Abstract
The characteristics of military equipment maintenance work are analyzed. According to the actual needs of the army, the optimization objective is designed, and a multiobjective flexible maintenance process optimization model is built based on the maintenance business organization process. Combining the advantages of NSGA-II algorithm and the simulated annealing algorithm, this paper proposes a novel improved HNSGSA algorithm, of which algorithm flow is detailed. In accordance with the requirements of the optimization model, this paper also specifically designs the coding methods of the process sequence, the equipment selection and the process scheduling, and the corresponding cross mutation method. The feasibility of the built model is verified by the actual data of maintenance business. And, the superiority, accuracy, and effectiveness of the proposed algorithm are further validated by the comparison with the NSGA-II algorithm and the simulated annealing algorithm, providing a scientific reference for the army to carry out equipment maintenance.
Highlights
Weapon equipment maintenance is an important part of equipment support work, which is of great significance to effectively maintain and restore the combat technical performance of equipment
Flexible job shop scheduling problem (FJSP) [2] breaks through the uniqueness limitation of JSP and is a complex NP problem [3]. e research content includes the flexibility of process mode, the flexibility of machine selection, and the flexibility of process sequence. e process flexibility indicates that there is one or several maintenance processes in the process of operation that can be replaced by other processes. e flexibility of machine selection means that multiple maintenance machines can meet the same process maintenance requirements and can be replaced. e process sequence flexibility means that several working procedures can be adjusted in sequence under the premise of satisfying the technological constraints
According to the actual situation of the equipment maintenance divided into different professions, a scheduling optimization model for multiequipment with multiprofessional component parallel operations is established, and procedure of professional process division, equipment selection, and personnel allocation is described mathematically. e optimization objectives of minimum completion time, minimum average completion time, and minimum man-hour cost and corresponding constraints are proposed, which are in line with the actual maintenance of military equipment
Summary
Weapon equipment maintenance is an important part of equipment support work, which is of great significance to effectively maintain and restore the combat technical performance of equipment. In Literature [5], a hybrid Pareto method based on the distribution estimation algorithm and Mallows distribution was developed to solve the flexible workshop scheduling problem of multiobjective process. Literature [6] proposed a domainindependent genetic algorithm method to solve the flexible job shop scheduling problem of machine selection. In terms of the algorithm research, literature [10] combined simulated annealing algorithm and genetic algorithm and proposed an NGASA algorithm to solve the flexible shop scheduling problem. Reference [11] presented an improved NSGA-II algorithm to solve the multiobjective flexible job shop scheduling problem. To address the above issues, on the basis of analyzing the characteristics of equipment maintenance, this paper abstracts the optimization model from the maintenance practice, proposes a novel HNSGSA algorithm, and improves the methods of coding, cross, and mutation. A practical process scheduling scheme for equipment maintenance is obtained as a result
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