  In this article, we study the collocated and distributed deployment of
intelligent reflecting surfaces (IRS) for a fixed total number of IRS elements
to support enhanced mobile broadband (eMBB) and ultra-reliable low-latency
communication (URLLC) services inside a factory. We build a channel model that
incorporates the line-of-sight (LOS) probability and power loss of each
transmission path, and propose three metrics, namely, the expected received
signal-to-noise ratio (SNR), expected finite-blocklength (FB) capacity, and
expected outage probability, where the expectation is taken over the
probability distributions of interior blockages and channel fading. The
expected received SNR and expected FB capacity for extremely high blockage
densities are derived in closed-form as functions of the amount and height of
IRSs and the density, size, and penetration loss of blockages, which are
verified by Monte Carlo simulations. Results show that deploying IRSs
vertically higher leads to higher expected received SNR and expected FB
capacity. By analysing the average/minimum/maximum of the three metrics versus
the number of IRSs, we find that for high blockage densities, both eMBB and
URLLC services benefit from distributed deployment; and for low blockage
densities, URLLC services benefit from distributed deployment while eMBB
services see limited difference between collocated and distributed deployment.
