英语翻译随着我国社会主义市场经济体制的不断完善,各行各业都在快速发展,铁路运输需求持续增长.据统计,全国日请求车在28万辆左右,而日装车只有10万辆上下,仅占1/3,缺口很大.要缓解当前

英语翻译随着我国社会主义市场经济体制的不断完善,各行各业都在快速发展,铁路运输需求持续增长.据统计,全国日请求车在28万辆左右,而日装车只有10万辆上下,仅占1/3,缺口很大.要缓解当前
英语翻译
随着我国社会主义市场经济体制的不断完善,各行各业都在快速发展,铁路运输需求持续增长.据统计,全国日请求车在28万辆左右,而日装车只有10万辆上下,仅占1/3,缺口很大.要缓解当前运输紧张状况,必须大力挖潜扩能,提高货车运用效率.因此,采取各种措施压缩货车周转时间,加速车辆周转,成为铁路运输行业研究的重要课题.为了了解我国货车运用状况及发展趋势,论文首先对反映货车运用成绩的主要指标,如中时、停时、货车周转时间、货车静载重、货车日产量、运用车数等进行动态分析,从中可以看出,除周时有所延长外,其余指标都有一定程度的进步,保持稳中有升的态势.由于货车周转时间是一个综合性很强的质量指标,而且近年完成情况较历史最好水平有一定差距,所以论文主要对这一指标进行深入研究,运用矩阵分析法分析各因素对它的影响程度和影响方向,运用灰色关联分析法对各因素间的主次关系作了定量计算,得出若干有价值的结论.
谁能帮我翻译.准确的话有奖励

英语翻译随着我国社会主义市场经济体制的不断完善,各行各业都在快速发展,铁路运输需求持续增长.据统计,全国日请求车在28万辆左右,而日装车只有10万辆上下,仅占1/3,缺口很大.要缓解当前
As China's socialist market economic system continuously improved and all walks of life in the rapid development of rail transport demand growth.According to statistics,the National Day at the request of the car around 280,000,and the day loading up and down only 100,000,accounting for only 1 / 3,a large gap.To ease the current tense state of transport must be strong potential to expand and improve the efficiency of the use of vehicles.As a result,various measures reduce the turnaround time for trucks to accelerate the flow of vehicles,railway transportation industry has become an important research subject.In order to understand the situation of China's vehicle use and development trend of the first papers on the use of goods to reflect the performance of key indicators,such as when to stop,the truck turn-around time,the static load trucks,truck production,the use of vehicles such as the number of dynamic analysis,it can be See,with the exception of some extension of the week,all the other indicators have a certain degree of progress,maintaining the trend of steadily.As the truck turn-around time is a very comprehensive quality,but in recent years than the completion of the best levels in history there is a certain gap,so the main thesis of this indicator in-depth research,analysis using matrix analysis of the factors that influence the extent of its And the impact on the direction of the use of gray correlation analysis of the factors that made the relationship between the primary and secondary quantitative terms,come to a number of valuable conclusions.

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