... failures (Kumar and Kumar, 2023). Kumar study provides insights into optimizing performance by accounting for both hardware and software failures, a concept that can be applied to OEE modeling for production lines that include automated machinery. Markov process Steady-state availability...

... the redundancy allocation problem. Findings Analysis of availability, reliability, mean time to failure and steady-state availability of the system is introduced. The measures of the system are discussed in special two cases when the elapsed repair time follows gamma and exponential distribution...

... for the system. Findings The effectiveness measures of the system are discussed such as availability, reliability, steady-state availability and mean time to system failure. The life and repair times of the system units are assumed to be discrete follow discrete Weibull distribution. Also, the parameters...

... of the complexity of the underlying assumptions of the Kijima Type II model, the authors use simulation modeling to estimate the system availability. Based on preliminary simulation results, the availability function achieves a steady-state value greater than zero. The system steady-state availability...

... natural gas to LNG. Figure 1 depicts various stage arrangements of each sub-system in an LNG facility. © Emerald Group Publishing Limited 2016 Markov process Preventive maintenance Steady-state availability λ_M  rate at which the component...