Author(s)

Chaoyang Xin ¹, Liming Wang ¹

Affiliation(s)

¹ Mechanical and Electrical Engineering College, Huanghe Jiaotong University, Jiaozuo, 454950, China

Corresponding Author

Chaoyang Xin

ABSTRACT

Aircraft maintenance is a very important and essential festival in aviation activities. Aircraft maintenance directly affects the flight safety of aircraft and the economic benefits of airlines. In actual maintenance activities, there are many factors affecting maintenance, so it is difficult to list them one by one. Even the listed factors cannot be analyzed quantitatively, so it is very unfavorable for the company to formulate maintenance measures. Aviation maintenance quality is directly related to aircraft reliability and safety, and is an important part of aircraft life cycle management. The application of analytic hierarchy process can comprehensively evaluate the quality indicators of each maintenance unit, determine the overall quality of maintenance work, find weak links and further improve. In this study, the hierarchical clustering method is applied to analyze the aviation maintenance scheme, the hierarchical clustering analysis model is established, and the R language analysis software is used for detailed analysis. Through analysis, multiple maintenance schemes are aggregated into simple and representative scheme classes, so as to provide decision-making basis for scheme decision-makers. Practice shows that the method has the advantages of simple principle, easy operation and strong practicability.

KEYWORDS

Hierarchical clustering, Maintenance scheme, R language

CITE THIS PAPER

Chaoyang Xin, Liming Wang, Analysis of Aviation Maintenance Scheme based on Hierarchical Clustering. Industrial Engineering and Innovation Management (2022) Vol. 5: 49-52. DOI: http://dx.doi.org/10.23977/ieim.2022.050410.

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