Skill set issues in aircraft maintenance from industrial revolution 4.0 context: A document analytics survey

Abstract

BACKGROUND: Aircraft maintenance and repair are critical tasks in the aviation industry for improved aircraft service and safety. Many articles and reports describe personnel factor and skill issues contribute to many aircraft incidents. Aircraft maintenance personnel needs to level up their skill set to match with task requirements in the setting of Industry Revolution 4.0. OBJECTIVE: The aim of this paper is to investigate document set that describe human errors and skill mismatch as a human factor in aircraft incidents and problems. It also discusses on the findings and management of the aircraft maintenance skill issues. METHODS: The study uses a document analytics tool to assess a set of online articles that discuss aircraft maintenance incidents and skill mismatch issues. The experiment is divided into four (4) modules: (i) collection of online articles and reports, (ii) document pre-processing, (iii) text analytics, and (iv) visualisation. RESULTS: The experiment's results show that the majority of documents discuss aircraft maintenance, skill mismatch, and training gaps. CONCLUSION: We can conclude that the document dataset primarily discusses aircraft maintenance and skill set issues using the document analytics. Consequently, the management of aircraft maintenance workforce skill set issues by having initiatives for upskilling and reskilling. Furthermore, firms should foster a culture of continuous learning and develop a mindset among their employees that allows them to adapt to new technologies and information in aircraft maintenance.