本文選題：建筑業(yè) + 進(jìn)城務(wù)工人員�。� 參考：《華中科技大學(xué)》2013年碩士論文

【摘要】：隨著城市的不斷建設(shè)與發(fā)展，建筑業(yè)有著迅猛的發(fā)展趨勢(shì)。建筑業(yè)作為勞動(dòng)密集型產(chǎn)業(yè)，在解決社會(huì)就業(yè)方面扮演著至關(guān)重要的角色。隨著建筑業(yè)的不斷發(fā)展，建筑業(yè)對(duì)勞動(dòng)力的需求量將會(huì)越來越大，建筑業(yè)進(jìn)城務(wù)工人員將發(fā)揮著越來越重要的作用。2012年新春全國(guó)范圍建筑業(yè)勞動(dòng)力短缺問題成了不少企業(yè)不得不面對(duì)的難題。在眾多建筑企業(yè)已經(jīng)出現(xiàn)優(yōu)秀、合格技術(shù)工人短缺的問題，這對(duì)于建筑業(yè)未來的發(fā)展是不利的。因此，解決建筑業(yè)勞動(dòng)力短缺問題刻不容緩。 通過文獻(xiàn)閱讀和數(shù)據(jù)統(tǒng)計(jì)，了解我國(guó)建筑業(yè)的現(xiàn)狀以及建筑業(yè)勞動(dòng)力的供求情況。通過市場(chǎng)調(diào)研、收集數(shù)據(jù)，動(dòng)態(tài)跟蹤建筑業(yè)勞動(dòng)力的整體情況及個(gè)人情況。最終基于現(xiàn)行建設(shè)經(jīng)濟(jì)技術(shù)環(huán)境對(duì)“十二五”期間的建筑業(yè)總產(chǎn)值、建筑業(yè)就業(yè)人數(shù)進(jìn)行灰色模型預(yù)測(cè)。通過 萬元值‖的概念應(yīng)用來預(yù)測(cè)“十二五”期間的建筑業(yè)勞動(dòng)力需求情況。灰色模型的預(yù)測(cè)結(jié)果指出，建筑業(yè)勞動(dòng)力缺口將會(huì)在2015年出現(xiàn)，缺口將達(dá)到37萬左右。本文針對(duì)現(xiàn)有建筑業(yè)的勞務(wù)分包機(jī)制、勞動(dòng)力培訓(xùn)和勞動(dòng)力分配問題，提出人才租賃、建筑業(yè)勞動(dòng)力培訓(xùn)體系、基于線性規(guī)劃的建筑業(yè)技術(shù)工人動(dòng)態(tài)優(yōu)化配置模型化等概念，以便充分利用現(xiàn)有的勞動(dòng)力，減少項(xiàng)目成本和提高進(jìn)度績(jī)效，，從而從根本上解決建筑業(yè)勞動(dòng)力短缺問題。 由于我國(guó)建筑業(yè)勞動(dòng)力市場(chǎng)并不規(guī)范，這需要日后相關(guān)部門的重點(diǎn)監(jiān)管，勞動(dòng)力的相關(guān)數(shù)據(jù)缺乏準(zhǔn)確以及實(shí)時(shí)性，因此對(duì)我國(guó)建筑業(yè)勞動(dòng)力短缺的預(yù)測(cè)還沒能做到精確。在未來，隨著政府加大力度進(jìn)行監(jiān)管，并定時(shí)更新數(shù)據(jù)，通過對(duì)精確的勞動(dòng)力市場(chǎng)數(shù)據(jù)的研究，可以大大的提高預(yù)測(cè)結(jié)果的精度。同時(shí)由于本文采用的是定量的預(yù)測(cè)方法，對(duì)于國(guó)家宏觀調(diào)控因素以及國(guó)外經(jīng)濟(jì)因素等方面并沒有進(jìn)行深入的考慮，如果想得到更好的研究成果，則上述的內(nèi)容理應(yīng)考慮在內(nèi)。
[Abstract]:With the continuous construction and development of the city, the construction industry has a rapid development trend. As a labor-intensive industry, construction industry plays a vital role in solving social employment. With the continuous development of the construction industry, the demand for labor in the construction industry will be increasing. Construction workers will play a more and more important role in the construction industry. The shortage of construction labor has become a problem that many enterprises have to face in the new spring of 2012. In many construction enterprises, there has been a shortage of qualified and skilled workers, which is unfavorable to the future development of the construction industry. Therefore, it is urgent to solve the shortage of construction labor. Through literature reading and data statistics, we can understand the present situation of construction industry and the supply and demand of construction labor force in our country. Through market research, data collection, dynamic tracking of the overall situation of construction labor and personal situation. Finally, based on the current construction economic and technological environment, the grey model is used to predict the total output value and employment of the construction industry during the 12th Five-Year Plan period. The concept of ten thousand yuan should be used to predict the labor demand of the construction industry during the 12th Five-Year Plan. The grey model forecast that the construction industry labor shortage will occur in 2015, the gap will reach about 370000. Aiming at the problems of labor subcontracting mechanism, labor force training and labor distribution in the construction industry, this paper puts forward the concepts of talent leasing, training system of construction labor force, dynamic optimal allocation model of construction technical workers based on linear programming, and so on. In order to make full use of the existing labor force, reduce project cost and improve progress performance, so as to fundamentally solve the shortage of labor in the construction industry. Because the labor market of construction industry in our country is not standardized, it needs the key supervision of relevant departments in the future, and the relevant data of labor force is not accurate and real-time, so the forecast of labor shortage of construction industry in our country has not been accurate. In the future, with the government to strengthen the regulation, and regularly update the data, through the study of accurate labor market data, can greatly improve the accuracy of the forecast results. At the same time, because of the quantitative prediction method adopted in this paper, the national macro-control factors and foreign economic factors have not been considered in depth. If we want to obtain better research results, the above contents should be taken into account.
【學(xué)位授予單位】：華中科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：F249.21;F426.92

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本文編號(hào)：2079360