技术和运营指标对汽车运输运营规划结果的影响

V. V. Varakin, E. O. Chebakova
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引用次数: 1

摘要

现代理论中存在的计算道路运输业务量的数学装置,对应的是运输过程的唯一技术——倒车里程钟摆路线的功能。然而,今天运作的货运汽车运输企业的现代特征通常是客户、货物类型及其数量、运输距离、机车车辆的数量和类型、技术和操作指标的平均尺寸、道路拥堵、驾驶员数量、技术基础设施状况以及物质和技术服务机会的频繁变化。在这方面,已经进行了研究,并提出了旨在作出明智的管理决定和准确计算计划的车辆需求的结果。在研究过程中运用了线性规划的方法;采用数学建模的专业方法,包括模型的算法和软件实现。对以往开发的方法和模型在货运汽车运输企业经营规划实践中的应用结果进行了分析。结果表明,由于规划值与汽车运输企业实际工作结果存在较大差异,以往建立的数学模型无法实现。Keywords-rolling股票;汽车运输企业;管理;规划;技术和操作指标
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Influence of Technical and Operational Indicators on the Results of Planning Motor Transport Operation
Mathematical apparatus for calculating the road transport operation volume, existing in the modern theory, corresponds to the only technology of the transport process – functioning of the pendulum route with reverse unloaded mileage. However, modern specifics of freight motor transport enterprises functioning today is, as a rule, a frequent change of the clientele, types of freights and their volumes, distances of transportations, quantity and type of the rolling stock, average sizes of the technical and operational indicators, road congestion, number of drivers, condition of technological infrastructure and material and technical service opportunities. In this regard, studies have been carried out and the results aimed at making informed management decisions and accurate calculation of the planned need for vehicles have been presented. In the course of the research the methods of linear programming; professionallogical approach using the apparatus of mathematical modeling, including algorithm and software implementation of models were used. The analysis of the results of the previously developed methods and models application in the practice of planning the freight motor transport enterprises operation is carried out. It is revealed that the previously developed mathematical models are not implemented as there are significant discrepancy between the planned values and the results of motor transport enterprises work. Keywords—rolling stock; motor transport enterprises; management; planning; technical and operational indicators
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