초록 열기/닫기 버튼
A minor defect in weapon systems such as aircraft, high-speed vehicle and nuclear power system, can cause fatal consequences. Thus, the weapon systems are requested high reliability to guarantee the use in the battlefield without any defects. Most of researches dealt with reliability maximization problem under considering the limited budget. But in practice, the majority of defense acquisition program go over their budget. Therefore, weapon developers have to consider the use of cost within the budget as well as reliability. Usually, reliability allocation problems are classified into two types :Maximization of the reliability within the budget and minimization of the cost with target reliability. In this research, unlike the previous two types of reliability allocation models which considered the initial acquisition cost in the phase of R&D, we suggest a new reliability allocation model which considers the maintenance costs after the force integration. Initial acquisition cost of weapon systems which have series and parallel mixed structure is expressed as a function,and Markov Chain model is used to calculate the expected value of maintenance cost which can be raised by fault repair and replacement. Based on that, we suggest a reliability allocation mathematics model of the objective function of total required costs optimization by nonlinear programing. In conclusion, we can figure out that, in case of weapon system acquisition program within the budget, the reliability allocation which optimize the maintenance costs while achieving target reliability with minimum cost is more efficient than traditional way of allocating reliability into sub-structures of weapon system with maximization of total reliability.
키워드열기/닫기 버튼
Reliability allocation model, Cost optimization, Markov chain
