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Vehicle routing and appointment scheduling with team assignment for home services

机译:车辆路线和约会安排以及家庭服务的团队分配

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In home services (such as home care), a service provider (with a set of service teams) provides services to a set of geographically distributed customers. A critical operations decision in such services is to assign and route the service teams, while making appointment times for the customers so as to efficiently deliver the services. For this purpose, we consider a simultaneous routing and appointment scheduling problem with team assignment. We build a scenario-based mixed integer program and develop an algorithm based on Tabu Search (TS) method to efficiently solve the problem. Our computational experiments show that the TS-based algorithm works quite well. Specifically, compared with known optimal solutions on small-size problem instances, the algorithm efficiently produces optimal solutions for 38 out of 40 instances and near-optimal solutions for the other 2 instances. Moreover, the algorithm significantly outperforms the approach that separately optimizes assignment, routing, and appointment scheduling. (C) 2018 Elsevier Ltd. All rights reserved.
机译:在家庭服务(例如家庭护理)中,服务提供者(具有一组服务团队)向一组地理分布的客户提供服务。在此类服务中,一项关键的运营决策是分配和路由服务团队,同时为客户安排约会时间,以便有效地交付服务。为此,我们考虑团队分配的同时路由和约会安排问题。我们构建了一个基于场景的混合整数程序,并开发了基于禁忌搜索(TS)方法的算法来有效解决该问题。我们的计算实验表明,基于TS的算法效果很好。具体而言,与已知的小问题实例的最优解相比,该算法有效地为40个实例中的38个生成了最优解,而其他2个实例则产生了接近最优的解。此外,该算法明显优于单独优化分配,路由和约会调度的方法。 (C)2018 Elsevier Ltd.保留所有权利。

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