In manufacturing, Discrete Event Simulation (DES) can be effectively used to model production and provide sustainability analysis of equipment and system operation by measuring throughput, capacity, and bottlenecks. DES allows analysis under different scenarios and conditions that can then be used to forecast more optimal system performance. For discrete parts production, DES is rarely used because of the difficulty in attaining timely and accurate statistical modeling of the equipment and process operation. In this paper we look at the use of the plant floor interoperability standard, MTConnect, as a means to improve the access to machine tool data. Given data access, we develop a Finite State Model in order to streamline Machine Tool and DES integration. A case study of a prototype Capacity Planning system using DES as a modeling back-end will be described to help in understanding resource allocation of shop floor machines to a batch of aerospace parts. Direct machine tool statistical parameterization into a Web-based DES leads to “Push-button” automated simulations.