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.

Aiming at the problem of insufficient research on the importance evaluation of agricultural machinery spare parts in the process of cross-region operation of combine harvester, Based on CRITIC and TOPSIS, an evaluation model of the importance of spare parts for cross region combine harvesters was established. The CRITIC model was used to calculate the weight of each evaluation index, the weighted TOPSIS evaluation model was used to process the data, and the relative closeness between the spare parts of each harvester to be evaluated and the ideal solution was calculated. Finally, the spare parts resource management decision-making system platform is developed to effectively integrate the spare parts resource allocation. The results show that the model can reasonably and effectively evaluate the important demand degree of combine har-vester spare parts, and has a good reference value for the cooperative service of agricultural machinery service vehicles and the priority degree of spare parts loading.