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Engineering Advances

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Article http://dx.doi.org/10.26855/ea.2023.12.011

A Method for Determining the Requirements of Electronic Equipment Maintenance Personnel Based on FAHP and Queuing Theory

Zimeng Cheng1, Bangchun Liu1, Chen Xin2,*

1Space Engineering University, Beijing, China.

2Unit 73101 of the People's Liberation Army, Xuzhou, Jiangsu, China.

*Corresponding author: Chen Xin

Published: January 19,2024

Abstract

The high technological content of electronic equipment and the increased difficulty of failure maintenance make the battlefield emergency repair tasks of electronic equipment complex and heavy in wartime. It is very important for decision-makers to determine the wartime maintenance personnel requirements of electronic equipment to meet the task requirements and avoid the waste of maintenance resources. Based on the fuzzy analytical hierarchy process (FAHP), the relevance evaluation of maintenance professional types was first carried out, and then the degree of the professional type irreplaceability was evaluated, and the technical level for maintenance personnel was determined successfully. Based on accompanied maintenance and fixed points maintenance, the optimal maintenance personnel quantity model is established by the queuing theory model. Finally, taking a new electronic reconnaissance vehicle as an example, the maintenance requirements of the reconnaissance system of the vehicle are analyzed. The results show that the model proposed in this paper provides technical support and a quantitative analysis method for the determination of electronic equipment maintenance requirements during wartime. The paper also puts for-ward some interesting research directions for the future.

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How to cite this paper

A Method for Determining the Requirements of Electronic Equipment Maintenance Personnel Based on FAHP and Queuing Theory

How to cite this paper: Zimeng Cheng, Bangchun Liu, Chen Xin. (2023). A Method for Determining the Requirements of Electronic Equipment Maintenance Personnel Based on FAHP and Queuing Theory. Engineering Advances3(6), 498-504.

DOI: https://dx.doi.org/10.26855/ea.2023.12.011