Abstract
Bu makale Model Tabanlı Sistem Mühendisliğini (MTSM) kullanan özgün bir yeniden mühendislik yöntemi sunmaktadır. İyi performans ve kalitede bir mühendislik ürünü geliştirmek uzun yıllar boyunca biriken bilgi ve deneyimi gerektirir. Bu bilgi ve deneyim havuzundan yoksun, ancak ürünü geliştirmeyi amaçlayanlar için, bu özgün yöntem bilgiyi biriktirmek, deneyim kazanmak ve daha gelişmiş bir ürün bulmak için gereken zamanı azaltabilir. Yöntem ayrıca, ürün geliştirme döngüsünün hızını artıracak deneysel verilerle onaylanmış dijital modellerden oluşan bir altyapı oluşturmak için bir yol sağlar. Altyapı sadece bilgiyi korumakla kalmaz, aynı zamanda bilgiyi anında kullanım için geliştiriciler tarafından kolayca erişilebilir hale getirir.
References
- Walden, D. D., Roedler, G. J., Forsberg, K., Hamelin, R. D., & Shortell, T. M. (2015). Systems engineering handbook: A guide for system life cycle processes and activities. John Wiley & Sons.
- Eisner, H. (2008). Essentials of project and systems engineering management. John Wiley & Sons.
- ARP4754, S. A. E. (1996). Certification considerations for highly-integrated or complex aircraft systems. SAE, Warrendale, PA.
- Oral, H. A. (2019, December). “An Establishment of a Common Modeling and Simulation Environment,” In 2019 3rd ASSAM Congress, ASSAM.
- Coppola, V. (accessed in 2019, September). “Lessons Learned from Software Development,” TECH Talks by AGI, Available: https://youtu.be/x90gMLeoiXo
Abstract
This paper provides a novel re-engineering method utilizing Model Based Systems Engineering (MBSE). It takes knowledge and experience accumulated over many years to develop an engineering product of good performance and quality. For those who lack that pool of knowledge and experience but aims to develop the product, this novel method could reduce the time required to accumulate the knowledge, to gain the experience and moreover to come up with a more enhanced product. The method also provides a way to build an infrastructure consisting of digital models validated by experimental data that would boost the pace of the product development cycle. The infrastructure not only preserves the knowledge but also it makes the knowledge easily accessible to developers for immediate use
References
- Walden, D. D., Roedler, G. J., Forsberg, K., Hamelin, R. D., & Shortell, T. M. (2015). Systems engineering handbook: A guide for system life cycle processes and activities. John Wiley & Sons.
- Eisner, H. (2008). Essentials of project and systems engineering management. John Wiley & Sons.
- ARP4754, S. A. E. (1996). Certification considerations for highly-integrated or complex aircraft systems. SAE, Warrendale, PA.
- Oral, H. A. (2019, December). “An Establishment of a Common Modeling and Simulation Environment,” In 2019 3rd ASSAM Congress, ASSAM.
- Coppola, V. (accessed in 2019, September). “Lessons Learned from Software Development,” TECH Talks by AGI, Available: https://youtu.be/x90gMLeoiXo
Details
| Primary Language | English |
|---|---|
| Subjects | Engineering |
| Journal Section | Articles |
| Authors | |
| Publication Date | April 1, 2020 |
| Published in Issue | Year 2020 Ejosat Special Issue 2020 (ARACONF) |
