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A planning model with a solution algorithm for ready mixed concrete production and truck dispatching under stochastic travel times

机译:具有求解算法的规划模型,用于随机行驶时间下的预拌混凝土生产和卡车调度

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摘要

In this study the authors employ network flow techniques to construct a systematic model that helps ready mixed concrete carriers effectively plan production and truck dispatching schedules under stochastic travel times. The model is formulated as a mixed integer network flow problem with side constraints. Problem decomposition and relaxation techniques, coupled with the CPLEX mathematical programming solver, are employed to develop an algorithm that is capable of efficiently solving the problems. A simulation-based evaluation method is also proposed to evaluate the model, coupled with a deterministic model, and the method currently used in actual operations. Finally, a case study is performed using real operating data from a Taiwan RMC firm. The test results show that the system operating cost obtained using the stochastic model is a significant improvement over that obtained using the deterministic model or the manual approach. Consequently, the model and the solution algorithm could be useful for actual operations.
机译:在这项研究中,作者采用网络流技术构建了一个系统模型,该模型可帮助混合混凝土运输船在随机行驶时间下有效地规划生产和卡车调度计划。该模型被公式化为带有边约束的混合整数网络流量问题。问题分解和松弛技术与CPLEX数学编程求解器结合在一起,用于开发能够有效解决问题的算法。还提出了一种基于仿真的评估方法来评估模型,并结合确定性模型以及当前在实际操作中使用的方法。最后,使用来自台湾RMC公司的实际运营数据进行案例研究。测试结果表明,与使用确定性模型或手动方法获得的系统运行成本相比,使用随机模型获得的系统运行成本有了显着改善。因此,该模型和求解算法可能对实际操作有用。

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  • 来源
    《Engineering Optimization》 |2012年第4期|p.427-447|共21页
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  • 作者单位

    Department of Civil Engineering, National Central University, Chungli, 32001, Taiwan;

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