Research On The Method Of Equipment Maintenance Support Resource Allocation And Task Scheduling

Equipment is the material basis for all military activities.Equipment maintenance and support activities are an indispensable and important part of military operations.The quality of maintenance and support activities directly affects the success or failure of military operations.The army needs to determine key and feasible maintenance tasks,and how to allocate existing maintenance resources to rationally organize equipment maintenance tasks to ensure that equipment maintenance support is fast and effective.This paper combines the actual problems of equipment maintenance support in wartime and peacetime to study the optimization of equipment maintenance resource allocation and task scheduling.The specific research content is as follows:1)In view of the characteristics of limited maintenance resources in wartime,a resource allocation decision-making scheme for multiple fixed-point maintenance stations—multiple concomitant maintenance stations—multiple maintenance demand points is proposed.Based on the queuing theory,an optimization model with the goal of minimizing the unavailability of the equipment to be repaired is established.The genetic algorithm is used to solve the model,and the maintenance resource allocation plan of each maintenance station under the condition of resource constraints is obtained.2)Aiming at the wartime equipment maintenance task scheduling problem oriented to accompanying repair,the optimization plan of wartime accompanying maintenance task scheduling is studied.The uncertainty factors,interruption strategy and rescheduling strategy of the contribution of repairing battle-damaged equipment to the battle are proposed,and a multi-objective maintenance task scheduling model is established.The model is solved by the non-dominated sequencing genetic algorithm with elite strategy(NSGA-II).The simulation of battlefield maintenance task scheduling and scheduling results analysis were carried out using MATLAB software.The simulation results analysis showed that by adjusting the weight of the objective function during wartime,the commander can obtain the dynamic scheduling results of maintenance tasks that are more in line with the current battle conditions.3)In view of the complex characteristics of maintenance support tasks,such as multiple internal procedures,different types of maintenance personnel,and different levels of maintenance personnel,the problem of maintenance resource allocation within a single maintenance task is studied.A dual-objective optimization model with the shortest maintenance man-hours and the minimum total load of human resources is established.For the hybrid particle swarm genetic algorithm,a crossover operator based on the priority value encoding of the critical path algorithm and preemptive scheduling is designed to solve the problem.Using MATLAB software to simulate the non-preemption,one-time preemption,and multiple preemption scheduling schemes for the examples.The simulation results show that there are no preemption,one-time preemption,and multiple preemption scheduling schemes for multiple processes under the constraints of multiple work types and multi-level human resources.When maintenance time is dominant,multiple preemptive maintenance process scheduling has obvious advantages.The decision maker can set the weight of the objective function according to the demand to get the best scheduling plan.