The assembly tolerance design methods have applied linear or nonlinear programming methods and used simulation method and search algorithms to optimize the tolerance allocation of each part in an assembly. However, those methods are only considered to the relationship between tolerance and manufacturing cost, which do not consider a quality loss cost for each part tolerance. In this paper, the integrated simulation model used genetic algorithm and the Monte-Carlo simulation method was developed for the allocation of the optimal tolerance considering the manufacturing cost and quality loss cost.
목차
Abstract 1. 서론 2. 유전알고리즘(공차배분방법)의 이론적 고찰 3. 새로운 공차설계방법 3.1 기호정의 3.2 비용-공차 함수와 품질 손질 함수를 적용한 목적함수 3.3 공차 배분 절차 3.4 유전 알고리즘과 몬테카를로 시뮬레이션의 통합 시뮬레이션모델 구축 4. 사례연구 5. 결론 6. 참고문헌