Research On Decision-making Method Of Equipment Maintenance Support Scheme In Cloud Environment

The characteristics of modern war system are short warning time,complex operation process and numerous kinds of equipment.The level of equipment maintenance support has a direct impact on the army’s peacetime training combat level and wartime combat effectiveness,which is an important factor in the trend of victory or defeat in war.Base level equipment maintenance and support tasks are complex maintenance tasks,involving a large number of persons,complex resource requirements,many different equipment maintenance problems.How to make decisions of equipment maintenance and support program in a scientific and efficient way during the short period of time is significant to maintain,restore and improve the combat ability of the army.With the rapid development of cloud environment and cloud computing and the improvement of information level,it is increasingly important to improve and optimize the traditional equipment maintenance and support mode.Therefore,it is of great significance to study the planning and decision-making of equipment maintenance support scheme under the new situation.E-CARGO(environment-class,Agent,Role,Group,and Object)model is an important model in the field of role-based Collaboration(RBC).The complex practical problem is described as a mathematical model through the combination relationship of tuples in the model.In this paper,the E-CARGO model is used to formally describe the equipment maintenance support tasks in cloud environment.At the same time,the evaluation matrix in the model is extended to multiple task planning objective matrices according to the actual task requirements,and the corresponding evaluation index system is established to solve the determination problem of the evaluation matrix.To solve the problem of multi-objective optimization in equipment maintenance support scheme,this paper establishes a mathematical model of equipment maintenance support scheme which takes maintenance efficiency,maintenance quality and maintenance cost as optimization objectives.Based on the call strategy of NSGA-Ⅱ(Elitist Nondominated Genetic Sorting Algorithm),the Algorithm was designed to solve the feasible solution set that meets the requirements of equipment maintenance and support task.In order to make better decisions,the comprehensive evaluation index system of equipment maintenance support scheme is established.Entropy weight method and TOPSIS method were combined to solve the comprehensive evaluation value of the equipment maintenance support scheme.Finally,the equipment maintenance support scheme in the cloud environment was obtained.Through case analysis,the model and algorithm proposed in this paper can reasonably solve the multi-objective optimization problem of equipment maintenance support scheme in cloud environment.