A likelihood control chart for monitoring bivariate lifetime processes

In this survey, two new control charts 𝐶𝐶𝐿𝑅 and 𝐶𝐶𝐴𝐿𝑅 for bivariate exponential variables by dependence structure based on Farlie Gumbel Morgenstern copula model are introduced. Simulation study is done to make a comparison between two proposed control charts in terms of average run length (𝐴𝑅𝐿). Results show that the 𝐶𝐶𝐴𝐿𝑅 performs better than 𝐶𝐶𝐿𝑅. Anumerical example is provided to fortify the theoretical findings.