Maintenance human error factors (MHF) are the conditions that can lead to a human error in maintenance, and have been widely acknowledged as major contributors to maintenance quality. These factors can have a significant effect on operating costs in industrial settings. However, there seems to be a scarcity of papers that aim to estimate the effect of improving these factors on both the maintenance quality and the total cost. The objective of this research is to provide a comprehensive framework to estimate this effect. The proposed framework utilizes a simulation model to establish the total cost associated with a preventive maintenance interval. Our simulation case model consists of three systems in a series, each system consisting of two or three major components operating in parallel where one or two components must be operational at all times. A key feature of our simulation model is that we estimate the probability of component failure based on real failure data, integrated with MHF survey results. By using this simulation model the effect of modifying the MHF on total cost can be estimated. We believe that our framework can enhance maintenance quality and reduce total cost by recognizing MHF that should be improved.