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Assigning and Scheduling Service Visits in a Mixed Urban/Rural Setting
International Journal on Artificial Intelligence Tools ( IF 1.1 ) Pub Date : 2020-06-17 , DOI: 10.1142/s0218213020600076
Mark Antunes 1 , Vincent Armant 2 , Kenneth N. Brown 2 , Daniel Desmond 2 , Guillaume Escamocher 2 , Anne-Marie George 3 , Diarmuid Grimes 4 , Mike O’Keeffe 5 , Yiqing Lin 6 , Barry O’Sullivan 2 , Cemalettin Ozturk 7 , Luis Quesada 2 , Mohamed Siala 8 , Helmut Simonis 2 , Nic Wilson 2
Affiliation  

This papera describes a maintenance scheduling application, which was developed together with an industrial partner. This is a highly combinatorial decision process, to plan and schedule the work of a group of travelling repair technicians, which perform preventive and corrective maintenance tasks at customer locations. Customers are located both in urban areas, where many customers are in close proximity, and in sparsely populated rural areas, where the travel time between customer sites is significant. To balance the workload for the agents, we must consider both the productive working time, as well as the travel between locations. As the monolithic problem formulation is unmanageable, we introduce a problem decomposition into multiple sequential steps, that is compatible with current management practice. We present and compare different models for the solution steps, and discuss results on datasets provided by the industrial partner.

中文翻译:

在混合城乡环境中分配和安排服务访问

这张纸一种描述了与工业合作伙伴共同开发的维护计划应用程序。这是一个高度组合的决策过程,用于计划和安排一组巡回维修技术人员的工作,他们在客户地点执行预防性和纠正性维护任务。客户既位于城市地区,许多客户就在附近,也位于人口稀少的农村地区,客户站点之间的旅行时间很长。为了平衡代理的工作量,我们必须考虑生产性工作时间以及地点之间的旅行。由于单一的问题公式难以管理,我们将问题分解为多个顺序步骤,这与当前的管理实践兼容。
更新日期:2020-06-17
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