料庫存管理研究[D];華北電力大學(xué)(北京);2007年
10 紀(jì)傳宇;大中型銅消耗企業(yè)利用期貨市場(chǎng)穩(wěn)定生產(chǎn)成本研究[D];華北電力大學(xué)(北京);2005年
,本文編號(hào):2170700
本文鏈接:http://sikaile.net/jingjilunwen/guojimaoyilunwen/2170700.html