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Multi-Period Workforce Scheduling and Routing for Warranty Repair Services

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Figshare2025-02-24 更新2026-04-28 收录
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The data used in computational experiments for the Multi-Period Workforce Scheduling and Routing for Warranty Repair Services study is provided.The locations corresponding to projects, each representing a customer, were taken from a study [1] on a vehicle routing problem. A 400 customer location instance was selected for each of the three problem classes: random (R), cluster (C), and random clustered (RC).[1] Homberger, J. and Gehring, H. (2005). A two-phase hybrid metaheuristic for the vehicle routing problem with time windows. European Journal of Operational Research, 162(1):220–238. Logistics: From Theory to Application.

本研究针对保修维修服务多周期人员调度与路径规划(Multi-Period Workforce Scheduling and Routing for Warranty Repair Services)所开展的计算实验所用数据集已公开提供。 对应各项目(即每位客户)的位置数据源自一项针对车辆路径问题(Vehicle Routing Problem, VRP)的研究[1]。针对随机型(R)、集群型(C)以及随机集群型(RC)三类问题,各选取了一个含400个客户位置的算例。 [1] Homberger, J. 与 Gehring, H. (2005). 面向带时间窗车辆路径问题的两阶段混合元启发式算法. 《欧洲运筹学杂志》, 162(1):220–238. 《物流:从理论到应用(Logistics: From Theory to Application)》。

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2025-02-24
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