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首页> 外文期刊>Journal of Cleaner Production >Optimising an eco-friendly vehicle routing problem model using regular and occasional drivers integrated with driver behaviour control
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Optimising an eco-friendly vehicle routing problem model using regular and occasional drivers integrated with driver behaviour control

机译：使用与驾驶员行为控制集成的常规和偶尔驱动程序优化环保车辆路由问题模型

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Vehicle routing problem (VRP) research has recently improved dramatically to simulate more real-life circumstances. Nevertheless, the typical VRP models proposed have been isolated from the most important factor determining the success of the VRP plan on the ground, i.e. the human factor (driver). Thus, this research investigates the effect of drivers' behaviours on the optimal VRP plan by integrating the level of autonomy of both planner and drivers as represented by risk-taking parameters. To enhance the model configuration's practicability, the concept of 'ridesharing' - which has been introduced before - has also been integrated to expand the logistical services, improve customer satisfaction, and compensate for shortages in service. Moreover, to ensure environmentally-friendly logistical practices, a velocity maximisation policy and environmental penalty enforcement on the chosen velocity range have been considered. In general, the model improves drivers' satisfaction, customers' perceived quality, and the firm's financial objectives. Additionally, it achieves a better supply chain strategic fit by planning at the three levels: strategic, tactical, and operational. A numerical example was solved using the Eclipse Java 2018-09 solver through two heuristic methods, the Greedy and the Intra-route neighborhood heuristic, and both revealed the same near-optimal solutions. Sensitivity analyses showed that the resulting insignificant increase in the VRP costs due to assigning autonomy for drivers is still reasonable, and the total costs' objective function weight has an insignificant effect on the total near-optimal solution, while that of the energy consumption objective function has the largest impact. (C) 2019 Elsevier Ltd. All rights reserved.
机译：车辆路由问题（VRP）研究最近急剧改进以模拟更真实的环境。尽管如此，提出的典型VRP模型已经从最重要的因素中分离出来，确定了地面上的VRP计划的成功，即人为因子（司机）。因此，本研究通过整合风险参数表示的规划员和驱动因素的自主程度来研究驱动程序行为对最佳VRP计划的影响。为了提高模型配置的实用性，之前介绍的“ridesharing”的概念也始终集成，以扩大物流服务，提高客户满意度，并弥补服务短缺。此外，为了确保环境友好的后勤实践，考虑了所选速度范围的速度最大化政策和环境处罚执法。一般而言，该模型提高了司机的满意度，客户的感知质量，以及公司的财务目标。此外，它还通过在三个层面规划来实现更好的供应链战略适合：战略，战术和运营。通过两个启发式方法，贪婪和路线内邻域启发式解决了一个数字示例，通过了两个启发式方法，贪婪和路线内邻域启发式，并且都透露了相同的近最佳解决方案。敏感性分析表明，由于为司机分配自主权而导致的VRP成本的显着增加仍然合理，并且总成本的客观函数重量对总近最优解决方案具有微不足道的影响，而能耗目标函数的影响影响最大。 （c）2019 Elsevier Ltd.保留所有权利。

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