Taxonomy of candidate’s selection for prioritized predictive maintenance in maintenance, repairs and overhaul organizations

Abstract

Purpose

Research questions: Is there a systemic relationship between different methods of screening candidates for predictive maintenance? How do the goals of a predictive project influence the choice of a dropout method? How do the company’s characteristics implementing the predictive project influence the selection of the dropout method?

Design/methodology/approach

The authors described and compiled a taxonomy of currently known methods of screening candidate aircraft components for predictive maintenance for maintenance, repairs and overhaul organizations; identified the boundaries of each way; analyzed the advantages and disadvantages of existing methods; and formulated directions for further development of methods of screening for maintenance, repairs and overhaul organizations.

Findings

The authors identified the relationship between various screening methods by developing the approach proposed by Tiddens WW and supplementing it with economic methods. The authors built them into a single hierarchical structure and linked them with the parameters of the predictive project. The principal advantage of the proposed taxonomy is a clear relationship between the structure of the screening methods and the goals of the predictive project and the characteristics of the company that implements the project.

Originality/value

The authors of the article proposed groups of screening methods for predictive maintenance based on economic indicators to improve the effectiveness and efficiency of the screening process.

Citation

Fedorov, R. and Pavlyuk, D. (2023), "Taxonomy of candidate’s selection for prioritized predictive maintenance in maintenance, repairs and overhaul organizations", Journal of Quality in Maintenance Engineering, Vol. 29 No. 3, pp. 589-605. https://doi.org/10.1108/JQME-04-2022-0022