شماره ركورد كنفرانس :
2333
عنوان مقاله :
A new approach for optimizing a Condition Based Maintenance (CBM) model for a critical deteriorating system
عنوان به زبان ديگر :
A new approach for optimizing a Condition Based Maintenance (CBM) model for a critical deteriorating system
پديدآورندگان :
Zaghian Maryam نويسنده Department of Industrial engineering - Iran university of science and technology , Vahedi Neda نويسنده Department of Industrial engineering - Iran university of science and technology , Babaei Hamid نويسنده Department of Industrial engineering - Iran university of science and technology , Shahanaghi Kamran نويسنده Department of Industrial engineering - Iran university of science and technology
كليدواژه :
Condition based maintenance , Constraining failure probability , cost optimization , Monte Carlo simulation
عنوان كنفرانس :
پنجمين كنفرانس بين المللي نگهداري و تعميرات
چكيده لاتين :
In this paper a method for optimizing maintenance thresholds policy and time of inspection for a stochastically critical system suffering from continuous deterioration is proposed. Theauthors have executed a lexicographic method to tackle the problem. At the first step preventivemaintenance thresholds, preventive replacement thresholds and inspection periods are determined to constrain failure probability to a pre-specified value (P). Afterwards from the results derived from the firstphase, the values that minimize total maintenance costs per time unit are selected. It is assumed that eachpreventive maintenance action does not return the system state to its initial state and the system state improves according to a random coefficient (αt ). The exact computation and evaluation of the stationary probability distribution of the system state at infinity is impossible and even its approximation is tricky and time consuming, Therefore Monte Carlo simulation is utilized to optimize our model.
شماره مدرك كنفرانس :
4490271
