  This article represents how certain types of blockades in any industrial
(heavy industries) production, in particular, industrial strikes can be modeled
with the proposed discrete probabilistic distribution as a baseline
distribution. We considered the number of outbreaks of strikes in the coal
mining industry, the vehicle manufacturing industry, and the transpose industry
in the UK obtained from Consul (1989). We fitted those data sets with the
proposed discrete gamma-Lomax distribution and compared the fit with the
discrete generalized Pareto distribution (Consul, 1989). For this purpose, we
explore the basic properties of the discrete gamma-Lomax distribution including
but not limited to: cumulative distribution, survival, probability mass,
quantile and hazard functions, genesis and rth-order moments; consider maximum
likelihood estimation under the normal set up as well as under the censored
data set scenario. It is observed that the newly proposed model can be useful
to describe strikes arising from various types of industries.
