Optimization of age replacement policy using reliability based heuristic model

摘要

This paper explores a reliability based heuristic mathematical model for basic and classical age replacement policy. Using new model, optimal preventive age replacement policy is determined to maximize system reliability. For special systems having exponential density function with constant hazard function, a different simple decision-making model is proposed. A case study of two industrial machines was conducted using weibull density and exponential density function.