Virtual-based Optimization Method for Passenger-to-cargo Assembly Process Planning
To improve the assembly efficiency of passenger-to-cargo(P2C)conversion,this study propo-ses a virtual-based multi-objective optimization method for P2C assembly process planning.With the as-sembly priority,operational stability,and operational aggregation as constraints,the mathematical model that characterizes the superiority or inferiority of assembly solutions are defined,and used as fitness func-tions for multi-objective optimization.The computing framework of multi-objective optimization using NS-GA-Ⅱ is established,which introduces the nonlinear adaptive optimization parameters and loop-elimina-tion system to ensure the diversity and uniform distribution of offspring solutions.In case study,the pro-posed method is demonstrated on the Boeing 737-800 main cargo door to determine the optimal solution for P2C assembly.With the assist of DELMIA virtual assembly technology,the feasibility of the optimal solution is verified through interference detection analysis.The simulation results confirms that while im-proving the time efficiency,the proposed method can also avoid the potential assembly interference prob-lems,and provide guidance for actual P2C assembly process planning.
passenger to cargo conversionvirtual assemblygenetic algorithmmulti-objective optimiza-tionNSGA-Ⅱ
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