Predicting the unpredictable: General Aviation (GA) aircraft cost estimation evaluation

  • Azad Khandoker
  • , Ali Shahriar
  • , Guido Gessl
  • , Sabine Sint
  • , M. A. Hamid
  • , Abrar Tariq
  • , Al Rahman

Research output: Contribution to journalArticlepeer-review

Abstract

Cost estimation is an important part of project planning as well as research endeavor. Since the well-established cost estimation models used in the GA aircraft industry are already several decades old, a re-evaluation of their applicability to current market conditions is essential. Reliable cost estimation may also improve the chances to get external funding – a vital point for start-ups. To tackle this issue, we developed a research method to investigate potential cost models for GA aircraft that can serve as a guideline for, e.g., start-ups and research works. After gathering existing cost estimation models, they are classified and analyzed to find the ones most suitable for small aircraft. For evaluation purpose, the two most promising ones are applied to data from existing aircraft models to compare their accuracy and finally the best one is coded as an application in Python to improve usability. With our presented research method we show a possibility to perform early cost estimation for small GA aircraft and offer a software tool to simplify its application.
Original languageEnglish
Article number102221
Number of pages10
JournalJournal of Air Transport Management
Volume102
DOIs
Publication statusPublished - Jul 2022

Fields of science

  • 202017 Embedded systems
  • 102006 Computer supported cooperative work (CSCW)
  • 102015 Information systems
  • 102016 IT security
  • 102020 Medical informatics
  • 102022 Software development
  • 102027 Web engineering
  • 102034 Cyber-physical systems
  • 509026 Digitalisation research
  • 502032 Quality management
  • 502050 Business informatics
  • 503015 Subject didactics of technical sciences

JKU Focus areas

  • Digital Transformation

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