Stochastic Comparisons of Series and Parallel Systems arising from Lomax Components with ‎Archimedean Copula

‎This paper studies the usual stochastic‎, ‎star ‎and ‎‎convex transform orders of both series and parallel systems comprised of heterogeneous‎ (and dependent) components‎. ‎Sufficient conditions are established for the star ordering between the lifetimes of series and parallel systems consisting of dependent‎‎components having multiple-outlier lomax model‎. ‎We also prove that‎, ‎without any restriction on the parameters‎, ‎the lifetime of a parallel or series systems‎‎with dependent heterogeneous components is smaller than that with dependent‎‎homogeneous components in the sense of the convex transform order‎.‎