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Utilizing simulation derived quantitative formulas for accurate excavator hauler fleet selection

机译:利用仿真得出的定量公式来精确选择挖掘机运输车队

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Discrete event simulation (DES) produces models of greater granularity and higher accuracy in analysis of heavy construction operations than classic quantitative techniques; specifically utilizing average production rates for determining the fleet required for and duration of earthmoving operations. Nonetheless, the application of DES is not readily applied beyond academic work for high level analysis in the heavy construction industry. Field level planners default to the use of average production rates, which can be easily applied with simple spreadsheet tools and allows quick recalculations to be performed when existing input data is changed or more data becomes available. To aid in fleet selection and determination of the duration of site grading earthworks operations where one fleet is applied, this research presents a new approach by developing quantitative formulas from DES analysis. The approach simplifies DES application and reduces the barrier to access simulation-generalized and field-applicable knowledge, while providing greater accuracy than simply relying on average production rates.
机译:与传统的定量技术相比,离散事件模拟(DES)可以在重型建筑运营分析中提供更大的粒度和更高的精度模型;特别是利用平均生产率来确定土方作业所需的船队和工期。但是,在重型建筑行业中,DES的应用并不能轻易地用于学术分析之外的高水平分析中。现场级计划人员默认使用平均生产率,可以使用简单的电子表格工具轻松应用平均生产率,并且当更改现有输入数据或有更多数据可用时,可以快速进行重新计算。为了帮助车队选择和确定应用一个车队的土方工程的地上作业的持续时间,本研究通过开发基于DES分析的定量公式,提出了一种新方法。该方法简化了DES的应用,并减少了获得仿真通用知识和现场应用知识的障碍,同时提供了比单纯依赖平均生产率更高的准确性。

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