In this paper, we present "FabSearch", a prototype search engine for sourcing\nmanufacturer service providers, by making use of the product manufacturing\ninformation contained within a 3D digital file of a product. FabSearch is\ndesigned to take in a query 3D model, such as the .STEP file of a part model\nwhich then produces a ranked list of job shop service providers who are best\nsuited to fabricate the part. Service providers may have potentially built\nhundreds to thousands of parts with associated part 3D models over time.\nFabSearch assumes that these service providers have shared shape signatures of\nthe part models built previously to enable the algorithm to most effectively\nrank the service providers who have the most experience to build the query part\nmodel. FabSearch has two important features that helps it produce relevant\nresults. First, it makes use of the shape characteristics of the 3D part by\ncalculating the Spherical Harmonics signature of the part to calculate the most\nsimilar shapes built previously be job shop service providers. Second,\nFabSearch utilizes meta-data about each part, such as material specification,\ntolerance requirements to help improve the search results based on the specific\nquery model requirements. The algorithm is tested against a repository\ncontaining more than 2000 models distributed across various job shop service\nproviders. For the first time, we show the potential for utilizing the rich\ninformation contained within a 3D part model to automate the sourcing and\neventual selection of manufacturing service providers.\n