Preventive maintenance (PM) is a predetermined task that constitutes any maintenance actions performed
before the quantity or quality of product equipment deteriorates. PM is primarily aimed at protecting assets,
improving system reliability, and decreasing system downtime. Recently, the implementation of PM is
becoming more challenging due to the increase in complexity of manufacturing systems. A case study on
the effect of different parameters from a maintenance perspective on industrial shop floor performance is
presented. The parameters include number of technicians, number of operations in each machine before
maintenance actions, and volume of parts ordered by customers. This present research demonstrates the
application of WITNESS simulation software to develop shop floor simulation model and the use of
analysis of variance (ANOVA) to measure the significance of such parameters on performance.