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首页> 外文期刊>Australian journal of civil engineering >A more realistic approach towards concrete delivery dispatching problem: using real distance instead spatial distance
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A more realistic approach towards concrete delivery dispatching problem: using real distance instead spatial distance

机译:解决混凝土交付调度问题的一种更现实的方法:使用实际距离而不是空间距离

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摘要

The Ready Mixed Concrete Dispatching Problem (RMCDP) is a generalised version of the Vehicle Routing Problem (VRP). In RMCDP however, given the particular properties of concrete, a set of additional constraints must be considered. The perishability of fresh material, for example, has to be contemplated, together with other technical issues, such as a truck can only serve a single customer and two or more customers cannot be supplied using a truck in a single trip. RMCDP can be modelled as a mixed integer problem (with soft time window) and it can be optimally solved for small and medium sized variants of the problem. However, the objective cost and similar constraints are usually calculated using spatial distances (Euclidian distance) and similar approximate travel times are used. In this paper, we propose a more realistic method for calculating travel times based on real travel distances obtained from Google Maps API. The accurate travel time information is used as input for the RMCDP, to provide results that are more convincing. This paper compares RMCDP with two different objective functions; (i) spatial distance and (ii) real distance. This research will clarify the influence that the quality of this information has on the decision-making process and whether it is relevant to regard the accurate travel time to achieve a more realistic result.
机译:预拌混凝土调度问题(RMCDP)是车辆路径问题(VRP)的广义版本。但是,在RMCDP中,考虑到混凝土的特殊性能,必须考虑一组附加约束。例如,必须考虑新鲜材料的易腐烂性以及其他技术问题,例如卡车只能为一个客户提供服务,而在一次旅行中不能使用卡车为两个或多个客户提供服务。可以将RMCDP建模为混合整数问题(具有软时间窗口),并且可以针对问题的中小型变体进行最佳求解。但是,通常使用空间距离(欧氏距离)来计算目标成本和类似的约束条件,并且使用类似的近似行驶时间。在本文中,我们提出了一种更实际的方法,用于根据从Google Maps API获得的实际旅行距离来计算旅行时间。准确的旅行时间信息用作RMCDP的输入,以提供更具说服力的结果。本文将RMCDP与两个不同的目标函数进行了比较。 (i)空间距离和(ii)实际距离。这项研究将弄清这些信息的质量对决策过程的影响,以及考虑准确的旅行时间以取得更现实的结果是否相关。

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