要使汽车与运输道路得到最佳的匹配,需要分析许多因素的费用效果。大多数矿山采用的基准尺度是以运送每吨物料的费用为依据的。这个尺度突出了汽车每吨运费的两种成分,即生产率(或性能)与经营费。对具体运输任务来说,可用现场测定或模拟方法测定或预测生产率。可将各个单项运输任务加以综合,以便为全矿产量提供范围更大、时间更长的净数值。真正的费用数据是很难收集到的。各因素是依时间、依任务而转移的,而且会受到汽车整个寿命期间诸因素总和的影响。比方说,“派定”费用如自身费用(折旧费)与一些修理费是长期分摊的。诸如燃油与轮胎等费用项目,则可能与一定的任务有更直接的联系。本文将着重研究影响汽车生产率与费用的更直接的、依任务而转移的因素。 To get the best match between the car and the haul road, many factors need to be analyzed for cost effectiveness. The benchmark used by most mines is based on the cost of transporting each ton of material. This metric highlights two components per tonne of car shipping: productivity (or performance) and operating expenses. For specific transportation tasks, field measurements or simulation methods can be used to determine or predict productivity. Each individual transport mission can be integrated to provide a larger, longer-term net value for total production. The real cost data is hard to collect. The factors are time-dependent and mission-dependent and can be affected by the sum of all the factors of the vehicle’s life. For example, “send” costs such as their own costs (depreciation costs) and some repairs are long-term share. Cost items such as fuel and tires may have a more direct connection with certain tasks. This article will focus on the more direct, task-specific factors that affect vehicle productivity and costs.