Authors

Abstract

In response to the seasonal surge in the number of agricultural machinery failures in the service area caused by cross regional operations of agricultural machinery, agricultural machinery and equipment manufacturing enterprises have established emergency service networks to compensate for the insufficient service capacity of service providers. This paper proposes a method for locating and allocating emergency service vehicles based on a set coverage model, which aims to minimize the total cost of vehicle scheduling schemes and comprehensively consider the service scope and service capabilities of emergency service vehicles. An improved genetic algorithm is designed to solve the emergency service vehicle configuration problem, determine the scheduling location and number of emergency service vehicles, and verify its effectiveness through practical cases. Provide effective guarantee for agricultural machinery maintenance services for agricultural machinery enterprises in the cluster operation process, and improve the efficiency of maintenance services.

Abstract in Chinese

为应对农机跨区域作业造成的服务区农机故障数量季节性激增，农机设备制造企业建立了应急服务网络，以弥补服务商服务能力不足的问题。本文提出了一种基于集合覆盖模型的应急服务车辆定位和分配方法，旨在最大限度地降低车辆调度方案的总成本，并综合考虑应急服务车辆的服务范围和服务能力。设计了一种改进的遗传算法来解决应急服务车辆配置问题，确定应急服务车辆的调度位置和数量，并通过实际案例验证其有效性。为农机企业在集群作业过程中，农机维修服务提供有效的保障，提升维修服务效率。