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.
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 102221 |
| Seitenumfang | 10 |
| Fachzeitschrift | Journal of Air Transport Management |
| Volume | 102 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - Juli 2022 |
Wissenschaftszweige
- 202017 Embedded Systems
- 102006 Computer Supported Cooperative Work (CSCW)
- 102015 Informationssysteme
- 102016 IT-Sicherheit
- 102020 Medizinische Informatik
- 102022 Softwareentwicklung
- 102027 Web Engineering
- 102034 Cyber-Physical Systems
- 509026 Digitalisierungsforschung
- 502032 Qualitätsmanagement
- 502050 Wirtschaftsinformatik
- 503015 Fachdidaktik Technische Wissenschaften
JKU-Schwerpunkte
- Digital Transformation
Projekte
- 1 Abgeschlossen
-
Christian Doppler Laboratory for Model-Integrated Smart Production
Eisenberg, M. (Forscher*in), Gemeinhardt, F. (Forscher*in), Govindasami, H. S. (Forscher*in), Jayaraman, R. (Forscher*in), Mitter, A. (Forscher*in), Sindelar, R. (Forscher*in), Sint, S. (Forscher*in), Taspinar, B. (Forscher*in) & Wimmer, M. (Projektleiter*in)
01.01.2017 → 31.12.2023
Projekt: Geförderte Forschung › CDG - Christian Doppler Forschungsgesellschaft
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