Bishop, M. ScottFerrer, JosèMax, NelsonEric Galin and Michael Wand2014-12-162014-12-1620141017-4656https://doi.org/10.2312/egsh.20141009We present a method to arrange components of industrial facilities in a constrained site footprint. We use a probabilistic graphical model of industrial sites and existing procedural modeling methods to automate the assembly and 3D modeling of wastewater treatment plants. A knowledge engineered approach produces a combination of components that inherently contains domain specific information like process dependencies and facility size. The inferred combination is laid out using mathematical optimization or via a physics-based simulation resulting in an arrangement that respects the industrial process and design plausibility.I.3.2 [Computer Graphics]Graphics Systems Standalone SystemsG.3 [Probability and Statistics]Probabilistic Algorithms Bayesian NetworksI.2.6 [Computing Methodologies]Learning Knowledge Acquisition.Data Driven Assembly of Procedurally Modeled Facilities