Maintenance service network redesign for geographically distributed moving assets using NSGA-II in agriculture

This paper proposes a novel multi-objective mixed-integer programming addressing the real-world maintenance service network design problem in agriculture. The model considers several key issues during the construction process of the maintenance service network, such as the demand balance of the network units, the total travel costs of all service providers in the network, service availability and geographical accessibility. The non-dominated sorting genetic algorithm II (NSGA-II) is applied to solve the proposed model. Finally, we present several numerical examples, including a real-life case study from the agricultural machinery industry, and the final results demonstrate the applicability of the proposed model and the effectiveness of the solution procedure.