Abstract
Abstract Aiming at the problems of uneven distribution of maintenance resources and poor planning in the process of complex equipment maintenance, a complex equipment maintenance resource scheduling optimization method based on the hidden semi-Markov model is proposed. Establish a hidden semi-Markov model based on the monitoring data of each maintenance point to evaluate the health status of the equipment, and calculate the importance and priority of each maintenance point based on the health status. Establish the transportation time matrix between the support points and the maintenance points, and propose the maintenance resource scheduling plan between the maintenance points and the support points. The experimental results show that using the monitoring data of four self-propelled artillery to be repaired, the accuracy of the calculated priority is 1.2% higher than the importance. Therefore, the priority of the maintenance point is selected to optimize the resource scheduling plan under the condition of meeting the task requirements and the given maintenance support resources, and shorten the average waiting time of the self-propelled artillery.
Highlights
In order to solve the problems of uneven distribution of maintenance resources, poor planning, and inaccurate forecasts in the process of coordinated maintenance of complex equipment, a complex equipment maintenance resource scheduling optimization method based on hidden semi-Markov model is proposed
Literature [3] established a multi-demand-multi-supplier maintenance resource scheduling optimization model with soft time windows used by the scheduling optimization module in the system, and applied genetic algorithm to analyze the solution of the model [3]
This paper proposes an optimization method for complex equipment maintenance resource scheduling based on hidden semi-Markov model
Summary
In order to solve the problems of uneven distribution of maintenance resources, poor planning, and inaccurate forecasts in the process of coordinated maintenance of complex equipment, a complex equipment maintenance resource scheduling optimization method based on hidden semi-Markov model is proposed. Literature [1] proposes a multi-objective solution model based on fuzzy sets and decision satisfaction, and introduces weight coefficients in satisfaction and methods, so that program decision makers can configure different weights for multi-object satisfaction membership functions to make decisions [1]. Research in this area focuses more on processing deterministic information, which has great limitations in practical applications. Literature [3] established a multi-demand-multi-supplier maintenance resource scheduling optimization model with soft time windows used by the scheduling optimization module in the system, and applied genetic algorithm to analyze the solution of the model [3]. The scheduling priority between maintenance points is not determined, resulting in poor scheduling efficiency
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