A RealTime CBM DecisionMaking Model for Bernoulli Serial Production Line

Abstract:

Conditionalbased maintenance (CBM) can reduce the possibility of machines’ failure, but the stoppage resulted by CBM will affect the system’s throughput. In order to minimize the impact of CBM, a realtime maintenance decision method was proposed. First, a mathematical model based on Markov process model was developed to describe the system dynamics. Second, the model quantified the impact of system stoppages on the throughput by calculating the permanent production loss. Finally, a control algorithm was developed to optimize CBM decisions. A simulation case study was performed to validate the effectiveness of the model.