Condition based maintenance optimization of an aircraft assembly process considering multiple objectives

The Commercial Aircraft Cooperation of China (COMAC) ARJ21 fuselage's final assembly process is used as a case study. Thefocus of this paper is on the condition based maintenance regime for the (semi-) automatic assembly machines and how theyimpact the throughput of the fuselage assembly process. The fuselage assembly process is modeled and analyzed by using agentbased simulation in this paper.The agent approach allows complex process interactions of assembly, equipment, and maintenanceto be captured and empirically studied. In this paper, the built network ismodeled as the sequence of activities in each stage, whichare parameterized by activity lead time and equipment used. A scatter search is used to find multiobjective optimal solutions forthe CBM regime, where the maintenance related cost and production rate are the optimization objectives. In this paper, in orderto ease computation intensity caused by running multiple simulations during the optimization and to simplify a multiobjectiveformulation,multipleMin-Max weightings are used to trace Pareto front. The empirical analysis reviews the trade-offs between theproduction rate and maintenance cost and how sensitive the design solution is to the uncertainties.