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首页> 外文期刊>International Journal of Logistics: Research and Applications >A model-based decision support system for solving vehicle routing and driver scheduling problems under hours of service regulations
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A model-based decision support system for solving vehicle routing and driver scheduling problems under hours of service regulations

机译:基于模型的决策支持系统,用于在服务小时数内解决车辆路线和驾驶员调度问题

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摘要

In principle, hours-of-service (HOS) regulations are intended to help ensure truck drivers get adequate rest and perform safe operations. The new HOS regulations, however, may lead to substantial cost increases for regional common carriers which have already been hit hard by rising fuel prices and declining shipping demands. In addition, the new HOS regulations complicate driver schedules by not only restricting the driver's consecutive driving hours, but also expanding off-duty hours. To deal with this complex challenge, we propose a model-based decision support system (DSS) that helps determine the truck driver's working hours, rest periods, and his/her assigned truck's schedules and routes under HOS regulations. As a core of this model-based DSS, we developed a mixed-integer programming model and a simulated annealing metaheuristic for solving it. This model was also integrated with a geographical information system and relational database management system to enhance interfaces between the model and its parametric data using spatial, graphical displays.
机译:原则上,服务时间(HOS)法规旨在帮助确保卡车驾驶员充分休息并进行安全操作。然而,新的居者有其屋条例可能会导致区域性普通承运人大幅增加成本,这些地区的普通承运人已经受到燃油价格上涨和航运需求下降的沉重打击。另外,新的HOS法规不仅限制了驾驶员的连续驾驶时间,而且延长了下班时间,使驾驶员的时间表变得复杂。为了应对这一复杂的挑战,我们提出了一种基于模型的决策支持系统(DSS),该系统可根据HOS法规帮助确定卡车司机的工作时间,休息时间以及他/她分配的卡车时间表和路线。作为此基于模型的DSS的核心,我们开发了混合整数编程模型和用于解决该问题的模拟退火元启发式算法。该模型还与地理信息系统和关系数据库管理系统集成在一起,以使用空间图形显示来增强模型与其参数数据之间的接口。

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