A objective-oriented method for module workscope decision-making was proposed to supply support for the aero-engine module workscope and achieve automatic and intelligent decision-making after analyzing the objectives of aero-engine shop visit.Module workscope was made through two steps from five aspects of life limited parts

airworthiness directive/service bulletin

hardware damage

soft time and exhaust gas temperature margin.To solve the problem of distribution of module performance restoration value in decision-making process

an optimization model based on minimum shop visit cost was put forward and solved by using dynamic programming and heuristic algorithm

respectively.By comparing the results

an applicable environment of the two algorithms was given.Finally

the proposed decision-making method was applied to a prototype system.The test result in an airline shows that the proposed decision-making method is effective and capable of satisfying the requirements of airline companies.