Use of Live Aircraft Data in Aircraft Maintenance Management

2021 ◽  
pp. 51-70
Author(s):  
Stephen J Wright
Keyword(s):  
Maintenance Management ◽  
Aircraft Maintenance ◽  
Aircraft Data

Digital Transformation Approaches for Aircraft Maintenance Operations

2021 ◽  
pp. 145-164
Author(s):  
Ercan Kivanç ◽  
Özalp Vayvay ◽  
Zeynep Tuğçe Kalender
Keyword(s):  
Industry 4.0 ◽  
Digital Transformation ◽  
Maintenance Management ◽  
Aircraft Maintenance ◽  
Digital Revolution ◽  
Security Standards ◽  
Aviation Operations ◽  
High Degree ◽  
The Impact ◽  
Management Issues

Digital transformation is one of the critical drivers of change in aviation as in many areas. Aviation operations are always aimed to be carried out with a high degree of safety and security standards. Efficient aircraft maintenance management makes a significant contribution to meeting these standards. The digital revolution offers excellent opportunities for safety, reliability, and efficiency advancement for aviation continuing airworthiness. This chapter provides a basic overview of aircraft maintenance processes and highlights some of the maintenance management issues. This chapter addresses some of the industry 4.0 technologies that have been tested for use or currently used in aircraft maintenance operations and discusses the impact of these technologies on current management problems. Consequently, this chapter is expected to present useful information and comments for the aircraft maintenance community, including managers and professionals, and encourage them to think about other possible innovations beneficial to their processes.

scholarly journals Planning and management of aircraft maintenance using a genetic algorithm

2021 ◽  
Vol 23 (1) ◽  
pp. 143-153
Author(s):  
Mirosław Kowalski ◽  
Mariusz Izdebski ◽  
Jolanta Żak ◽  
Paweł Gołda ◽  
Jerzy Manerowski
Keyword(s):  
Genetic Algorithm ◽  
Real Data ◽  
Maintenance Management ◽  
Aircraft Maintenance ◽  
Maintenance Planning ◽  
Technical Documentation ◽  
New Approach ◽  
Planning And Management ◽  
The Individual ◽  
Algorithm Construction

The aim of the article was to develop a tool to support the process of planning and managing aircraft (ac) maintenance. Aircraft maintenance management has been presented for scheduled technical inspections resulting from manufacturers’ technical documentation for ac. The authors defined the problem under investigation in the form of a four-phase decisionmaking process taking into account assignment of aircraft to airports and maintenance stations, assignment of crew to maintenance points, setting the schedules, i.e. working days on which aircraft are directed to maintenance facilities. This approach to the planning and management of aircraft maintenance is a new approach, unprecedented in the literature. The authors have developed a mathematical model for aircraft maintenance planning and management in a multi-criteria approach and an optimisation tool based on the operation of a genetic algorithm. To solve the problem, a genetic algorithm was proposed. The individual steps of the algorithm construction were discussed and its effectiveness was verified using real data.

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