Applying Trade-off Curve to Support Set-Based Design application at an Aerospace Company

Authors

  • Esraa M. Mohsin Department of Automated Manufacturing Engineering/ Al-Khwairzmi College of Engineering/ University of Baghdad/ Iraq
  • Osamah F. Abdulateef Department of Automated Manufacturing Engineering/ Al-Khwairzmi College of Engineering/ University of Baghdad/ Iraq
  • Ahmed Al-Ashaab Department of Manufacturing / School of Applied Sciences/ Cranfield University)/ UK

DOI:

https://doi.org/10.22153/kej.2020.10.001

Abstract

Companies compete greatly with each other today, so they need to focus on innovation to develop their products and make them competitive. Lean product development is the ideal way to develop product, foster innovation, maximize value, and reduce time. Set-Based Concurrent Engineering (SBCE) is an approved lean product improvement mechanism that builds on the creation of a number of alternative designs at the subsystem level. These designs are simultaneously improved and tested, and the weaker choices are removed gradually until the optimum solution is reached finally. SBCE implementations have been extensively performed in the automotive industry and there are a few case studies in the aerospace industry. This research describe the use of trade-off curve as a lean tool to support SBCE process model in CONGA project, using NASA simulation software version 1.7c and CONGA demonstration program (DEMO program) to help designers and engineers to extract the design solution where it exists according to the customer requirement and to extract alternative nearest solutions from the previous project that meet customer requirement to achieve low noise engine at an aerospace company and also extract the infeasible region where the designers cannot make any prototype in this region before manufacturing process begin, that will lead to reducing rework, time and cost.

Downloads

Download data is not yet available.

References

T. A. Roemer and R. Ahmadi, “Concurrent crashing and overlapping in product development,” Operations Research, vol. 52, no. 4, pp. 606-622, 2004.

A. Ward, J. K. Liker, J. J. Cristiano and D. K. Sobek, “The second Toyota paradox: how delaying decisions can make better cars faster,” Sloan Management Review, vol. 36, no. 3, 1995.

M. Khan, A. Al-Ashaab, A. Doultsinoua, E. Shehab, P. Ewers, and R. Sulowski, “Set-Based Concurrent Engineering process within the LeanPPD environment,” 18th ISPE International Conference on Concurrent Engineering, Massachusetts, USA, 4-8 July 2011.

D. K. Sobek, A. C. Ward, and J. K. Liker, “Toyota’s Principles of Set-Based Concurrent Engineering,” Management Review, vol. 40, no. 2, 1999.

M. Kennedy, K. Harmon, and E. Minnock, Ready, Set, Dominate: Implement Toyota’s Set-Based Learning for Developing Products and Nobody Can Catch You, CreateSpace Independent Publishing Platform, 2008.

H. Frank, and R. Parker. “Hot End technology for advanced, low emission large civil aircraft engines,” Combustion, vol. 2, 2012.

Z. C. Araci, M. U. Tariq, J. H. Braasch, A. Al-Ashaab, and M. C. Emre Simsekler, “Creating Knowledge Environment during Lean Product Development Process of Jet Engine,” International Journal of Advanced Computer Science and Applications, vol. 11, no.5, pp. 58-62, 2020.

M. Maksimovic, “Lean Knowledge Life Cycle Framework to Support Lean Product Development,” Ph.D. Thesis, University of Cranfield, 2013.

Z. C. Araci, A. Al-Ashaab, C. G. Almeida, and J. Mcgavin, “Enabling Set-based Concurrent Engineering via Physics-based Trade-off Curves,” WSEAS Transactions on Business and Economics, vol.13, pp. 620-626, 2016.

Z. C. Araci, A. Al-Ashaab, P. W. Lasisz, J. W. Flisiak, M. I. Maulana, N. Beg, and A. Rahman, “Trade-off Curves Applications to Supports Set-based Design of a Surface Jet Pump,” Procedia CIRP, vol. 60, pp. 356-361, 2017.

https://www.icao.int/safety/iStars/Pages/API-Data-Service-new.aspx.

Downloads

Published

2020-12-01

How to Cite

Applying Trade-off Curve to Support Set-Based Design application at an Aerospace Company. (2020). Al-Khwarizmi Engineering Journal, 16(4), 1-10. https://doi.org/10.22153/kej.2020.10.001

Publication Dates