TY - GEN
T1 - Simulation-based assessment of change propagation effect in an aircraft design process
AU - Xu, Dong
AU - Nageshwaraniyer, Sai Srinivas
AU - Son, Young Jun
AU - Song, Shuguang
PY - 2011
Y1 - 2011
N2 - In the current work, a simulation-based approach is proposed to assess the change propagation effect in an aircraft design process. To this end, three extensions are made to the conventional approach using design structure matrix to model change propagation effect. They are: 1) logistics factor associated with the component supplies of aircraft; 2) manufacturing system flexibility factor; 3) uncertainty in design change parameters. Then the effects of change propagation are simulated using a discrete-event simulation model in Arena involving detailed design process of totally eight components of a real aircraft. Finally, what-if analyses are performed by varying logistics and flexibility factors under uncertainty in design change parameters to assess the change propagation effect. An optimization problem is also solved using OptQuest to determine the change propagation path that minimizes the total risk of design change. Future work is discussed for extending the proposed approach to other related areas.
AB - In the current work, a simulation-based approach is proposed to assess the change propagation effect in an aircraft design process. To this end, three extensions are made to the conventional approach using design structure matrix to model change propagation effect. They are: 1) logistics factor associated with the component supplies of aircraft; 2) manufacturing system flexibility factor; 3) uncertainty in design change parameters. Then the effects of change propagation are simulated using a discrete-event simulation model in Arena involving detailed design process of totally eight components of a real aircraft. Finally, what-if analyses are performed by varying logistics and flexibility factors under uncertainty in design change parameters to assess the change propagation effect. An optimization problem is also solved using OptQuest to determine the change propagation path that minimizes the total risk of design change. Future work is discussed for extending the proposed approach to other related areas.
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U2 - 10.1109/WSC.2011.6147887
DO - 10.1109/WSC.2011.6147887
M3 - Conference contribution
AN - SCOPUS:84863410104
SN - 9781457721083
T3 - Proceedings - Winter Simulation Conference
SP - 1710
EP - 1721
BT - Proceedings of the 2011 Winter Simulation Conference, WSC 2011
T2 - 2011 Winter Simulation Conference, WSC 2011
Y2 - 11 December 2011 through 14 December 2011
ER -