A New Approach to Analyzing Behavioral Change Propagation in Redesigning of Drone Camera Stabilizer
- 1 Department of Aerospace Engineering, Faculty of Engineering, SRBIA University, Tehran, Iran
- 2 Department of Aerospace Engineering, Faculty of Engineering, SRBIA University, Tehran, Iran
- 3 Department of Aerospace Engineering, Faculty of Engineering, SRBIA University, Tehran, Iran
Abstract
Redesigning of complex products is not an easy task. Engineering change requirements can be extracted at any stage of the product redesign process, and it makes the management of engineering change become a challenging mission. The motivation for this study is to find the shortest path of behavioral change propagation (BCP), minimize the BCP, access to the special behavioral elements in order to better managing the BCP and classifying the behavioral attribute of the elements in terms of their relationship to change by betweenness centrality coefficient (BNCC), clustering coefficient (CLC), reachability coefficient (RC) and change propagation index (CPI). In this article, the procedure of managerial decision-making is proposed by combining system restrictions in behavioral clustering design structure matrix (BCDSM) with optimization algorithms. The practicality of suggested method is verified in redesign procedure of a phantom drone camera stabilizer as a case study. The results, indicate that the absorption of change by behavioral elements is dominant in the mechanical (63.9%), electrical (61.1%) and thermal (38.9%) behaviors of the drone camera stabilizer system in redesign process. These elements are best candidates for reducing the cost and time of behavioral changes in the system redesign and are desirable for the designer.
- Anderson, D.M. (2014) Design for Manufacturability. 1st Edition, CRC Press, Boca Raton.
- Tang, D.B., Yin, L.L., Wang, Q., Ullah, I., Zhu, H.H. and Leng, S. (2016) Workload-Based Change Propagation Analysis in Engineering Design. Journal of Concurrent Engineering: Research and Applications, 24, 17-34. https://doi.org/10.1177/1063293X15608510
- Smart-Tools-Lab (2005) Redesign IT: Managing Design Changes. http://www.engr.ucr.edu/~stahov/research/redesignit.htm
- Masmoudi, M., Leclaire, P., Zolghadri, M. and Haddar, M. (2017) Change Propagation Prediction: A Formal Model for Two-Dimensional Geometrical Models of Products. Journal of Concurrent Engineering: Research and Applications, 25, 174-189. https://doi.org/10.1177/1063293X17698192
- Li, Y., Zhao, W. and Ma, Y. (2016) A Shortest Path Method for Sequential Change Propagations in Complex Engineering Design Processes. Journal of Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 30, 107-121. https://doi.org/10.1017/S0890060415000311
- Zakeri, M., Nosratollahi, M., Sabeti, M.R., Moghadas Najaf Abad, H.R. and Maleki, H. (2021). A New Approach to Engineering Change Management for Space Projects. Journal of Space Science & Technology, 14, 43-54.
- Plehn, C. (2018) A Method for Analyzing the Impact of Changes and Their Propagation in Manufacturing System. Dissertation, University of München, Munich.
- Li, Y. and Zhao, W. (2014) An Integrated Change Propagation Scheduling Approach for Product Design. Journal of Concurrent Engineering: Research and Applications, 22, 347-360. https://doi.org/10.1177/1063293X14553809
- Moghadas, H.R., Jafari, H.R., Nikkhah, A. and Roshanian, J. (2009) Mathematical Modeling for a Three Axes Gyro Stabilized Platform. Proceedings of the 8th International Conference of Iranian Aerospace Society, AERO, 17-19 February 2009, MUT University, Munich.
- Nikkhah, A., Roshanian, J., Moghadas, H.R. and Jafari, H.R. (2014) Modeling and LQR Controller Design for a Three Axes Gyro Stabilized Platform. Journal of Aerospace Mechanics, 10, 1-13.
- Eltaief, A., Borhen, L. and Remy, S. (2018) Associations Management and Change Propagation in the CAD Assembly. Journal of Computers in Industry, 98, 134-144. https://doi.org/10.1016/j.compind.2018.02.012
- Duran-Novoa, R., Weigl, J.D., Henz, M. and Koh, E.C.Y. (2018) Designing in Young Organisations: Engineering Change Propagation in a University Design Project. Journal of Research in Engineering Design, 29, 489-506. https://doi.org/10.1007/s00163-018-0292-9