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Solving Vehicle Routing Problem for Maintaining and Repairing Medical Equipment Using Differential Evolution Algorithm: A Case Study in Ubon Ratchathani Public Health Office

机译:用差分进化算法维护和修复医疗设备的求解车辆路径问题 - 以乌汶叻齐纳尼公共卫生办公室为例

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摘要

This research is to present the solution of the vehicle routing problem for maintaining and repairing medical equipment in Thailand. We take the health promoting hospitals in Ubon Ratchathani as our case study because there is a continuous medical equipment maintenance and repair service. Also, the service team can take a break at the set spots without coming back to the starting point because coming back to where the team started may have a more expensive cost than staying at the set spots nearby. We use time taken in traveling and repairing as a condition. Under this condition, we have VRP - CTST, which is more effective. We use improved differential evolution algorithms for testing our study case in order to find the optimal solution and to compare with classical differential evolution algorithms. We found that the improved differential evolution algorithms give a better solution than the classical differential evolution algorithms, and when compared with the best practice, we can reduce the traveling cost by 52.24%.
机译:该研究是介绍车辆路径问题的解决方案,以维持和修复泰国医疗设备。我们在Ubon Ratchathani的健康促进医院作为我们的案例研究,因为有持续的医疗设备维护和维修服务。此外,服务团队可以在套点上休息,而不会回到起点,因为回到球队开始的地方可能比住在附近的设定点更昂贵的成本。我们使用在旅行和修理时采取的时间作为条件。在这种情况下,我们有VRP - CTST,这更有效。我们使用改进的差分演进算法来测试我们的学习案例,以便找到最佳解决方案并与古典差分演进算法进行比较。我们发现改进的差分进化算法比经典差分演进算法提供更好的解决方案,并且与最佳实践相比,我们可以将行驶成本降低52.24%。

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